Dr. A. Karunamurthy, Ph.D., is an Associate Professor in sri Manakula vinayagar engineering College Autonomous pondicherry He received his Ph.D., from Bharathiyar University, Coimbatore and M.Tech from Manonmaniyan Sundernar University Thirinelveli. He pursued his P.G in Pondichery University. He is an academician, in Computer Science, with more than a decade of accomplished experience in teaching. He has published over 30 articles in national and international referred. He has participated in numerous conference and workshop in academic platform. Phone: (997) 677-7445 Address: Pondicherry India
International Journal of Science and Research (IJSR), 2024
In today's digital landscape, e-commerce websites serve as crucial hubs for online businesses, dr... more In today's digital landscape, e-commerce websites serve as crucial hubs for online businesses, driving exponential growth in the realm of internet-based commerce. However, while the prevalence of e-commerce is undeniable, its reach in underdeveloped regions remains limited, leaving ample room for expansion and improvement. This paper delves into the multifaceted process of developing an e-commerce website, addressing key challenges and presenting optimal solutions. The development journey is segmented into two fundamental components: front-end and back-end development, each playing a pivotal role in delivering a seamless user experience. Furthermore, database design is explored in detail, emphasizing the importance of relational connectivity for robust functionality and efficient data management. Join us as we navigate through the intricacies of e-commerce development, striving to unlock its full potential on a global scale. "
International Research Journal of Modernization in Engineering Technology and Science, 2024
Manganese disulfide (MnS2), a lowly layered substance with the potential to change the field, ris... more Manganese disulfide (MnS2), a lowly layered substance with the potential to change the field, rises from the shadows driven by the unquenchable need for high-performance and sustainable electronics. Its deceptively common appearance conceals a wealth of extraordinary qualities, including extraordinary electrochemical activity, tunable electrical conductivity, and astonishing pressure sensitivity. These innate abilities create a plethora of opportunities for a wide range of applications, illustrating a bright future for electronics. The ability of MnS2 to store energy is a ray of hope. Its capacity to store more energy, recharge more quickly, and live longer suggests that next-generation batteries and supercapacitors will power our planet without consuming more energy. MnS2's distinctive switching characteristic becomes a dance of electrons in the fascinating world of resistive random-access memory (RRAM), opening up data storage options that are incredibly energy-efficient and quick. Its pressure sensitivity goes beyond simple measurement, making it the designer of extremely precise and responsive sensors. MnS2 listens carefully to everything, from the faint hum of a heartbeat to the faint vibrations of the earth. This enables breakthroughs in environmental sensing, medical monitoring, and even the prosthesis of the future that are sentient. The options appear limitless, much like the levels of MnS2. Imagine self-sufficient cities that thrive in balance with the environment, pulsating with MnS2-powered energy. MnS2 is pointing us in the direction of a future in which sustainability and technology dance together in a dynamic display of innovation. By utilizing MnS2's diverse possibilities, this initiative sets of
Institutions annually witness a significant number of graduating students requiring clearance fro... more Institutions annually witness a significant number of graduating students requiring clearance from various departments, a process traditionally executed through physical visits to different offices. However, this conventional method is marred by inefficiencies including time consumption, staff unavailability, and data management issues. To address these shortcomings, an online clearance system was developed, utilizing modern web technologies. The system, developed with Angular for the frontend and Node.js for the backend, along with MongoDb for database design, revolutionizes the clearance process. Incorporating Angular for the frontend enhances user experience with its dynamic and responsive interface, while Node.js ensures efficient data processing and server-side operations. Evaluation involving 500 students and 60 staff members yielded promising results, with approximately 90.1%, 92.8%, and 95.3% affirming its usability, service delivery convenience, and accessibility, respectively. This research underscores the system's efficacy in facilitating efficient and effective clearance procedures, enhancing the institution's administrative workflow.
International Journal of Innovative Science and Research Technology, 2024
This paper presents a comprehensive guide to developing a mobile expense tracker application usin... more This paper presents a comprehensive guide to developing a mobile expense tracker application using the Flutter framework. The demand for efficient financial management tools has propelled mobile apps to the forefront, catering to individuals and businesses alike. Flutter, with its cross-platform capabilities and rich feature set, provides an ideal framework for building robust and user-friendly expense tracker apps. This guide delves into the entire development process, from setting up the development environment to deploying the app on both Android and iOS platforms. Key components like user interface design, data management, and integration of essential features are meticulously explored, equipping developers with practical insights and best practices for crafting a successful expense tracker app.
In this paper, we propose a novel deep learning approach for predicting stock prices that combine... more In this paper, we propose a novel deep learning approach for predicting stock prices that combines the power of time series analysis and Monte Carlo simulation. Our approach utilizes historical stock data to train a deep learning model that can predict future stock prices with high accuracy. We use Python as our programming language and apply various deep learning techniques such as Long Short-Term Memory (LSTM) networks, Gated Recurrent Units (GRU), and Convolutional Neural Networks (CNN) to extract meaningful patterns from the time series data. To account for the uncertainty and volatility of the stock market, we incorporate Monte Carlo simulation into our approach. By generating multiple scenarios of future stock prices, we can estimate the probability distribution of future stock prices and make more informed investment decisions. We demonstrate the effectiveness of our approach by predicting stock prices for a variety of large and small capitalizations and in different markets, using both daily and up-to-the-minute frequency data. Our results show that deep learning and Monte Carlo simulation can be a powerful tool for predicting stock prices and managing investment risk. By combining these techniques, we can build a robust and efficient system that can adapt to changing market conditions and provide accurate and timely stock price predictions.
In today's digital landscape, e-commerce websites serve as crucial hubs for online businesses, dr... more In today's digital landscape, e-commerce websites serve as crucial hubs for online businesses, driving exponential growth in the realm of internet-based commerce. However, while the prevalence of e-commerce is undeniable, its reach in underdeveloped regions remains limited, leaving ample room for expansion and improvement. This paper delves into the multifaceted process of developing an ecommerce website, addressing key challenges and presenting optimal solutions. The development journey is segmented into two fundamental components: front-end and back-end development, each playing a pivotal role in delivering a seamless user experience. Furthermore, database design is explored in detail, emphasizing the importance of relational connectivity for robust functionality and efficient data management. Join us as we navigate through the intricacies of e-commerce development, striving to unlock its full potential on a global scale.
INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY, 2023
The paper discusses the use of wireless sensors to monitor the blood pressure of elderly or bedri... more The paper discusses the use of wireless sensors to monitor the blood pressure of elderly or bedridden individuals, to improve their care. The sensors transmit the blood pressure readings to a PC for storage and display and notify the appropriate individuals via an app. The current method for obtaining blood pressure values is through a contact-detecting technique, which is inconvenient and uncomfortable for patients. Therefore, the researchers propose a Blood Pressure Monitoring System (BPMS) that can remotely monitor patients' blood pressure. The Raspberry Pi processes the data and displays the blood pressure readings on a graphical user interface. The system is designed to be portable and easy to use, allowing patients to monitor their blood pressure from the comfort of their own homes. The results show that the proposed system is accurate and reliable, making it a promising tool for monitoring blood pressure remotely.
The main focus of this project is to implement the Routing Information Protocol (RIP) for managin... more The main focus of this project is to implement the Routing Information Protocol (RIP) for managing Internet of Things (IoT) devices in different Local Area Networks (LANs). IoT devices are physical objects that are embedded with sensors, software, and other technologies that allow them to connect and exchange data with other devices and systems over the internet or other communication networks. The aim of this project is to help enterprises connect and monitor their IoT devices, secure and automate their operations, and efficiently manage these devices. To achieve this objective, we are going to simulate the monitoring and management of IoT devices in different LANs, including an Accommodation Block, Server Room, Admin Block, and the Academic Block of an organization. We will install IoT devices such as wireless sensors, software, actuators, and computer devices in different locations within the LANs. These devices will be connected using routers to enable communication between them. We will also implement the Routing Information Protocol (RIP) for efficient data packet transfer from one LAN to another. The organization setup will enable us to demonstrate the effectiveness of the RIP protocol in managing IoT devices across different LANs. This project will provide a practical demonstration of the potential benefits of using IoT devices in an enterprise setting, including enhanced monitoring, security, automation, and device management. Overall, the project will contribute to the growing field of IoT technology and its application in enterprise settings.
International Research Journal of Engineering and Technology (IRJET), 2023
The segment will delve into the fundamental principles and mechanics of blockchain technology and... more The segment will delve into the fundamental principles and mechanics of blockchain technology and its impact on the digital marketing process. The discussion will also include the potential benefits of blockchain in enhancing customer engagement, reducing fraud and increasing transparency, and enhancing trust and loyalty between customers and businesses. Additionally, the section will explore the challenges and limitations associated with blockchain implementation in the consumer-centric model and the potential solutions to overcome them. The ultimate goal of this section is to provide readers with a comprehensive understanding of the benefits and limitations of blockchain technology in the consumer-centric model and its potential implications for the future of digital marketing., the paper discusses how blockchain technology can be used as a tool to enhance the consumer-centric model in digital marketing.
Quing: International Journal of Innovative Research in Science and Engineering”, 2023
This paper explores the significant potential of artificial intelligence (AI) in revolutionizing ... more This paper explores the significant potential of artificial intelligence (AI) in revolutionizing the agricultural sector, focusing on improving productivity, efficiency, and sustainability. AI techniques such as machine learning, computer vision, and data analytics can empower farmers and stakeholders with valuable insights for decision-making, optimizing resource allocation, and promoting sustainable practices. This paper provides an overview of AI applications in agriculture, highlights case studies, discusses challenges, and outlines future directions for harnessing the full potential of AI in agriculture.
“Quing: International Journal of Innovative Research in Science and Engineering, 2023
In recent years, quantum computing has emerged as a potentially gamechanging technology, with app... more In recent years, quantum computing has emerged as a potentially gamechanging technology, with applications across various disciplines, including AI and machine learning. In recent years, the combination of quantum computing and neural networks has led to the development of quantum neural networks (QNNs). This paper explores the potential of QNNs and their applications in solving complex problems that are challenging for classical neural networks. This paper explores the fundamental principles of quantum computing, the architecture of QNNs, and their advantages over classical neural networks. Furthermore, this will highlight key research areas and challenges in the development and utilization of QNNs. Through an in-depth analysis, it demonstrates the QNNs hold significant promise for addressing complex computational problems and advancing the field of artificial intelligence.
Quing: International Journal of Innovative Research in Science and Engineering, 2023
Supply chain management plays a vital role in ensuring the efficient flow of goods, services, and... more Supply chain management plays a vital role in ensuring the efficient flow of goods, services, and information from suppliers to end consumers. However, traditional supply chain systems often face challenges related to transparency, traceability, and trust among participants. Blockchain technology has emerged as an innovative and game-changing solution to address these difficulties by providing decentralized and transparent methods of storing records, enhancing traceability, and fostering increased trust. In this paper, we provide a comprehensive review of Blockchain management in supply chain management. We explore the fundamental concepts of Blockchain technology, discuss its potential benefits and challenges in the supply chain context, and examine various applications. Moreover, we present case studies illustrating successful implementations of Blockchain management in supply chain scenarios. We also discuss future research directions and potential areas for improvement in Blockchain based supply chain management.
Quing: International Journal of Innovative Research in Science and Engineering, 2023
This paper explores the concept of cloud database, which leverages the power of cloud computing t... more This paper explores the concept of cloud database, which leverages the power of cloud computing to provide scalable and flexible data management solutions. It discusses the benefits, challenges, and considerations associated with adopting cloud databases, along with various architectural models and deployment options. The chapter also delves into the key features, such as elasticity, high availability, and data security, offered by cloud databases. Furthermore, it examines the role of cloud databases in modern applications, including their integration with other cloud services and their ability to support big data analytics. The chapter concludes by highlighting future trends and advancements in cloud database technologies.
Artificial Intelligence (AI) has the potential to revolutionize healthcare by improving patient o... more Artificial Intelligence (AI) has the potential to revolutionize healthcare by improving patient outcomes, reducing costs, and enhancing efficiency. This paper provides a comprehensive review of the current applications of AI in healthcare, including machine learning, natural language processing, and robotics. The paper also explores the future possibilities of AI in healthcare, such as personalized medicine, disease prediction and prevention, and drug discovery. Furthermore, the paper addresses the ethical and regulatory concerns that arise with the use of AI in healthcare.
Quing: International Journal of Multidisciplinary Scientific Research and Development”, 2023
Recent years have witnessed unprecedented advancements in artificial intelligence (AI) technology... more Recent years have witnessed unprecedented advancements in artificial intelligence (AI) technology, reshaping industries, economies, and daily interactions. This paper delves into the forefront of AI innovations, exploring the transformative impact of recent developments across various sectors. Key AI technologies, including deep learning, natural language processing, and generative adversarial networks, have propelled AI applications to new heights. These advancements have revolutionized healthcare with accurate diagnoses, empowered finance with predictive analytics, and enabled autonomous systems to navigate the world. However, the rapid evolution of AI also raises ethical and social considerations. Addressing bias, ensuring data privacy, and navigating the delicate balance between automation and job displacement are critical challenges. As we look ahead, emerging trends such as explainable AI, federated learning, and the integration of AI at the edge present exciting prospects. Quantum computing, too, stands poised to reshape the landscape of AI algorithms and capabilities. Despite these remarkable strides, challenges persist. The quest for generalized AI models continues, while data quality and domain adaptability remain concerns. Regulatory efforts and collaborative initiatives are shaping the ethical and policy dimensions of AI, aligning technology with societal values. This paper presents a comprehensive exploration of recent AI advancements, offering insights into their applications, implications, and potential trajectories. By examining both the opportunities and challenges, we underscore the need for responsible AI development to harness its transformative potential while safeguarding ethical considerations.
International Journal of Science and Research (IJSR), 2024
In today's digital landscape, e-commerce websites serve as crucial hubs for online businesses, dr... more In today's digital landscape, e-commerce websites serve as crucial hubs for online businesses, driving exponential growth in the realm of internet-based commerce. However, while the prevalence of e-commerce is undeniable, its reach in underdeveloped regions remains limited, leaving ample room for expansion and improvement. This paper delves into the multifaceted process of developing an e-commerce website, addressing key challenges and presenting optimal solutions. The development journey is segmented into two fundamental components: front-end and back-end development, each playing a pivotal role in delivering a seamless user experience. Furthermore, database design is explored in detail, emphasizing the importance of relational connectivity for robust functionality and efficient data management. Join us as we navigate through the intricacies of e-commerce development, striving to unlock its full potential on a global scale. "
International Research Journal of Modernization in Engineering Technology and Science, 2024
Manganese disulfide (MnS2), a lowly layered substance with the potential to change the field, ris... more Manganese disulfide (MnS2), a lowly layered substance with the potential to change the field, rises from the shadows driven by the unquenchable need for high-performance and sustainable electronics. Its deceptively common appearance conceals a wealth of extraordinary qualities, including extraordinary electrochemical activity, tunable electrical conductivity, and astonishing pressure sensitivity. These innate abilities create a plethora of opportunities for a wide range of applications, illustrating a bright future for electronics. The ability of MnS2 to store energy is a ray of hope. Its capacity to store more energy, recharge more quickly, and live longer suggests that next-generation batteries and supercapacitors will power our planet without consuming more energy. MnS2's distinctive switching characteristic becomes a dance of electrons in the fascinating world of resistive random-access memory (RRAM), opening up data storage options that are incredibly energy-efficient and quick. Its pressure sensitivity goes beyond simple measurement, making it the designer of extremely precise and responsive sensors. MnS2 listens carefully to everything, from the faint hum of a heartbeat to the faint vibrations of the earth. This enables breakthroughs in environmental sensing, medical monitoring, and even the prosthesis of the future that are sentient. The options appear limitless, much like the levels of MnS2. Imagine self-sufficient cities that thrive in balance with the environment, pulsating with MnS2-powered energy. MnS2 is pointing us in the direction of a future in which sustainability and technology dance together in a dynamic display of innovation. By utilizing MnS2's diverse possibilities, this initiative sets of
Institutions annually witness a significant number of graduating students requiring clearance fro... more Institutions annually witness a significant number of graduating students requiring clearance from various departments, a process traditionally executed through physical visits to different offices. However, this conventional method is marred by inefficiencies including time consumption, staff unavailability, and data management issues. To address these shortcomings, an online clearance system was developed, utilizing modern web technologies. The system, developed with Angular for the frontend and Node.js for the backend, along with MongoDb for database design, revolutionizes the clearance process. Incorporating Angular for the frontend enhances user experience with its dynamic and responsive interface, while Node.js ensures efficient data processing and server-side operations. Evaluation involving 500 students and 60 staff members yielded promising results, with approximately 90.1%, 92.8%, and 95.3% affirming its usability, service delivery convenience, and accessibility, respectively. This research underscores the system's efficacy in facilitating efficient and effective clearance procedures, enhancing the institution's administrative workflow.
International Journal of Innovative Science and Research Technology, 2024
This paper presents a comprehensive guide to developing a mobile expense tracker application usin... more This paper presents a comprehensive guide to developing a mobile expense tracker application using the Flutter framework. The demand for efficient financial management tools has propelled mobile apps to the forefront, catering to individuals and businesses alike. Flutter, with its cross-platform capabilities and rich feature set, provides an ideal framework for building robust and user-friendly expense tracker apps. This guide delves into the entire development process, from setting up the development environment to deploying the app on both Android and iOS platforms. Key components like user interface design, data management, and integration of essential features are meticulously explored, equipping developers with practical insights and best practices for crafting a successful expense tracker app.
In this paper, we propose a novel deep learning approach for predicting stock prices that combine... more In this paper, we propose a novel deep learning approach for predicting stock prices that combines the power of time series analysis and Monte Carlo simulation. Our approach utilizes historical stock data to train a deep learning model that can predict future stock prices with high accuracy. We use Python as our programming language and apply various deep learning techniques such as Long Short-Term Memory (LSTM) networks, Gated Recurrent Units (GRU), and Convolutional Neural Networks (CNN) to extract meaningful patterns from the time series data. To account for the uncertainty and volatility of the stock market, we incorporate Monte Carlo simulation into our approach. By generating multiple scenarios of future stock prices, we can estimate the probability distribution of future stock prices and make more informed investment decisions. We demonstrate the effectiveness of our approach by predicting stock prices for a variety of large and small capitalizations and in different markets, using both daily and up-to-the-minute frequency data. Our results show that deep learning and Monte Carlo simulation can be a powerful tool for predicting stock prices and managing investment risk. By combining these techniques, we can build a robust and efficient system that can adapt to changing market conditions and provide accurate and timely stock price predictions.
In today's digital landscape, e-commerce websites serve as crucial hubs for online businesses, dr... more In today's digital landscape, e-commerce websites serve as crucial hubs for online businesses, driving exponential growth in the realm of internet-based commerce. However, while the prevalence of e-commerce is undeniable, its reach in underdeveloped regions remains limited, leaving ample room for expansion and improvement. This paper delves into the multifaceted process of developing an ecommerce website, addressing key challenges and presenting optimal solutions. The development journey is segmented into two fundamental components: front-end and back-end development, each playing a pivotal role in delivering a seamless user experience. Furthermore, database design is explored in detail, emphasizing the importance of relational connectivity for robust functionality and efficient data management. Join us as we navigate through the intricacies of e-commerce development, striving to unlock its full potential on a global scale.
INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY, 2023
The paper discusses the use of wireless sensors to monitor the blood pressure of elderly or bedri... more The paper discusses the use of wireless sensors to monitor the blood pressure of elderly or bedridden individuals, to improve their care. The sensors transmit the blood pressure readings to a PC for storage and display and notify the appropriate individuals via an app. The current method for obtaining blood pressure values is through a contact-detecting technique, which is inconvenient and uncomfortable for patients. Therefore, the researchers propose a Blood Pressure Monitoring System (BPMS) that can remotely monitor patients' blood pressure. The Raspberry Pi processes the data and displays the blood pressure readings on a graphical user interface. The system is designed to be portable and easy to use, allowing patients to monitor their blood pressure from the comfort of their own homes. The results show that the proposed system is accurate and reliable, making it a promising tool for monitoring blood pressure remotely.
The main focus of this project is to implement the Routing Information Protocol (RIP) for managin... more The main focus of this project is to implement the Routing Information Protocol (RIP) for managing Internet of Things (IoT) devices in different Local Area Networks (LANs). IoT devices are physical objects that are embedded with sensors, software, and other technologies that allow them to connect and exchange data with other devices and systems over the internet or other communication networks. The aim of this project is to help enterprises connect and monitor their IoT devices, secure and automate their operations, and efficiently manage these devices. To achieve this objective, we are going to simulate the monitoring and management of IoT devices in different LANs, including an Accommodation Block, Server Room, Admin Block, and the Academic Block of an organization. We will install IoT devices such as wireless sensors, software, actuators, and computer devices in different locations within the LANs. These devices will be connected using routers to enable communication between them. We will also implement the Routing Information Protocol (RIP) for efficient data packet transfer from one LAN to another. The organization setup will enable us to demonstrate the effectiveness of the RIP protocol in managing IoT devices across different LANs. This project will provide a practical demonstration of the potential benefits of using IoT devices in an enterprise setting, including enhanced monitoring, security, automation, and device management. Overall, the project will contribute to the growing field of IoT technology and its application in enterprise settings.
International Research Journal of Engineering and Technology (IRJET), 2023
The segment will delve into the fundamental principles and mechanics of blockchain technology and... more The segment will delve into the fundamental principles and mechanics of blockchain technology and its impact on the digital marketing process. The discussion will also include the potential benefits of blockchain in enhancing customer engagement, reducing fraud and increasing transparency, and enhancing trust and loyalty between customers and businesses. Additionally, the section will explore the challenges and limitations associated with blockchain implementation in the consumer-centric model and the potential solutions to overcome them. The ultimate goal of this section is to provide readers with a comprehensive understanding of the benefits and limitations of blockchain technology in the consumer-centric model and its potential implications for the future of digital marketing., the paper discusses how blockchain technology can be used as a tool to enhance the consumer-centric model in digital marketing.
Quing: International Journal of Innovative Research in Science and Engineering”, 2023
This paper explores the significant potential of artificial intelligence (AI) in revolutionizing ... more This paper explores the significant potential of artificial intelligence (AI) in revolutionizing the agricultural sector, focusing on improving productivity, efficiency, and sustainability. AI techniques such as machine learning, computer vision, and data analytics can empower farmers and stakeholders with valuable insights for decision-making, optimizing resource allocation, and promoting sustainable practices. This paper provides an overview of AI applications in agriculture, highlights case studies, discusses challenges, and outlines future directions for harnessing the full potential of AI in agriculture.
“Quing: International Journal of Innovative Research in Science and Engineering, 2023
In recent years, quantum computing has emerged as a potentially gamechanging technology, with app... more In recent years, quantum computing has emerged as a potentially gamechanging technology, with applications across various disciplines, including AI and machine learning. In recent years, the combination of quantum computing and neural networks has led to the development of quantum neural networks (QNNs). This paper explores the potential of QNNs and their applications in solving complex problems that are challenging for classical neural networks. This paper explores the fundamental principles of quantum computing, the architecture of QNNs, and their advantages over classical neural networks. Furthermore, this will highlight key research areas and challenges in the development and utilization of QNNs. Through an in-depth analysis, it demonstrates the QNNs hold significant promise for addressing complex computational problems and advancing the field of artificial intelligence.
Quing: International Journal of Innovative Research in Science and Engineering, 2023
Supply chain management plays a vital role in ensuring the efficient flow of goods, services, and... more Supply chain management plays a vital role in ensuring the efficient flow of goods, services, and information from suppliers to end consumers. However, traditional supply chain systems often face challenges related to transparency, traceability, and trust among participants. Blockchain technology has emerged as an innovative and game-changing solution to address these difficulties by providing decentralized and transparent methods of storing records, enhancing traceability, and fostering increased trust. In this paper, we provide a comprehensive review of Blockchain management in supply chain management. We explore the fundamental concepts of Blockchain technology, discuss its potential benefits and challenges in the supply chain context, and examine various applications. Moreover, we present case studies illustrating successful implementations of Blockchain management in supply chain scenarios. We also discuss future research directions and potential areas for improvement in Blockchain based supply chain management.
Quing: International Journal of Innovative Research in Science and Engineering, 2023
This paper explores the concept of cloud database, which leverages the power of cloud computing t... more This paper explores the concept of cloud database, which leverages the power of cloud computing to provide scalable and flexible data management solutions. It discusses the benefits, challenges, and considerations associated with adopting cloud databases, along with various architectural models and deployment options. The chapter also delves into the key features, such as elasticity, high availability, and data security, offered by cloud databases. Furthermore, it examines the role of cloud databases in modern applications, including their integration with other cloud services and their ability to support big data analytics. The chapter concludes by highlighting future trends and advancements in cloud database technologies.
Artificial Intelligence (AI) has the potential to revolutionize healthcare by improving patient o... more Artificial Intelligence (AI) has the potential to revolutionize healthcare by improving patient outcomes, reducing costs, and enhancing efficiency. This paper provides a comprehensive review of the current applications of AI in healthcare, including machine learning, natural language processing, and robotics. The paper also explores the future possibilities of AI in healthcare, such as personalized medicine, disease prediction and prevention, and drug discovery. Furthermore, the paper addresses the ethical and regulatory concerns that arise with the use of AI in healthcare.
Quing: International Journal of Multidisciplinary Scientific Research and Development”, 2023
Recent years have witnessed unprecedented advancements in artificial intelligence (AI) technology... more Recent years have witnessed unprecedented advancements in artificial intelligence (AI) technology, reshaping industries, economies, and daily interactions. This paper delves into the forefront of AI innovations, exploring the transformative impact of recent developments across various sectors. Key AI technologies, including deep learning, natural language processing, and generative adversarial networks, have propelled AI applications to new heights. These advancements have revolutionized healthcare with accurate diagnoses, empowered finance with predictive analytics, and enabled autonomous systems to navigate the world. However, the rapid evolution of AI also raises ethical and social considerations. Addressing bias, ensuring data privacy, and navigating the delicate balance between automation and job displacement are critical challenges. As we look ahead, emerging trends such as explainable AI, federated learning, and the integration of AI at the edge present exciting prospects. Quantum computing, too, stands poised to reshape the landscape of AI algorithms and capabilities. Despite these remarkable strides, challenges persist. The quest for generalized AI models continues, while data quality and domain adaptability remain concerns. Regulatory efforts and collaborative initiatives are shaping the ethical and policy dimensions of AI, aligning technology with societal values. This paper presents a comprehensive exploration of recent AI advancements, offering insights into their applications, implications, and potential trajectories. By examining both the opportunities and challenges, we underscore the need for responsible AI development to harness its transformative potential while safeguarding ethical considerations.
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Papers by Dr. K A R U N A M U R T H Y . A
AI and machine learning. In recent years, the combination of quantum
computing and neural networks has led to the development of quantum
neural networks (QNNs). This paper explores the potential of QNNs and
their applications in solving complex problems that are challenging for
classical neural networks. This paper explores the fundamental principles of
quantum computing, the architecture of QNNs, and their advantages over
classical neural networks. Furthermore, this will highlight key research
areas and challenges in the development and utilization of QNNs. Through
an in-depth analysis, it demonstrates the QNNs hold significant promise for
addressing complex computational problems and advancing the field of
artificial intelligence.
AI and machine learning. In recent years, the combination of quantum
computing and neural networks has led to the development of quantum
neural networks (QNNs). This paper explores the potential of QNNs and
their applications in solving complex problems that are challenging for
classical neural networks. This paper explores the fundamental principles of
quantum computing, the architecture of QNNs, and their advantages over
classical neural networks. Furthermore, this will highlight key research
areas and challenges in the development and utilization of QNNs. Through
an in-depth analysis, it demonstrates the QNNs hold significant promise for
addressing complex computational problems and advancing the field of
artificial intelligence.