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Article
Metabolomics in Depression: What We Learn from Preclinical and Clinical Evidences
Depression is one of the predominant common mental illnesses that affects millions of people of all ages worldwide. Random mood changes, loss of interest in routine activities, and prevalent unpleasant senses ...
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Article
Correction: Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions
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Article
Developing Hybrid Deep Learning Models for Stock Price Prediction Using Enhanced Twitter Sentiment Score and Technical Indicators
In recent years, there has been growing interest in using deep learning methods to improve the accuracy of stock price prediction, which has always been challenging due to the unpredictable nature of the marke...
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Article
Cross-lingual deep learning model for gender-based emotion detection
In real-world applications, speech recognition is becoming increasingly popular. Human emotion and automatic gender recognition, which aims to identify male and female voices from any available emotional speec...
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Article
Insights on discovery, efficacy, safety and clinical applications of ghrelin receptor agonist capromorelin in veterinary medicine
Growth hormone and insulin like growth factor-1 plays an important role in the regulation of body composition and metabolism. Growth Hormone is released from the pituitary through a specific G-protein coupled ...
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Article
Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions
This research proposes a novel method for enhancing the accuracy of stock price prediction by combining ensemble empirical mode decomposition (EEMD), ensemble convolutional neural network (CNN), and X (Twitter...
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Article
Exploring explainable AI methods for bird sound-based species recognition systems
To recognize birds based on their calls, it would be helpful to have access to a machine-learning system. Researchers use machine learning and artificial intelligence (AI) algorithms to identify and differenti...
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Article
A study on boundary detection in wireless sensor networks
In wireless sensor networks (WSN), a group of sensor nodes are distributed to oversee an area round the clock so that in case of an unnatural event, like forest fire, earth quake, air pollution, oil spill, etc...
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Article
OlaRout: Optimal dropbox deployment based cluster routing for post disaster information exchange in a smart city
With the recent endeavour of smart city mission, it is being planned to install sophisticated infrastructure for providing various smart services. But the planning to handle unwanted events like disaster has n...
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Article
ReliefChain: A blockchain leveraged post disaster relief allocation system over smartphone-based DTN
One of the major concerns in any emergency relief operation is appropriate allocation of scarce emergency relief materials to the affected community. Due to several reasons ranging from lack of mechanism to ac...
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Article
Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak
Forecasting the stock market is one of the most difficult undertakings in the financial industry due to its complex, volatile, noisy, and nonparametric character. However, as computer science advances, an inte...
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Article
Fundamentals, present and future perspectives of speech enhancement
Speech enhancement has substantial interest in the utilization of speaker identification, video-conference, speech transmission through communication channels, speech-based biometric system, mobile phones, hea...
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Chapter and Conference Paper
A Realistic Sensing Model for Event Area Estimation in Wireless Sensor Networks
A lot of research works have been reported so far for event area localization and estimation in self-organized wireless sensor networks deployed to monitor a region round the clock. In most of the works, it ha...
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Chapter and Conference Paper
A Comparative Study for Analysis and Prediction of Stock Market Movement
Stock Market Movement analysis and prediction is a very complex and challenging task due to its dynamic and chaotic nature. Stock Market Portfolio Management is an important area of concern today for a number ...
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Chapter and Conference Paper
Pre-emptive Spectrum Access in Cognitive Radio for Better QoS
Cognitive radio techniques are becoming very popular to overcome the spectrum scarcity. For dynamic channel access, spectrum latency is a major bottleneck to achieve good QoS. In this paper, we have proposed d...
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Chapter and Conference Paper
Anti-eavesdropping Proportional Fairness Access Control for 5G Networks
Due to the open access nature, communication over unlicensed band, suffers from security threats like eavesdropping. Eavesdroppers are unwanted nodes, attempting to overhear the signal transmitted between two ...
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Article
Cooperative Spectrum Mobility in Heterogeneous Opportunistic Networks for IoT
With the advent of smarter technologies in LTE, often the bands used for lower technologies remain unoccupied in cellular networks (CN). To utilize those, in this paper, a new paradigm of cognitive radio has been...
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Chapter and Conference Paper
Effect of Demonetization on Stock Market Co-rrelated with Geo-Twitter Sentiment Analysis
In this modern age, social media platforms like Twitter plays a crucial role of sharing public opinions about any ongoing events in the form of sentiment, which may have direct impact on Stock Market movement....
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Chapter and Conference Paper
NoSQL Overview and Performance Testing of HBase Over Multiple Nodes with MySQL
The escalating amount of web-based applications in the fields of social networks, media, biology, physics, and the Internet of things are continuously generating large volume of data or Bigdata in terabytes, p...
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Chapter and Conference Paper
Irregular-Shaped Event Boundary Estimation in Wireless Sensor Networks
In a wireless sensor network (WSN), sensor nodes are deployed to monitor a region. When an event occurs, it is important to detect and estimate the boundary of the affected area and to gather the information t...