In the field of drug safety, causality assessment aims to determine the level of plausibility of ... more In the field of drug safety, causality assessment aims to determine the level of plausibility of the relationship between an adverse event and exposure to a particular product. It is after the causality assessment process that we will be able to point out a product adverse reaction. While regulators often require pharmaceutical companies to use a structured approach for assessing the causality of their products, the available methods are challenged by a number of procedural differences, even when drawing from the same domain of elements. To mitigate these inconsistencies, as well as the additional challenges associated with incomplete information and differences in the application of clinical judgments at the individual case level, this paper proposes a holistic framework for causality assessment that utilizes a combination of expert judgment/global introspection, evidence-based medicine, and probabilistic method. The goal of the presented approach is to provide a guide of clues to ...
According to the World Health Organization, heart disease is the biggest cause of death worldwide... more According to the World Health Organization, heart disease is the biggest cause of death worldwide. It may be possible to bring down the overall death rate of individuals if cardiovascular disease can be detected in its earlier stages. If the cardiac disease is detected at an earlier stage, there is a greater possibility that it may be successfully treated and managed under the guidance of a physician. Recent advances in areas such as the Internet of Things, cloud storage, and machine learning have given rise to renewed optimism over the capacity of technology to bring about a paradigm change on a global scale. At the bedside, the use of sensors to capture vital signs has grown increasingly commonplace in recent years. Patients are manually monitored using a monitor located at the patient’s bedside; there is no automatic data processing taking place. These results, which came from an investigation of cardiovascular disease carried out across a large number of hospitals, have been used in the development of a protocol for the early, automated, and intelligent identification of heart disorders. The PASCAL data set is prepared by collecting data from different hospitals using the digital stethoscope. This data set is publicly available, and it is used by many researchers around the world in experimental work. The proposed strategy for doing research includes three steps. The first stage is known as the data collection phase, the data is collected using biosensors and IoT devices through wireless sensor networks. In the second step, all of the information pertaining to healthcare is uploaded to the cloud so that it may be analyzed. The last step in the process is training the model using data taken from already-existing medical records. Deep learning strategies are used in order to classify the sound that is produced by the heart. The deep CNN algorithm is used for sound feature extraction and classification. The PASCAL data set is essential to the functioning of the experimental environment. The deep CNN model is performing most accurately.
This research includes an integrated network management architecture that can simultaneously mana... more This research includes an integrated network management architecture that can simultaneously manage both LANs (Local Area Network) and WANs (Wide Area Network) with either a standard or proprietary network management. The features of the proposed architecture are ...
International Journal of Advanced Trends in Computer Science and Engineering, 2021
The global development and progress in scientific paraphernalia and technology is the fundamental... more The global development and progress in scientific paraphernalia and technology is the fundamental reason for the rapid increasein the data volume. Several significant techniques have been introducedfor image processing and object detection owing to this advancement. The promising features and transfer learning of ConvolutionalNeural Network (CNN) havegained much attention around the globe by researchers as well as computer vision society, as a result of which, several remarkable breakthroughs were achieved. This paper comprehensively reviews the data classification, history as well as architecture of CNN and well-known techniques bytheir boons and absurdities. Finally, a discussion for implementation of CNN over object detection for effectual results based on their critical analysis and performances is presented
Proceedings of the 7th International Conference on Software Engineering and New Technologies, 2018
The fog computing-based radio access networks work at the same time as capable worldview commenci... more The fog computing-based radio access networks work at the same time as capable worldview commencing to 5G remote transmitting framework give elevated unearthly along with vitality effectiveness. In center thought obtain complete points to interest of neighborhood radio flag preparing, consistent on radio asset administration and disseminated putting away abilities in edge gadgets, which can diminish the substantial weight on front haul. In light of fog computing, the cooperation radio flag handling (CRSP) cannot exclusively accomplish during the unified baseband unit into cloud radio access networks. Unfasten concern into the condition of software defined networking, network function virtualization and edge caching recognized. This paper attempts to minimize the security issues in the performance of edge cashing by using Markov chain model. Simulation results are able to reduce the bandwidth consumption of F_RAN through edge caching in between remote radio heads and user equipment's.
Proceedings of the 7th International Conference on Software Engineering and New Technologies, 2018
Success and failure of Software depend upon the quality of a software selection of an appropriate... more Success and failure of Software depend upon the quality of a software selection of an appropriate model for development of the product. In previous research many techniques were used to check the quality of software. But it is still a challenge for developers to select which technique may be best suited for quality of software. Quality attribute requirements such as those for performance, security, modifiability, reliability, and usability have a considerable influence on the software architecture of a system. Architects need to understand their designs in terms of quality attributes. Software quality assurance (SQA) consists of a means of monitoring the software engineering processes and methods used to ensure quality. The methods by which this is accomplished are varied and may include ensuring conformance to one or more standards. Both manual and automated testing offer benefits and disadvantages. In manual testing (as the name suggests), test cases are executed manually (by a human, that is) without any support from tools or scripts. But with automated testing, test cases are executed with the assistance of tools, scripts, and software.
In this research, WiMAX and WiFi on Vehicular Ad-hoc Networks (VANET) is examined which are used ... more In this research, WiMAX and WiFi on Vehicular Ad-hoc Networks (VANET) is examined which are used to evaluate the best service provider technology for VANET. In VANET the nodes are moving very fast and change their network infrastructure rapidly, which have very short time to communicate with each other. Both WiMAX and WiFi is be used as per their features in the long distances areas and then their practice in real model. The focus of our research is to reduce the delay time of message passing, authentication and to find the best suitable and qualitative service from WiMAX and WiFi. This is necessary to ensure safe journey with the collaborative efforts of vehicles as well as the road-side base stations. Through this research, the comparison in the performance evaluation of both WiMAX and WiFi in VANET is conducted.
In the field of drug safety, causality assessment aims to determine the level of plausibility of ... more In the field of drug safety, causality assessment aims to determine the level of plausibility of the relationship between an adverse event and exposure to a particular product. It is after the causality assessment process that we will be able to point out a product adverse reaction. While regulators often require pharmaceutical companies to use a structured approach for assessing the causality of their products, the available methods are challenged by a number of procedural differences, even when drawing from the same domain of elements. To mitigate these inconsistencies, as well as the additional challenges associated with incomplete information and differences in the application of clinical judgments at the individual case level, this paper proposes a holistic framework for causality assessment that utilizes a combination of expert judgment/global introspection, evidence-based medicine, and probabilistic method. The goal of the presented approach is to provide a guide of clues to ...
According to the World Health Organization, heart disease is the biggest cause of death worldwide... more According to the World Health Organization, heart disease is the biggest cause of death worldwide. It may be possible to bring down the overall death rate of individuals if cardiovascular disease can be detected in its earlier stages. If the cardiac disease is detected at an earlier stage, there is a greater possibility that it may be successfully treated and managed under the guidance of a physician. Recent advances in areas such as the Internet of Things, cloud storage, and machine learning have given rise to renewed optimism over the capacity of technology to bring about a paradigm change on a global scale. At the bedside, the use of sensors to capture vital signs has grown increasingly commonplace in recent years. Patients are manually monitored using a monitor located at the patient’s bedside; there is no automatic data processing taking place. These results, which came from an investigation of cardiovascular disease carried out across a large number of hospitals, have been used in the development of a protocol for the early, automated, and intelligent identification of heart disorders. The PASCAL data set is prepared by collecting data from different hospitals using the digital stethoscope. This data set is publicly available, and it is used by many researchers around the world in experimental work. The proposed strategy for doing research includes three steps. The first stage is known as the data collection phase, the data is collected using biosensors and IoT devices through wireless sensor networks. In the second step, all of the information pertaining to healthcare is uploaded to the cloud so that it may be analyzed. The last step in the process is training the model using data taken from already-existing medical records. Deep learning strategies are used in order to classify the sound that is produced by the heart. The deep CNN algorithm is used for sound feature extraction and classification. The PASCAL data set is essential to the functioning of the experimental environment. The deep CNN model is performing most accurately.
This research includes an integrated network management architecture that can simultaneously mana... more This research includes an integrated network management architecture that can simultaneously manage both LANs (Local Area Network) and WANs (Wide Area Network) with either a standard or proprietary network management. The features of the proposed architecture are ...
International Journal of Advanced Trends in Computer Science and Engineering, 2021
The global development and progress in scientific paraphernalia and technology is the fundamental... more The global development and progress in scientific paraphernalia and technology is the fundamental reason for the rapid increasein the data volume. Several significant techniques have been introducedfor image processing and object detection owing to this advancement. The promising features and transfer learning of ConvolutionalNeural Network (CNN) havegained much attention around the globe by researchers as well as computer vision society, as a result of which, several remarkable breakthroughs were achieved. This paper comprehensively reviews the data classification, history as well as architecture of CNN and well-known techniques bytheir boons and absurdities. Finally, a discussion for implementation of CNN over object detection for effectual results based on their critical analysis and performances is presented
Proceedings of the 7th International Conference on Software Engineering and New Technologies, 2018
The fog computing-based radio access networks work at the same time as capable worldview commenci... more The fog computing-based radio access networks work at the same time as capable worldview commencing to 5G remote transmitting framework give elevated unearthly along with vitality effectiveness. In center thought obtain complete points to interest of neighborhood radio flag preparing, consistent on radio asset administration and disseminated putting away abilities in edge gadgets, which can diminish the substantial weight on front haul. In light of fog computing, the cooperation radio flag handling (CRSP) cannot exclusively accomplish during the unified baseband unit into cloud radio access networks. Unfasten concern into the condition of software defined networking, network function virtualization and edge caching recognized. This paper attempts to minimize the security issues in the performance of edge cashing by using Markov chain model. Simulation results are able to reduce the bandwidth consumption of F_RAN through edge caching in between remote radio heads and user equipment's.
Proceedings of the 7th International Conference on Software Engineering and New Technologies, 2018
Success and failure of Software depend upon the quality of a software selection of an appropriate... more Success and failure of Software depend upon the quality of a software selection of an appropriate model for development of the product. In previous research many techniques were used to check the quality of software. But it is still a challenge for developers to select which technique may be best suited for quality of software. Quality attribute requirements such as those for performance, security, modifiability, reliability, and usability have a considerable influence on the software architecture of a system. Architects need to understand their designs in terms of quality attributes. Software quality assurance (SQA) consists of a means of monitoring the software engineering processes and methods used to ensure quality. The methods by which this is accomplished are varied and may include ensuring conformance to one or more standards. Both manual and automated testing offer benefits and disadvantages. In manual testing (as the name suggests), test cases are executed manually (by a human, that is) without any support from tools or scripts. But with automated testing, test cases are executed with the assistance of tools, scripts, and software.
In this research, WiMAX and WiFi on Vehicular Ad-hoc Networks (VANET) is examined which are used ... more In this research, WiMAX and WiFi on Vehicular Ad-hoc Networks (VANET) is examined which are used to evaluate the best service provider technology for VANET. In VANET the nodes are moving very fast and change their network infrastructure rapidly, which have very short time to communicate with each other. Both WiMAX and WiFi is be used as per their features in the long distances areas and then their practice in real model. The focus of our research is to reduce the delay time of message passing, authentication and to find the best suitable and qualitative service from WiMAX and WiFi. This is necessary to ensure safe journey with the collaborative efforts of vehicles as well as the road-side base stations. Through this research, the comparison in the performance evaluation of both WiMAX and WiFi in VANET is conducted.
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Papers by Salman Afsar