This book features selected high-quality papers from the second International Conference on Mobile Radio communications and 5G Networks (MRCN 2021), held at University Institute of engineering and Technology, Kurukshe...
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ISBN:
(数字)9789811670183
ISBN:
(纸本)9789811670176
This book features selected high-quality papers from the second International Conference on Mobile Radio communications and 5G Networks (MRCN 2021), held at University Institute of engineering and Technology, Kurukshetra University, Kurukshetra, India, during 10–12 June 2021. The book features original papers by active researchers presented at the International Conference on Mobile Radio communications and 5G Networks. It includes recent advances and upcoming technologies in the field of cellular systems, 2G/2.5G/3G/4G/5G and beyond, LTE, WiMAX, WMAN, and other emerging broadband wireless networks, WLAN, WPAN, and various home/personal networking technologies, pervasive and wearable computing and networking, small cells and femtocell networks, wireless mesh networks, vehicular wireless networks, cognitive radio networks and their applications, wireless multimedia networks, green wireless networks, standardization of emerging wireless technologies, power management and energy conservation techniques.
E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagno...
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ISBN:
(数字)9783031016097
ISBN:
(纸本)9783031004810
E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and techniques providing more intuitive interaction in a networked medical environment. The book also discusses networked clinical decision support systems and corresponding medical standards, WWW-based applications, medical collaborative platforms, wireless networking, and the concepts of ambient intelligence and pervasive computing in electronic healthcare systems.
This study devotes to improve the prediction accuracy of prediction algorithms in recommender systems which one is collaborative filtering algorithm to estimate user's preference to items transacted on the web. Fr...
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ISBN:
(纸本)9788988678183
This study devotes to improve the prediction accuracy of prediction algorithms in recommender systems which one is collaborative filtering algorithm to estimate user's preference to items transacted on the web. From the our experiment, data scarcity problem is critical factor for decreasing prediction accuracy so the method for reducing data scarcity is meaningful way to increase prediction accuracy and also techniques for improving prediction accuracy like as the significant weight must be applied to the prediction process. This study proposes substitution methods like as the means of modes of users and items are effective and economical ways to reduce data scarcity better than other complicate substitution methods and can get even more accurate result than original result.
The proliferation of fake news poses a substantial threat to information integrity, prompting the need for robust detection mechanisms. This study advances the research on Arabic fake news detection and overcomes the ...
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The proliferation of fake news poses a substantial threat to information integrity, prompting the need for robust detection mechanisms. This study advances the research on Arabic fake news detection and overcomes the limitation of lower accuracy for fake news detection. This research addresses Arabic fake news detection using word embedding and a powerful stacking classifier. The proposed model combines bagging, boosting, and baseline classifiers, harnessing the strengths of each to create a robust ensemble. Extensive experiments are carried out to evaluate the proposed approach indicating remarkable results, with recall, F1 score, accuracy, and precision reaching 99%. The utilization of advanced stacking techniques, coupled with appropriate textual feature extraction, empowers the model to effectively detect Arabic fake news. Study results make a valuable contribution to fake news detection, particularly in the Arabic context, providing a valuable tool for enhancing information veracity and fostering a more informed public discourse. Furthermore, the proposed model’s accuracy is compared with other cutting-edge models from the existing literature to showcase its superior performance.
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