• Recent Advances in Variational Autoencoders With Representation Learning for Biomedical Informatics: A Survey 

  Wei, Ruoqi; Mahmood, Ausif (IEEE, 2020-12-31)

  Variational autoencoders (VAEs) are deep latent space generative models that have been immensely successful in multiple exciting applications in biomedical informatics such as molecular design, protein design, medical image ...
• Multiclass ECG Signal Analysis Using Global Average-Based 2-D Convolutional Neural Network Modeling 

  Wasimuddin, Muhammad; Elleithy, Khaled M.; Abuzneid, Abdelshakour; Faezipour, Miad; Abuzaghleh, Omar (MDPI, 2021-01-14)

  Cardiovascular diseases have been reported to be the leading cause of mortality across the globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of main interest among researchers, as its ...
• Analysis of Volatility Volume and Open Interest for Nifty Index Futures Using GARCH Analysis and VAR Model 

  Dungore, Parizad P.; Patel, Sarosh H. (MDPI, 2021-01-14)

  The generalized autoregressive conditional heteroscedastic model (GARCH) is used to estimate volatility for Nifty Index futures on day trades. The purpose is to find out if a contemporaneous or causal relation exists between ...
• CMOS Image Sensors in Surveillance System Applications 

  Babu Sukhavasi, Susrutha; Babu Sukhavasi, Suparshya; Elleithy, Khaled M.; Abuzneid, Shakour; Elleithy, Abdelrahman (MDPI, 2021-01-12)

  Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, ...
• PID++: A Computationally Lightweight Humanoid Motion Control Algorithm 

  Arciuolo, Thomas; Faezipour, Miad (MDPI, 2021-01-11)

  Currently robotic motion control algorithms are tedious at best to implement, are lacking in automatic situational adaptability, and tend to be static in nature. Humanoid (human-like) control is little more than a dream, ...
• Digit Recognition Based on Specialization, Decomposition and Holistic Processing 

  Joseph, Michael; Elleithy, Khaled M. (MDPI, 2020-08-18)

  With the introduction of the Convolutional Neural Network (CNN) and other classical algorithms, facial and object recognition have made significant progress. However, in a situation where there are few label examples or ...
• Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain 

  Tozanli, Ozden; Kongar, Elif; Gupta, Surendra M. (MDPI, 2020-07-04)

  Manufacturing and supply chain operations are on the cusp of an era with the emergence of groundbreaking technologies. Among these, the digital twin technology is characterized as a paradigm shift in managing production ...
• Smartphone-Based Self-Testing of COVID-19 Using Breathing Sounds 

  Faezipour, Miad; Abuzneid, Abdelshakour (Mary Ann Liebert, Inc., 2020-10-01)

  Telemedicine could be a key to control the world-wide disruptive and spreading novel coronavirus disease (COVID-19) pandemic. The COVID-19 virus directly targets the lungs, leading to pneumonia-like symptoms and shortness ...
• Enhanced Deep Learning Architectures for Face Liveness Detection for Static and Video Sequences 

  Koshy, Ranjana; Mahmood, Ausif (MDPI, 2020-10-21)

  Face liveness detection is a critical preprocessing step in face recognition for avoiding face spoofing attacks, where an impostor can impersonate a valid user for authentication. While considerable research has been ...
• Energy Consumption Prediction for 3-RRR PPM through Combining LSTM Neural Network with Whale Optimization Algorithm 

  Chen, Ke; Gao, Yin; Gao, Hong; Zheng, Hongmei; Wang, Lei; Xiao, Ping (Hindawi, 2020-05-26)

  In the process of minimizing the energy consumption of a 3-RRR planar parallel manipulator (3-RRR PPM) and even general parallel kinematic manipulators, obtaining optimal results usually depends on particular functional ...

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