• 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, ...

View more