Titlebook: Deep Learning Applications, Volume 2; M. Arif Wani,Taghi M. Khoshgoftaar,Vasile Palade Book 2021 The Editor(s) (if applicable) and The Aut

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Non-convex Optimization Using Parameter Continuation Methods for Deep Neural Networks,etween those techniques and deep neural networks. In particular, we illustrate a method that we call Natural Parameter Adaption Continuation with Secant approximation (NPACS). Herein we transform regularly used activation functions to their homotopic versions. Such a version allows one to decompose

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Automatic Solar Panel Detection from High-Resolution Orthoimagery Using Deep Learning Segmentation oftops in a region or city and also for estimating the solar potential of the installed solar panels. Detection of accurate shapes and sizes of solar panels is a prerequisite for successful capacity and energy generation estimation from solar panels over a region or a city. Such an approach is helpf

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Exploiting Spatio-Temporal Correlation in RF Data Using Deep Learning,r our smartphones but also for other applications like surveillance, navigation, jamming, anti-jamming, radar to name a few areas of applications. These recent advances of wireless technologies in radio frequency (RF) environments have warranted more autonomous deployments of wireless systems. With

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Human Target Detection and Localization with Radars Using Deep Learning, The detection of human targets can assist in energy savings in commercial buildings, public spaces, and smart homes by automatic control of lighting, heating, ventilation, and air conditioning (HVAC). Such smart sensing applications can facilitate monitoring, controlling, and thus saving energy. Co

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