Given recent events, training during quarantine can only take place remotely. To ensure quality training, communication must be seamless. do this, the network function smoothly. The solution to this problem is functionally stable networks that allow uninterrupted transmission of information due redundancy. An important issue definition solve problem, article considers method synthesis structure...

Abstract Deep Learning (DL) has achieved remarkable progress over the last decade on various tasks such as image recognition, speech and natural language processing. In general, three main crucial aspects fueled this progress: increasing availability of large amount digitized data, affordable parallel powerful computing resources (e.g., GPU) growing number open source deep learning frameworks t...

Deep reinforcement learning augments the framework and utilizes powerful representation of deep neural networks. Recent works have demonstrated remarkable successes in various domains including finance, medicine, healthcare, video games, robotics, computer vision. In this work, we provide a detailed review recent state-of-the-art research advances We start with comprehending theories learning, ...

Abstract Video restoration concerns the recovery of a clean video sequence starting from its degraded version. Different tasks exist, including denoising, deblurring, super-resolution, and reduction compression artifacts. In this paper, we provide comprehensive review main features existing methods based on deep learning. We focus our attention architectural components, strategies for motion ha...

Agriculture is an essential part of sustaining human life. Population growth, climate change, resource competition are the key issues that increase food security and to handle such complex problems in agriculture production, intelligent or smart farming extends incorporation technology into traditional notion. Machine learning a vitally used protect sustainability. Crop yield water preservation...

This paper provides a comprehensive study of Federated Learning (FL) with an emphasis on components, challenges, applications and FL environment. can be applicable in multiple fields domains real-life models. the medical system, privacy patients records their condition is critical data, therefore collaborative learning or federated comes into picture. On other hand build intelligent system assi...