Time series forecasting is important for cloud computing because it helps keep services running, ensures that Quality of...
Machine Learning (ML) has been utilized in agriculture to enhance agricultural productivity and reduce environmental imp...
The integration of Intelligent Reflecting Surfaces (IRS) with millimeter-Wave (mmWave) Multiple-Input Multiple-Output (M...
Lower-limb exoskeleton robots are used for functional recovery and for supporting people in physical activities. In this...
This study presents Hyper_ALO_HybML, a hybrid machine learning framework enhanced through Improved Ant Lion Optimization...
The Hybrid Unmanned Aerial Vehicles (UAVs) are getting significant ground in their role as a source of information excha...
Renewable Energy Sources (RES) are an alternative one for addressing growing energy demand to diminish climate change wh...
While increased internet connectivity offers numerous benefits, it also raises the risk of cyber-attacks by creating mor...
The SmartGRidOptimizer-X is an advanced hybrid forecasting model that can precisely forecast the energy demand by incorp...
Classical dances like Sattriya dance have much cultural and artistic importance, and all the gestures carry a specific m...