Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA
The methodology framework of this study aims to achieve two goals: (1) draft the energy–water–climate impacts of AI…
Impact of rotating cylinders configurations on Cu-water nanofluid heat transfer in a vented cavity: a COMSOL multiphysics base study
This section presents the numerical results for the streamlines and isotherms to evaluate the influence of rotating cylinders…
Analytical construction and visualization of nonlinear waves in the (2+1) dimensional Kadomtsev-Petviashvili-Sawada-Kotera-Ramani equation with stability analysis
The steps of the improved modified extended Tanh method that were explained in the preceding section will be…
Deep computer vision with artificial intelligence based sign language recognition to assist hearing and speech-impaired individuals
This study proposes a novel HHODLM-SLR technique. The presented HHODLM-SLR technique mainly concentrates on the advanced automatic detection…
Assessment of university students’ earthquake coping strategies using artificial intelligence methods
In this section; information about Coping with Earthquake Stress Strategy Dataset, Confusion Matrix and Performance Metrics, Matthews Correlation…
Predicting bone cancer drugs properties through topological indices and machine learning
Actinomycin D is used as an antineoplastic antibiotic that intercalates into DNA, thereby preventing RNA synthesis. It is…
Multi video stream collaborative adaptive offloading scheme based on equilibrium game theory
Game theory is a mathematical method for selecting a strategy that maximizes the profits of each agent in…
Stacked ensemble model for NBA game outcome prediction analysis
This study aims to develop a predictive framework for NBA game outcomes using a machine-learning strategy based on…
Design of mTCN framework for disaster prediction a fusion of massive machine type communications and temporal convolutional networks
This study presents a novel framework of disaster prediction, integrating federated learning and blockchain technology, called mTCN-FChain, shown…
Real-time monitoring and optimization methods for user-side energy management based on edge computing
Load forecasting algorithm Accurate short-term load forecasting is crucial for effective energy management and optimization at the user…