Modeling macroscopic brain dynamics with brain-inspired computing architecture
Dynamic mean-field model In this work, we use the DMF model proposed in prior work21 to simulate the…
Improved distance and energy aware link stability protocol for internet of medical things
In this section, we discuss the performance of the IDEALS, which is designed for IoMT applications. The simulation…
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…
A hybrid q-rung linear diophantine fuzzy WASPAS approach for artificial intelligence algorithm selection in physical education
PE is essential for the development of physical fitness, motor skills, mental health, and lifelong healthy habits in…
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…
Predicting water quality index using stacked ensemble regression and SHAP based explainable artificial intelligence
Evaluation and comparison of individual regression models The performance of individual regression models, which includes XGBoost, CatBoost, Random…
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…
Intelligent generation and optimization of resources in music teaching reform based on artificial intelligence and deep learning
Datasets collection To comprehensively verify the effectiveness and universality of the proposed algorithm, this study adopts two large-scale…
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…