Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
W Ding, M Abdel-Basset, H Hawash, AM Ali - Information Sciences, 2022 - Elsevier
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …
strategy of decision-making in different life domains. Regardless of this achievement, AI …
Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
Simulated annealing-based dynamic step shuffled frog lea** algorithm: Optimal performance design and feature selection
The shuffled frog lea** algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …
combinatorial optimization problem, which effectively combines the memetic algorithm …
Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm
Y Zhao, LK Foong - Measurement, 2022 - Elsevier
Combined cycle power plants (CCPP) are among the most sophisticated, yet efficient,
systems for producing electrical energy. Hence, simulating their performance has been an …
systems for producing electrical energy. Hence, simulating their performance has been an …
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems
The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …
has received much attention in various optimization fields due to its simple structure and …
Information sharing search boosted whale optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models
L Peng, C He, AA Heidari, Q Zhang, H Chen… - Energy Conversion and …, 2022 - Elsevier
With the recent emphasis on new energy sources, solar photovoltaic cells have received
widespread attention from scholars as a highly efficient and clean new energy source …
widespread attention from scholars as a highly efficient and clean new energy source …
A comprehensive and systematic review of the IoT-based medical management systems: Applications, techniques, trends and open issues
G Zhang, NJ Navimipour - Sustainable Cities and Society, 2022 - Elsevier
Abstract The Internet of Things (IoT) is critical in a variety of modern city and society
management domains, including intelligent medical management. The intelligent IoT with …
management domains, including intelligent medical management. The intelligent IoT with …
CEDAR: A cluster-based energy-aware data aggregation routing protocol in the internet of things using capuchin search algorithm and fuzzy logic
Over the last decade, the Internet of Things (IoT) has received much interest from the
research and industrial communities due to its fundamental role in altering the human …
research and industrial communities due to its fundamental role in altering the human …
Platformance-based cross-border import retail e-commerce service quality evaluation using an artificial neural network analysis
Z Feng, M Chen - Journal of Global Information Management (JGIM), 2022 - igi-global.com
The transaction scale of cross-border import e-commerce has grown rapidly around the
world. Platform-style cross-border e-commerce does not control the quality, source and …
world. Platform-style cross-border e-commerce does not control the quality, source and …
Nodes clustering and multi-hop routing protocol optimization using hybrid chimp optimization and hunger games search algorithms for sustainable energy efficient …
Clustering and routing processes in underwater wireless sensor networks (UWSNs) are
challenging tasks in the underwater environment due to the multiplicity of sensor nodes …
challenging tasks in the underwater environment due to the multiplicity of sensor nodes …