Challenges and opportunities in green hydrogen supply chain through metaheuristic optimization
SA Gorji - Journal of Computational Design and Engineering, 2023 - academic.oup.com
A comprehensive analysis of the green hydrogen supply chain is presented in this paper,
encompassing production, storage, transportation, and consumption, with a focus on the …
encompassing production, storage, transportation, and consumption, with a focus on the …
Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images
EH Houssein, Z Abohashima… - Journal of …, 2022 - academic.oup.com
Despite the great efforts to find an effective way for coronavirus disease 2019 (COVID-19)
prediction, the virus nature and mutation represent a critical challenge to diagnose the …
prediction, the virus nature and mutation represent a critical challenge to diagnose the …
A multi-strategy enhanced African vultures optimization algorithm for global optimization problems
R Zheng, AG Hussien, R Qaddoura… - Journal of …, 2023 - academic.oup.com
The African vultures optimization algorithm (AVOA) is a recently proposed metaheuristic
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …
[HTML][HTML] An automated metaheuristic-optimized approach for diagnosing and classifying brain tumors based on a convolutional neural network
Brain tumors must be classified to determine their severity and appropriate therapy. Applying
Artificial Intelligence to medical imaging has enabled remarkable developments. The …
Artificial Intelligence to medical imaging has enabled remarkable developments. The …
A state-dependent M/M/1 queueing location-allocation model for vaccine distribution using metaheuristic algorithms
Controlling and maintaining public health in the face of diseases necessitates the effective
implementation of response strategies, including the distribution of vaccines. By distributing …
implementation of response strategies, including the distribution of vaccines. By distributing …
[HTML][HTML] Hybrid machine learning-metaheuristic model for sustainable agri-food production and supply chain planning under water scarcity
Agriculture is of great importance in all societies, serving as the fundamental basis for
producing food and ensuring the survival of human populations. The process of agricultural …
producing food and ensuring the survival of human populations. The process of agricultural …
A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals
K Rezaee, S Savarkar, X Yu, J Zhang - Biomedical Signal Processing and …, 2022 - Elsevier
Parkinson's disease (PD) is known as a rampant neurodegenerative disorder, which has
afflicted approximately 10 million people throughout the world. Surface Electromyography …
afflicted approximately 10 million people throughout the world. Surface Electromyography …
Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms
Breast cancer has become a common malignancy in women. However, early detection and
identification of this disease can save many lives. As computer-aided detection helps …
identification of this disease can save many lives. As computer-aided detection helps …
Deep learning‐based microarray cancer classification and ensemble gene selection approach
Malignancies and diseases of various genetic origins can be diagnosed and classified with
microarray data. There are many obstacles to overcome due to the large size of the gene …
microarray data. There are many obstacles to overcome due to the large size of the gene …
Post-disaster temporary shelters distribution after a large-scale disaster: An integrated model
This paper develops an integrated model for the distribution of post-disaster temporary
shelters after a large-scale disaster. The proposed model clusters impacted areas using an …
shelters after a large-scale disaster. The proposed model clusters impacted areas using an …