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Promoting inclusivity in education amid the post-COVID-19 challenges: An interval-valued fuzzy model for pedagogy method selection

The international journal of management education, 2024-11, Vol.22 (3), p.101018, Article 101018

2024

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Identifying and understanding student dropouts using metaheuristic optimized classifiers and explainable artificial intelligence techniques

IEEE access, 2024-08, p.1-1

2024

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Optimizing long-short term memory neural networks for electroencephalogram anomaly detection using variable neighborhood search with dynamic strategy change

Complex & intelligent systems, 2024-08

2024

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Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction

Neural computing & applications, 2024-08, Vol.36 (24), p.14727-14756

2024

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Blood supply chain network design with lateral freight: A robust possibilistic optimization model

Engineering applications of artificial intelligence, 2024-07, Vol.133, p.108053, Article 108053

2024

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Audio analysis speeding detection techniques based on metaheuristic-optimized machine learning models

Engineering applications of artificial intelligence, 2024-07, Vol.133, p.108463, Article 108463

2024

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Rooftop solar potential in micro, small, and medium size enterprises: An insight into renewable energy tapping by decision-making approach

Solar energy, 2024-07, Vol.276, p.112692, Article 112692

2024

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The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere

The Science of the total environment, 2024-06, Vol.929, p.172195-172195, Article 172195

2024

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Aczel Alsina t-norm and t-conorm-based aggregation operators under linguistic interval-valued intuitionistic fuzzy setting with application

PeerJ. Computer science, 2024-05, Vol.10, p.e1979-e1979, Article e1979

2024

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Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics

PeerJ. Computer science, 2024-05, Vol.10, p.e2031-e2031, Article e2031

2024

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Impact of fluid balance and opioid-sparing anesthesia within enchanced recovery pathway on postoperative morbidity after transthoracic esophagectomy for cancer

Frontiers in medicine, 2024-05, Vol.11, p.1366438-1366438

2024

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Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches

Engineering applications of artificial intelligence, 2024-05, Vol.131, p.107889, Article 107889

2024

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The Role of Glutathione Transferase Omega-Class Variant Alleles in Individual Susceptibility to Ovarian Cancer

International journal of molecular sciences, 2024-05, Vol.25 (9), p.4986

2024

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Pain Catastrophizing: How Far Have We Come

Neurology international, 2024-04, Vol.16 (3), p.483-501

2024

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Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics

Soft computing (Berlin, Germany), 2024-04, Vol.28 (7-8), p.6383-6402

2024

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Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization

Complex & intelligent systems, 2024-04, Vol.10 (2), p.2249-2269

2024

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A single-valued neutrosophic-based methodology for selecting warehouse management software in sustainable logistics systems

Engineering applications of artificial intelligence, 2024-03, Vol.129, p.107626, Article 107626

2024

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Psychometric components of the social acceptance toward end-of-life vehicles policy: A case study of Indonesia

Transport policy, 2024-03, Vol.148, p.206-218

2024

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Performance evaluation methodology for gas turbine power plants using graph theory and combinatorics

International journal of hydrogen energy, 2024-02, Vol.57, p.1286-1301

2024

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Tuning attention based long-short term memory neural networks for Parkinson's disease detection using modified metaheuristics

Scientific reports, 2024-02, Vol.14 (1), p.4309-4309, Article 4309

2024

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Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm

Annals of operations research, 2023-12

2023

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The impact of anticoagulation therapy on kidney function in patients with atrial fibrillation and chronic kidney disease

Expert review of cardiovascular therapy, 2023-12, Vol.21 (12), p.937-945

2023

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Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis

Applied soft computing, 2023-12, Vol.149, p.110955, Article 110955

2023

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Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations

Applied soft computing, 2023-10, Vol.146, p.110659, Article 110659

2023

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Barriers to effective implementation of end-of-life vehicle management in Indonesia

Environmental science and pollution research international, 2023-08, Vol.30 (37), p.87286-87299

2023

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Promoting inclusivity in education amid the post-COVID-19 challenges: An interval-valued fuzzy model for pedagogy method selection

Identifying and understanding student dropouts using metaheuristic optimized classifiers and explainable artificial intelligence techniques

Optimizing long-short term memory neural networks for electroencephalogram anomaly detection using variable neighborhood search with dynamic strategy change

Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction

Blood supply chain network design with lateral freight: A robust possibilistic optimization model

Audio analysis speeding detection techniques based on metaheuristic-optimized machine learning models

Rooftop solar potential in micro, small, and medium size enterprises: An insight into renewable energy tapping by decision-making approach

The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere

Aczel Alsina t-norm and t-conorm-based aggregation operators under linguistic interval-valued intuitionistic fuzzy setting with application

Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics

Impact of fluid balance and opioid-sparing anesthesia within enchanced recovery pathway on postoperative morbidity after transthoracic esophagectomy for cancer

Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches

The Role of Glutathione Transferase Omega-Class Variant Alleles in Individual Susceptibility to Ovarian Cancer

Pain Catastrophizing: How Far Have We Come

Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics

Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization

A single-valued neutrosophic-based methodology for selecting warehouse management software in sustainable logistics systems

Psychometric components of the social acceptance toward end-of-life vehicles policy: A case study of Indonesia

Performance evaluation methodology for gas turbine power plants using graph theory and combinatorics

Tuning attention based long-short term memory neural networks for Parkinson's disease detection using modified metaheuristics

Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm

The impact of anticoagulation therapy on kidney function in patients with atrial fibrillation and chronic kidney disease

Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis

Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations

Barriers to effective implementation of end-of-life vehicle management in Indonesia

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