Suchergebnisse - Non-numerical Algorithms and Problems. General Terms Algorithms~

A multi-task multi-objective evolutionary algorithm for constrained multi-objective optimization problems.

Autoren: Liu, Tianyu Wu, Yu Xu, He

Quelle: Memetic Computing; Sep2025, Vol. 17 Issue 3, p1-29, 29p

Fake News Detection Using Machine Learning and Deep Learning Algorithms: A Comprehensive Review and Future Perspectives.

Autoren: Alshuwaier, Faisal A. Alsulaiman, Fawaz A.

Quelle: Computers (2073-431X); Sep2025, Vol. 14 Issue 9, p394, 40p

Schlagwörter: FAKE news, MACHINE learning, EVALUATION methodology, DEEP learning, APPLIED sciences, DETECTION algorithms, SOCIAL media, SCIENTIFIC observation

A multi-stage integrated model based on deep neural network for credit risk assessment with unbalanced data.

Autoren: Wang, Lu Zheng, Jiahao Yao, Jianrong et al.

Quelle: Kybernetes; 2025, Vol. 54 Issue 9, p4626-4657, 32p

Schlagwörter: ARTIFICIAL neural networks, LONG short-term memory, FEATURE extraction, DEEP learning, OPTIMIZATION algorithms, CREDIT analysis, INFORMATION asymmetry

Evaluation of Large Language Models as Solution Generators in Complex Optimization.

Autoren: Huang, Beichen Wu, Xingyu Zhou, Yu et al.

Quelle: IEEE Computational Intelligence Magazine; Nov2025, Vol. 20 Issue 4, p56-70, 15p

Design and Test Verification of Energy Consumption Perception AI Algorithm for Terminal Access to Smart Grid.

Autoren: Bi, Sheng Wang, Jiayan Su, Dong et al.

Quelle: Energy Engineering; 2025, Vol. 122 Issue 10, p4135-4151, 17p

Schlagwörter: ENERGY consumption, REINFORCEMENT learning, PREDICTION algorithms, MARKOV processes, MACHINE learning, ARTIFICIAL intelligence, SMART power grids, PREDICTION models

Neural networks in catchment hydrology: a comparative study of different algorithms in an ensemble of ungauged basins in Germany.

Autoren: Weißenborn, Max Breuer, Lutz Houska, Tobias

Quelle: Hydrology & Earth System Sciences; 2025, Vol. 29 Issue 19, p5131-5164, 34p

Schlagwörter: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, HYDROLOGIC models, LONG short-term memory, WATERSHEDS

Geografische Kategorien: HESSE (Germany), GERMANY

Machine Learning-Based Injury Risk Prediction Models for Athletes in Rehabilitation.

Autoren: Yang, Jiayue

Quelle: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p9385-9406, 22p

Schlagwörter: MACHINE learning, ARTIFICIAL intelligence, SPORTS injuries, REHABILITATION, ATHLETES

On the resolution and linear optimization problems subject to a system of bipolar fuzzy relational equalities defined with continuous Archimedean t-norms.

Autoren: Ghodousian, A. Chopannavaz, M. Sedigh Pedrycz, W.

Quelle: Iranian Journal of Fuzzy Systems; Jul/Aug2025, Vol. 22 Issue 4, p137-160, 24p

Schlagwörter: FUZZY relational equations, LINEAR programming, GLOBAL optimization, MATHEMATICAL simplification, TRIANGULAR norms, MATHEMATICAL optimization

The practices and politics of machine learning: a field guide for analyzing artificial intelligence.

Autoren: Lee, Francis

Quelle: AI & Society; Dec2025, Vol. 40 Issue 8, p6135-6148, 14p

Schlagwörter: MACHINE learning, FEATURE extraction, TECHNOLOGICAL innovations, POWER (Social sciences), CLASSIFICATION algorithms, GUIDEBOOKS, ALGORITHMS

Intelligent intrusion detection system based on crowd search optimization for attack classification in network security.

Autoren: Gupta, Chetan Kumar, Amit Jain, Neelesh Kumar

Quelle: EURASIP Journal on Information Security; 7/11/2025, Vol. 2025 Issue 1, p1-24, 24p

Schlagwörter: RANDOM forest algorithms, DENIAL of service attacks, FEATURE selection, COMPUTER networks, COMPUTER network security, INTRUSION detection systems (Computer security)

Leveraging enhanced egret swarm optimization algorithm and artificial intelligence-driven prompt strategies for portfolio selection.

Autoren: Huang, Zhendai Zhang, Zhen Hua, Cheng et al.

Quelle: Scientific Reports; 11/4/2024, Vol. 14 Issue 1, p1-20, 20p

Schlagwörter: GENERATIVE artificial intelligence, LANGUAGE models, OPTIMIZATION algorithms, ARTIFICIAL intelligence, ASSET allocation

A hybrid genetic algorithm for stochastic job-shop scheduling problems.

Autoren: Boukedroun, Mohammed Duvivier, David Ait-el-Cadi, Abdessamad et al.

Quelle: RAIRO: Operations Research (2804-7303); 2023, Vol. 57 Issue 4, p1617-1645, 29p

Schlagwörter: TABU search algorithm, PRODUCTION scheduling, GENETIC algorithms, MANUFACTURING processes, NP-hard problems, METAHEURISTIC algorithms

Adaptive hybrid ANFIS-PSO and ANFIS-GA approach for occupational risk prediction.

Autoren: Achouri, Mourad Zennir, Youcef Tolba, Cherif

Quelle: International Journal of Occupational Safety & Ergonomics; Jun2025, Vol. 31 Issue 2, p384-398, 15p

Schlagwörter: WORK-related injuries risk factors, RISK assessment, LOGISTIC regression analysis, PARTICLE swarm optimization, SUPPORT vector machines, ARTIFICIAL neural networks, PREDICTION algorithms, MACHINE learning, GENETIC algorithms, ALGORITHMS

Perception and use of ChatGPT among university students. Analysis based on K-Modes.

Alternate Title: Percepción y uso de ChatGPT entre estudiantes universitarios. Análisis basado en K-Modes. (Spanish)

Autoren: Cervantes, Darío Morales, Edgar

Quelle: Data & Metadata; 2025, Vol. 4, p1-10, 10p

Schlagwörter: CHATGPT, COLLEGE students, ETHICAL problems, ECUADORIANS, ACADEMIC achievement, ARTIFICIAL intelligence, CLUSTERING algorithms, HIGHER education

Bitterling fish optimization (BFO) algorithm.

Autoren: Zareian, Lida Rahebi, Javad Shayegan, Mohammad Javad

Quelle: Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 31, p75893-75926, 34p

Schlagwörter: METAHEURISTIC algorithms, ARTIFICIAL neural networks, OPTIMIZATION algorithms, MULTILAYER perceptrons, COVID-19

Domain-general and domain-specific cognitive correlates of developmental dyscalculia: a systematic review of the last two decades' literature.

Autoren: Mishra, Ankit Khan, Azizuddin

Quelle: Child Neuropsychology; Nov2023, Vol. 29 Issue 8, p1179-1229, 51p

Schlagwörter: COGNITION, ACALCULIA, MATHEMATICAL ability, METAHEURISTIC algorithms, SHORT-term memory, COGNITIVE ability

An advanced attack categorization in NIDS using enhanced deep learning based EOptResfEANet methodology with hybrid feature extraction.

Autoren: Moudiappa, Vinolia Alexander Nataraj, Kanya Rajavarman, Veeramalai Natarajan

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-28, 28p

Schlagwörter: OPTIMIZATION algorithms, ARTIFICIAL intelligence, DEEP learning, IMAGE processing, TRADE secrets

IMPROVING IOT SECURITY: THE IMPACT OF DIMENSIONALITY AND SIZE REDUCTION ON INTRUSION-DETECTION PERFORMANCE.

Autoren: Younisse, Remah Saif, Amal Al-Madi, Nailah et al.

Quelle: Jordanian Journal of Computers & Information Technology; Sep2025, Vol. 11 Issue 3, p351-368, 18p

Schlagwörter: INTRUSION detection systems (Computer security), DATA reduction, MACHINE learning, DIMENSIONAL reduction algorithms, INTERNET of things, MATHEMATICAL optimization, SAMPLING (Process)

A method for man hour optimisation and workforce allocation problem with discrete and non-numerical constraints in large-scale one-of-a-kind production.

Autoren: Mei, Ying Zeng, Zhigang Feng, Ding et al.

Quelle: International Journal of Production Research; Feb2016, Vol. 54 Issue 3, p864-877, 14p, 8 Diagrams, 6 Charts

Schlagwörter: LABOR time, LABOR supply, WORKING hours, GENETIC algorithms, PARTICLE swarm optimization, ASSIGNMENT problems (Programming)

Research on social bot identification through behavioral feature analysis.

Autoren: Zhang, Peng Du, Yinghui Wang, Qilei et al.

Quelle: PLoS ONE; 6/6/2025, Vol. 20 Issue 6, p1-20, 20p

Schlagwörter: ARTIFICIAL neural networks, SOCIAL robots, SOCIAL media, ARTIFICIAL intelligence, RANDOM forest algorithms, FEATURE selection