Search Results - Computing methodologies Machine learning Machine learning approaches Bio-inspired approaches

Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models.

Authors: Sanjalawe, Yousef Fraihat, Salam Al-E'mari, Salam et al.

Source: PLoS ONE. 9/9/2025, Vol. 20 Issue 9, p1-50. 50p.

Subject Terms: *CLOUD computing, *LOAD balancing (Computer networks), *DEEP learning, *REINFORCEMENT learning, *FEATURE selection, *RESOURCE management, *MATHEMATICAL optimization

Intrusion detection systems for IoT based on bio-inspired and machine learning techniques: a systematic review of the literature.

Authors: Saadouni, Rafika Gherbi, Chirihane Aliouat, Zibouda et al.

Source: Cluster Computing. Oct2024, Vol. 27 Issue 7, p8655-8681. 27p.

Subject Terms: *COMPUTER network traffic, *MACHINE learning, *COMPUTER network security, *TECHNOLOGICAL innovations, *DEEP learning, *BIOLOGICALLY inspired computing, *INTRUSION detection systems (Computer security)

Integration of deep learning, big data and biomechanics to optimize the layout of new railroad energy bioeffects.

Authors: Xiao, Yanfeng

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 4, p1-15, 15p

Subject Terms: DEEP learning, BIG data, BIOMECHANICS, ARTIFICIAL neural networks, ENVIRONMENTAL impact analysis, ENERGY consumption, SUSTAINABLE development, INFRASTRUCTURE (Economics)

An IoT Approach Enhanced with AI Capabilities for Predictive Neurology in Smart Homes.

Authors: Ebâncă, Daniel-Costin Popîrlan, Cristina Tudor, Irina-Valentina

Source: BRAIN: Broad Research in Artificial Intelligence & Neuroscience; Feb2025, Vol. 16 Issue 1, p272-285, 14p

Subject Terms: MACHINE learning, REAL-time computing, ALZHEIMER'S disease, PARKINSON'S disease, ARTIFICIAL intelligence

A MATLAB Algorithm to Automatically Estimate the QT Interval and Other ECG Parameters and Validation Using a Machine Learning Approach in Congenital Long-QT Syndrome.

Authors: Tzvi-Minker, Elinor Dittmann, Sven Rickert, Corinna et al.

Source: Journal of Cardiovascular Translational Research; Oct2025, Vol. 18 Issue 5, p1470-1481, 12p

Strategic Decision-Making in SMEs: A Review of Heuristics and Machine Learning for Multi-Objective Optimization.

Authors: Molina-Abril, Gines Calvet, Laura Juan, Angel A. et al.

Source: Computation; Jul2025, Vol. 13 Issue 7, p173, 22p

Subject Terms: MACHINE learning, MULTI-objective optimization, ORGANIZATIONAL resilience, SMALL business, DIGITAL transformation, STRATEGIC planning, MATHEMATICAL optimization, HEURISTIC

Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach and deep neural networks.

Authors: Ibor, A. E. Egete, D. O. Otiko, A. O. et al.

Source: Journal of Nigerian Society of Physical Sciences; Aug2025, Vol. 7 Issue 3, p1-15, 15p

Subject Terms: ARTIFICIAL neural networks, FEEDFORWARD neural networks, AUTOENCODERS, CYBER physical systems, COMPUTER network traffic, DEEP learning

Advancements in Breast Cancer Detection: A Review of Global Trends, Risk Factors, Imaging Modalities, Machine Learning, and Deep Learning Approaches.

Authors: Rahman, Md. Atiqur Khan, M. Saddam Hossain Watanobe, Yutaka et al.

Source: BioMedInformatics; Sep2025, Vol. 5 Issue 3, p46, 70p

Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis.

Authors: Siddique, Aftab Batchu, Phaneendra Shaik, Arshad et al.

Source: Frontiers in Veterinary Science. 2025, p1-11. 11p.

Predictive Modelling for Early Disease Detection from Clinical Text Data using Machine Learning Algorithms.

Authors: Gour, Sanjeev Pandagre, Karuna Nidhi Joshi, Apoorva et al.

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 2, p1788-1799, 12p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, EARLY diagnosis, DEEP learning, BLOOD diseases

Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer.

Authors: Praveena, V. Sujithra, L. R. Karthik, S. et al.

Source: Multimedia Systems. Dec2023, Vol. 29 Issue 6, p3403-3419. 17p.

Subject Terms: *SINGLE nucleotide polymorphisms, *CANCER diagnosis, *FEATURE selection, *GENE expression, *MACHINE learning, *BIOLOGICALLY inspired computing, *DEEP learning

Bio-inspired resource allocation optimization using evolution-based genetic algorithm for vocational education skill development: A natural selection approach.

Authors: Meng, Qiang Li, Zheng

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-23, 23p

Subject Terms: RESOURCE allocation, VOCATIONAL education, EFFECTIVE teaching, MULTI-objective optimization, GENETIC algorithms, TALENT development

Deep Learning Approaches For Epileptic Seizures Detection And Prediction Through EEG Signals: A Review.

Authors: Palepu, Vijaya Santhi Kotamraju, Sarat K. Sri Kavya, K. Ch. et al.

Source: Frontiers in Health Informatics; 2024, Vol. 13 Issue 3, p67-109, 43p

Subject Terms: EPILEPSY, CONVOLUTIONAL neural networks, CHATBOTS, MACHINE learning, WAVELET transforms, DEEP learning, ELECTROENCEPHALOGRAPHY

Evaluation of corporate financial performance based on bionic algorithm and biomechanical analysis.

Authors: Xu, Yi

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-18, 18p

Subject Terms: FINANCIAL performance, CONVOLUTIONAL neural networks, DEEP learning, BIOLOGICALLY inspired computing, MATHEMATICAL optimization

Perceptual representations of structural and geometric information in images: bio-inspired and machine learning approaches Application to visual quality assessment of immersive media ; Représentations perceptuelles de l'information structurelle et géométrique des images : approches bio inspirées et par apprentissage machine

Authors: Ling, Suiyi Laboratoire des Sciences du Numérique de Nantes (LS2N) Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST) et al.

Contributors: Ling, Suiyi Laboratoire des Sciences du Numérique de Nantes (LS2N) Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST) et al.

Source: https://hal.science/hal-02999194 ; Computer Science [cs]. 2018. English. ⟨NNT : ⟩.

Subject Terms: ACM: I.: Computing Methodologies, [INFO]Computer Science [cs]

Availability: https://hal.science/hal-02999194
https://hal.science/hal-02999194v1/document
https://hal.science/hal-02999194v1/file/these.pdf

A Preliminary Mechanics-Informed Machine Learning Framework for Objective Assessment of Parkinson's Disease and Rehabilitation Outcomes.

Authors: Hanifi, Amirali Abedini-Nassab, Roozbeh Ashtiani, Mohammed N.

Source: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 22, p2855, 25p

Subject Terms: PARKINSON'S disease, MACHINE learning, DIMENSIONAL reduction algorithms, GROUND reaction forces (Biomechanics), REHABILITATION, POSTURAL balance, CLUSTER analysis (Statistics)

Bio-inspired algorithms for the characterization of excellent performance in handball players: A data-driven methodology.

Authors: López-Gómez, Julio Alberto Romero, Francisco P. Angulo, Eusebio

Source: Expert Systems with Applications. May2025, Vol. 274, pN.PAG-N.PAG. 1p.

Subject Terms: *MACHINE learning, *ARTIFICIAL intelligence, *HANDBALL players, *EUROPEAN integration, *WORLD championships, *BIOLOGICALLY inspired computing

Enhancing Network Resilience: A Hybrid Meta-Heuristic Intrusion Detection System Leveraging SSA-BOA-CNN.

Authors: Sherin, R. C. Jeyavim Parkavi, K.

Source: Journal of Network & Systems Management. Mar2026, Vol. 34 Issue 1, p1-38. 38p.

AN IN-DEPTH EXAMINATION OF DIVERSE IMAGE SEGMENTATION TECHNIQUES FOR FUNDUS IMAGING-BASED GLAUCOMA IDENTIFICATION.

Authors: Kanwar, Akshay Puthooran, Emjee Kumar, Vinod

Source: Biomedical Engineering: Applications, Basis & Communications; Oct2025, Vol. 37 Issue 5, p1-48, 48p

Subject Terms: ARTIFICIAL neural networks, DEEP learning, MACHINE learning, CLINICAL decision support systems, CONVOLUTIONAL neural networks, EXTREME learning machines, FEATURE selection

Analysis of China's intellectual property legal protection strategy based on machine learning algorithms and biomechanical theory.

Authors: Guo, Qingmei

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-18, 18p

Subject Terms: INTELLECTUAL property, PATENT infringement, EVALUATION methodology, RISK assessment, BIOMECHANICS, DIGITAL technology, MACHINE learning, SCIENTIFIC observation

Geographic Terms: CHINA