Search Results - 2012 ACM Subject Classification Design AND analysis of algorithms Average Complexity*

On the average complexity of Berge Algorithm ; Sur la complexité moyenne de l'algorithme de Berge

Authors: David, Julien Gholami, Mostafa Lhote, Loïck et al.

Contributors: David, Julien Gholami, Mostafa Lhote, Loïck et al.

Source: https://hal.science/hal-04637413 ; 2025.

Subject Terms: 2012 ACM Subject Classification Design and analysis of algorithms Average Complexity, Minimal Transversal, Berge Algorithm, Hypergraphs, Analytic Combinatorics Digital Object Identifier, [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]

Availability: https://hal.science/hal-04637413
https://hal.science/hal-04637413v1/document
https://hal.science/hal-04637413v1/file/Soumis%20%C3%A0%20SODA%20-%20On%20the%20average%20complexity%20of%20Berge%20Algorithm%20%281%29.pdf

Research on the classification of EEG signals for dementia and its interpretability using the GWOCS agorithm.

Authors: Wang, Ruofan Xu, Haojie Ma, Yijia et al.

Source: Cognitive Neurodynamics; 11/10/2025, Vol. 20 Issue 1, p1-30, 30p

Final weight prediction from body measurements in Kıvırcık lambs using data mining algorithms.

Authors: Şengül, Ömer Çelik, Şenol

Source: Archives Animal Breeding / Archiv Tierzucht. 2025, Vol. 68 Issue 2, p325-337. 13p.

Subjects: Standard deviations, Regression trees, Random forest algorithms, Data mining, Lambs

The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review.

Authors: Grzesiak, Wilhelm Zaborski, Daniel Pluciński, Marcin et al.

Source: Animals (2076-2615); Jul2025, Vol. 15 Issue 14, p2033, 38p

Subject Terms: MACHINE learning, DAIRY cattle, AGRICULTURE, DATA analysis, CLASSIFICATION algorithms, REGRESSION analysis, ANIMAL culture, AGRICULTURAL technology

Deep-learning-based buffalo identification through muzzle pattern images.

Authors: Ermetin, Orhan Örnek, Humar Kahramanlı

Source: Archives Animal Breeding / Archiv Tierzucht. 2025, Vol. 68 Issue 3, p473-484. 12p.

Subjects: Artificial intelligence, Water buffalo, Artificial neural networks, Biometric identification, Livestock, Convolutional neural networks, Deep learning, Identification of animals

Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data.

Authors: Deniz, Sencer Melih Ademoglu, Ahmet Duru, Adil Deniz et al.

Source: Brain Sciences (2076-3425); Jul2025, Vol. 15 Issue 7, p714, 24p

Subject Terms: EMOTIONS, COGNITION, WAVELETS (Mathematics), ELECTROENCEPHALOGRAPHY, SUPERVISED learning, EVOKED potentials (Electrophysiology), ELECTROPHYSIOLOGY, GRAPH theory

DSTA-Net: dynamic spatio-temporal feature augmentation network for motor imagery classification.

Authors: Chang, Liang Yang, Banghua Zhang, Jiayang et al.

Source: Cognitive Neurodynamics; 7/23/2025, Vol. 19 Issue 1, p1-14, 14p

Hybrid EEG Feature Learning Method for Cross-Session Human Mental Attention State Classification.

Authors: Chen, Xu Bao, Xingtong Jitian, Kailun et al.

Source: Brain Sciences (2076-3425); Aug2025, Vol. 15 Issue 8, p805, 23p

Subject Terms: ELECTROENCEPHALOGRAPHY, ATTENTION, SUPPORT vector machines, FEATURE extraction, PATTERN perception, BRAIN-computer interfaces, CLASSIFICATION

Enhancing Alzheimer's Diagnosis with Machine Learning on EEG: A Spectral Feature-Based Comparative Analysis.

Authors: Senkaya, Yeliz Kurnaz, Cetin Ozbilgin, Ferdi

Source: Diagnostics (2075-4418); Sep2025, Vol. 15 Issue 17, p2190, 23p

Subject Terms: ALZHEIMER'S disease, MACHINE learning, SUPPORT vector machines, DIAGNOSIS, K-nearest neighbor classification, ELECTROENCEPHALOGRAPHY, SPECTRAL energy distribution, NEURODEGENERATION

Stack Coupling Machine Learning Model Could Enhance the Accuracy in Short-Term Water Quality Prediction.

Authors: Zhang, Kai Xia, Rui Wang, Yao et al.

Source: Water (20734441); Oct2025, Vol. 17 Issue 19, p2868, 29p

Subject Terms: WATER quality, MACHINE learning, PREDICTION models, NONPOINT source pollution, LONG short-term memory, BOOSTING algorithms, WATERSHEDS, RUNOFF

Geographic Terms: SOUTHEAST China

MCL-SWT: Mirror Contrastive Learning with Sliding Window Transformer for Subject-Independent EEG Recognition †.

Authors: Mao, Qi Zhu, Hongke Yan, Wenyao et al.

Source: Brain Sciences (2076-3425); May2025, Vol. 15 Issue 5, p460, 21p

Subject Terms: MOTOR imagery (Cognition), TRANSFORMER models, SENSORIMOTOR cortex, MOTOR learning, COMPUTATIONAL complexity

ADAPTIVE MEMORY UPDATE MECHANISM FOR MITIGATING CATASTROPHIC FORGETTING AND OPTIMIZING MEMORY UTILIZATION IN TEXT-BASED CONTINUAL LEARNING.

Authors: Ranjith, J. Baskaran, Santhi

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 1, p363-391, 29p

Subject Terms: NATURAL language processing, SEQUENTIAL learning, DEEP learning, TASK analysis, MODULAR design

A Multi-Epiphysiological Indicator Dog Emotion Classification System Integrating Skin and Muscle Potential Signals.

Authors: Jia, Wenqi Hu, Yanzhi Wang, Zimeng et al.

Source: Animals (2076-2615); Jul2025, Vol. 15 Issue 13, p1984, 21p

Subject Terms: EMOTIONS in animals, GALVANIC skin response, ELECTROMYOGRAPHY, ANIMAL welfare, REAL-time computing, ENSEMBLE learning, MACHINE learning, PHYSIOLOGY

Personalized clothing recommendation framework based on the fusion of sports biomechanics and computer vision.

Authors: Liu, Xiaoyang Sun, Yan

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-26, 26p

Subject Terms: SPORTS biomechanics, COMPUTER vision, RECOMMENDER systems, CUSTOM-made clothing, ARTIFICIAL neural networks, MULTISENSOR data fusion, PRESSURE sensors

Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks.

Authors: Fafrowicz, Magdalena Tutajewski, Marcin Sieradzki, Igor et al.

Source: Frontiers in Neuroinformatics; 2025, p1-18, 18p

Subject Terms: CONVOLUTIONAL neural networks, RECOLLECTION (Psychology), SHORT-term memory, INFORMATION processing, VISUAL perception

An Innovative Approach for Extraction of Smoking Addiction Levels Using Physiological Parameters Based on Machine Learning: Proof of Concept.

Authors: Bascil, Muhammet Serdar Iscanli, Irem Nur

Source: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 22, p2839, 22p

Subject Terms: NICOTINE addiction, MACHINE learning, PATIENT monitoring, DECISION trees, SUPPORT vector machines, SCIENTIFIC observation, K-nearest neighbor classification

The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.

Authors: Ngo, Kaitlyn Mekhail, Simone Chan, Virginia et al.

Source: Nutrients. Nov2025, Vol. 17 Issue 22, p3515. 45p.

Attention-guided deep learning–machine learning and statistical feature fusion for interpretable mental workload classification from EEG.

Authors: Majumder, Sukanta Patra, Dibyendu Gorai, Subhajit et al.

Source: Cognitive Neurodynamics; 12/6/2025, Vol. 20 Issue 1, p1-23, 23p

A HYBRID RECOGNITION METHOD VIA KELM WITH CPSO FOR MMG-BASED UPPER-LIMB MOVEMENTS CLASSIFICATION.

Authors: CAO, GANGSHENG ZHANG, YUE ZHANG, HANYANG et al.

Source: Journal of Mechanics in Medicine & Biology; Aug2024, Vol. 24 Issue 6, p1-24, 24p

Subject Terms: PATTERN recognition systems, FEATURE extraction, PARTICLE swarm optimization, MACHINE learning, PRINCIPAL components analysis

Learning image derived PDE-phenotypes from fMRI data.

Authors: Bica, Ion Trang, Ryan Hu, Rui et al.

Source: Brain Informatics; 12/8/2025, Vol. 12 Issue 1, p1-16, 16p