Suchergebnisse - recursive post squares algorithm with auxiliary variable~

Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models.

Autoren: Gan, Min Guan, Yu Chen, Guang-Yong et al.

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Nov2021, Vol. 32 Issue 11, p4971-4982, 12p

Schlagwörter: ALGORITHMS, SIGNAL processing, SYSTEM identification, PARAMETER estimation, MACHINE learning, RECURSION theory

Combination of Hybrid Artificial Neural Networks with Particle Swarm Optimization Algorithm for SPEI Forecasting.

Autoren: Jakubcová, Michala Máca, Petr Hanel, Martin et al.

Quelle: Journal of Hydrometeorology; Nov2025, Vol. 26 Issue 11, p1775-1793, 19p

4D trajectory lightweight prediction algorithm based on knowledge distillation technique.

Autoren: Tang, Weizhen Dai, Jie Huang, Zhousheng et al.

Quelle: Frontiers in Neurorobotics; 2025, p1-21, 21p

Schlagwörter: AIR traffic control, PREDICTION models, SPATIOTEMPORAL processes, REAL-time computing, KNOWLEDGE transfer, OPTIMIZATION algorithms

A New Variable Regularized QR Decomposition-Based Recursive Least M-Estimate Algorithm—Performance Analysis and Acoustic Applications.

Autoren: Chan, S. C. Chu, Y. J. Zhang, Z. G. et al.

Quelle: IEEE Transactions on Audio, Speech & Language Processing; May2013, Vol. 21 Issue 5, p907-922, 16p

Schlagwörter: ALGORITHMS, MATHEMATICAL decomposition, RECURSIVE functions, ADAPTIVE filters, STOCHASTIC convergence, RANDOM noise theory

A survey of decision-making and planning methods for self-driving vehicles.

Autoren: Hu, Jun Wang, Yuefeng Cheng, Shuai et al.

Quelle: Frontiers in Neurorobotics; 2025, p1-24, 24p

Schlagwörter: AUTONOMOUS vehicles, MACHINE learning, DECISION making, ALGORITHMS, ROBOTICS

An Overview of the Latest Developments and Potential Paths for Artificial Intelligence in Wastewater Treatment Systems.

Autoren: Sun, Wenquan Gao, Yun Zhou, Jun et al.

Quelle: Water (20734441); Aug2025, Vol. 17 Issue 16, p2432, 21p

Schlagwörter: ARTIFICIAL intelligence, WASTEWATER treatment, PROCESS optimization, WASTE treatment, DEEP learning, TECHNOLOGICAL innovations, ARTIFICIAL neural networks, WATER quality monitoring

The Improved-EFI Score: A Multi-Omics-Based Novel Efficacy Predictive Tool for Predicting the Natural Fertility of Endometriosis Patients.

Autoren: He, Qiumin Zhang, Chongyuan Hu, Yao et al.

Quelle: International Journal of General Medicine; Feb2025, Vol. 18, p881-895, 15p

Schlagwörter: MACHINE learning, DECISION trees, DECISION making, LAPAROSCOPIC surgery, PREGNANCY outcomes, CLINICAL prediction rules

AI-Enabled Membrane Bioreactors: A Review of Control Architectures and Operating-Parameter Optimization for Nitrogen and Phosphorus Removal.

Autoren: Xu, Mingze Liu, Di

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 19, p2899, 29p

Schlagwörter: NITROGEN removal (Sewage purification), PHOSPHATE removal (Sewage purification), BIOLOGICAL nutrient removal, BIOREACTORS, REGULATORY compliance, WASTEWATER treatment, ARTIFICIAL intelligence, FEEDBACK control systems

The 34th Anual Meeting of the Asian Pacific Association for the study of the liver.

Quelle: Hepatology International; 2025 Suppl 1, Vol. 19, p1-1554, 1554p

The Liver Meeting: 2025 Abstracts.

Quelle: Hepatology (02709139); 2025Supplement, Vol. 82, pS1-S2308, 2308p

Age of machine learning: new trends in autism spectrum disorder prediction.

Autoren: Xu, Weihong Li, Haibei Li, Junwen et al.

Quelle: Frontiers in Microbiology; 2025, p1-14, 14p

Schlagwörter: AUTISM spectrum disorders, MACHINE learning, GENETICS, ARTIFICIAL intelligence, RISK assessment, INDIVIDUALIZED medicine

Approximate and Exact Optimization Algorithms for the Beltway and Turnpike Problems with Duplicated, Missing, Partially Labeled, and Uncertain Measurements.

Autoren: Elder, C.S. Hoang, Minh Ferdosi, Mohsen et al.

Quelle: Journal of Computational Biology; Oct2024, Vol. 31 Issue 10, p908-926, 19p

Advancing Image Reconstruction in Diffuse Optical Tomography: An Overview of Regularization Methods.

Autoren: Siddalingaiah, Harish G. Jagannath, Ravi Prasad K. Prashanth, Gurusiddappa R.

Quelle: Sensing & Imaging; 5/14/2025, Vol. 26 Issue 1, p1-49, 49p

A Hybrid Recursive Implementation of Broad Learning With Incremental Features.

Autoren: Liu, Di Baldi, Simone Yu, Wenwu et al.

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Apr2022, Vol. 33 Issue 4, p1650-1662, 13p

Schlagwörter: BLENDED learning, INSTRUCTIONAL systems, SUPERVISED learning

Firma/Körperschaft: UNITED States. Bureau of Labor Statistics

Neural Correlates of Huntington's Disease Based on Electroencephalography (EEG): A Mechanistic Review and Discussion of Excitation and Inhibition (E/I) Imbalance.

Autoren: Chmiel, James Nadobnik, Jarosław Smerdel, Szymon et al.

Quelle: Journal of Clinical Medicine; Jul2025, Vol. 14 Issue 14, p5010, 53p

Schlagwörter: HUNTINGTON disease, ELECTROENCEPHALOGRAPHY, NEUROPHYSIOLOGY, MACHINE learning, BIOMARKERS, NEURAL circuitry

Rumen microbiome nutriomics: Harnessing omics technologies for enhanced understanding of rumen microbiome functions and ruminant nutrition.

Autoren: Yu, Zhongtang Yan, Ming Wang, Jiakun

Quelle: Animal Nutriomics. 2024, Vol. 1, p1-11. 11p.

Water Flow Prediction Based on Improved Spatiotemporal Attention Mechanism of Long Short-Term Memory Network.

Autoren: Hu, Wenwen Yu, Yongchuan Yan, Jianzhuo et al.

Quelle: Water (20734441); Jun2024, Vol. 16 Issue 11, p1600, 18p

Schlagwörter: STANDARD deviations, HYDROLOGICAL stations, METEOROLOGICAL stations, WATER diversion, HYDRAULICS, STREAM-gauging stations

An Overview of Speech Enhancement Based on Deep Learning Techniques.

Autoren: Jannu, Chaitanya Vanambathina, Sunny Dayal

Quelle: International Journal of Image & Graphics; Jan2025, Vol. 25 Issue 1, p1-51, 51p

Survey and Evaluation of Neural 3D Shape Classification Approaches.

Autoren: Mirbauer, Martin Krabec, Miroslav Krivanek, Jaroslav et al.

Quelle: IEEE Transactions on Pattern Analysis & Machine Intelligence; Nov2022, Vol. 44 Issue 11, p8635-8656, 22p

Schlagwörter: ARTIFICIAL neural networks, MACHINE learning, OBJECT recognition (Computer vision), CLASSIFICATION, GEOMETRIC shapes, COMPUTER graphics, CLASSIFICATION algorithms

Exploring an online learning burnout assessment model based on learning behavior data.

Autoren: Li, Dong Sun, Qiuyun Feng, Yiran

Quelle: Current Psychology; Sep2024, Vol. 43 Issue 36, p29108-29121, 14p

Schlagwörter: SELF-contained classrooms, CLASSROOM environment, PSYCHOLOGICAL burnout, SOCIAL interaction, COLLEGE majors, ONLINE education, MASLACH Burnout Inventory