Suchergebnisse - Sequential post squares programming algorithm~

Hybrid Optimization Approaches for Impeller Design in Turbomachinery: Methods, Metrics, and Design Strategies.

Autoren: Remache, Abel Pérez-Sánchez, Modesto Hidalgo, Víctor Hugo et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 13, p1976, 35p

Schlagwörter: COMPUTATIONAL fluid dynamics, FINITE element method, RESPONSE surfaces (Statistics), MATHEMATICAL programming, CENTRIFUGAL pumps, MACHINE learning, TURBOMACHINES, EVOLUTIONARY algorithms

Enhancing the data processing speed of a deep-learning-based three-dimensional single molecule localization algorithm (FD-DeepLoc) with a combination of feature compression and pipeline programming.

Autoren: Guo, Shuhao Lin, Jiaxun Zhang, Yingjun et al.

Quelle: Journal of Innovative Optical Health Sciences; Mar2025, Vol. 18 Issue 2, p1-11, 11p

Spatiotemporal Flood Prediction From Single Frame Input With a Post‐Processing Method.

Autoren: Liu, Ziqi Zhu, Dejun Li, Danxun

Quelle: Water Resources Research; Sep2025, Vol. 61 Issue 9, p1-14, 14p

Schlagwörter: FLOOD forecasting, SPATIOTEMPORAL processes, DEEP learning, CONVOLUTIONAL neural networks, HYDRODYNAMICS, FORECASTING

Enhancing spatial prediction of groundwater-prone areas through optimization of a boosting algorithm with bio-inspired metaheuristic algorithms.

Autoren: Razavi-Termeh, Seyed Vahid Sadeghi-Niaraki, Abolghasem Abba, Sani I. et al.

Quelle: Applied Water Science; Nov2024, Vol. 14 Issue 11, p1-25, 25p

Schlagwörter: METAHEURISTIC algorithms, STANDARD deviations, BOOSTING algorithms, RECEIVER operating characteristic curves, ARTIFICIAL intelligence

Marginalizing Sample Consensus.

Autoren: Barath, Daniel Noskova, Jana Matas, Jiri

Quelle: IEEE Transactions on Pattern Analysis & Machine Intelligence; Nov2022, Vol. 44 Issue 11, p8420-8432, 13p

Schlagwörter: SOURCE code, C++, PYTHON programming language, DECISION making, ALGORITHMS

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoren: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Quelle: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Schlagworte: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

Computer vision algorithms to help decision-making in cattle production.

Autoren: Guarnido-Lopez, P Pi, Y Tao, J et al.

Quelle: Animal Frontiers. Dec2024, Vol. 14 Issue 6, p11-22. 12p.

Automatic Detection System for Rainfall-Induced Shallow Landslides in Southeastern China Using Deep Learning and Unmanned Aerial Vehicle Imagery.

Autoren: Zhu, Yunfu Xia, Bing Huang, Jianying et al.

Quelle: Water (20734441); Aug2025, Vol. 17 Issue 15, p2349, 22p

Schlagwörter: DEEP learning, LANDSLIDES, HIGH resolution imaging, REAL-time control, DRONE aircraft, DETECTION algorithms, ENVIRONMENTAL risk assessment

Geografische Kategorien: NANCHANG (China), CHINA

Early Detection of Cardiovascular Disease Using AdaBoost Convolutional Random Arithmetic Trigonometric Algorithm.

Autoren: Chidambaram, S. Ramesh, S. Geetha, S. et al.

Quelle: Cognitive Computation; Dec2025, Vol. 17 Issue 6, p1-21, 21p

Evaluation of IMERG Precipitation Product Downscaling Using Nine Machine Learning Algorithms in the Qinghai Lake Basin.

Autoren: Lei, Ke Zhang, Lele Gao, Liming

Quelle: Water (20734441); Jun2025, Vol. 17 Issue 12, p1776, 26p

Schlagwörter: MACHINE learning, DOWNSCALING (Climatology), STANDARD deviations, WATERSHEDS, TRANSFORMER models, RAIN gauges

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

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

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

Improved YOLOv10-based real-time helmet detection algorithm for complex scenarios.

Autoren: Dong, HanTang Wang, Yong Miao, Duoqian

Quelle: Journal of Real-Time Image Processing; Dec2025, Vol. 22 Issue 6, p1-14, 14p

A Novel Generalized Semi‐Analytical Approach for Flood Control Reservoir Design.

Autoren: Pirone, Dina Cimorelli, Luigi D'Aniello, Andrea et al.

Quelle: Water Resources Research; Aug2025, Vol. 61 Issue 8, p1-20, 20p

Schlagwörter: FLOOD control, OPTIMIZATION algorithms, SCIENTIFIC method, WATER management, FLOODPLAIN management, RUNOFF analysis, RUNOFF models

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks.

Autoren: Arthur, Benjamin J. Kim, Christopher M. Susu Chen et al.

Quelle: Frontiers in Neuroinformatics; 2023, p1-8, 8p

Schlagwörter: ARTIFICIAL neural networks, RECURRENT neural networks, NERVOUS system, ALGORITHMS, NEURAL circuitry

Combining dynamic generalized linear models and mechanistic modelling to optimize treatment strategies against bovine respiratory disease.

Autoren: Merca, Carolina Sorin-Dupont, Baptiste Kristensen, Anders Ringgaard et al.

Quelle: Veterinary Research. 9/25/2025, Vol. 56 Issue 1, p1-13. 13p.

Schlagworte: Decision support systems, Cattle diseases, Epidemiological models, Animal welfare, Causal models, Medical protocols, Anti-infective agents, Disease susceptibility

In Silico ADME Methods Used in the Evaluation of Natural Products.

Autoren: Ancuceanu, Robert Lascu, Beatrice Elena Drăgănescu, Doina et al.

Quelle: Pharmaceutics; Aug2025, Vol. 17 Issue 8, p1002, 58p

Schlagwörter: NATURAL products, PHARMACOKINETICS, COMPUTER simulation, MOLECULAR models, PHARMACEUTICAL industry, ALGORITHMS, DRUG discovery

From pixels to cell types: a comprehensive review of computational methods for spatial transcriptomics deconvolution.

Autoren: Saqib, Jahanzeb Kim, Junil

Quelle: Genomics & Informatics; 10/31/2025, Vol. 23 Issue 1, p1-22, 22p

A Bibliometric-Systematic Literature Review (B-SLR) of Machine Learning-Based Water Quality Prediction: Trends, Gaps, and Future Directions.

Autoren: Muñoz-Alegría, Jeimmy Adriana Núñez, Jorge Oyarzún, Ricardo et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2994, 36p

Schlagwörter: MACHINE learning, GROUNDWATER quality, BIBLIOMETRICS, ENSEMBLE learning, CONTENT analysis, DEEP learning, TREND analysis

Smart Pregnancy : AI-Driven Approaches to Personalised Maternal and Foetal Health—A Scoping Review.

Autoren: Correia, Vera Mascarenhas, Teresa Mascarenhas, Miguel

Quelle: Journal of Clinical Medicine; Oct2025, Vol. 14 Issue 19, p6974, 47p

Schlagwörter: ARTIFICIAL intelligence, MATERNAL health, PREGNANCY complications, CLINICAL decision making, FETAL development, INDIVIDUALIZED medicine, OBSTETRICS, PREDICTION models

A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data.

Autoren: Ramos-Varela, Jose Manuel Cuevas-Tello, Juan C. Noyola, Daniel E.

Quelle: Computation; Apr2025, Vol. 13 Issue 4, p86, 22p

Schlagwörter: PREDICTION algorithms, DECISION support systems, RESPIRATORY infections, SOCIAL media, DISEASE outbreaks