Výsledky vyhledávání - sequential post squares programming algorithm*

Sequential hierarchical least-squares programming for prioritized non-linear optimal control.

Autoři: Pfeiffer, Kai Kheddar, Abderrahmane

Zdroj: Optimization Methods & Software; Oct2024, Vol. 39 Issue 5, p1104-1142, 39p

Témata: INTERIOR-point methods, QUADRATIC programming, INVERSE problems, ALGORITHMS, MATRICES (Mathematics)

A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction.

Autoři: Zhang, Yiwen Lahmiri, Salim

Zdroj: Entropy; Nov2025, Vol. 27 Issue 11, p1122, 18p

Témata: DEEP learning, ENSEMBLE learning, PETROLEUM sales & prices, ENERGY consumption, BOOSTING algorithms, CONVOLUTIONAL neural networks, MATHEMATICAL optimization, LONG short-term memory

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

Autoři: Remache, Abel Pérez-Sánchez, Modesto Hidalgo, Víctor Hugo a další

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

Témata: 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.

Autoři: Guo, Shuhao Lin, Jiaxun Zhang, Yingjun a další

Zdroj: 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.

Autoři: Liu, Ziqi Zhu, Dejun Li, Danxun

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

Témata: 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.

Autoři: Razavi-Termeh, Seyed Vahid Sadeghi-Niaraki, Abolghasem Abba, Sani I. a další

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

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

Data-Driven Yield Improvement in Upstream Bioprocessing of Monoclonal Antibodies: A Machine Learning Case Study.

Autoři: Strüssmann, Breno Renato de Queiroz, Anderson Rodrigo Hvam, Lars

Zdroj: Processes; Nov2025, Vol. 13 Issue 11, p3394, 18p

Témata: MONOCLONAL antibodies, MACHINE learning, PREDICTION models, REGRESSION analysis, EMPIRICAL research, INDUSTRIAL efficiency, BIOENGINEERING, BIOCHEMICAL engineering

Marginalizing Sample Consensus.

Autoři: Barath, Daniel Noskova, Jana Matas, Jiri

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

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

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

Autoři: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar a další

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

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

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

Autoři: Guarnido-Lopez, P Pi, Y Tao, J a další

Zdroj: 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.

Autoři: Zhu, Yunfu Xia, Bing Huang, Jianying a další

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

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

Geografický termín: NANCHANG (China), CHINA

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

Autoři: Lei, Ke Zhang, Lele Gao, Liming

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

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

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

Autoři: Chidambaram, S. Ramesh, S. Geetha, S. a další

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

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

Autoři: Ngo, Kaitlyn Mekhail, Simone Chan, Virginia a další

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

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

Autoři: Dong, HanTang Wang, Yong Miao, Duoqian

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

DIALOGUE: A Generative AI-Based Pre–Post Simulation Study to Enhance Diagnostic Communication in Medical Students Through Virtual Type 2 Diabetes Scenarios.

Autoři: Suárez-García, Ricardo Xopan Chavez-Castañeda, Quetzal Orrico-Pérez, Rodrigo a další

Zdroj: European Journal of Investigation in Health, Psychology & Education (EJIHPE); Aug2025, Vol. 15 Issue 8, p152, 24p

Témata: GENERATIVE artificial intelligence, MEDICAL education, TYPE 2 diabetes, SOCIAL skills, SELF-efficacy, MEDICAL communication, DIGITAL computer simulation, ACADEMIC achievement

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

Autoři: Pirone, Dina Cimorelli, Luigi D'Aniello, Andrea a další

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

Témata: 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.

Autoři: Arthur, Benjamin J. Kim, Christopher M. Susu Chen a další

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

Témata: 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.

Autoři: Merca, Carolina Sorin-Dupont, Baptiste Kristensen, Anders Ringgaard a další

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

Témata: 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.

Autoři: Ancuceanu, Robert Lascu, Beatrice Elena Drăgănescu, Doina a další

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

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