Výsledky vyhľadávania - nonlinear programming cutting pine algorithms sequential linear programming*

A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification.

Autori: Sangeetha, V. Agilandeeswari, L.

Zdroj: Scientific Reports; 7/31/2025, Vol. 15 Issue 1, p1-15, 15p

Predmety: HYPERSPECTRAL imaging systems, AUTOENCODERS, DIMENSIONAL reduction algorithms, IMAGE recognition (Computer vision), REFLECTANCE, REMOTE sensing, ALBEDO, DATA analysis

Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review.

Autori: Zou, Jinlin Qu, Hongwei Zhang, Peng

Zdroj: Remote Sensing; Sep2025, Vol. 17 Issue 17, p2968, 44p

Predmety: DEEP learning, REMOTE sensing, ALGORITHMS, METADATA, IMAGE processing, IMAGE reconstruction algorithms

Novel control strategies and iterative approaches to order various COVID-19 vaccines to prevent shortages and immunisation expansion.

Autori: Hosseini-Motlagh, Seyyed-Mahdi Ghatreh Samani, Mohammad Reza Farokhnejad, Parnian

Zdroj: International Journal of Production Research; Jan2025, Vol. 63 Issue 2, p524-554, 31p

Predmety: COVID-19 pandemic, VACCINE effectiveness, COVID-19 vaccines, NETWORK performance, MASS production

A Novel Framework for Long-Term Forest Disturbance Monitoring: Synergizing the LandTrendr Algorithm with CNN in Northeast China.

Autori: Zheng, Zhaoyi Yu, Ying Yang, Xiguang a ďalší

Zdroj: Remote Sensing; Nov2025, Vol. 17 Issue 21, p3521, 25p

Predmety: CONVOLUTIONAL neural networks, REMOTE sensing, ECOSYSTEM dynamics, FOREST monitoring, CARBON cycle, FOREST degradation

Geografický termín: NORTHEAST China Plain (China)

Comparison of Artificial Intelligence Algorithms and Remote Sensing for Modeling Pine Bark Beetle Susceptibility in Honduras.

Autori: Orellana, Omar Sandoval, Marco Zagal, Erick a ďalší

Zdroj: Remote Sensing; Mar2025, Vol. 17 Issue 5, p912-1, 29p

Predmety: BARK beetles, FOREST monitoring, ARTIFICIAL intelligence, CONIFEROUS forests, TROPICAL forests

Innovative deep learning architectures for medical image diagnosis: a comprehensive review of convolutional, recurrent, and transformer models.

Autori: Ghribi, Fathia Hamdaoui, Fayçal

Zdroj: Visual Computer; Oct2025, Vol. 41 Issue 13, p11603-11628, 26p

Predmety: DEEP learning, CONVOLUTIONAL neural networks, RECURRENT neural networks, TRANSFORMER models, IMAGE segmentation, COMPUTER-assisted image analysis (Medicine), CLASSIFICATION algorithms, KNOWLEDGE transfer

A survey of detection techniques for sperm whale and dolphin echolocation clicks.

Autori: Gracic, Mak Gubnitsky, Guy Diamant, Roee

Zdroj: Frontiers in Marine Science; 2025, p1-32, 32p

Predmety: SPERM whale, DOLPHINS, SONAR, MACHINE learning, MARINE ecology, SIGNAL processing, BIOINDICATORS, DETECTION algorithms

AI for Wildfire Management: From Prediction to Detection, Simulation, and Impact Analysis—Bridging Lab Metrics and Real-World Validation.

Autori: Caron, Nicolas Noura, Hassan N. Nakache, Lise a ďalší

Zdroj: AI; Oct2025, Vol. 6 Issue 10, p253, 90p

Predmety: ARTIFICIAL intelligence, WILDFIRE prevention, SOCIAL impact assessment, COMPUTER simulation, DETECTION algorithms, CONTEXTUAL analysis, FORECASTING

A Thorough Examination Of Deep Learning And Evolutionary Methods In Hyperspectral Image Processing.

Autori: Prasad, B. V. V. Siva Murthy, G. Vishnu Kumar, D. Ramana a ďalší

Zdroj: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p266-279, 14p

Predmety: DEEP learning, EVOLUTIONARY algorithms, IMAGE processing, REMOTE sensing, TECHNOLOGICAL progress, HYPERSPECTRAL imaging systems, MACHINE learning

Trends and Applications of Principal Component Analysis in Forestry Research: A Literature and Bibliometric Review.

Autori: Murariu, Gabriel Dinca, Lucian Munteanu, Dan

Zdroj: Forests (19994907); Jul2025, Vol. 16 Issue 7, p1155, 24p

Predmety: PRINCIPAL components analysis, FORESTS & forestry, ENVIRONMENTAL sciences, BIODIVERSITY conservation, DIMENSIONAL reduction algorithms, DATA analysis, BIBLIOMETRICS, ENVIRONMENTAL monitoring

Recent progress in neuromorphic computing based on spin–orbit torque devices.

Autori: Liang, Qi Huang, Yujie Tan, Yinlong a ďalší

Zdroj: Journal of Physics D: Applied Physics; 2025, Vol. 58 Issue 44, p1-29, 29p

Predmety: NEUROMORPHICS, SPINTRONICS, NEURONS, ARTIFICIAL neural networks, SPIN-orbit interactions, SYNAPSES, HARDWARE

Tool condition monitoring strategies from metal cutting: insights for optimizing wood-based material processing.

Autori: Chen, Yu-tang Tian, Jiao-hao Guo, Xiao-lei a ďalší

Zdroj: European Journal of Wood & Wood Products / Holz als Roh- und Werkstoff; Feb2025, Vol. 83 Issue 1, p1-22, 22p

Quantitative Techniques for Sustainable Decision Making in Forest-to-Lumber Supply Chain: A Systematic Review.

Autori: Mena-Reyes, Jorge Félix Vergara, Francisco Linfati, Rodrigo a ďalší

Zdroj: Forests (19994907); Feb2024, Vol. 15 Issue 2, p297, 32p

Predmety: SUPPLY chains, DECISION making, FORESTS & forestry, SCIENCE databases, WEB databases, MATHEMATICAL programming

A Comprehensive Review of Optical Metrology and Perception Technologies.

Autori: Shan, Shuonan Zhao, Fangyuan Li, Zinan a ďalší

Zdroj: Sensors (14248220); Nov2025, Vol. 25 Issue 22, p6811, 61p

Predmety: INTERFEROMETRY, IMAGING systems, SPECTROMETRY, MEASUREMENT, PHOTOMETRY, METROLOGY, LASER measurement

Parameter Estimation in Land Surface Models: Challenges and Opportunities With Data Assimilation and Machine Learning.

Autori: Raoult, Nina Douglas, Natalie MacBean, Natasha a ďalší

Zdroj: Journal of Advances in Modeling Earth Systems; Nov2025, Vol. 17 Issue 11, p1-42, 42p

Predmety: DATA assimilation, MACHINE learning, PARAMETER estimation, HYDROLOGIC models, CARBON cycle, ECOSYSTEM dynamics, CLIMATE change

The use of cellular automaton approach in forest planning.

Autori: Heinonen, Tero Pukkala, Timo

Zdroj: Canadian Journal of Forest Research; Nov2007, Vol. 37 Issue 11, p2188-2200, 12p, 1 Black and White Photograph, 5 Diagrams, 4 Graphs

Predmety: CELLULAR automata, FOREST management, MATHEMATICAL optimization, LINEAR programming, REGENERATION (Botany), FORESTS & forestry, HEXAGONS, DISPERSION (Chemistry), SEQUENTIAL analysis

From Regression to Machine Learning: Modeling Height–Diameter Relationships in Crimean Juniper Stands Without Calibration Overhead.

Autori: Diamantopoulou, Maria J. Özçelik, Ramazan Eler, Ünal a ďalší

Zdroj: Forests (19994907); Jun2025, Vol. 16 Issue 6, p972, 27p

Predmety: MACHINE learning, STANDARD deviations, QUANTILE regression, RANDOM forest algorithms, FOREST management

Impacts of Permeability Uncertainty in a Coupled Surface‐Subsurface Flow Model Under Perturbed Recharge Scenarios.

Autori: Engdahl, Nicholas B.

Zdroj: Water Resources Research; Mar2024, Vol. 60 Issue 3, p1-16, 16p

Predmety: MOUNTAIN watersheds, HYDROLOGIC models, PERMEABILITY, PARALLEL programming, MONTE Carlo method

ESICM LIVES 2025.

Zdroj: Intensive Care Medicine Experimental; 11/23/2025, Vol. 13 Issue 1, p1-863, 863p

Predmety: HALLUCINATIONS, NATURAL language processing, NEUROBEHAVIORAL disorders, CRITICALLY ill patient care, ANTIPSYCHOTIC agents, KETAMINE, INTENSIVE care units

Neural Architecture Search for Hyperspectral Image Classification: A Comprehensive Review and Future Perspectives.

Autori: Wang, Aili Liu, Xinyu Zhang, Kang a ďalší

Zdroj: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2727, 44p

Predmety: DEEP learning, CONVOLUTIONAL neural networks, SPECTRAL imaging, FEATURE extraction, MACHINE learning, REMOTE sensing