Suchergebnisse - nonlinear programming cutting (pine OR pane) algorithms sequential linear programming*

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

Autoren: Sangeetha, V. Agilandeeswari, L.

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

Schlagwörter: 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.

Autoren: Zou, Jinlin Qu, Hongwei Zhang, Peng

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

Schlagwörter: 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.

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

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

Schlagwörter: 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.

Autoren: Zheng, Zhaoyi Yu, Ying Yang, Xiguang et al.

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

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

Geografische Kategorien: NORTHEAST China Plain (China)

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

Autoren: Ghribi, Fathia Hamdaoui, Fayçal

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

Schlagwörter: 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.

Autoren: Gracic, Mak Gubnitsky, Guy Diamant, Roee

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

Schlagwörter: 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.

Autoren: Caron, Nicolas Noura, Hassan N. Nakache, Lise et al.

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

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

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

Autoren: Orellana, Omar Sandoval, Marco Zagal, Erick et al.

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

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

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

Autoren: Prasad, B. V. V. Siva Murthy, G. Vishnu Kumar, D. Ramana et al.

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

Schlagwörter: 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.

Autoren: Murariu, Gabriel Dinca, Lucian Munteanu, Dan

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

Schlagwörter: 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.

Autoren: Liang, Qi Huang, Yujie Tan, Yinlong et al.

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

Schlagwörter: 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.

Autoren: Chen, Yu-tang Tian, Jiao-hao Guo, Xiao-lei et al.

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

A Comprehensive Review of Optical Metrology and Perception Technologies.

Autoren: Shan, Shuonan Zhao, Fangyuan Li, Zinan et al.

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

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

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

Autoren: Raoult, Nina Douglas, Natalie MacBean, Natasha et al.

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

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

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

Autoren: Diamantopoulou, Maria J. Özçelik, Ramazan Eler, Ünal et al.

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

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

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

Autoren: Mena-Reyes, Jorge Félix Vergara, Francisco Linfati, Rodrigo et al.

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

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

ESICM LIVES 2025.

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

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

Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.

Autoren: Ki, Mi-Ran Kim, Dong Hyun Abdelhamid, Mohamed A. A. et al.

Quelle: Biosensors (2079-6374); Nov2025, Vol. 15 Issue 11, p737, 122p

Schlagwörter: AGING, BIOMARKERS, BIOPSY, MULTIOMICS, TUMORS, DIAGNOSTIC equipment, ARTIFICIAL intelligence, EARLY diagnosis

An overview of traditional and advanced methods to detect part defects in additive manufacturing processes.

Autoren: Bhandarkar, Vivek V. Shahare, Harshal Y. Mall, Anand Prakash et al.

Quelle: Journal of Intelligent Manufacturing; Oct2025, Vol. 36 Issue 7, p4411-4446, 36p

Schlagwörter: THREE-dimensional printing, MACHINE learning, DEEP learning, INDUSTRIAL applications, FAULT diagnosis

The Liver Meeting: 2025 Abstracts.

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