Suchergebnisse - nonlinear programming cutting pine algorithms sequential linear programming

The use of cellular automaton approach in forest planning.

Autoren: Heinonen, Tero Pukkala, Timo

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

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

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

Autoren: Engdahl, Nicholas B.

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

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

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

Program Abstracts from the GSA 2024 Annual Scientific Meeting, “The Fortitude Factor”.

Quelle: Innovation in Aging; 2024 Supplement, Vol. 8, p1-1377, 1377p

An Extensive Review of Leaching Models for the Forecasting and Integrated Management of Surface and Groundwater Quality.

Autoren: Giakoumatos, Stephanos D. V. Siontorou, Christina Sidiras, Dimitrios

Quelle: Water (20734441); Dec2024, Vol. 16 Issue 23, p3348, 57p

Schlagwörter: GROUNDWATER management, GROUNDWATER quality, WATER table, WATER management, ROOT crops

Explaining the Mechanism of Multiscale Groundwater Drought Events: A New Perspective From Interpretable Deep Learning Model.

Autoren: Cai, Hejiang Shi, Haiyun Zhou, Zhaoqiang et al.

Quelle: Water Resources Research; Jul2024, Vol. 60 Issue 7, p1-30, 30p

Schlagwörter: DEEP learning, GROUNDWATER, DROUGHTS, GROUNDWATER analysis, DROUGHT forecasting, LONG-term memory

Using Mixed Integer Goal Programming in Final Yield Harvest Planning: A Case Study from the Mediterranean Region of Turkey.

Autoren: Demirci, Mehmet Yeşil, Ahmet Bettinger, Pete

Quelle: Forests (19994907); Jul2020, Vol. 11 Issue 7, p744, 1p

Schlagwörter: INTEGER programming, GOAL programming, FOREST management, LINEAR programming, WOOD products, PRODUCTION planning

Geografische Kategorien: TURKEY

A review of operations research models in invasive species management: state of the art, challenges, and future directions.

Autoren: Büyüktahtakın, İ. Esra Haight, Robert G.

Quelle: Annals of Operations Research; Dec2018, Vol. 271 Issue 2, p357-403, 47p

Schlagwörter: INTRODUCED species, DECISION making, BIOLOGICAL invasions, ECOLOGY, MATHEMATICAL models

Open Forum Infectious Diseases.

Quelle: Open Forum Infectious Diseases; 2023 Supplement, Vol. 10, pS1-S1274, 3913p

Schlagwörter: URINARY tract infections, SYPHILIS, COMMUNICABLE diseases, FORUMS, CLINICAL decision support systems

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)

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

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

Machine Learning for Bioelectronics on Wearable and Implantable Devices: Challenges and Potential.

Autoren: Goh, Guo Dong Lee, Jia Min Goh, Guo Liang et al.

Quelle: Tissue Engineering Part A: Tissue Engineering; Jan2023, Vol. 29 Issue 1/2, p20-46, 27p

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

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