Search Results - nonlinear programming cutting (pine OR pine) algorithms sequential linear programming

ESICM LIVES 2025.

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

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

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

Authors: Engdahl, Nicholas B.

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

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

The use of cellular automaton approach in forest planning.

Authors: Heinonen, Tero Pukkala, Timo

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

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

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

Source: 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.

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

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

Subject Terms: 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.

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

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

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

Open Forum Infectious Diseases.

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

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

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

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

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

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

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

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

Subject Terms: INTRODUCED species, DECISION making, BIOLOGICAL invasions, ECOLOGY, MATHEMATICAL models

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

Authors: Demirci, Mehmet Yeşil, Ahmet Bettinger, Pete

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

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

Geographic Terms: TURKEY

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

Authors: Sangeetha, V. Agilandeeswari, L.

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

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

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

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

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

Subject Terms: BARK beetles, FOREST monitoring, ARTIFICIAL intelligence, CONIFEROUS forests, TROPICAL forests

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

Authors: Zou, Jinlin Qu, Hongwei Zhang, Peng

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

Subject Terms: 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.

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

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

Subject Terms: 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.

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

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

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

Geographic Terms: NORTHEAST China Plain (China)

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

Authors: Ghribi, Fathia Hamdaoui, Fayçal

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

Subject Terms: 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.

Authors: Gracic, Mak Gubnitsky, Guy Diamant, Roee

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

Subject Terms: 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.

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

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

Subject Terms: 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.

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

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

Subject Terms: 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.

Authors: Murariu, Gabriel Dinca, Lucian Munteanu, Dan

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

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