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

The Liver Meeting: 2025 Abstracts.

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

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

ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics^,.

Autoren: Tedeschi, Luis O¹

Quelle: Journal of Animal Science. May2019, Vol. 97 Issue 5, p1921-1944. 24p.

Schlagworte: Artificial intelligence, Computer programming, Deep learning, Machine learning, Mathematical models, Simulation methods & models

A trust region SQP algorithm for mixed-integer nonlinear programming.

Autoren: Exler, Oliver Schittkowski, Klaus

Quelle: Optimization Letters; Jun2007, Vol. 1 Issue 3, p269-280, 12p

Qualitative Topics in Integer Linear Programming

Autoren: V. N. Shevchenko

Resource Type: eBook.

Schlagworte: Linear programming

Categories: MATHEMATICS / Linear & Nonlinear Programming

Engines of Order : A Mechanology of Algorithmic Techniques

Autoren: Bernhard Rieder

Resource Type: eBook.

Categories: COMPUTERS / Information Theory, COMPUTERS / Programming / Algorithms, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General, PHILOSOPHY / Epistemology

Bibliography in fractional programming.

Autoren: Schaible, S.

Quelle: ZOR: Mathematical Methods of Operations Research; Dec1982, Vol. 26 Issue 1, p211-241, 31p

Genetic Algorithms and Genetic Programming : Modern Concepts and Practical Applications

Autoren: Michael Affenzeller Stefan Wagner Stephan Winkler et al.

Resource Type: eBook.

Schlagworte: Programming (Mathematics), Evolutionary computation, Algorithms, Combinatorial optimization, Computer algorithms

Categories: COMPUTERS / Programming / Games, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Programming / Algorithms, MATHEMATICS / Number 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)

Programming Languages and Systems : 30th European Symposium on Programming, ESOP 2021, Held As Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 – April 1, 2021, Proceedings

Autoren: Nobuko Yoshida

Resource Type: eBook.

Schlagworte: Programming languages (Electronic computers)--Congresses, Computer programming--Congresses, Natural language processing (Computer science)

Categories: COMPUTERS / Programming / Compilers, COMPUTERS / Computer Science, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Hardware / General, COMPUTERS / Speech & Audio Processing

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