Results 81 to 90 of about 286,084 (291)
, 2009 Many studies on animal and human movement patterns report the existence of scaling laws and power-law distributions. Whereas a number of random walk models have been proposed to explain observations, in many situations individuals actually rely on mental
Belik V V +5 more
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Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
Advanced Intelligent Systems, EarlyView.This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
Monitoring land cover dynamics in the Bahr Al-Najaf wetland: A transferable remote sensing framework for inland and coastal wetland management (2002–2025) [PDF]
Estuarine Management and TechnologiesThe Bahr Al-Najaf depression is a unique geological and ecological feature in Iraq that has undergone significant environmental transformations over the past two decades. This study quantifies the spatiotemporal dynamics of Land Use and Land Cover (LULC)
Emad A. Al Helaly +2 more
doaj +3 more sources
Non-Local Probes Do Not Help with Graph Problems
, 2015 This work bridges the gap between distributed and centralised models of computing in the context of sublinear-time graph algorithms. A priori, typical centralised models of computing (e.g., parallel decision trees or centralised local algorithms) seem to
Göös, Mika +4 more
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Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Revista Brasileira de Fruticultura, 2015 The traditional method of net present value (NPV) to analyze the economic profitability of an investment (based on a deterministic approach) does not adequately represent the implicit risk associated with different but correlated input variables. Using a
GERMÁN LOBOS +4 more
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Quantization of Binary-Input Discrete Memoryless Channels
, 2014 The quantization of the output of a binary-input discrete memoryless channel to a smaller number of levels is considered. An algorithm which finds an optimal quantizer, in the sense of maximizing mutual information between the channel input and the ...
Kurkoski, Brian M., Yagi, Hideki
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Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Early warning system for coffee rust disease based on error correcting output codes: a proposal
Revista Ingenierías Universidad de Medellín, 2014 Colombian coffee producers have had to face the severe consequences of the coffee rust disease since it was first reported in the country in 1983. Recently, machine learning researchers have tried to predict infection through classifiers such as decision
David Camilo Corrales +4 more
doaj
Cognitive biases and rational decision making for volcanic hazards and risks
Frontiers in Earth ScienceVolcanic systems are governed by complex, non-linear dynamics that make deterministic forecasting impossible and require decisions to be made under substantial uncertainty.
Paolo Papale
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