Results 71 to 80 of about 286,084 (291)
Water Resources ResearchThis study presents an innovative approach to risk‐aware decision‐making in water resource management. We focus on a case study in the Netherlands, where risk awareness is key to water system design and policy‐making.
Ties van derHeijden +4 more
doaj +1 more source
Journal of Marine Science and EngineeringAccurate wind information is essential for safe and efficient port operations, yet many small and medium-sized coastal ports lack dense meteorological instrumentation. This paper presents a data-driven framework for wind speed prediction at such ports by
Anastasios Giannopoulos +3 more
doaj +1 more source
, 2023 In this paper, we study arbitrary infinite binary information systems each of which consists of an infinite set called universe and an infinite set of two-valued functions (attributes) defined on the universe. We consider the notion of a problem over information system, which is described by a finite number of attributes and a mapping associating a ...
Durdymyradov, Kerven, Moshkov, Mikhail
openaire +2 more sources
Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach
Advanced Intelligent Discovery, EarlyView.This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar +5 more
wiley +1 more source
An auditable no-code platform for building and evaluating hybrid conversational agents
Journal of Information and TelecommunicationWhile Large Language Models (LLMs) have advanced conversational agents, creating reliable, governable chatbots remains a specialized task, often inaccessible to non-programmers.
Binh Vu +3 more
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Heuristic optimization methods for linear ordering of automata [PDF]
Известия Саратовского университета. Новая серия: Математика. Механика. ИнформатикаThe rapid development of society is associated with two key areas of science and technology: methods of working with Big Data and Artificial Intelligence.
Farakhutdinov, Renat Abuhanovich
doaj +1 more source
Reliability estimation of healthcare systems using Fuzzy Decision Trees
Conference on Computer Science and Information Systems, 2016 Reliability is an important characteristic of any system. Healthcare systems are typical examples of such systems. In reliability engineering, such systems are considered as complex, inhomogeneous, and uncertain, and require special mathematical ...
E. Zaitseva +3 more
semanticscholar +1 more source
Submodularity and Optimality of Fusion Rules in Balanced Binary Relay Trees
, 2012 We study the distributed detection problem in a balanced binary relay tree, where the leaves of the tree are sensors generating binary messages. The root of the tree is a fusion center that makes the overall decision.
Chong, Edwin K. P. +4 more
core +1 more source
Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis
Advanced Intelligent Systems, EarlyView.A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang +3 more
wiley +1 more source