Results 41 to 50 of about 1,290,938 (334)
Large Language Models Facilitate the Generation of Electronic Health Record Phenotyping Algorithms
medRxiv, 2023 Objectives: Phenotyping is a core task in observational health research utilizing electronic health records (EHRs). Developing an accurate algorithm typically demands substantial input from domain experts, involving extensive literature review and ...
Chao Yan +12 more
semanticscholar +1 more source
Applications of Artificial Intelligence Algorithms in the Energy Sector
Energies, 2022 The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent energy management, and distributed energy integration poses new requirements for computer science.
Hubert Szczepaniuk +1 more
doaj +1 more source
ACM Trans. Hum. Robot Interact., 2022 The growth of scale and complexity of interactions between humans and robots highlights the need for new computational methods to automatically evaluate novel algorithms and applications.
Matthew C. Fontaine, S. Nikolaidis
semanticscholar +1 more source
Generalized swarm intelligence algorithms with domain-specific heuristics
IAES International Journal of Artificial Intelligence (IJ-AI), 2021 <span lang="EN-US">In recent years, hybrid approaches on population-based algorithms are more often applied in industrial settings. In this paper, we present the approach of a combination of universal, problem-free Swarm Intelligence (SI) algorithms with simple deterministic domain-specific heuristic algorithms.
Matrenin, P. +6 more
openaire +4 more sources
IEEE Access, 2023 The Slime Mould Algorithm (SMA) has gained significant attention from researchers due to its powerful multi-point search capability and its simple and practical structure. Several advanced versions of SMA have been proposed.
Xuebing Cai, Zengyu He, Fei Cheng
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Domain Generalization by Marginal Transfer Learning
, 2020 In the problem of domain generalization (DG), there are labeled training data sets from several related prediction problems, and the goal is to make accurate predictions on future unlabeled data sets that are not known to the learner. This problem arises
Blanchard, Gilles +4 more
core +2 more sources
From a Domain Analysis to the Specification and Detection of Code and Design Smells [PDF]
, 2009 Code and design smells are recurring design problems in software systems that must be identified to avoid their possible negative consequences\ud on development and maintenance.
Duchien, Laurence +4 more
core +4 more sources
Detecting algorithmically generated malicious domain names
Proceedings of the 10th ACM SIGCOMM conference on Internet measurement, 2010 Recent Botnets such as Conficker, Kraken and Torpig have used DNS based “domain fluxing” for command-and-control, where each Bot queries for existence of a series of domain names and the owner has to register only one such domain name. In this paper, we develop a methodology to detect such “domain fluxes” in DNS traffic by looking for patterns inherent to ...
Yadav, Sandeep +3 more
openaire +2 more sources
Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge
, 2021 Solar energy constitutes an effective supplement to traditional energy sources. However, photovoltaic power generation (PVPG) is strongly weather-dependent, and thus highly intermittent.
Xing Luo, Dongxiao Zhang, Xu Zhu
semanticscholar +1 more source
State of Art in Genetic Algorithms for Agricultural Systems
Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2010 Genetic algorithms are built as abstract populations of a number of candidate solutions, each of it being evaluated for accomplish a desired performance. Populations evolve from one generation to another through mutation, crossover and selection in order
Sorana D. BOLBOACĂ +4 more
doaj +1 more source