Suchergebnisse - "intelligent algorithms"

Machine Learning in the National Economy

Autoren: Azamjon A. Usmonov

Quelle: Открытое образование (Москва), Vol 29, Iss 3, Pp 4-10 (2025)

Schlagwörter: education, machine learning, LC8-6691, data analysis, forecasting, regression, intelligent algorithms, economics, neural networks, risks, financial technologies, Special aspects of education

Zugangs-URL: https://doaj.org/article/b7d665a83ec2454aaa2abd3586e0a7ee

A New Maximum Power Point Tracking With a Combined Particle Swarm Optimization–Biogeography‐Based Optimization Algorithm for Photovoltaic System

Autoren: Seyed Mohammad Mehdi H. S. Aboutorabi Mohammad Sarvi

Quelle: Energy Science & Engineering, Vol 13, Iss 7, Pp 3714-3726 (2025)

Schlagwörter: Technology, modified particle swarm optimization, Science, photovoltaic systems, intelligent algorithms, maximum power point tracking, modified biogeography based optimization

Zugangs-URL: https://doaj.org/article/4afa1f9848c84155934ee8f507fd8e82

Fault location and isolation technology for power grid automation based on intelligent algorithms

Autoren: Qi Guo Fuhe Wang Suxia Cheng et al.

Quelle: Energy Informatics, Vol 8, Iss 1, Pp 1-26 (2025)

Schlagwörter: Power grid automation, Fault detection and isolation, Classification, Intelligent algorithms, Energy industries. Energy policy. Fuel trade, HD9502-9502.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2520-8942

Zugangs-URL: https://doaj.org/article/bd650c7bcf234c71a551605cf3916f6f

Optimizing river flow rate predictions: integrating cognitive approaches and meteorological insights

Autoren: Veysi Kartal Erkan Karakoyun Muhammed Ernur Akiner et al.

Quelle: Natural Hazards. 121:5729-5756

Schlagwörter: River flow rate, Time series forecasting, Meteorological data, Intelligent algorithms

Zugangs-URL: https://hdl.handle.net/20.500.12604/6108

Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee performance evaluation in multi-scale organizational networks

Autoren: Zhenlin Luo Kebin Lu

Quelle: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-29 (2025)

Schlagwörter: Hybrid intelligent algorithms, Employee performance evaluation, Deep learning, KPI methods, Fairness analysis, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2731-0809

Zugangs-URL: https://doaj.org/article/0db0918b57f4473987b7c763c5066adc

Comparative analysis of load balancing methods based on SDN/NFV

Autoren: O. Berestovenko

Quelle: Ìнформаційні технології та компʼютерна інженерія, Vol 22, Iss 1, Pp 124-133 (2025)

Schlagwörter: network functions virtualisation, intelligent algorithms, resource optimisation, hybrid structures, energy efficiency, Computer engineering. Computer hardware, TK7885-7895

Dateibeschreibung: electronic resource

Relation: https://itce.vn.ua/journals/t-22-1-2025/porivnyalny-analiz-metodiv-balansuvannya-navantazhennya-na-osnovi-sdn-nfv; https://doaj.org/toc/1999-9941; https://doaj.org/toc/2078-6387

Zugangs-URL: https://doaj.org/article/a7efc89fe8c749d695e72d647570ffef

Intelligent algorithm-based model for predicting mass transfer performance in CO2 absorption within a rotating packed bed

Autoren: Wei Zhang Hao Chen Ke Huang et al.

Quelle: Case Studies in Thermal Engineering, Vol 73, Iss , Pp 106662- (2025)

Schlagwörter: CO2 absorption, Intelligent algorithms, LSSVM model, Rotating packed bed, Mass transfer, Engineering (General). Civil engineering (General), TA1-2040

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214157X25009220; https://doaj.org/toc/2214-157X

Zugangs-URL: https://doaj.org/article/f8d016f72f8d48628f10c93006622afc

Structural edge damage detection based on wavelet transform and immune genetic algorithm

Autoren: Jianwei Zhao Zhuo Zhou Deqing Guan et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Schlagwörter: Edge effect, Fitting extension, Wavelet transform, Intelligent algorithms, Immune-genetic, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/62765b88ac574f71ad7d8ead18b3e502

Intelligent Algorithms for the Detection of Suspicious Transactions in Payment Data Management Systems Based on LSTM Neural Networks

Autoren: Abdinabi Mukhamadiyev Fayzullo Nazarov Sherzod Yarmatov et al.

Quelle: Sensors, Vol 25, Iss 21, p 6683 (2025)

Schlagwörter: payment systems, artificial intelligence, suspicious transaction, data reliability, neural network model, intelligent algorithms, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/21/6683; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/dc5eb59c6ee341b79d39ef4ad9abaab9

Leveraging Artificial Intelligence, Machine Learning, and Cloud-Based IT Integrations to Optimize Solar Power Systems and Renewable Energy Management

Autoren: Annapareddy, Venkata Narasareddy

Quelle: SSRN Electronic Journal.

Schlagwörter: Artificial Intelligence, Machine Learning, • Solar Power Systems, Renewable Energy Management, Climate Change, Physical Systems, General Purpose, Control Methods, Intelligent Algorithms, Open Questions, Algorithm−Data Co-Design, Facilitators, Climate Engineering, Synthesis, Electricity Markets, System Availability, Intelligent Systems, Atmospheric Node

SMVSNN: An Intelligent Framework for Anticancer Drug–Drug Interaction Prediction Utilizing Spiking Multi-view Siamese Neural Networks

Autoren: Guoliang Tan Yijun Liu Wujian Ye et al.

Schlagwörter: Neuroscience, Pharmacology, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synergistic drug combinations, previous computational methods, predicting potential ddis, overly direct concatenation, minimizing side effects, integrate latent information, increasingly replacing traditional, complementary drug actions, authoritative public databases, 19 drug interactions, fused features using, drug pair features, including 904 drugs, spiking neural perceptron, novel ddi analysis, 7730 ddi records, existing data encoding, drug pair data, traditional intelligent algorithms, intelligent algorithms, two drugs, spiking neurons, spiking multi, data science, processed features

Verfügbarkeit: https://doi.org/10.1021/acs.jcim.4c02205.s001
https://figshare.com/articles/journal_contribution/SMVSNN_An_Intelligent_Framework_for_Anticancer_Drug_Drug_Interaction_Prediction_Utilizing_Spiking_Multi-view_Siamese_Neural_Networks/29123461

Display Space and Distribution Visualization of Intelligent Algorithms and 3D Interactive Imaging Technology

Autoren: Li, Qing Ni, Longjiao Bai, Liu

Quelle: COMPUTING AND INFORMATICS; Vol. 43 No. 4 (2024): Computing and Informatics; 993–1011

Schlagwörter: imaging technology, 3D interaction, 0202 electrical engineering, electronic engineering, information engineering, intelligent algorithms, 02 engineering and technology, Space and distribution visualization

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.cai.sk/ojs/index.php/cai/article/view/2024_4_993

Integration of Solar Energy into Smart Grids: A Cost-Effective Framework for Sustainable Power Management

Autoren: Ali Raza Larik Rahool Rai Kashif Ahmed et al.

Quelle: International Journal of Economic and Environment Geology, Vol 15, Iss 2, Pp 26-31 (2024)

Schlagwörter: photovoltaic systems, intelligent algorithms, charge controller, grid tie inverter, Geology, QE1-996.5

Dateibeschreibung: electronic resource

Relation: https://www.econ-environ-geol.org/index.php/ojs/article/view/309/187; https://doaj.org/toc/2223-957X

Zugangs-URL: https://doaj.org/article/5728582897464447ae906d6aa4db19d2

Eight grand challenges for value sensitive design from the 2016 Lorentz workshop

Autoren: Friedman, B. Harbers, M. Hendry, D.G. et al.

Weitere Verfasser: Friedman, B. Harbers, M. Hendry, D.G. et al.

Quelle: Ethics and Information Technology. 23 (2021)(1):5-16

Schlagwörter: value sensitive design, design research, value prioritization, tech policy, human emotions, intelligent algorithms, value tensions

Zugangs-URL: https://surfsharekit.nl/public/74a247b2-6467-478b-b6a8-568f0fd96965
https://surfsharekit.nl/objectstore/516d38e2-9546-44a1-a62f-ce762f390faf

Verfügbarkeit: http://www.hbo-kennisbank.nl/en/page/hborecord.view/?uploadId=sharekit_hr:oai:surfsharekit.nl:74a247b2-6467-478b-b6a8-568f0fd96965

A Comprehensive Decade-Long Review of Advanced MPPT Algorithms for Enhanced Photovoltaic Efficiency

Autoren: Maroua Bouksaim Mohcin Mekhfioui Mohamed Nabil Srifi

Quelle: Solar, Vol 5, Iss 3, p 44 (2025)

Schlagwörter: photovoltaic system, maximum power point tracking (MPPT), intelligent algorithms, conventional MPPT techniques, hybrid MPPT methods, machine learning in MPPT, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2673-9941/5/3/44; https://doaj.org/toc/2673-9941

Zugangs-URL: https://doaj.org/article/09de53bd7e664d95bfada45489da29e4

A Robust Aerodynamic Design Optimization Methodology for UAV Airfoils Based on Stochastic Surrogate Model and PPO-Clip Algorithm

Autoren: Yiyu Wang Yuxin Huo Zhilong Zhong et al.

Quelle: Drones, Vol 9, Iss 9, p 607 (2025)

Schlagwörter: Unmanned Aerial Vehicles, airfoil optimization, Robust Aerodynamic Design Optimization, stochastic surrogate model, intelligent algorithms, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2504-446X/9/9/607; https://doaj.org/toc/2504-446X

Zugangs-URL: https://doaj.org/article/29cea49a5ab9452ca6808ef18b62a609

Autonomous Greenhouse Cultivation of Dwarf Tomato: Performance Evaluation of Intelligent Algorithms for Multiple-Sensor Feedback

Autoren: Stef C. Maree Pinglin Zhang Bart M. van Marrewijk et al.

Quelle: Sensors, Vol 25, Iss 14, p 4321 (2025)

Schlagwörter: computer vision, sensors, dwarf tomato, controlled environment agriculture, autonomous greenhouse control, intelligent algorithms, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/14/4321; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/a422bc94c3a74cafb1624c6ba4af5119

Review of Acoustic Emission Detection Technology for Valve Internal Leakage: Mechanisms, Methods, Challenges, and Application Prospects

Autoren: Dongjie Zheng Xing Wang Lingling Yang et al.

Quelle: Sensors, Vol 25, Iss 14, p 4487 (2025)

Schlagwörter: valve internal leakage, acoustic emission detection technology, wavelet analysis, intelligent algorithms, gaussian process regression, valve condition monitoring, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/14/4487; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/02ffe72044944ebca9414b0032ebb06c

Comparison of intelligence accuracy of data mining algorithms to estimate stocks prices

Autoren: Hossein Kianizadeh Ali Baghani Mohsen Hamidian

Quelle: راهبرد مدیریت مالی, Vol 12, Iss 3, Pp 213-230 (2024)

Schlagwörter: stock exchange, intelligent algorithms, machine learning, data mining, Finance, HG1-9999

Dateibeschreibung: electronic resource

Relation: https://jfm.alzahra.ac.ir/article_7960_4d08a9c07fd55469dcbcbd9f2dca0d79.pdf; https://doaj.org/toc/2345-3214; https://doaj.org/toc/2538-1962

Zugangs-URL: https://doaj.org/article/2f838754e2644a2dbb392671f1c88707

Deep characteristic learning model for real-time flow monitoring based on H-ADCP

Autoren: Yu Li Xin Zhao Yibo Wang et al.

Quelle: Journal of Hydrology: Regional Studies, Vol 57, Iss , Pp 102115- (2025)

Schlagwörter: Deep characteristic learning, H-ADCP, Real-time flow monitoring, Intelligent algorithms, Physical geography, GB3-5030, Geology, QE1-996.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214581824004646; https://doaj.org/toc/2214-5818

Zugangs-URL: https://doaj.org/article/722ce6138f6542028224c28393ef4433