Suchergebnisse - "Bakır H"

Optimal power flow analysis with circulatory system-based optimization algorithm

Autoren: Bakır H.

Schlagwörter: Metaheuristic algorithms, Optimal power flow, Optimization, Power system planning

Relation: Turkish Journal of Engineering; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.31127/tuje.1282429; https://hdl.handle.net/11376/4353; 92; 106; 1222878; Q3

Verfügbarkeit: https://hdl.handle.net/11376/4353
https://doi.org/10.31127/tuje.1282429

Financial development and economic growth: Panel data analysis

Autoren: Eryılmaz, F. Bakır, H. Mercan, M. et al.

Weitere Verfasser: Eryılmaz, F. Bakır, H. Mercan, M. et al.

Schlagwörter: Financial Development, Economic Growth, Finance

Relation: Handbook of Research on Strategic Developments and Regulatory Practice in Global Finance; 978146667290114666728899781466672895; https://hdl.handle.net/11452/52395; 233; 245

Verfügbarkeit: https://hdl.handle.net/11452/52395
https://doi.org/10.4018/978-1-4666-7288-8.ch015

Comparative performance analysis of metaheuristic search algorithms in parameter extraction for various solar cell models

Autoren: Bakır H.

Schlagwörter: Double-diode model, Metaheuristic algorithms, Parameter extraction, Single-diode model, Solar photovoltaic cells

Relation: Environmental Challenges; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.1016/j.envc.2023.100720; https://hdl.handle.net/11376/4318; 11; Q1

Verfügbarkeit: https://hdl.handle.net/11376/4318
https://doi.org/10.1016/j.envc.2023.100720

Macroeconomic Determinants of Subjective Well-Being in Portugal: Pathways to Social Sustainability.

Autoren: Teixeira, Natália Pereira, Leandro Vinhas da Silva, Rui

Quelle: Sustainability (2071-1050); Aug2025, Vol. 17 Issue 15, p6888, 12p

Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection.

Autoren: Almseidin, Mohammad Gawanmeh, Amjad Alzubi, Maen et al.

Quelle: Computers (2073-431X); Mar2025, Vol. 14 Issue 3, p107, 19p

Schlagwörter: ARTIFICIAL neural networks, ANT algorithms, OPTIMIZATION algorithms, GREY Wolf Optimizer algorithm, PARTICLE swarm optimization

Corrigendum: A succinct review of strengths, weaknesses, opportunities, and threats (SWOT) analyses, challenges and prospects of solar and wind tree technologies for hybrid power generation.

Autoren: Mohanaravi, Kumaresen Samykano, Mahendran Pandey, Adarsh Kumar et al.

Quelle: Frontiers in Energy Research; 2024, p1-2, 2p

Schlagwörter: SOLAR energy, SOLAR wind, HYBRID power, RENEWABLE energy sources, PUBLISHED articles

Achieving Efficient Prompt Engineering in Large Language Models Using a Hybrid and Multi-Objective Optimization Framework.

Autoren: Narayanaswamy, Sridevi Kottapalli Muniswamy, Rajanna

Quelle: Cybernetics & Information Technologies; Jun2025, Vol. 25 Issue 2, p67-82, 16p

Schlagwörter: LANGUAGE models, MULTI-objective optimization, EVOLUTIONARY algorithms, GENETIC algorithms, ROBUST optimization

Mali Tablo Okuryazarlık Düzeyinin Banka Kredi Temsilcileri, SMMM'ler ve İşletme Yetkilileri Açısından İncelenmesi. (Turkish)

Alternate Title: Examination of Financial Statement Literacy Level in Terms of Bank Credit Representatives, Accountants and Business Authorities. (English)

Autoren: ONUT, Sefa DEMİR, Mehmet

Quelle: Hitit Journal of Social Sciences; Dec2024, Vol. 17 Issue 3, p482-501, 20p

Schlagwörter: FINANCIAL literacy, FINANCIAL statements, CRONBACH'S alpha, SPELLING errors, LOAN officers

Accurate nowcasting of cloud cover at solar photovoltaic plants using geostationary satellite images.

Autoren: Xia, Pan Zhang, Lu Min, Min et al.

Quelle: Nature Communications; 1/13/2024, Vol. 15 Issue 1, p1-10, 10p

Schlagwörter: GEOSTATIONARY satellites, CLOUDINESS, PHOTOVOLTAIC power systems, REMOTE-sensing images, PHOTOVOLTAIC power generation, SOLAR power plants, RECURRENT neural networks

Geografische Kategorien: CHINA

Prediction and parametric modeling of compressive strength of waste marble dust concrete through machine learning and experimental analysis.

Autoren: Alzlfawi, Abdullah Sobuz, Md. Habibur Rahman Kawsarul, Md. et al.

Quelle: Scientific Reports; 12/2/2025, Vol. 15 Issue 1, p1-26, 26p

An improved educational competition optimizer with multi-covariance learning operators for global optimization problems.

Autoren: Zhao, Baoqi Yang, Xiong Lee, Hoileong et al.

Quelle: Cluster Computing; Dec2025, Vol. 28 Issue 15, p1-26, 26p

Schlagwörter: GLOBAL optimization, METAHEURISTIC algorithms, OPTIMIZATION algorithms, MATHEMATICAL optimization, BENCHMARK problems (Computer science), STATISTICS

ViTGuard: a synergistic approach to malware detection using vision transformers and genetic algorithms optimization.

Autoren: Bakır, Halit Bakır, Rezan Alkhaldi, Tareq et al.

Quelle: Pattern Analysis & Applications; Dec2025, Vol. 28 Issue 4, p1-20, 20p

Schlagwörter: MALWARE, GENETIC algorithms, DEEP learning, CALIBRATION, TRANSFORMER models, IMAGE recognition (Computer vision), INTERNET security, MACHINE learning

Swift Flight Optimizer: a novel bio-inspired optimization algorithm based on swift bird behavior.

Autoren: Kareem, Abbas Aqeel Abid, Ahmed Jabbar Hammood, Dalal Abdulmohsin et al.

Quelle: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-33, 33p

Schlagwörter: METAHEURISTIC algorithms, OPTIMIZATION algorithms, EVOLUTIONARY algorithms, MATHEMATICAL optimization, BENCHMARK problems (Computer science)

Transfer learning for solar irradiation prediction in Minas Gerais, Brazil.

Autoren: da Costa Alves Basílio, Samuel dos Santos, Cicero Manoel Martinho, Alfeu Dias et al.

Quelle: Scientific Reports; 11/17/2025, Vol. 15 Issue 1, p1-16, 16p

Schlagwörter: SOLAR radiation, MACHINE learning, TRANSFER of training, PHOTOVOLTAIC power generation, GEOSPATIAL data, METEOROLOGICAL databases

Geografische Kategorien: MINAS Gerais (Brazil), BRAZIL

Dynamic fitness-distance balance competitive swarm optimizer: performance investigation, engineering Simulation, and application in superconductor critical temperature prediction.

Autoren: Cao, Yang Du, Xingbang Yu, Jun et al.

Quelle: Cluster Computing; 2025, Vol. 28 Issue 11, p1-56, 56p

Schlagwörter: OPTIMIZATION algorithms, SUPERCONDUCTING transition temperature, MATHEMATICAL optimization, BENCHMARK problems (Computer science), ENGINEERING design

Comparative Study of Application of Production Sequencing and Scheduling Problems in Tire Mixing Operations with ADAM, Grey Wolf Optimizer, and Genetic Algorithm.

Autoren: Yıldırım, Elif Denizhan, Berrin

Quelle: Systems; Nov2025, Vol. 13 Issue 11, p998, 26p

A multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications.

Autoren: Diao, Qi Xie, Chengyue Yin, Yuchen et al.

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 10, p1-32, 32p

Schlagwörter: MATHEMATICAL optimization, OPTIMIZATION algorithms, STRUCTURAL optimization, ENGINEERING firms, BENCHMARK problems (Computer science), INVENTIONS

Multi-criteria assessment of optimization methods for controlling renewable energy sources in distribution systems.

Autoren: Eid, Ahmad Alsafrani, Abdulrahman

Quelle: Scientific Reports; 10/17/2025, Vol. 15 Issue 1, p1-30, 30p

Schlagwörter: RENEWABLE energy sources, POWER distribution networks, MATHEMATICAL optimization, COMPUTER performance, METAHEURISTIC algorithms

Implementation of a novel enhanced hybrid multi-objective osprey optimization algorithm for off-grid hybrid system sizing.

Autoren: Bandopadhyay, Joy Roy, Provas Kumar

Quelle: Evolutionary Intelligence; Oct2025, Vol. 18 Issue 5, p1-39, 39p

An enhanced RIME based metaheuristic with chaos and Gaussian mutation for accurate solid oxide fuel cell parameter identification.

Autoren: Agrawal, Toshika R. Aljaidi, Mohammad Maheshwari, Sanjeev et al.

Quelle: Ionics; Oct2025, Vol. 31 Issue 10, p10805-10837, 33p