Výsledky vyhľadávania - "Improved Crayfish Optimization algorithm"

An energy aware cluster inspired routing protocol using multi strategy improved crayfish optimization algorithm for guaranteeing green communication in IoT

Autori: R. Chithra C. K. Sarumathiy E. Padma a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-24 (2025)

Predmety: Internet of things (IoT), Green communication, Multi-strategy improved crayfish optimization algorithm (MSICOA), Cluster head (CH) selection, Hybrid best worst method (BWM)-TOPSIS, Trust management model, Medicine, Science

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/3a9279b79397412db4db7d91743f4496

Improved Crayfish Optimization Algorithm for Solving Feature Selection Problem

Autori: Honghua Rao Heming Jia Xiaoming Shi a ďalší

Zdroj: 2025 37th Chinese Control and Decision Conference (CCDC). :3514-3519

Improved Crayfish Optimization Algorithm for Mobile Robot Path Planning Optimization

Autori: Chao Huang Zebin Yang

Zdroj: 2025 6th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM). :134-137

AI-Integrated Feature Selection of Intrusion Detection for Both SDN and Traditional Network Architectures Using an Improved Crayfish Optimization Algorithm

Autori: Hui Xu Wei Huang Longtan Bai

Zdroj: Computers, Materials & Continua. 84:3053-3073

An Improved Crayfish Optimization Algorithm and Its Application in Enhancing Low-light Image Quality

Autori: Ziyao Cheng Shizhen Wang Minsheng Gao a ďalší

Zdroj: 2024 IEEE 4th International Conference on Data Science and Computer Application (ICDSCA). :646-654

A Systematic Kidney Tumour Segmentation and Classification Framework Using Adaptive and Attentive-Based Deep Learning Networks With Improved Crayfish Optimization Algorithm

Autori: Vinitkumar Vasantbhai Patel Arvind R. Yadav Prateek Jain a ďalší

Zdroj: IEEE Access, Vol 12, Pp 85635-85660 (2024)

Predmety: 3D-Trans-Residual DenseUnet++, 03 medical and health sciences, 0302 clinical medicine, adaptive and attentive based residual DenseNet with gated recurrent unit, deep learning-based image analysis, 0202 electrical engineering, electronic engineering, information engineering, Kidney tumour segmentation and classification, modified crayfish optimization algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971, 3. Good health

Prístupová URL adresa: https://doaj.org/article/a71e6018b54048b9a72b1b2c2fa785db

Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological images

Autori: Mahmoud Ragab Turky Omar Asar

Zdroj: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)

Predmety: Oral cancer, Science, Squeeze-excitation- CapsNet, Article, Deep Learning, Bilateral filtering, Crayfish optimization algorithm, Carcinoma, Squamous Cell, Image Processing, Computer-Assisted, Medicine, Humans, Animals, Mouth Neoplasms, Histopathological image, Neural Networks, Computer, Bidirectional long short-term memory, Algorithms

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39455617
https://doaj.org/article/7d7106d370014a5c90283ad3c5becf26

Based on improved crayfish optimization algorithm cooperative optimal scheduling of multi-microgrid system

Autori: Dongmei Yan Hongkun Wang Yujie Gao a ďalší

Zdroj: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)

Predmety: Shared energy storage, Science, Crayfish optimization algorithm, Multi-microgrid system, Medicine, Stackelberg game, Optimal scheduling, Article

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39438548
https://doaj.org/article/61767f5884c24fff8f882789991fb440

Ballistic Fitting Impact Point Prediction Based on Improved Crayfish Optimization Algorithm

Autori: Baolu Yang Liangming Wang Jian Fu

Zdroj: Aerospace, Vol 11, Iss 11, p 908 (2024)

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, C-K method, TL1-4050, impact point prediction, 02 engineering and technology, improved crayfish optimization algorithm, ballistic fitting, Motor vehicles. Aeronautics. Astronautics

Prístupová URL adresa: https://doaj.org/article/89174abfeb1d48b99a689befae31711a

Hybrid strategy improved crayfish optimization algorithm

Autori: Wei Lv Chaoxu Mu

Zdroj: Fourth International Conference on Algorithms, Microchips, and Network Applications (AMNA 2025). :86

An Improved Crayfish Optimization Algorithm: Enhanced Search Efficiency and Application to UAV Path Planning

Autori: Qinyuan Huang Yuqi Sun Chengyang Kang a ďalší

Zdroj: Symmetry. 17:356

An improved crayfish optimization algorithm with opposition-based learning and modified competition stages

Autori: Bai, Jianfu Abdel Wahab, Magd

Prispievatelia: Bai, Jianfu Abdel Wahab, Magd

Zdroj: Book of Abstracts-The 2nd International Conference on Applied Mathematics, Informatics, and Computing Sciences (AMICS 2023)

Predmety: Technology and Engineering, Mathematics and Statistics

Popis súboru: application/pdf

Prístupová URL adresa: https://biblio.ugent.be/publication/01HHCACTHCRWMC7VJ6JDZJXSA5/file/01HHCAEQQ1V576AP7B26TPS3FP
https://biblio.ugent.be/publication/01HHCACTHCRWMC7VJ6JDZJXSA5
http://hdl.handle.net/1854/LU-01HHCACTHCRWMC7VJ6JDZJXSA5

Improved crayfish optimization algorithm for parameters estimation of photovoltaic models

Autori: Lakhdar Chaib Mohammed Tadj Abdelghani Choucha a ďalší

Zdroj: Energy Conversion and Management. 313:118627

An energy aware cluster inspired routing protocol using multi strategy improved crayfish optimization algorithm for guaranteeing green communication in IoT.

Autori: Chithra, R. Sarumathiy, C. K. Padma, E. a ďalší

Zdroj: Scientific Reports; 10/6/2025, Vol. 15 Issue 1, p1-24, 24p

Predmety: ENERGY consumption, INTERNET of things, OPTIMIZATION algorithms, NETWORK performance, CLUSTERING algorithms, TRUST, NETWORK routing protocols

AI-Integrated Feature Selection of Intrusion Detection for Both SDN and Traditional Network Architectures Using an Improved Crayfish Optimization Algorithm.

Autori: Xu, Hui Huang, Wei Bai, Longtan

Zdroj: Computers, Materials & Continua; 2025, Vol. 84 Issue 2, p3053-3073, 21p

Predmety: OPTIMIZATION algorithms, VERNACULAR architecture, ARTIFICIAL intelligence, FEATURE selection, SOFTWARE-defined networking, INTRUSION detection systems (Computer security)

Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological images.

Autori: Ragab, Mahmoud Asar, Turky Omar

Zdroj: Scientific Reports; 10/25/2024, Vol. 14 Issue 1, p1-22, 22p

Predmety: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, DEEP learning, SQUAMOUS cell carcinoma

An Improved Crayfish Optimization Algorithm: Enhanced Search Efficiency and Application to UAV Path Planning.

Autori: Huang, Qinyuan Sun, Yuqi Kang, Chengyang a ďalší

Zdroj: Symmetry (20738994); Mar2025, Vol. 17 Issue 3, p356, 27p

Predmety: OPTIMIZATION algorithms, FLIGHT planning (Aeronautics), DRONE aircraft, RELIEF models, SEARCH algorithms

Ballistic Fitting Impact Point Prediction Based on Improved Crayfish Optimization Algorithm.

Autori: Yang, Baolu Wang, Liangming Fu, Jian

Zdroj: Aerospace (MDPI Publishing); Nov2024, Vol. 11 Issue 11, p908, 22p

Predmety: OPTIMIZATION algorithms, ANGULAR velocity, PROBLEM solving, RADAR, PROJECTILES

Soil Salinity Inversion in Yellow River Delta by Regularized Extreme Learning Machine Based on ICOA

Autori: Jiajie Wang Xiaopeng Wang Jiahua Zhang a ďalší

Zdroj: Remote Sensing, Vol 16, Iss 9, p 1565 (2024)

Predmety: soil salinity inversion, Yellow River Delta, regularized extreme learning machine, improved crayfish optimization algorithm, chaotic mapping, Science

Relation: https://www.mdpi.com/2072-4292/16/9/1565; https://doaj.org/toc/2072-4292; https://doaj.org/article/c9a59cf30d3a49b0a7717d19299a8cc1

Dostupnosť: https://doi.org/10.3390/rs16091565
https://doaj.org/article/c9a59cf30d3a49b0a7717d19299a8cc1

Researchers from King Abdulaziz University Report Recent Findings in Oral Squamous Cell Carcinoma (Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological...).

Zdroj: Medical Imaging Week; 11/15/2024, p1137-1137, 1p

Predmety: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, SQUAMOUS cell carcinoma, INFORMATION technology