Výsledky vyhľadávania - "tunicate swarm algorithm"

A Hybrid Deep Learning Framework for Intrusion Detection in Database Systems Using Brown-Bear Optimization and Tunicate Swarm Algorithm

Autori: Li Wang Brij B. Gupta Akshat Gaurav a ďalší

Zdroj: Journal of Database Management. 36:1-25

Optimal Multi-Microgrids Energy Management Through Information Gap Decision Theory and Tunicate Swarm Algorithm

Autori: Reza Rashidi Alireza Hatami Mansour Moradi a ďalší

Zdroj: IEEE Access, Vol 12, Pp 114795-114808 (2024)

Predmety: fatigue life, Energy management, 0202 electrical engineering, electronic engineering, information engineering, information gap decision theory, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, tunicate swarm algorithm, tertiary-level control, 7. Clean energy, multi-microgrid, TK1-9971

Prístupová URL adresa: https://doaj.org/article/52cff38669b94740bc2bebac478ad9ea

Mathematical modeling of a Hybrid Mutated Tunicate Swarm Algorithm for Feature Selection and Global Optimization

Autori: Turki Althaqafi

Zdroj: AIMS Mathematics, Vol 9, Iss 9, Pp 24336-24358 (2024)

Predmety: feature selection, machine learning, classification, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, tunicate swarm algorithm, rat swarm optimizer, Mathematics

Prístupová URL adresa: https://doaj.org/article/5c8d107b67ec4ad5aedb654feb7041ad

A Comprehensive Review of the Tunicate Swarm Algorithm: Variations, Applications, and Results

Autori: Rong Zheng Abdelazim G. Hussien Anas Bouaouda a ďalší

Zdroj: Archives of Computational Methods in Engineering. 32:2917-2986

Tunicate Swarm Algorithm-Based Load Frequency Controller for Renewable Energy Resources Combined Heat Power Network

Autori: S. M. Abd Elazim

Zdroj: WSEAS TRANSACTIONS ON ELECTRONICS. 16:1-10

A novel reinforcement learning-inspired tunicate swarm algorithm for solving global optimization and engineering design problems

Autori: Vanisree Chandran Prabhujit Mohapatra

Zdroj: Journal of Industrial and Management Optimization. 21:565-612

Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer

Autori: Xiao Wei Liu Chanjuan Jiang Ke a ďalší

Zdroj: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Predmety: Photographic image analysis, Science, Oral cancer detection, Improved tunicate swarm algorithm, 0211 other engineering and technologies, Deep learning, 02 engineering and technology, Article, Deep Learning, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Medicine, Humans, Animals, Convolutional neural networks, Mouth Neoplasms, Neural Networks, Computer, Urochordata, Algorithms, Early Detection of Cancer

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39562767
https://doaj.org/article/13bd1e399c89414bad27b57fc583e767

Modified tunicate swarm algorithm-based methodology for enhancing the operation of partially shaded photovoltaic system

Autori: Ahmed Fathy Dina A. Amer Mujahed Al-Dhaifallah

Zdroj: Alexandria Engineering Journal, Vol 79, Iss, Pp 449-470 (2023)

Predmety: Maximum power point tracker, Tunicate swarm algorithm, Partial shade, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), Photovoltaic, 7. Clean energy

Prístupová URL adresa: https://doaj.org/article/13e14bb0c9434562ac4917b04b2d74c7

Load Shifting of Residential Load for Demand Side Management Using Tunicate Swarm Algorithm

Autori: P. D. Vaidya Saikat Gochhait Tharmalingam Gunasekar a ďalší

Zdroj: 2024 5th International Conference on Data Analytics for Business and Industry (ICDABI). :57-60

Detection of Alzheimer’s disease using Otsu thresholding with tunicate swarm algorithm and deep belief network

Autori: Praveena Ganesan G. P. Ramesh Przemysław Falkowski-Gilski a ďalší

Zdroj: Front Physiol
Frontiers in Physiology, Vol 15 (2024)

Predmety: Otsu thresholding, deep belief network, 03 medical and health sciences, 0302 clinical medicine, Alzheimer's disease detection, classification accuracy, Physiology, 0202 electrical engineering, electronic engineering, information engineering, magnetic resonance imaging, QP1-981, 02 engineering and technology, tunicate swarm algorithm, 3. Good health

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39045216
https://doaj.org/article/c5beb11206464038b0f11fb3ca7c92b8

Tunicate swarm algorithm with deep convolutional neural network-driven colorectal cancer classification from histopathological imaging data

Autori: Abdullah AL-Malaise AL-Ghamdi Mahmoud Ragab

Zdroj: Electronic Research Archive, Vol 31, Iss 5, Pp 2793-2812 (2023)

Predmety: Artificial neural network, Radiology, Nuclear Medicine and Imaging, Tumor Heterogeneity, Artificial intelligence, Deep Learning in Medical Image Analysis, medical imaging, colorectal cancer, Convolutional neural network, Tunicate, Pattern recognition (psychology), Radiomics in Medical Imaging Analysis, Cancer Imaging, Global Trends in Colorectal Cancer Research, Deep Learning, Artificial Intelligence, Health Sciences, Machine learning, QA1-939, Digital pathology, Biology, Internal medicine, Cancer, T57-57.97, Applied mathematics. Quantitative methods, Ecology, deep learning, Deep learning, Computer-Aided Detection, histopathological images, Computer science, Colorectal cancer, 3. Good health, Algorithm, Oncology, FOS: Biological sciences, Computer Science, Physical Sciences, Cancer Prognosis, Medicine, Feature extraction, tunicate swarm algorithm, Classifier (UML), Mathematics

Prístupová URL adresa: https://doaj.org/article/e2c8496f2b114dc686169d0f24b98367

Implementation of Adaptive Tunicate Swarm Algorithm for Congestion Control and Link Failure Avoidance in Mobile Ad Hoc Networks

Autori: Anil Kumar Bandani Makam Venkata Subramanyam Kodati Satya Prasad

Zdroj: 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). :1-8

An improved tunicate swarm algorithm with random opposition based learning for global optimization problems

Autori: Vanisree Chandran Prabhujit Mohapatra

Zdroj: OPSEARCH. 62:959-984

Recent Versions and Applications of Tunicate Swarm Algorithm

Autori: Haseebullah Jumakhan Sana Abouelnour Aneesa Al Redhaei a ďalší

Zdroj: Archives of Computational Methods in Engineering.

FLAT: A New Federated Learning Framework for Privacy Preserving in Smart Cities Using IoT and Artificial Intelligence-Enabled Tunicate Swarm Algorithm

Autori: Norah Saleh Alghamdi Amandeep Kaur Gaurav Dhiman

Zdroj: Lecture Notes in Networks and Systems ISBN: 9789819661237

A Comprehensive Review of the Tunicate Swarm Algorithm: Variations, Applications, and Results

Autori: Zheng, Rong Hussien, Abdelazim Bouaouda, Anas a ďalší

Témy: Computer Engineering, Datorteknik, Article, review/survey, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-212559
Archives of Computational Methods in Engineering, 1134-3060, 2025

IMATSA – an improved and adaptive intelligent optimization algorithm based on tunicate swarm algorithm

Autori: Yan Chen Weizhen Dong Xiaochun Hu

Zdroj: AI Communications. 37:1-22

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Adaptive Channel Equalization for Digital Communication with Tunicate Swarm Algorithm

Autori: N. Shwetha Manoj Priyatham Virupaxi Dalal a ďalší

Zdroj: IETE Journal of Research. 70:7630-7647

Deep Long and Short Term Memory with Tunicate Swarm Algorithm for Skin Disease Detection and Classification

Autori: null Ashwin Narasimha Murthy

Zdroj: Journal of Electrical Systems. 20:613-624

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences, 3. Good health

Improving Network Security using Tunicate Swarm Algorithm with Stacked Deep Learning Model on IoT Environment

Autori: Abedallah Abedallah Rasha Almajed

Zdroj: International Journal of Wireless and Ad Hoc Communication. 8:67-80