Suchergebnisse - "Dingo optimization algorithm"

An Optimized Deep Learning-Based Smart Parking Mechanism for Smart City Environment

Autoren: Amu Durairaj Adithya Baskaran Ranjith Janakiraman et al.

Quelle: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-30 (2025)

Schlagwörter: Deep learning, Parking space guidance, Long short-term memory, Improved Dingo optimization algorithm, Absolute shrinkage and selection operator (LASSO), Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1875-6883

Zugangs-URL: https://doaj.org/article/ddcbb78f15d14251a71387f91d091ff1

Optimal Placement of Phasor Measurement Unit in Electrical Grid Using Dingo Optimization Algorithm

Autoren: ARIYO Funso Kehinde AYANLADE Samson Oladayo JIMOH Abdulrasaq et al.

Quelle: Journal of Electrical and Electronics Engineering, Vol 18, Iss 1, Pp 23-26 (2025)

Schlagwörter: phasor measurement units, dingo optimization algorithm, observability, connectivity, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V18_N1_MAY_2025/04%20paper%202408262%20ARIYO.pdf; https://doaj.org/toc/1844-6035; https://doaj.org/toc/2067-2128

Zugangs-URL: https://doaj.org/article/5b248c1d9e774698b9007fd6beb2f7bc

Multi-information fusion welding defect identification combining neighborhood rough set and optimized SVM

Autoren: Zhiqiang FENG Xianping ZENG Naiwen FANG et al.

Quelle: Hanjie xuebao, Vol 46, Iss 5, Pp 50-60 (2025)

Schlagwörter: neighborhood rough set, welding defect identification, support vector machine, multi-information fusion, dingo optimization algorithm, Mechanical engineering and machinery, TJ1-1570

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/0253-360X

Zugangs-URL: https://doaj.org/article/b4a17903e15249ad802ec77c0523c4ad

ECG Arrhythmia Measurement and Classification for Portable Monitoring

Autoren: P Ajitha Gladis K. Ahilan A Muthukumaran N et al.

Quelle: Measurement Science Review, Vol 24, Iss 4, Pp 118-128 (2024)

Schlagwörter: discrete wavelet transform, 03 medical and health sciences, 0302 clinical medicine, stripped convolution, arrhythmia classification, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, deep learning, dingo optimization algorithm, ecg signal, 02 engineering and technology, Mathematics

Zugangs-URL: https://doaj.org/article/8ce30d4232e246fea9b7e5b544ede1be

Enhancing Compressive Strength Prediction in Recycled Aggregate Concrete through Robust Hybrid Machine Learning Approaches

Autoren: Samuel Keown Dylan O’Dwyer

Quelle: Advances in Engineering and Intelligence Systems, Vol 004, Iss 01, Pp 21-37 (2025)

Schlagwörter: recycled aggregate concrete, compressive strength, least square support vector regression, giant trevally optimizer, dingo optimization algorithm, Computer software, QA76.75-76.765, Mining engineering. Metallurgy, TN1-997

Dateibeschreibung: electronic resource

Relation: https://aeis.bilijipub.com/article_218011_2ad5b4845159d7a9c56279e168df6e3c.pdf; https://doaj.org/toc/2821-0263

Zugangs-URL: https://doaj.org/article/b58bc4fbc5ad45d795966d2b304c7d8c

Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures

Autoren: Mohammed Majeed Hameed Adil Masood Aman Srivastava et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)

Schlagwörter: Liquefaction, Earthquake, Dingo Optimization Algorithm, Non-linear normalization, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/f2b4544d4a7c407787b23306cd3a36c5

An Improved Dingo Optimization for Resource Aware Scheduling in Cloud Fog Computing Environment

Autoren: Santhosh Kumar Medishetti Ganesh Reddy Karri

Quelle: Majlesi Journal of Electrical Engineering, Vol 17, Iss 3 (2024)

Schlagwörter: Task scheduling, degree of imbalance, Cloud-Fog computing, Dingo Optimization Algorithm, makespan, TA1-2040, Engineering (General). Civil engineering (General)

Zugangs-URL: https://doaj.org/article/4d9952ad17384ddbb8e680381d01d2bf

Balancing Human-robot Collaborative Disassembly Line by Using Dingo Optimization Algorithm

Autoren: Guo, Xiwang Zhou, Liangbo Zhou, Mengchu et al.

Quelle: Faculty Publications

Schlagwörter: dingo optimization algorithm, human-robot collaboration system, mixed integer programming model, Multi-product disassembly line balancing, remanufacturing

Relation: https://digitalcommons.njit.edu/fac_pubs/965

Verfügbarkeit: https://digitalcommons.njit.edu/fac_pubs/965
https://doi.org/10.1109/ICHMS59971.2024.10555664

Improved Dingo Optimization Algorithm for Human-robot Collaborative U-shaped Disassembly Line Balancing Problem

Autoren: Li, Jialong Guo, Xi Wang Wang, Jiacun et al.

Quelle: Faculty Publications

Schlagwörter: disassembly line balancing, human-robot collaboration, improved dingo optimization algorithm, U-shaped disassembly line

Relation: https://digitalcommons.njit.edu/fac_pubs/734

Verfügbarkeit: https://digitalcommons.njit.edu/fac_pubs/734
https://doi.org/10.1109/ICCSI62669.2024.10799439

Dingo optimization algorithm for designing power system stabilizer

Autoren: Aribowo, Widi Suprianto, Bambang Three Kartini, Unit et al.

Quelle: Indonesian Journal of Electrical Engineering and Computer Science; Vol 29, No 1: January 2023; 1-7 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v29.i1

Schlagwörter: Dingo optimization algorithm, Grasshopper optimization, Power system stabilizer, Single machine infinite bus, Whale optimization algorithm

Dateibeschreibung: application/pdf

Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/28554/16916; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/28554

Verfügbarkeit: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/28554
https://doi.org/10.11591/ijeecs.v29.i1.pp1-7

A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage

Autoren: Dahu Li Hongyu Zhou Yuan Chen et al.

Quelle: Energies, Vol 16, Iss 10, p 4252 (2023)

Schlagwörter: hybrid energy system, energy storage, wind power, support frequency, dingo optimization algorithm, Technology

Relation: https://www.mdpi.com/1996-1073/16/10/4252; https://doaj.org/toc/1996-1073; https://doaj.org/article/87cf1de5a91c495bb086376f96c5b51f

Verfügbarkeit: https://doi.org/10.3390/en16104252
https://doaj.org/article/87cf1de5a91c495bb086376f96c5b51f

Optimal Allocation of Photovoltaic Distributed Generations in Radial Distribution Networks

Autoren: Samson Oladayo Ayanlade Funso Kehinde Ariyo Abdulrasaq Jimoh et al.

Quelle: Sustainability, Vol 15, Iss 13933, p 13933 (2023)

Schlagwörter: active power loss, distributed generation, voltage profile, reactive power loss, PVDG, dingo optimization algorithm, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/15/18/13933; https://doaj.org/toc/2071-1050; https://doaj.org/article/ab9acf58bfd64f7b9b99d06ac81cf8be

Verfügbarkeit: https://doi.org/10.3390/su151813933
https://doaj.org/article/ab9acf58bfd64f7b9b99d06ac81cf8be

Task Scheduling for Federated Learning in Edge Cloud Computing Environments by Using Adaptive-Greedy Dingo Optimization Algorithm and Binary Salp Swarm Algorithm

Autoren: Weihong Cai Fengxi Duan

Quelle: Future Internet, Vol 15, Iss 11, p 357 (2023)

Schlagwörter: edge cloud computing, Internet of things, dingo optimization algorithm, salp swarm algorithm, federated learning, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1999-5903/15/11/357; https://doaj.org/toc/1999-5903

Zugangs-URL: https://doaj.org/article/adaf47b5b477421593f32ff23b5c027a

Edge-Cloud Computing and Federated-Split Learning in the Internet of Things

Weitere Verfasser: Duan, Qiang Lu, Zhihui

Schlagwörter: federated learning, Internet of Things, clustering, communication efficiency, convolutional neural network, machine learning, edge computing, edge cloud, OFD files, semantic analysis, dynamic watermarking, differential privacy, homomorphic encryption, privacy, accuracy, client selection, model aggregation, semi-synchronous, IoT, edge cloud computing, dingo optimization algorithm, salp swarm algorithm, transfer learning, virtual machines, raspberry PI, proof-of-concept, Federated Learning (FL), intrusion detection systems (IDS), Internet of Vehicles (IoV), deep learning

Dateibeschreibung: application/octet-stream

Relation: ONIX_20250220_9783725819942_64; https://mdpi.com/books/pdfview/book/9862

Verfügbarkeit: https://directory.doabooks.org/handle/20.500.12854/152700
https://hdl.handle.net/20.500.12854/152700
https://mdpi.com/books/pdfview/book/9862

The Rescuer’s Navigation in Metro Stations Based on Inertial Sensors and WiFi

Autoren: Qingyong Wang Weiqiang Qu Jian Chen et al.

Quelle: Electronics, Vol 12, Iss 1, p 108 (2022)

Schlagwörter: dead reckoning, WiFi, dingo optimization algorithm, dingo particle filter, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/12/1/108; https://doaj.org/toc/2079-9292; https://doaj.org/article/6b14f3c29f2145d98d06ddbeebdecc90

Verfügbarkeit: https://doi.org/10.3390/electronics12010108
https://doaj.org/article/6b14f3c29f2145d98d06ddbeebdecc90