Suchergebnisse - "Improved chimp optimization algorithm"

Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm

Autoren: Juntao Chen Mingjin Fan

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

Schlagwörter: Water damage accidents, Variational mode decomposition, Improved chimp optimization algorithm, Gated recurrent units, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0928cab228f846d3b67bb8253bb73c86

Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction

Autoren: Ming Wei Xiaopeng Du

Quelle: Machine Learning with Applications, Vol 19, Iss , Pp 100624- (2025)

Schlagwörter: PM2.5 prediction, RF-IChOA-CNN-LSTM-Attention, Improved Chimp Optimization Algorithm, Combined model, Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666827025000076; https://doaj.org/toc/2666-8270

Zugangs-URL: https://doaj.org/article/cb2b87304fac4c5b9e1590459f9e17f0

Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm

Autoren: Ranjbarzadeh, Ramin Zarbakhsh, Payam Caputo, Annalina et al.

Schlagwörter: Brain Tumor, Deep Learning, Improved Chimp Optimization Algorithm, Convolutional Neural Network, Feature Selection

Relation: Computers In Biology and Medicine; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.1016/j.compbiomed.2023.107723; https://hdl.handle.net/20.500.12713/4805; 168; WOS:001125006500001; 2-s2.0-85177867989; N/A; Q1

Verfügbarkeit: https://hdl.handle.net/20.500.12713/4805
https://doi.org/10.1016/j.compbiomed.2023.107723

Improved chimp optimization algorithm (ICOA) feature selection and deep neural network framework for internet of things (IOT) based android malware detection

Autoren: Tirumala Vasu G Samreen Fiza ATA. Kishore Kumar et al.

Quelle: Measurement: Sensors, Vol 28, Iss , Pp 100785- (2023)

Schlagwörter: Android malware, Feature selection, Improved chimp optimization algorithm (ICOA), Deep neural network framework (DNNF), Long short-term memory (LSTM) and android malware detection, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2665917423001216; https://doaj.org/toc/2665-9174

Zugangs-URL: https://doaj.org/article/b2ed3d6980c44b8184d767d81dc5f0b8

A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification

Autoren: Sadeghi, Fatemeh Larijani, Ata Rostami, Omid et al.

Schlagwörter: 654.9, 520.62/.68, Feature selection, POLSAR image classification, Improved chimp optimization algorithm, Deep convolutional neural network, Telecomunicaciones, 3325 Tecnología de las Telecomunicaciones

Dateibeschreibung: application/pdf

Relation: Sadeghi, F.; Larijani, A.; Rostami, O.; Martín, D.; Hajirahimi, P. A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. Sensors 2023, 23, 1180. https://doi.org/10.3390/s23031180; https://hdl.handle.net/20.500.14352/103450

Verfügbarkeit: https://hdl.handle.net/20.500.14352/103450
https://doi.org/10.3390/s23031180

An Improved Chimp-Inspired Optimization Algorithm for Large-Scale Spherical Vehicle Routing Problem with Time Windows

Autoren: Yifei Xiang Yongquan Zhou Huajuan Huang et al.

Quelle: Biomimetics, Vol 7, Iss 241, p 241 (2022)

Schlagwörter: chimp optimization algorithm, improved chimp optimization algorithm, spherical VRPTW model, metaheuristic algorithm, Technology

Relation: https://www.mdpi.com/2313-7673/7/4/241; https://doaj.org/toc/2313-7673; https://doaj.org/article/defb964ba0be4ba799141c2b451edc4a

Verfügbarkeit: https://doi.org/10.3390/biomimetics7040241
https://doaj.org/article/defb964ba0be4ba799141c2b451edc4a