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ORCIDInternational Journal of Computational Intelligence Studies, Volume 11
Volume 11, Number 1, 2022
- Gunjan Mukherjee, Arpitam Chatterjee, Bipan Tudu:
A multi-channel convolutional neural network driven computer vision system towards identification of species and maturity stage of banana fruits: case studies with Martaman and Singapuri banana. 1-23 - Vasileios Charilogis, Ioannis G. Tsoulos:
MinCentre: using clustering in global optimisation. 24-35 - Dhairya Vyas, Viral V. Kapadia:
Eagle view: an abstract evaluation of machine learning algorithms based on data properties. 36-52 - Jennyfer Susan M. B., P. Subashini, M. Krishnaveni:
Comparison of various deep learning inpainting methods in smart colposcopy images. 53-72
Volume 11, Number 2, 2022
- Ioannis G. Tsoulos, Alexandros T. Tzallas:
An improved multi-start-based method for global optimisation problems. 73-93 - Varsha Naik, Abhishek Chebolu, Janhavi Chavan, Prajakta Chaudhari, Snehalraj Chugh, Ahbaz Memon:
The evolution of military operations: artificial intelligence to detect hand gestures in defence. 94-112 - Wided Oueslati, Sami Riahi, Jalel Akaichi:
Ontological-based approach for semantic trajectory data warehouse modelling and querying: a moving bank publicity car running example. 113-130 - M. Mohana Dhas, N. Suresh Singh:
Image denoising using discrete wavelet transform and adaptive thresholding optimised with improved arithmetic optimisation algorithm and guided filter. 131-156
Volume 11, Numbers 3/4, 2022
- Tetsuo Yamada, Hiromasa Ijuin, Keisuke Nagasawa, Takaki Nagao:
Modelling of Decarbonized Global and Local Supply Chain Network for Material-Based Greenhouse Gas emission and costs with COVID-19 disruption and trans-Pacific partnership. - Shinya Sekizaki, Ichiro Nishizaki, Tomohiro Hayashida, Qi Liu:
Adaptive data-sharing methods for multi-agent systems using deep reinforcement learning. - Hideki Yaginuma, Tomoki Sanada, Aya Ishigaki:
Investigation of the Location of Secondary Storage Warehouses in the Inventory Delivery Planning Problem Considering Road Conditions. - Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki, Qi Liu:
Adaptive data-sharing methods for multi-agent systems using deep reinforcement learning. - Takaki Nagao, Hiromasa Ijuin, Keisuke Nagasawa, Tetsuo Yamada:
Modelling of decarbonised global and local supply chain network for material-based greenhouse gas emission and costs with COVID-19 disruption and trans-Pacific partnership. - Keiichi Tamura, Hajime Ito:
Defending against audio adversarial examples based on multiple-sub-detectors. - Baodi Xiao, Mingjian Su, Lili Yue:
Application of quantum-behaved characteristic particle swarm optimization algorithm in multi-objective optimization of urban rail train. - Lili Yue, Mingjian Su, Baodi Xiao:
Application of quantum-behaved characteristic particle swarm optimisation algorithm in multi-objective optimisation of urban rail train. - Vijaya Bharathi Jagan
, Jyothi M. Rao, Amiya Kumar Tripathy:
Predictive analytics of user cognitive styles in online shopping. - Ichiro Iimura, Yoshifumi Moriyama, Shigeru Nakayama:
Isolation Strategy for Multi-Objective Quantum-Inspired Evolutionary Algorithm. - Tomoki Sanada, Aya Ishigaki, Hideki Yaginuma:
Investigation of the location of secondary storage warehouses in the inventory delivery planning problem considering road conditions. - Hajime Ito, Keiichi Tamura:
Defending against Audio Adversarial Examples based on Multiple-Sub-Detectors. - Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Isolation strategy for multi-objective quantum-inspired evolutionary algorithm.
Volume 11, Number 4, 2022
- Yanxi Chen, Jianlin Su, Hao Zheng:
Performance prediction analysis of college aerobics course based on Back Propagation neural network. 1 - Yanlin Li, Zhen Li:
Research on the optimal charging method of parallel power batteries for smart electric vehicles. 1
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