International Journal of Computational Intelligence Systems

Journal Article

Solving Traveling Salesman Problem Using Parallel River Formation Dynamics Optimization Algorithm on Multi-core Architecture Using Apache Spark

Alhenawi, Esra’a; Khurma, Ruba Abu; Damaševic̆ius, Robertas; Hussien, Abdelazim G.

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-023-00385-5

According to Moore’s law, computer processing hardware technology performance is doubled every year. To make effective use of this technological development, the algorithmic solutions have to be developed at the same speed. Consequently, it is necessary to design parallel algorithms to be...

Open Access

Journal Article

Conflict Analysis Triggered by Three-Way Decision and Pythagorean Fuzzy Rough Set

Zhao, Jie; Wan, Renxia; Miao, Duoqian

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-023-00378-4

Conflict is ubiquitous in human society and has a profound impact on various fields such as the economy, politics, law, and military. Many scholars have focused on exploring the internal mechanisms and potential solutions to conflicts. Notably, describing agents’ attitudes is an effective way to...

Open Access

Journal Article

An Improved Fusion-Based Semantic Similarity Measure for Effective Collaborative Filtering Recommendations

Al-Hassan, Malak; Abu-Salih, Bilal; Alshdaifat, Esra’a; Aloqaily, Ahmad; Rodan, Ali

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-024-00429-4

Semantic-enhanced recommendation systems are promising approaches to overcome the sparsity and cold-start problems, which are hard to handle using the conventional collaborative filtering (CF) approaches. Further research is needed to effectively integrate ontologies into collaborative filtering...

Open Access

Journal Article

Active Exploration Deep Reinforcement Learning for Continuous Action Space with Forward Prediction

Zhao, Dongfang; Huanshi, Xu; Xun, Zhang

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-023-00389-1

The application of reinforcement learning (RL) to the field of autonomous robotics has high requirements about sample efficiency, since the agent expends for interaction with the environment. One method for sample efficiency is to extract knowledge from existing samples and used to exploration....

Open Access

Journal Article

An Algorithm for the Recognition of Motion-Blurred QR Codes Based on Generative Adversarial Networks and Attention Mechanisms

Dong, Hao; Liu, Haibin; Li, Mingfei; Ren, Fujie; Xie, Feng

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-024-00450-7

Motion blur can easily affect the quality of QR code image, making it difficult to recognize QR codes on moving objects. This paper proposes an algorithm for the recognition of motion-blurred QR codes based on generative adversarial network and attention mechanism. Firstly, a multi-scale feature...

Open Access

Journal Article

Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume

Bâra, Adela; Oprea, Simona-Vasilica

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-024-00464-1

The energy transition to a cleaner environment has been a concern for many researchers and policy makers, as well as communities and non-governmental organizations. The effects of climate change are evident, temperatures everywhere in the world are getting higher and violent weather phenomena are...

Open Access

Journal Article

Applying a Genetic Algorithm to Implement the Fuzzy-MACBETH Method in Decision-Making Processes

Bastos, Tatiane Roldão; Longaray, André Andrade; dos Santos Machado, Catia Maria; Ensslin, Leonardo; Ensslin, Sandra Rolim;

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-024-00433-8

This paper describes the development of an evolutionary algorithm for building cardinal scales based on the Fuzzy-MACBETH method. This method uses a triangular fuzzy numbers scale in the MACBETH method to incorporate the subjectivity of a semantic scale into mathematical modeling, which enables...

Open Access

Journal Article

Extracting Features from Foul Actions of Basketball Players in Real Time Using Machine Vision

Du, Dongxu; Chai, Linyan; Li, Minggang; Jiang, Liao; Choosakul, Chairat;

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-024-00435-6

As the global economic landscape rapidly advances and people's quality of life continues to improve, there is a noticeable increase in the demand for various sports, including basketball. Athletes of diverse skill levels find physical, social, and emotional satisfaction in engaging in basketball...

Open Access

Journal Article

Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution

Gupta, Punit; Rustam, Furqan; Kanwal, Khadija; Aljedaani, Wajdi; Alfarhood, Sultan;

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-023-00388-2

Thyroid disease has been on the rise during the past few years. Owing to its importance in metabolism, early detection of thyroid disease is a task of critical importance. Despite several existing works on thyroid disease detection, the problem of class imbalance is not investigated very well. In...

Open Access

Journal Article

Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics

Niu, Hao; Li, Linjing; Yuan, Bo; Zhu, Min; Xu, Xiuyuan;

2024 International Journal of Computational Intelligence Systems

doi:10.1007/s44196-023-00401-8

Detecting and analyzing lung lesion regions using artificial intelligence is of great significance in the medical diagnosis of lung CT images, which can substantially improve the efficiency of doctors. However, segmentation of the inflammatory region in the CT image of the lung remains...

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