Featured Research from Computers, Materials & Continua (Vol. 80, No. 3, 2024)

We are happy to share a selection of research articles from Computers, Materials & Continua (Vol. 80, No. 3, 2024). These papers cover a range of topics, including artificial intelligence, autonomous systems, machine learning, and cybersecurity. Below is a brief overview of each article, offering readers insights and ideas for future research.

1. Enhanced UAV Pursuit-Evasion Using Boids Modelling: A Synergistic Integration of Bird Swarm Intelligence and DRL

Authors: Weiqiang Jin, Xingwu Tian, Bohang Shi, Biao Zhao*, Haibin Duan, Hao Wu

Citation: W. Jin, X. Tian, B. Shi, B. Zhao, H. Duan, and H. Wu "Enhanced UAV Pursuit-Evasion Using Boids Modelling: A Synergistic Integration of Bird Swarm Intelligence and DRL," Comput. Mater. Contin., vol. 80, no. 3, pp. 3523-3553. 2024. https://doi.org/10.32604/cmc.2024.055125

2. Enhancing Safety in Autonomous Vehicle Navigation: An Optimized Path Planning Approach Leveraging Model Predictive Control

Authors: Shih-Lin Lin*, Bo-Chen Lin

Citation: S. Lin and B. Lin, "Enhancing Safety in Autonomous Vehicle Navigation: An Optimized Path Planning Approach Leveraging Model Predictive Control," Comput. Mater. Contin., vol. 80, no. 3, pp. 3555-3572. 2024. https://doi.org/10.32604/cmc.2024.055456

3. Machine Fault Diagnosis Using Audio Sensors Data and Explainable AI Techniques-LIME and SHAP

Authors: Aniqua Nusrat Zereen, Abir Das, Jia Uddin*

Citation: A.N. Zereen, A. Das, and J. Uddin "Machine Fault Diagnosis Using Audio Sensors Data and Explainable AI Techniques-LIME and SHAP," Comput. Mater. Contin., vol. 80, no. 3, pp. 3463-3484. 2024. https://doi.org/10.32604/cmc.2024.054886

4. Confusing Object Detection: A Survey

Authors: Kunkun Tong, Guchu Zou, Xin Tan*, Jingyu Gong, Zhenyi Qi, Zhizhong Zhang, Yuan Xie, Lizhuang Ma

Citation: K. Tong et al., "Confusing Object Detection: A Survey," Comput. Mater. Contin., vol. 80, no. 3, pp. 3421-3461. 2024. https://doi.org/10.32604/cmc.2024.055327

5. Survey on Video Security: Examining Threats, Challenges, and Future Trends

Authors: Ali Asghar, Amna Shifa, Mamoona Naveed Asghar*

Citation: A. Asghar, A. Shifa, and M.N. Asghar "Survey on Video Security: Examining Threats, Challenges, and Future Trends," Comput. Mater. Contin., vol. 80, no. 3, pp. 3591-3635. 2024. https://doi.org/10.32604/cmc.2024.054654

6. Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System

Authors: Farhan Amin, Gyu Sang Choi*

Citation: F. Amin and G.S. Choi, "Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System," Comput. Mater. Contin., vol. 80, no. 3, pp. 3507-3521. 2024. https://doi.org/10.32604/cmc.2024.053183

7. Network Traffic Synthesis and Simulation Framework for Cybersecurity Exercise Systems

Authors: Dong-Wook Kim, Gun-Yoon Sin, Kwangsoo Kim, Jaesik Kang, Sun-Young Im, Myung-Mook Han*

Citation: D. Kim, G. Sin, K. Kim, J. Kang, S. Im, and M. Han "Network Traffic Synthesis and Simulation Framework for Cybersecurity Exercise Systems," Comput. Mater. Contin., vol. 80, no. 3, pp. 3637-3653. 2024. https://doi.org/10.32604/cmc.2024.054108

8. Q-Learning-Assisted Meta-Heuristics for Scheduling Distributed Hybrid Flow Shop Problems

Authors: Qianyao Zhu, Kaizhou Gao1*, Wuze Huang, Zhenfang Ma, Adam Slowik

Citation: Q. Zhu, K. Gao, W. Huang, Z. Ma, and A. Slowik "Q-Learning-Assisted Meta-Heuristics for Scheduling Distributed Hybrid Flow Shop Problems," Comput. Mater. Contin., vol. 80, no. 3, pp. 3573-3589. 2024. https://doi.org/10.32604/cmc.2024.055244

9. Metaheuristic-Driven Two-Stage Ensemble Deep Learning for Lung/Colon Cancer Classification

Authors: Pouyan Razmjouei, Elaheh Moharamkhani, Mohamad Hasanvand, Maryam Daneshfar, Mohammad Shokouhifar*

Citation: P. Razmjouei, E. Moharamkhani, M. Hasanvand, M. Daneshfar, and M. Shokouhifar "Metaheuristic-Driven Two-Stage Ensemble Deep Learning for Lung/Colon Cancer Classification," Comput. Mater. Contin., vol. 80, no. 3, pp. 3855-3880. 2024. https://doi.org/10.32604/cmc.2024.054460

10. Improving Prediction Efficiency of Machine Learning Models for Cardiovascular Disease in IoST-Based Systems through Hyperparameter Optimization

Authors: Tajim Md. Niamat Ullah Akhund*, Waleed M. Al-Nuwaiser

Citation: T.M.N.U. Akhund and W.M. Al-Nuwaiser, "Improving Prediction Efficiency of Machine Learning Models for Cardiovascular Disease in IoST-Based Systems through Hyperparameter Optimization," Comput. Mater. Contin., vol. 80, no. 3, pp. 3485-3506. 2024. https://doi.org/10.32604/cmc.2024.054222

About the journal

Computers, Materials & Continua publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials. Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.

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