Multiobjective Route Optimization for Multimodal Cold Chain Networks Considering Carbon Emissions and Food Waste by Yong Peng, Yali Zhang, Dennis Z. Yu, Yijuan Luo

“…We evaluate the proposed algorithm’s performance by analyzing various convergence and distribution indicators. …”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…NTRU (Nth degree Truncated polynomial Ring Unit) is a promising algorithm in this new branch of cryptography. It requires further research to overcome its weaknesses, notably the lack of security standards. …”
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ANALYSIS OF THE RESULTS OF SIMULATIVE MODELLING OF THE INFORMATION SECURITY SYSTEM IN THE CORPORATE NETWORKS OF HIGHER EDUCATION INSTITUTIONS by Vagif Gasimov, Balami Ismailov

“…Prospects for further research include research and development of the principles of hardware and software implementation of ISS in service networks. …”
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Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems by Talha Ansar, Waqar Muhammad Ashraf

“…Considering the improved interpretable performance of Kolmogorov–Arnold Networks (KAN) algorithm compared to multi-layer perceptron (MLP) algorithm, a fundamental research question arises on how modifying the loss function of KAN affects its modelling performance for energy systems, particularly industrial-scale thermal power plants. …”
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An Industrial Add-On for Precision Die-Centering in Catheter Extrusion Using Visual Servoing by Han Chang Lee, Byeong Hak Kim, Jong Pil Yun, Gyu Man Kim, Woojin Kim, Hong-In Won

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Task Allocation and Path Planning Method for Unmanned Underwater Vehicles by Feng Liu, Wei Xu, Zhiwen Feng, Changdong Yu, Xiao Liang, Qun Su, Jian Gao

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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…Subsequently, the optimized K-means algorithm, utilizing K-means++ for clustering centre initialization and determining the optimal number of clusters via Silhouette coefficients, is employed to segment the fruit stalk region. …”
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A Hardware Accelerator for Real-Time Processing Platforms Used in Synthetic Aperture Radar Target Detection Tasks by Yue Zhang, Yunshan Tang, Yue Cao, Zhongjun Yu

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Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics by Saad M. Darwish, Amr Ibrahim Salama, Adel A. Elzoghabi

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An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations by Sainadh Singh Kshatri, Venkata Anjani Kumar G, Chilakapati Lenin Babu, Palepu Suresh Babu

“…The proposed methodology leverages the Grey Wolf Optimization (GWO) metaheuristic algorithm, enthused by the grey wolves hunting, to identify the most strategic locations for EVCSs. …”
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Cancer Patients Missing Pain Score Information:- Application with Imputation Techniques by Gajendra Vishwakarma, Atanu Bhattacharjee, Jesna Jose, Ramesh V

“…Background: Methods for handling missing data in clinical research have been getting more attentions over last few years. …”
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Integration of Deep Learning and Machine Learning Techniques for Advancing the Detection of Plant Diseases by Abdul Karim, Touqeer Ahmed Jumani, Muhammad Amir Raza, Shadi Khan Baloch, Nouman Qadeer Soomro, Muhammad Masud, Muhammad Salman Saeed, Mouaaz Nahas, Aamir Ali Patoli

“…Detection of new diseases which were not detected earlier is another primary aim of this research. For the detection of the unknown kind of diseases in plants, the Density‐Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm was utilized for clustering the similar captured images and for disease classification; then CNN XGBoost was applied on the newly developed dataset. …”
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A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection by Xu Yan, Junliang Du, Xuan Li, Xiaoye Wang, Xiaoxuan Sun, Pochun Li, Hongye Zheng

“…Small target detection is an important research direction in computer vision, widely applied in scenarios such as drone monitoring, remote sensing image analysis, and autonomous driving. …”
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Creating the First Autonomous Systems of Internet in Siberia as a Spatial Diffusion of Innovations by Viktor Ivanovich Blanutsa

“…Therefore, the purpose of our research was to identify the spatial and temporal features of the first autonomous systems’ creation in Siberia using a specially developed algorithm for machine generation of rules and meta-rules. …”
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Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning by Zihao Wang, Zhiwei Zhang, Wenying Dou, Guangpeng Hu, Lifu Zhang, Meng Zhang

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Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration by Shripad V. Deshpande, Harikrishnan R, Babul Salam KSM Kader Ibrahim, Mahesh Datta Sai Ponnuru

“…Mobile robot path planning involves decision-making in uncertain, dynamic conditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. …”
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Contrastive Transformer Network for Track Segment Association with Two-Stage Online Method by Zongqing Cao, Bing Liu, Jianchao Yang, Ke Tan, Zheng Dai, Xingyu Lu, Hong Gu

“…Additionally, we tackle dynamic association scenarios with a two-stage online algorithm designed to manage tracks that appear or disappear at any time. …”
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A Novel Hybrid Metaheuristic MPA-PSO to Optimize the Properties of Viscous Dampers by Elmira Shemshaki, Mohammad Hasan Haddad, Mohammadreza Mashayekhi, Seyyed Meisam Aghajanzadeh, Ali Majdi, Ehsan Noroozinejad Farsangi

“…These results validate the performance and advantages of the proposed hybrid algorithm.…”
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Explainable machine learning for predicting lung metastasis of colorectal cancer by Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao

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Energy-efficient strategy for data migration and merging in Storm by Yonglin PU, Jiong YU, Liang LU, Ziyang LI, Chen BIAN, Bin LIAO

“…Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem,the resource constraint model,the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on the analysis of the architecture and topology of Storm,and further the energy-efficient strategy for data migration and merging was put forward in Storm(DMM-Storm),which was composed of resource constraint algorithm,data migration and merging algorithm as well as node voltage reduction algorithm.The resource constraint algorithm estimates whether work nodes are appropriate for data migration according to the resource constraint model.The data migration and merging algorithm designs an optimal method to migrate data according to the the optimal principle of data reorganization in executors.The node voltage reduction algorithm reduces voltage of work nodes according to node voltage reduction principle.The experimental results show that the DMM-Storm can reduce energy consumption efficiently without affecting the performance of cluster compared with the existing researches.…”
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