Selección del periodo para la minimización del hiperperiodo by Vicent Brocal, Patricia Balbastre

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Robust Task Offloading and Trajectory Optimization for UAV-Mounted Mobile Edge Computing by Runhe Wang, Yang Huang, Yiwei Lu, Pu Xie, Qihui Wu

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Open source automated insulin delivery systems: experience of russian patients by V. V. Klimontov, K. S. Shishin

“…Accordingly, the medical community has very little information about the treatment satisfaction and needs of patients that use these systems. …”
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Light positioning: A high-accuracy visible light indoor positioning system based on attitude identification and propagation model by Qu Wang, Haiyong Luo, Aidong Men, Fang Zhao, Xile Gao, Jie Wei, Yuexia Zhang, Yan Huang

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Exploring Passengers’ Dependency Variety on Stations’ Functions in Urban Subway by Xia Zhao, Pengpeng Jiao, Yong Zhang, Chenjing Zhou

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Enhancing diabetic retinopathy detection through federated convolutional neural networks: Exploring different stages of progression by Saad Alanazi, Rayan Alanazi

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Hybrid subnet-based node failure recovery formal procedure in wireless sensor and actor networks by Hamra Afzaal, Nazir Ahmad Zafar, Fahad Alhumaidan

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Next-Gen Connectivity: Exploring UAV Swarm Applications in Cell-Free Massive MIMO for IIoT by Reem Alkanhel, Ghada Atteia, Mohamed Amine Ouamri, Mohammed Saleh Ali Muthanna, Daljeet Singh, Ahmed Aziz, Ammar Muthanna

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A comparative analysis of machine learning-based methods for impervious surface mapping using SAR and optical data by Siqi He, Lihong Zhu, Yiman Li, Qing Xia, Qiong Zheng, Zheng Wang, Xinyu Zou

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UAV Autonomous Navigation Based on Deep Reinforcement Learning in Highly Dynamic and High-Density Environments by Yuanyuan Sheng, Huanyu Liu, Junbao Li, Qi Han

“…This paper proposes a DRL-based autonomous navigation algorithm for UAVs, which enables autonomous path planning for UAVs in high-density and highly dynamic environments. …”
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Quality Management in Software Development by M. D. Birulia

“…You can work with individual components to create an optimal plan for achieving quality management goals.…”
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Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

“…The features of higher importance were identified to build the model in the first stage using the logistic regression algorithm. In the second stage, the support vector machine algorithm, a critical supervised learning algorithm, was used to classify the customers and rank the essential features. …”
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A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks by Peng Gao, Weiren Shi, Wei Zhou, Hongbing Li, Xiaogang Wang

“…Then, one certain localization result can be obtained using MLE algorithm. After that, based on the path-planning model and some previous localization results, the most likely position of the target in the next time interval can be predicted with the proposed predicting approach. …”
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A Novel Optimization Approach for Educational Class Scheduling with considering the Students and Teachers’ Preferences by Yu Chen, Mahmonir Bayanati, Maryam Ebrahimi, Sadaf Khalijian

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Design of a Support System for Complicated Logistics Location Integrating Big Data by Yusi Cheng, Xinwei Pan

“…Logistics location is an important component of logistics planning that affects traffic pressure and vehicle emissions. …”
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Research on an Apple Recognition and Yield Estimation Model Based on the Fusion of Improved YOLOv11 and DeepSORT by Zhanglei Yan, Yuwei Wu, Wenbo Zhao, Shao Zhang, Xu Li

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Spatial Analysis on Networks: Towards identifying similarity of routes by Panagiotis Agourogiannis, Dimitris Kavroudakis, Marios Batsaris

“… Finding an optimal path in a road network is a method of planning and decision-making that is mainly related to transportations and emergency response. …”
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Obstacle Avoidance Control of Autonomous Undersea Vehicle Based on DVFH+ in Ocean Current Environment by Zhongben ZHU, Jiahao ZHANG, Yifan XUE, Hongde QIN

“…Simulation experiments using the REMUS 100 AUV model show that DVFH+ can provide a smoother and more feasible obstacle avoidance route, making it suitable for AUV obstacle avoidance in complex environments while effectively preventing issues such as detouring and planning failure caused by improper threshold settings in the original algorithm.…”
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A Secure Data Collection Method Based on Deep Reinforcement Learning and Lightweight Authentication by Yunlong Wang, Jie Zhang, Guangjie Han, Dugui Chen

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Design and Implementation of a Position-Based Coordinated Formation System for Underwater Multiple Small Spherical Robots by Xihuan Hou, Shuxiang Guo, Zan Li, Huimin Shi, Na Yuan, Huiming Xing

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