Mobile Robot Obstacle Avoidance Based on Neural Network with a Standardization Technique by Karoline Kamil A. Farag, Hussein Hamdy Shehata, Hesham M. El-Batsh

“…Reactive algorithm in an unknown environment is very useful to deal with dynamic obstacles that may change unexpectantly and quickly because the workspace is dynamic in real-life applications, and this work is focusing on the dynamic and unknown environment by online updating data in each step toward a specific goal; sensing and avoiding the obstacles coming across its way toward the target by training to take the corrective action for every possible offset is one of the most challenging problems in the field of robotics. …”
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Editorial by Christian Gütl

“…Dear Readers,It gives me great pleasure to announce the sixth regular issue of 2025. …”
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Optimizing Fairness and Spectral Efficiency With Shapley-Based User Prioritization in Semantic Communication by Moirangthem Tiken Singh, Adnan Arif, Rabinder Kumar Prasad, Bikramjit Choudhury, Chandan Kalita, Sikdar Md. S. Askari

“…The Shapley-based approach outperforms established methods, including the Hungarian algorithm, reinforcement learning algorithms like Deep Q-Network (DQN) and Proximal Policy Optimization (PPO), as well as conventional 4G and 5G resource allocation strategies. …”
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A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells by Bhukya Laxman, Ramesh Gugulothu, Surender Reddy Salkuti

“…Additionally, the proposed approach showed improvements in power efficiency by 2.47 %, 2.87 %, and 13.58 % for the Jaya algorithm. demonstrating effective MPPT tracking under different operating conditions and perturbations. …”
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A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems by Badreddine Kanouni, Abd Essalam Badoud, Saad Mekhilef, Ahmed Elsanabary, Mohit Bajaj, Ievgen Zaitsev

“…This approach was tested and found to outperform conventional MPPT methods like Perturb and Observe (P&O) and Incremental Conductance (IC) in terms of tracking duration, precision, and voltage balancing, achieving a 15% reduction in tracking duration, a 5% deviation from the MPP value for voltage, and superior stability under changing temperature and pressure.…”
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Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study by Shaik Hussain, Rajitha Morampudi, Priyamvada K., Bhargavi R. Naveena

“…For MFO, the optimal solution is found using the IBM quantum machine, despite its longer execution time. Similarly, GA achieves the best results on the IBM quantum machine. …”
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A real‐time cognitive map construction method based on the entorhinal‐hippocampal working mechanism of the rat's brain by Yishen Liao, Naigong Yu

“…To validate the method, the authors designed simulation experiments, dataset experiments, and physical experiments. …”
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Investigation on the Aerodynamic Parameters of the Triangle Shape of Tall Buildings by Using of CFD Method by Mehdi Noormohamadian, Eysa Salajegheh

“…However, this approach cannot improve aerodynamic parameters either. Hence, computational fluid dynamics is used to deeply analyze. …”
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An mRNA Vaccine for Herpes Zoster and Its Efficacy Evaluation in Naïve/Primed Murine Models by Linglei Jiang, Wenshuo Zhou, Fei Liu, Wenhui Li, Yan Xu, Zhenwei Liang, Man Cao, Li Hou, Pengxuan Liu, Feifei Wu, Aijun Shen, Zhiyuan Zhang, Xiaodi Zhang, Haibo Zhao, Xinping Pan, Tengjie Wu, William Jia, Yuntao Zhang

“…The cause of shingles is the reactivation of dormant VZV in the dorsal root ganglia/cranial nerves of the human body. …”
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Integration of Hybrid Machine Learning and Multi-Objective Optimization for Enhanced Turning Parameters of EN-GJL-250 Cast Iron by Yacine Karmi, Haithem Boumediri, Omar Reffas, Yazid Chetbani, Sabbah Ataya, Rashid Khan, Mohamed Athmane Yallese, Aissa Laouissi

“…Advanced optimization models including improved grey wolf optimizer–deep neural networks (DNN-IGWOs), genetic algorithm–deep neural networks (DNN-GAs), and deep neural network–extended Kalman filters (DNN-EKF) were compared with traditional methods like Support Vector Machines (SVMs), Decision Trees (DTs), and Levenberg–Marquardt (LM). …”
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From Extractive to Generative: An Analysis of Automatic Text Summarization Techniques by Liu Zixu

“…With the explosive growth of digital content, the demand for effective information retrieval and summarization has become increasingly important. …”
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Random Regret-Minimization Model for Emergency Resource Preallocation at Freeway Accident Black Spots by Siliang Luan, Qingfang Yang, Wei Wang, Zhongtai Jiang, Ruru Xing, Ruijuan Chu

“…Due to the computational complexity of our model, a genetic algorithm is developed to solve a large-scale instance of the problem. …”
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A Systematic Mapping Study on State Estimation Techniques for Lithium-Ion Batteries in Electric Vehicles by Carolina Tripp-Barba, José Alfonso Aguilar-Calderón, Luis Urquiza-Aguiar, Aníbal Zaldívar-Colado, Alan Ramírez-Noriega

“…For estimating SoH, prevalent data-driven techniques include support vector regression (SVR) and Gaussian process regression (GPR), alongside hybrid models merging machine learning with conventional estimation techniques to heighten predictive accuracy. …”
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Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models by Sami Naouali, Oussama El Othmani

“…Against baseline classifiers without feature selection and MLVarianceThreshold, our framework delivers significant improvements, establishing RST as a vital tool for explainable AI (XAI) in healthcare diagnostics and IoT systems. …”
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Numerical simulation of a borehole sidewall acoustic transmitter for single-well reflection imaging logging用于单井反射成像测井的井眼侧壁声发射器的数值模拟 by Jianlin Ben, Hong Zhang, Lingfan Chen

“…Utilizing a three-dimensional finite-difference algorithm, the study conducts a numerical simulation of acoustic reflection imaging logging with the transmitter, successfully acquiring acoustic field data from both the borehole and the surrounding rock formation. …”
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Research on Multi-sensor Fusion Localization for Autonomous-rail Rapid Tram by PAN Wenbo, LI Yuanzhengyu, LONG Teng, CHEN Zhiwei, HUANG Wenyu, QIN Xiaohui

“…The angle estimation error of LiDAR is within 0.35° and the position error is within 0.15 m during the whole operation process, which verifies the effectiveness and robustness of the proposed algorithm.…”
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GROG Facilitated Compressed Sensing for Radial MRI by Yumna Bilal, Ibtisam Aslam, Muhammad Faisal Siddiqui, Omair Inam, Kashif Amjad, Jawad Hasan Alkhateeb, Hammad Omer

“…In the proposed framework, GRAPPA operator gridding is applied as a first step, on multi-coil undersampled radial data to generate randomly blipped BPE points. The GROG-generated BPE points (non-Cartesian data) are mapped to the Cartesian grid using self-calibrating GRAPPA operator gridding prior to CS-based image reconstruction. …”
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Artificial Intelligence in Orthopedic Medical Education: A Comprehensive Review of Emerging Technologies and Their Applications by Kyle Sporn, Rahul Kumar, Phani Paladugu, Joshua Ong, Tejas Sekhar, Swapna Vaja, Tamer Hage, Ethan Waisberg, Chirag Gowda, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

“…However, we still face many barriers that relate to standardizing data, algorithm evaluation, ethics, and the curriculum. …”
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Personalization of Robot Behavior Using Approach Based on Model Predictive Control by Mateusz Jarosz, Bartlomiej Sniezynski

“…Our approach enables the design of adaptive interfaces that support fluid, personalized human–robot interactions. …”
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Multi-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child–Robot Interactions by Paul Baxter

“…A large touchscreen is employed as a mediating device between a child and a robot. Collaborative sCRI is emphasised, with the touchscreen providing a common set of interaction affordances for both child and robot. …”
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