Multi-UAV Reinforcement Learning With Realistic Communication Models: Recent Advances and Challenges by Tiziana Cattai, Francesco Frattolillo, Andrea Lacava, Prasanna Raut, Jennifer Simonjan, Salvatore D'Oro, Tommaso Melodia, Evgenii Vinogradov, Enrico Natalizio, Stefania Colonnese, Francesca Cuomo, Luca Iocchi

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Technological advances in wireless sensor networks enabling diverse Internet of Things applications by Seong-eun Yoo, Albert MK Cheng, Poh K Chong, Tomas S Lopez, Taehong Kim

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RETRACTED: Advances in Design and Development of High-Performance Super Alloys for Extreme Environments by Swathi Baswaraju, Varasree B., Kumari Vandna, Jayronia Sonali, Saeed Hazim Y., Kumar Manish

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Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data by Subhieh El-Salhi, Bashar Igried, Sari Awwad

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Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom

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The Role of Mechatronics in Advancing Home Economics and Hospitality: Implications for Technological and Economic Development by Ngozi A. Alio, Ikechukwu J. Ogbonna, Chinyere K. Ugwuoke, Ikechukwu E. Mamah

“…Mechatronics, an interdisciplinary field merging mechanical, electrical, and computer engineering, has emerged as a powerful driving force for technological advancement and economic growth. …”
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Decoding skin cancer classification: perspectives, insights, and advances through researchers’ lens by Amartya Ray, Sujan Sarkar, Friedhelm Schwenker, Ram Sarkar

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Laplacian Controllability and Observability of Multi-Agent Systems: Recent Advances in Tree Graphs by Gianfranco Parlangeli

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The impact of LLM chatbots on learning outcomes in advanced driver assistance systems education by Mohsin Murtaza, Chi-Tsun Cheng, Bader M. Albahlal, Muhana Magboul Ali Muslam, Mansoor Syed Raza

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Recent Advances in High-Entropy Ceramics: Synthesis Methods, Properties, and Emerging Applications by Piyush Chandra Verma, Sunil Kumar Tiwari, Ashish Saurabh, Abhinav Manoj

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Recent Advances in Creep Modelling Using the <i>θ</i> Projection Method by William Harrison

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Advances in Zeroing Neural Networks: Bio-Inspired Structures, Performance Enhancements, and Applications by Yufei Wang, Cheng Hua, Ameer Hamza Khan

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Biomechanical perspectives on image-based hip fracture risk assessment: advances and challenges by Yunhua Luo, Yunhua Luo

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Breaking Through GNSS Outage: Advanced Stochastic Model for MEMS IMU in Navigation by Ahmed Shahrawy, Mahmoud A. Shawky, Adel M. Soliman, Wali Ullah Khan, Ahmad Almogren, Ahmed G. Abdellatif, Syed Tariq Shah

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A Review of the Technological Advances in the Design of Highly Efficient Perovskite Solar Cells by George G. Njema, Joshua K. Kibet

“…The fabrication and simulation of perovskite solar cells has been made possible with advanced technologies and state-of-the-art computational codes. …”
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Quantum-Secure Coherent Optical Networking for Advanced Infrastructures in Industry 4.0 by Ofir Joseph, Itzhak Aviv

“…These high-capacity infrastructures, coupled with advanced digital signal processing and phase-sensitive detection, enable real-time data exchange for automated manufacturing, robotics, and interconnected factory systems. …”
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Multi-Step Prediction of TBM Tunneling Speed Based on Advanced Hybrid Model by Defu Liu, Yaohong Yang, Shuwen Yang, Zhixiao Zhang, Xiaohu Sun

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Advances in Light Field Spatial Super-Resolution: A Comprehensive Literature Survey by Wenqi Lyu, Hao Sheng, Wei Ke, Xiao Ma

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Advances in the pilot point inverse method: Où En Sommes-Nous maintenant? by White, Jeremy, Lavenue, Marsh

“…Herein, we provide an update to de Marsily’s paper entitled “Four Decades of Inverse Problems in Hydrogeology” [De Marsily et al., 2000], but with a particular focus on the incredible adoption and advancement of de Marsily’s PPM and related inverse techniques over the last twenty years in the field of predictive groundwater modeling.Much has been written about the vast array of inverse techniques developed by researchers and practitioners since the 1960s. de Marsily’s PPM, like many methods developed in the late 70s and early 80s, structured its approach to parameterization to overcome many of the challenges of applying inverse methods to real world problems, namely, limited head and transmissivity data relative to the number of unknowns to be estimated, measurement errors, inferred covariance structures of the state variables, and limited computational resources. …”
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Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

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