Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…The study proposes a novel method for reconstructing missing regions in depth maps, aimed at improving the accuracy of autonomous navigation in agricultural robotic systems. (Research purpose) The primary objective is to develop a method capable of compensating for data loss in depth maps, thereby improving the performance of Simultaneous Localization and Mapping (SLAM) systems. …”
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Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…Unlike conventional methods that rely on static, precomputed paths, the proposed approach dynamically adapts the reference trajectory using real-time sensor feedback and the system’s physical model. The PD-PINN incorporates proportional-derivative error terms into a physics-informed learning process, where the loss function explicitly embeds the system’s governing equations into the backpropagation algorithm. …”
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A robust pressure drop prediction model in vertical multiphase flow: a machine learning approach by Fahd Saeed Alakbari, Mohammed Abdalla Ayoub, M. A. Awad, Tarek Ganat, Mysara Eissa Mohyaldinn, Syed Mohammad Mahmood

“…This study introduces a novel Adaptive Neuro-Fuzzy Inference System (ANFIS) model for accurately predicting pressure drops in vertical wells carrying multiphase fluids. …”
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Solar Energy Datasets of Deep Learning Models Incorporating with GK-2A and ASOS Ground Measurements by Jong-Sung Ha, Seungtaek Jeong, Seyun Min, Yejin Lee, Suhwan Kim, Doehee Han, Jong-Min Yeom

“…For training and evaluating the accuracy of the deep learning model, we utilized data from 98 automated synoptic observing system ground observation sites operated by the Korea Meteorological Administration. …”
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Sustainable Strategies and Factors Influencing IoT Adoption Frameworks in Library Management in Educational Institutions: A Systematic Literature Review [version 2; peer review: 2... by Sulaiman Saleem PATEL, Oluwasegun Julius Aroba, Frank Boateng

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Design, proof-of-concept of single robotic hair transplant mechanisms for both harvest and implant of hair grafts by Rattapon Thuangtong, Jackrit Suthakorn

“…Additionally, the overall operation time for follicular unit extraction is comparatively shorter than that of conventional systems. …”
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All-Weather Retrieval of Total Column Water Vapor From Aura OMI Visible Observations by Jiafei Xu, Zhizhao Liu

“…The global TCWV data, observed from 6000 global navigation satellite system (GNSS)-based training stations in 2017, are utilized as the expected TCWV estimates in the algorithm training process. …”
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INFO-RF-based fault diagnosis and analysis method for busbars by Chen Xue, Jian Zhu, Haiou Cao, Yan Gu, Siyu Chen

“…Abstract With the continuous expansion of power system scale and advancements in intelligence, the accuracy and timeliness of busbar fault diagnosis-an essential component of the power system-are crucial for ensuring the safe and stable operation of the grid. …”
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Research on fault monitoring of belt conveyor based on FBG sensor by Xinqiu FANG, Yang WU, Yang SONG, Ningning CHEN, Yulong FENG, Haotian FENG, Dexing HE, Fukang QIAO

“…This system underscores the cruciality of designing a fiber-optic sensor array as a fundamental prerequisite for system establishment.Secondly, building upon an analysis of the root causes and manifestations of common faults in belt conveyors, a series of fault monitoring sensors are devised, with FBG-based equal-strength cantilever beams serving as the core sensing elements. …”
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Enhancing State of Health Prediction Accuracy in Lithium-Ion Batteries through a Simplified Health Indicator Method by Dongxu Han, Nan Zhou, Zeyu Chen

“…The results demonstrate that the area-weighted incremental capacity method significantly enhances battery health monitoring accuracy, contributing to the development of sustainable and efficient energy storage systems.…”
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Research on the phased development characteristics of pantograph catenary arc under low air pressure and strong airflow by XU Yue, QIAN Pengyu, CHEN Huan, PENG Wei, YANG Zefeng

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Design Methodology for Optimized Control of High-Power Quadratic Buck Converters Using Sliding Mode and Hybrid Controllers by Rafael Antonio Acosta-Rodriguez, Fredy Hernan Martinez-Sarmiento, German Ardul Munoz-Hernandez

“…Comparative analysis against conventional PID control demonstrates the superiority of the SMC, particularly in managing complex operational scenarios. This work provides a significant advancement in the control of quadratic Buck converters, offering a comprehensive framework for implementing reliable and efficient control strategies, and paving the way for future applications in high-power systems.…”
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TO THE QUESTION OF OPTIMISING THE DYNAMIC CHARACTERISTICS OF A VIBRATIONAL TREE UPROOTING MACHINE by A. R. Mikhitarov, V. L. Savich, V. K. Khegai

“…Consequently, the development of machines combining cutting (logging) and uprooting operations – that is, uprooting the trees along with their roots – are of a great interest. …”
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Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources by Md Tariqul Islam, M. Jahangir Hossain, Md. Ahasan Habib, Muhammad Ahsan Zamee

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The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution by Giuseppe Caso, Mohammad Rajiullah, Konstantinos Kousias, Usman Ali, Nadir Bouzar, Luca De Nardis, Anna Brunstrom, Ozgu Alay, Marco Neri, Maria-Gabriella Di Benedetto

“…Fifth Generation (5G) systems have been commercially available worldwide for at least a couple of years, with mid-band Non-Standalone (NSA) being the deployment mode preferred by Mobile Network Operators (MNOs). …”
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Food value chains configurations and resilience of rural mountain communities: three dairy business models in central Apennines (Italy) by Angelo Belliggiano, Corrado Ievoli, Sara Bispini, Mauro Conti

“…The research was held in “Alto Molise,” a mountain area embedded in a small region of southern Italy, focusing on the dairy value chain of the “caciocavallo cheese,” historically rooted in the socio-ecological system of the mountain reference landscape. …”
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Comprehensive insights into biological and bio-electrochemical treatment of the sago industry wastewater: Challenges and future perspectives by Subramaniapillai Niju, V. Shruthi, K. Priyadharshini

“…However, the processing of tapioca roots requires a large quantity of water and simultaneously generates a large volume of the wastewater. …”
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Enhancing Long-Duration Multi-Person Tracking in Hospitality Settings Through Random-Skip Sub-Track Correction by Yu Nakayama, Masayuki Mikuriya, Fumitoshi Ogino

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Multi-model learning for vessel ETA prediction in inland waterways using multi-attribute data by Abdullah Al Noman, Anton Zitnikov, Aaron Heuermann, Klaus-Dieter Thoben

“…Predicting vessel Estimated Time of Arrival (ETA) with accuracy and consistency is integral to Intelligent Transportation Systems (ITS), enabling reduced delays, enhanced operational efficiency, and more sustainable maritime logistics. …”
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Optimized XGBoost modeling for accurate battery capacity degradation prediction by Sadiqa Jafari, Ji-Hyeok Yang, Yung-Cheol Byun

“…Specifically, calculating the remaining capacity is essential for guaranteeing safe operations, which has prompted the creation of accurate capacity estimate models. …”
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