Untethered Autonomous Holonomic Mobile Micromanipulator for Operations in Isolated Confined Spaces by Ryosuke Kinoshita, Rintaro Minegishi, Chihiro Sekine, Yohei Tsukui, Yuta Sunohara, Yuko Nishimura, Shogen Sekiguchi, Ohmi Fuchiwaki

“…Additionally, its multi‐scale applications are explored from centimeters to sub‐micrometers and adjusted to the magnification capabilities of various microscopes.…”
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Robust Band-Pass Filter-Based PLL-Less Approach for Three-Phase Nonsinusoidal Grid Conditions by Manish Kumar, Anant Kumar Verma, Claudio Burgos-Mellado, Raj Kumar Jarial, Ravinder Nath, Bhumaiah Jula, Diego Munoz-Carpintero, Catalina Gonzalez-Castano, Pedro Roncero-Sanchez

“…This work presents a PLL-less grid synchronization solution for three-phase applications to counter the slower dynamic response and demonstrate better immunity against the nonideality of a three-phase grid. …”
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Initial findings creating a temperature prediction model using vibroacoustic signals originating from tissue needle interactions by Michael Friebe, Witold Serwatka, Katharina Steeg, Gabriele Krombach, Hamza Oran, Oğuzhan Berke Özdil, Katarzyna Heryan, Axel Boese, Alfredo Illanes, Dominik Rzepka

“…This novel approach could pave the way for a real-time, minimally invasive method for thermal monitoring in medical applications.…”
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Cooperative Formation Control of Multiple Ships with Time Delay Conditions by Wei Tao, Jian Tan, Zhongyi Sui, Lizheng Wang, Xin Xiong

“…Simulation results demonstrate that the proposed control strategy effectively maintains formations, even in the presence of communication delays, with a convergence time of approximately 100 s and a formation error stabilizing at around 7 m. This research lays a foundation for more reliable cooperative control systems for ships, with potential applications in a variety of maritime and autonomous systems.…”
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Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems by William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, Gabriel Villarrubia Gonzalez

“…The result of the mean absolute percentage error equal to 0.0148 shows that the wavelet CNN‐LSTM is a promising machine‐learning methodology for electricity generation forecasting. …”
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Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning by Vinu Sooriyaarachchi, David J. Lary, Lakitha O. H. Wijeratne, John Waczak

“…Beyond the current test cases, this feature selection method holds potential for broader applications in other environmental monitoring applications, contributing to the development of interpretable and robust environmental models.…”
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LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models by Anik Debnath, Yong-Woon Kim, Yung-Cheol Byun

“…Human activity detection plays a vital role in applications such as healthcare monitoring, smart environments, and security surveillance. …”
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Optimization of four-diode equivalent circuit models for solar cells: Analytical formulation and performance enhancement by Martin Calasan, Snezana Vujosevic, Mohammed Alruwaili, Moustafa Ahmed Ibrahim

“…For the PHOTOWATT PWP 201 solar panel, the proposed models achieved up to a 29 % reduction in root-mean-square error (RMSE) compared to the most accurate method reported in the literature. …”
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Forecasting the development of poultry farming based on time series by Anatolii Kulyk, Katerina Fokina-Mezentseva, Alla Saiun, Daryna Saiun

“…To assess the quality of the forecast, the indicators of the mean absolute error, the standard deviation, the mean absolute error in percentage and the mean absolute scaled error for 24 months of forecasting are determined and analysed. …”
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Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study by Selene Y L Tan, Jia Xin Chai, Minwoo Choi, Umair Javaid, Brenda Pei Yi Tan, Belinda Si Ying Chow, Hairil Rizal Abdullah

“…Systolic BP predictions yielded a mean absolute percentage error of 9.52% and a mean difference of 2.69 mm Hg (SD 7.86 mm Hg). …”
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Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study by Junan Xie, Shilin Li, Zhen Song, Lin Shu, Qing Zeng, Guozhi Huang, Yihuan Lin

“…Plantar pressure signals have demonstrated potential applications in the diagnosis and rehabilitation monitoring of KOA. …”
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Exploring Machine Learning's Potential for Estimating High Resolution Daily Snow Depth in Western Himalaya Using Passive Microwave Remote Sensing Data Sets by Srinivasarao Tanniru, Dhiraj Kumar Singh, Kamal Kant Singh, RAAJ Ramsankaran

“…Abstract Snow depth (SD) exhibits high spatiotemporal heterogeneity in Western Himalaya (WH), and its knowledge is essential for applications related to water resources, disaster management, climate, etc. …”
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Design of Ellipsoid and Spherical Combined Light Source for Uniform Flux and Color Mixing by Rui-Min Zeng, Ze-Tian Tang, Cheng-Xi Xia, Yang Wang, Shan Jin, Xin Ren, Li-Feng Bian, Zhao Ding, Chen Yang

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SVD-Based Evaluation of Multiplexing in Multipinhole SPECT Systems by Aaron K. Jorgensen, Gengsheng L. Zeng

“…Multipinhole SPECT system design is largely a trial-and-error process. General principles can give system designers a general idea of how a system with certain characteristics will perform. …”
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Enhancing Intelligent Control Strategies for UAVs: A Comparative Analysis of Fuzzy Logic, Fuzzy PID, and GA-Optimized Fuzzy PID Controllers by Nigatu Wanore Madebo

“…Comparative simulations are conducted under diverse operating conditions, including external disturbances and parameter variation scenarios, with performance evaluated using the Integral of Time-weighted Absolute Error (ITAE) metric. Results demonstrate that the GAFPID controller outperforms the other approaches in terms of precision, adaptability, and robustness, establishing it as a promising solution for complex quadrotor applications.…”
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Trajectory Tracking Control of a Six-Degree-of-Freedom Manipulator Based on EAVOA-LADRC by Xinxin Shi, Haihao Yu

“…Through experimental comparison, the improved algorithm has faster convergence speed and better optimal solution, and has smaller joint angle error in the trajectory tracking control of six-degree-of-freedom manipulator based on LADRC.…”
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Snow Depth Retrieval Using Detrended SNR From GNSS-R With Bidirectional GRU by Wei Liu, Zihui Lin, Yuan Hu, Aodong Tian, Xintai Yuan, Jens Wickert

“…The Bi-GRU algorithm demonstrated high consistency with true snow depths at station P351 (coefficient of determination: 0.9766), with the root-mean-square error (RMSE) and the mean absolute error (MAE) of 9.1559 and 6.4185 cm, respectively. …”
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Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…Results demonstrate that the SCF-CNN method outperforms traditional approaches across all metrics and SNR levels, achieving over 99% prediction accuracy and nearly zero error for SNR values above 6 dB. This signifies its efficacy in reliable event-type identification for power grid applications.…”
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Variable viscosity and activation energy aspects in convection heat transfer over gravity driven solar collector plate for thermal energy storage by Nidhal Ben Khedher, Zia Ullah, Mohamed Boujelbene, O. D. Makinde, Abdullah A. Faqihi, A. F. Aljohani, Abdoalrahman S. A. Omer, Ilyas Khan

“…In validation of results, the 0.00064% percentage error for heat transport and 0.00102% percentage error for mass transmission are deduced.…”
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Evaluation of ground based spectral imaging for real time maize biomass monitoring by Andrea Szabó, Andrea Szabó, Nxumalo Gift Siphiwe, Nxumalo Gift Siphiwe, Erika Buday-Bódi, Erika Buday-Bódi, Blessing Ademola, János Tamás, János Tamás, Attila Nagy, Attila Nagy

“…The carotenoid prediction model, with a moderate R² (0.54), exhibited a slight overestimation, characterized by a Mean Bias Error (MBE) of 0.02 µg/g and a Normalized Root Mean Square Error (NRMSE) of 17%. …”
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