False data intrusion detection method for power grid based on deep machine learning by ZHU Wen, HU Yaping, NIE Yongquan, JIANG Wei, XIE Hu

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On the Evaluation of the Hyperthermic Efficiency of Magnetic Scaffolds by Matteo B. Lodi, Antonios Makridis, Konstantina Kazeli, Theodoros Samaras, Makis Angelakeris, Giuseppe Mazzarella, Alessandro Fanti

“…<italic>Goal:</italic> Deep-seated tumors (DST) can be treated using thermoseeds exposed to a radiofrequency magnetic field for performing local interstitial hyperthermia treatment (HT). Several research efforts were oriented to the manufacturing of novel biocompatible magnetic nanostructured thermo-seeds, called magnetic scaffolds (MagS). …”
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Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic... by Jimmy Londono, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, Mahmood Dashti

“…ML-based cephalometric imaging reduces errors, improves accuracy, and saves time. Method: In this study, we conducted a meta-analysis and systematic review to evaluate the accuracy of ML software for detecting and predicting anatomical landmarks on two-dimensional (2D) lateral cephalometric images. …”
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Critical values for 33 discordancy test variants for outliers in normal samples up to sizes 1000, and applications in quality control in Earth Sciences by Surendra P. Verma, Alfredo Quiroz-Ruiz, Lorena Díaz-González

“…For the first time in the literature, the standard error of the mean is also reported explicitly and individually for each critical value. …”
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Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models by Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq

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Development and application of a robotic coal analysis system for process control in coal preparation by Qi LIU, Yu LIANG, Hong ZHANG, Mingxing WANG, Bao ZONG, Kun YANG, Jinxiang ZHAO, Junwei PEI, Feng ZHANG, Ying LIN

“…The key factors affecting the ashing rate of coal samples are investigated, and an optimized approach using oxygen-enriched combustion technology for ash content determination is proposed. The research demonstrates that when the oxygen flow rate in a muffle furnace exceeds 3 L/min, the test results are consistent with national standards, reducing the measurement time from 40 minutes to 10 minutes, with a maximum repeatability error of no more than 0.20%. …”
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Temperature Effects on Wicking Dynamics: Experimental and Numerical Study on Micropillar-Structured Surfaces by Yoomyeong Lee, Hyunmuk Park, Hyeon Taek Nam, Yong-Hyeon Kim, Jae-Hwan Ahn, Donghwi Lee

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Precision and Reliability of a Dynamometer for Trunk Extension Strength and Steadiness Assessment by Franciele Parolini, Márcio Goethel, Johan Robalino, Klaus Becker, Manoela Sousa, Barbara C. Pulcineli, Ulysses F. Ervilha, João Paulo Vilas-Boas, Rubim Santos

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Improving chlorophyll-a estimation using Sentinel-2 data: a comparative analysis of augmented datasets by Jinmyeong Lee, Do Hyuck Kwon, Heewon Jeong, Gibeom Nam, Euiho Hwang, Jin Hwi Kim, Kyung Hwa Cho, Hyo Gyeom Kim

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Smart Management of Energy Losses in Distribution Networks Using Deep Neural Networks by Ihor Blinov, Virginijus Radziukynas, Pavlo Shymaniuk, Artur Dyczko, Kinga Stecuła, Viktoriia Sychova, Volodymyr Miroshnyk, Roman Dychkovskyi

“…This research presents an advanced methodology for smart management of energy losses in electrical distribution networks by leveraging deep neural network architectures. …”
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Leaf area index-based phenotypic assessment of sweet potato varieties using UAV multispectral imagery and a hybrid retrieval approach by Philemon Tsele, Abel Ramoelo, Lucy Moleleki, Sunette Laurie, Whelma Mphela, Natasha Tshuma

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A novel approach for snow depth retrieval in forested areas by integrating horizontal and vertical canopy structures information by Shanna Yue, Liyun Dai, Jie Deng, Yanxing Hu, Lin Xiao, Tao Che

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Enhanced Fault Localization in Multi-Terminal HVDC Systems Using Improved Gaussian Process Regression by Abha Pragati, Manohar Mishra, Pritam Bhowmik, Josep M. Guerrero, Debadatta Amaresh Gadanayak

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Multi-Criteria Assessment of Flood Risk on Railroads Using a Machine Learning Approach: A Case Study of Railroads in Minas Gerais by Fernanda Oliveira de Sousa, Victor Andre Ariza Flores, Christhian Santana Cunha, Sandra Oda, Hostilio Xavier Ratton Neto

“…Among the evaluated models, Linear Regression emerged as the best-performing model with an R² value of 0.999998, a mean squared error (MSE) of 0.018672, and a low tendency to overfitting (0.000011).…”
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Clinical Application of Xenon in Subanesthetic Concentrations (Review) by M. E. Politov, S. V. Podprugina, E. N. Zolotova, P. V. Nogtev, Yu. S. Agakina, S. G. Zhukova, A. G. Yavorovsky

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A Multi-Task Spatiotemporal Graph Neural Network for Transient Stability and State Prediction in Power Systems by Shuaibo Wang, Xinyuan Xiang, Jie Zhang, Zhuohang Liang, Shufang Li, Peilin Zhong, Jie Zeng, Chenguang Wang

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A Comprehensive Approach to Load Frequency Control in Hybrid Power Systems Incorporating Renewable and Conventional Sources with Electric Vehicles and Superconducting Magnetic Ener... by K. Nagendra, K. Varun, G. Som Pal, K. Santosh, Sunil Semwal, Manoj Badoni, Rajeev Kumar

“…The objective is to minimize the area control error (ACE) under various scenarios, including parameter variations and random load changes, using different control strategies: proportional-integral-derivative (PID), two-degree-of-freedom PID (PID-2DF), fractional-order PID (FOPID), fractional-order integral (FOPID-FOI), and fractional-order integral and derivative (FOPID-FOID) controllers. …”
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Optimizing agricultural yield: a predictive model for profitable crop harvesting based on market dynamics by Nilesh P. Sable, Nilesh P. Sable, Vinod Kumar Shukla, Parikshit N. Mahalle, Vijayshri Khedkar

“…After a thorough study using the Mean Squared Error (MSE) and R2 score, it was determined that the DT model performed the best, with an outstanding R2 score of 99%. …”
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Design and Control of a Deformable Trees-Pruning Aerial Robot by Changliang Xu, Zhong Yang, Zhao Zhang, Hao Xu, Jiying Wu, Dongsheng Zhou, Luwei Liao, Qiuyan Zhang

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Mapping and Estimation of Monthly Global Solar Irradiation in Different Zones in Souss-Massa Area, Morocco, Using Artificial Neural Networks by O. Nait Mensour, S. Bouaddi, B. Abnay, B. Hlimi, A. Ihlal

“…Solar radiation data play an important role in solar energy research. However, in regions where the meteorological stations providing these data are unavailable, strong mapping and estimation models are needed. …”
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