Partial Discharge Pattern Recognition of Switchgear Based on Residual Convolutional Neural Network by Xueyou HUANG, Jun XIONG, Yu ZHANG, Hui LIU, Lu CHEN, Xianglin MENG, Xiuchen JIANG

“…A residual module is added to the network to solve the degradation problem after accuracy saturation caused by the deepening of network layer number, and the shallow and deep feature fusion learning of switchgear partial discharge data is integrated to achieve the pattern recognition. …”
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University students' attitudes about online mathematics teaching during the pandemic by Mihajlović Aleksandra M., Ristić Vladimir T., Kopas-Vukašinović Emina M.

“…Both quantitative and qualitative methods were used for data analysis. The research results point to the conclusion that undergraduate students from our sample generally did not express positive attitudes towards online mathematics classes. …”
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Mixture-of-experts graph transformers for interpretable particle collision detection by Donatella Genovese, Alessandro Sgroi, Alessio Devoto, Samuel Valentine, Lennox Wood, Cristiano Sebastiani, Simone Scardapane, Monica D’Onofrio, Stefano Giagu

“…Our results highlight that the model achieves competitive classification accuracy while providing interpretable outputs that align with known physics, demonstrating its potential as a robust and transparent tool for high-energy physics data analysis. This approach underscores the importance of explainability in machine learning methods applied to high energy physics, offering a path toward greater trust in AI-driven discoveries.…”
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Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments by Mohammad Arbabpour Bidgoli, Arian Behmanesh, Navid Khademi, Phromphat Thansirichaisree, Zuduo Zheng, Sara Saberi Moghadam Tehrani, Sajjad Mazloum, Sirisilp Kongsilp

“…The Gaussian mixture approach is used to cluster brainwave patterns based on security perception from EEG data. Subsequently, four supervised machine learning methods, random forest, support vector machine, logistic regression, and multilayer perceptron, are utilized to classify influential factors on security perception using clustered EEG data. …”
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Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study. by Giuliano Lorenzoni, Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald Cowan

“…These challenges include assessing alternatives in terms of data cleaning and pre-processing techniques, feature selection, and appropriate ML classification algorithms.…”
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The Impact of Business Continuity on Supply Chain Practices and Resilience Due to COVID-19 by Behzad Maleki Vishkaei, Pietro De Giovanni

“…<i>Methods</i>: This research adopted a stochastic approach based on Bayesian Networks to evaluate the implications of business continuity on firms’ decisions to embrace SC practices, focusing on omnichannel strategies, SC coordination, and technologies such as artificial intelligence systems, big data and machine learning, and mobile applications. …”
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The Gaps of Students' Writing Skills in Arabic Thesis Writing by Rahmat Satria Dinata, Singgar Mantahari Dalimunthe, Syafrimen Syafrimen, Abdurrahman Assayyid Abdul Ghafar Balah

“…Of all the aspects studied, the biggest gap were in the tarjamah aspect. The results of the learning process analysis showed that the process was still lacking in practical aspects. …”
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Experiences and opinions of first-year students at a previously disadvantaged medical university in South Africa about alcohol consumption by Indiran Govender, Kathryn Nel, Morongwa M. Mogotsi

“…The open-ended questions were formulated in a manner that allowed participants to give an account of their experience and opinions related to the drinking of alcohol. Thematic content analysis was used to analyse qualitative data. Results: The participants comprised 90 (41.5%) females, 13 (6%) White, 196 (90.3%) Black, 4 (1.8%) Asian and 4 (1.8%) Coloured students. …”
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Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces by Pin-Chia Huang, I-Cheng Li, Ching-Yi Wang, Cheng-Hsiung Shih, Masimukku Srinivaas, Wan-Ting Yang, Chin-Fang Kao, Te-Jen Su

“…In recent years, AI technology has made significant advancements in image recognition, machine learning, and data analysis, which provide new opportunities for art management. …”
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Establishment and Solution Test of Wear Prediction Model Based on Particle Swarm Optimization Least Squares Support Vector Machine by Xiao Huang, Yongguo Wang, Yuhui Mao

“…To address these problems, this paper proposes a tool wear state identification model based on particle swarm optimization (PSO) and least squares support vector machine (LS-SVM), namely the PSO-LS-SVM model. By integrating data collected by multiple sensors, key feature information reflecting the tool wear state is extracted; dimensionality reduction techniques such as principal component analysis (PCA) are used to optimize feature vectors to improve the distinguishability of features. …”
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Navigating the spectrum of battery health management in electric vehicles: A comprehensive review by Saranathan L, Indragandhi Vairavasundaram, Bragadeshwaran Ashok

“…The existing literature lacks a consolidated comparative analysis of traditional, adaptive, and emerging data-driven approaches to battery health management, particularly in the context of real-world applications. …”
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Meme-ingful Actions: Uncovering the Influence of Political Memes on Leadership Performance and Values Formation by Nicole Andrea G. Matias, Prince Henderson D. Bartolome, Samantha Louise R. Carreon, Franz Marielle L. Tallara, Joseph A. Villarama

“…The data gathered underwent through Colaizzi’s thematic analysis and were verified through data cross-checking. …”
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Assessing and Forecasting Natural Regeneration in Mediterranean Landscapes After Wildfires by Paraskevi Oikonomou, Vassilia Karathanassi, Vassilis Andronis, Ioannis Papoutsis

“…To predict vegetation regrowth, two time series models (ARMA, VARIMA) and two machine learning-based ones (random forest, XGBoost) were tested. …”
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Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer by Yinwei Chen, Zhanpeng Liu, Qian Yu, Xu Sun, Shuai Wang, Qingyi Zhu, Jian Yang, Rongjiang Jiang

“…The microarray data of kidney transplant patients with or without rejection response was obtained from the Gene Expression Omnibus (GEO) database. …”
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The Relationship between Reading Habits and Academic Achievement Motivation in Qazvin Dental Students in 2022-2023 by Sahar Chokami Rafiei, Mohamad Karami, Mahtab Samiei Far

“…The validity of the questionnaires was obtained using experts’ opinions and its reliability was obtained using Cronbach’s alpha test. The collected data were entered into SPSS software version 26, then using descriptive statistics (mean, standard deviation, etc.) and statistical analysis including independent t-test and ANOVA were analyzed. …”
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A New Quantum Circuits of Quantum Convolutional Neural Network for X-Ray Images Classification by Mohammed Yousif, Belal Al-Khateeb, Begonya Garcia-Zapirain

“…However, if the specified data dimension or model grows too large, CNN becomes difficult to train effectively with a slowdown processing. …”
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Can Synthetic Aperture Radar Enhance the Quality of Satellite-Based Mangrove Detection? A Focus on the Denpasar Region of Indonesia by Soohyun Kwon, Hyeon Kwon Ahn, Chul-Hee Lim

“…The Sentinel-1 and Sentinel-2 datasets were used, and the U-Net deep learning model was employed for training and classification. …”
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Comparison of artificial intelligence approaches for estimating wind energy production: A real-world case study by Mohamed Bousla, Mohamed Belfkir, Ali Haddi, Youness El Mourabit, Badre Bossoufi

“…The analysis utilizes temporal data obtained at 10-minute intervals over a span of two years from a wind farm located in Morocco. …”
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Artificial intelligence in higher education: Modelling students’ motivation for continuous use of ChatGPT based on a modified self-determination theory by Nagaletchimee Annamalai, Brandford Bervell, Dickson Okoree Mireku, Raphael Papa Kweku Andoh

“…The data were analyzed using a Partial Least Squares-Structural Equation Modelling (PLS-SEM) technique. …”
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Global trends of libraries development: optimism vs pessimism (foreign literature review). Part 2 by N. S. Redkina

“…The review examines modern library activity taking into account the influence of external technological and social environment, changes in scientific communications, education, modernization of data man­agement systems, etc. The author identifies trends in developing scientific (academic) and public libraries to a greater degree. …”
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