Predicting student self-efficacy in Muslim societies using machine learning algorithms by Mohammed Ba-Aoum, Mohammed Ba-Aoum, Mohammed Alrezq, Jyotishka Datta, Konstantinos P. Triantis

“…IntroductionSelf-efficacy is a critical determinant of students' academic success and overall life outcomes. Despite its recognized importance, research on predictors of self-efficacy using machine learning models remains limited, particularly within Muslim societies. …”
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Refining management strategies for Lennox–Gastaut syndrome: Updated algorithms and practical approaches by Stéphane Auvin, Alexis Arzimanoglou, Mercè Falip, Pasquale Striano, J. Helen Cross

“…A panel of five epileptologists reconvened to provide updated guidance and treatment algorithms for LGS, incorporating recent advancements in antiseizure medications (ASMs) and understanding of DEEs. …”
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Forecasting the Remaining Useful Life of Lithium-Ion Batteries Using Machine Learning Models—A Web-Based Application by Chisom Onyenagubo, Yasser Ismail, Radian Belu, Fred Lacy

“…This research also emphasizes the importance of algorithm design that can provide reliable RUL predictions even in cases when cycle count data is lacking by properly using alternative features. …”
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System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model by Jiaonan Han

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Reliability and validity of the Transthyretin Amyloidosis – Quality of Life (ATTR-QOL) Questionnaire impact scales by Andrew Lovley, Kristen Hsu, Kaitlin LaGasse, Isabelle Lousada, Kristen L. McCausland, Michelle K. Carty, Sabrina Rebello, Jakob B. Bjorner

“…The Transthyretin Amyloidosis – Quality of Life (ATTR-QOL) Questionnaire is a disease-specific patient-reported outcome (PRO) measure of the symptoms and impacts of ATTR amyloidosis. …”
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Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services by Jae Mun Sim, Yonnim Lee, Ohbyung Kwon

“…Behavior detection mechanisms may be useful in context-aware domains in everyday life, but they may be inaccurate, and privacy violation is a concern. …”
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Robert Rosen’s Relational Biology Theory and His Emphasis on Non-Algorithmic Approaches to Living Systems by Patricia A. Lane

“…Robert Rosen concluded that living systems are not amenable to algorithmic models that are primarily syntactical. Life requires semantics for its description. …”
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Automated Analysis of Service Life of Air-Lines of the Electricity Transmission of Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, S. A. Abdullayeva, A. A. Nazarov

“…Basic EPS objects, which service life has exceeded normative value, increasingly affect – every year to a greater extent – the efficiency of overall performance. …”
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Bearing remaining useful life prediction based on optimized VMD and BiLSTM-CBAM. by Wei Liu, Sen Liu

“…To address the issue of low accuracy in existing remaining useful life (RUL) prediction algorithms for rolling bearings, this paper proposes a novel RUL prediction method based on the Beluga Whale Optimization (BWO) algorithm, Variational Mode Decomposition (VMD), an improved Convolutional Block Attention Module (CBAM*), and a Bidirectional Long Short-Term Memory (BiLSTM) network. …”
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Remaining Useful Life Prediction of Aero-Engine Based on Improved GWO and 1DCNN by Lihua Shen, Yucheng Wang, Baorui Du, Hailong Yang, He Fan

“…With the deepening adoption of whole-lifecycle management paradigms in aviation equipment, accurate prediction of remaining useful life has emerged as a pivotal technical enabler for ensuring flight safety and optimizing maintenance resource allocation. …”
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Remaining Useful Life Prediction Based on Wear Monitoring with Multi-Attribute GAN Augmentation by Xiaojun Zhu, Yan Pan, Bin Lan, He Wang, Huixin Huang

“…With the growing imperative for advanced prognostics and health management (PHM) systems, remaining useful life (RUL) prediction through lubricating oil monitoring has become pivotal for intelligent preventive maintenance. …”
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Assessing the Performance of the Discrete Generalised Pareto Distribution in Modelling Non-Life Insurance Claims by S. K.-B. Dzidzornu, R. Minkah

“…In this paper, we model non-life insurance claims under the three-parameter discrete generalised Pareto (DGP) distribution. …”
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A LIFE EVALUATION METHED FOR FRONT AXLE BASED ON FRONT AXLE DYNAMICS MODEL by FENG Jinzhi, SANG Wuzhuang, ZHANG Dongdong, LI Liangliang, LIU Xinrong, ZHAO Lihui

“…Then, with the goal of minimizing the difference between the damage/life of the front axle and the reference value under each working condition, the adjustment coefficient of the amplitude of the three-way forces at the wheel center was optimized by combining the response surface method and genetic algorithm. …”
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Hybrid-YOLOv5 for object detection of non-ferrous metals in end-of-life vehicles by Youdong Jia, Yuhang Zhang, Rui Yang, Xinzhi Li, Zhengfang Li, Sibo Yao, Jiaxing Zeng, Ziyue Zhu, Yuanxin Zhang

“…Abstract In recent years, the detection of non-ferrous metals in end-of-life vehicles (ELVs) has become essential for improving recycling in the circular economy. …”
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Data and Knowledge Dual-Driven Creep Life Prediction for Austenitic Heat-Resistance Steel by Xiaochang Xie, Mutong Liu, Ping Yang, Zenan Yang, Chengbo Pan, Chenchong Wang, Xiaolu Wei

“…In this study, we collected 216 creep data of austenitic heat-resistant steel, selected a variety of different machine learning algorithms to establish creep life prediction models, calculated and introduced a large amount of physical metallurgy knowledge highly related to creep based on Thermo-Calc, and converted the creep life into the form of the Larson–Miller parameter to optimize the data distribution, which effectively improved the prediction accuracy and interpretability of the model. …”
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Urban pulse: measuring pace of life through public camera-based cadence analysis by Pei-Yu Ho, Ming-Kuang Chung, Ling-Jyh Chen

“…Abstract Pedestrian cadence serves as an indicator for assessing urban pedestrian dynamics, reflecting not only the success of urban planning but also the rhythm of city life. This study employs computer vision and signal processing techniques to identify pedestrian cadence, with the aim of exploring its relationship with urban environments. …”
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Vase-Life Monitoring System for Cut Flowers Using Deep Learning and Multiple Cameras by Ji Yeong Ham, Yong-Tae Kim, Suong Tuyet Thi Ha, Byung-Chun In

“…Here, we developed a vase-life monitoring system (VMS) to automatically and accurately assess the post-harvest quality and vase life (VL) of cut roses. …”
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An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…Accurately predicting the remaining useful life (RUL) of rolling bearings is crucial for ensuring optimal equipment operation and timely maintenance. …”
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Remaining Useful Life Prediction of Rolling Bearings Based on Policy Gradient Informer Model by Jiahao XIONG, Feng LI, Baoping TANG, Yongchao WANG, Ling LUO

“…Finally, a policy-gradient learning algorithm is constructed to improve the training speed of the PG–Informer parameters. …”
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Life Prediction Modeling Based on FOA and Interface Shapes Simulation Applicability Analysis of TBCs by Xiao Hu, Jing Tian, Yanting Ai, Yudong Yao, Tiannan Bao, Peng Guan

“…Based on the TBCs thermal fatigue experiment, a finite element model is established and combined with the Fruit Fly Optimization Algorithm (FOA), a TBCs life prediction model is established. …”
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