Application of Battery Life Prediction Technology in EMUs by DAI Yi, YU Tianjian, CHENG Shu, WU Xun, LIU Jiawen

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Causal Discovery for Patient Classification Using Health-Related Quality of Life Questionnaires by Maria Ganopoulou, Konstantinos Fokianos, Christos Bakirtzis, Lefteris Angelis, Theodoros Moysiadis

Subjects: “…algorithm…”
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An Improved Algorithm of Wireless Sensor Networks Routing Protocol Based on LEACH by Jinshen Weng, Huabiao Qin, Zongguo Zhang

“…One of the most popular research focuses of wireless sensor network is postponing the life cycle of sensor network as well as reducing energy consumption.An efficient clustering routing algorithm based on LEACH（low energy adaptive clustering hierarch）was presented，which is the representative of hierarchy based protocol in wireless sensor network.The residual energy，average energy and maximum energy are considered in this algorithm while electing the cluster header.It can also limit the number of members of each cluster.At the same time，it can produce the first cluster header among the cluster heads which will use the multi-hop mode to balance the load of network.The simulation results show that this improved algorithm can reduce the energy consumption，extend the network life cycle and ensure the load balance of the system.…”
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Decision-Making Model for Life Cycle Management of Aircraft Components by Igor Kabashkin, Vitaly Susanin

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An Overview of Remaining Useful Life Prediction of Battery Using Deep Learning and Ensemble Learning Algorithms on Data-Dependent Models by Sravanthi C. L., Chandra Sekhar J. N., N. Chinna Alluraiah, Dhanamjayulu C., Harish Kumar Pujari, Baseem Khan

“…One of the keys to assuring the vehicle’s safety and dependability is an accurate remaining useful life (RUL) forecast. Hence, the exact prediction of RUL plays a vital part in the management of battery conditions. …”
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Collaborative Optimization on Both Weight and Fatigue Life of Fifth Wheel Based on Hybrid Random Forest with Improved BP Algorithm by Huan Xue, Chang Guo, Xiaojian Peng, Saiqing Xu, Kaixian Li, Jianwen Li

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An efficient higher order numerical algorithm for solving real life application problems in an uncertain environment using triangular fuzzy number by Srilakshmi Katuri, Prashanth Maroju

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Application of machine learning algorithms for predicting the life-long physiological effects of zinc oxide Micro/Nano particles on Carum copticum by Maryam Mazaheri-Tirani, Soleyman Dayani, Majid Iranpour Mobarakeh

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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

Subjects: “…Genetic algorithm…”
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Increasing the service life of tank car boilers for the transportation of chemical cargoes by using the method of tread protection by Iurii Shcherbyna, Anna Tereshchuk

“… The article is devoted to the search for a comprehensive technical solution to increase the service life of tank car boilers by introducing an effective protection method. …”
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Storage life evaluation of photodetector based on multi-parameter performance degradation and competitive failure by ZHANG Yeping, YANG Tongbo, LI Ziwei

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Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life’s essential 8: a cross-sectional study by Haolin Shi, Yangyi Fang, Xiuhua Ma

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A Longitudinal Perspective on Digital Skills for Everyday Life: Measurement and Empirical Evidence by Kiran Kappeler

“…A deeper understanding of the measures of digital skills and the role such digital skills play in everyday life and over time is needed. To address these gaps, this article compares self-reported measures of digital skills and knowledge of datafication and algorithmization in everyday internet use and maps the evolution of their relevance for digital everyday life. …”
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Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN by Tiejiang YUAN, Rongsheng LI, Jiandong KANG, Huaguang YAN

Subjects: “…gray wolf optimization algorithm…”
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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

“…Due to the complex changes in the physical and chemical properties of rolling bearings from degradation to failure, most model-driven and data-driven methods generally suffer from insufficient accuracy and robustness in predicting the remaining useful life of rolling bearings. To address this challenge, this paper proposes a data-driven artificial neural network method, namely the CNN-LSTM bearing remaining life prediction model based on the fruit fly optimization algorithm (FOA). …”
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A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries by Yuyang Zhou, Zijian Shao, Huanhuan Li, Jing Chen, Haohan Sun, Yaping Wang, Nan Wang, Lei Pei, Zhen Wang, Houzhong Zhang, Chaochun Yuan

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A study on life assessment of metro cowcatcher based on multi-axis vibration environment reconstruction by ZHENG Yuhao, WU Xingwen, LIU Yang, CHI Maoru, LIANG Shulin

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Impact of voids on the solder joint integrity and fatigue life of IGBT power module by Sunday E. Nebo, Emeka H. Amalu, David J. Hughes

“…However, as the deployment of IGBT modules penetrates several mission-critical systems operating in harsher ambient, process voids in the solder joints challenge their reliability and fatigue life. This investigation quantifies the impact of presence of 10% voids in critical solder joints on the integrity and fatigue-life of IGBT module for reliable field operation. …”
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The accuracy of an electronic-Surprise-Question defining end-of-life cohorts in a whole adult population by algorithmic digital risk stratification: the Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA)Research in context by Baldev M. Singh, Nisha Kumari-Dewat, Vijay Klaire, Jonathan Lampitt, Amy Palmer, Adam Ryder, Kamran Ahmed, Mona Sidhu, Hannah Jennens, Ananth Viswanath, Emma Parry

“…Summary: Background: Current methods for identifying end-of-life cannot be applied systematically to large populations. …”
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Cost-effectiveness analysis of MASLD screening using FIB-4 based two-step algorithm in the medical check-up by Mimi Kim, Huiyul Park, Eileen L. Yoon, Ramsey Cheung, Donghee Kim, Hye-Lin Kim, Dae Won Jun

“…We constructed a hybrid model of the decision tree model and Markov model to compare expected costs and quality-adjusted life-years (QALYs) between ‘screening’ and ‘no screening’ groups from healthcare system perspectives. …”
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