Improved Electrochemical–Mechanical Parameter Estimation Technique for Lithium-Ion Battery Models by Salvatore Scalzo, Davide Clerici, Francesca Pistorio, Aurelio Somà

“…Accurate and predictive models of lithium-ion batteries are essential for optimizing performance, extending lifespan, and ensuring safety. …”
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Enhanced Fall Detection Using YOLOv7-W6-Pose for Real-Time Elderly Monitoring by Eugenia Tîrziu, Ana-Mihaela Vasilevschi, Adriana Alexandru, Eleonora Tudora

“…This study aims to enhance elderly fall detection systems by using the YOLO (You Only Look Once) object detection algorithm with pose estimation, improving both accuracy and efficiency. …”
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Assessing Urban Land Parcel Dynamics Driven by Bus Rapid Transit (BRT) as an Exclusive Transit Route by Rana Tahir Mehmood, Muhammad Zaly Shah, Mehdi Moeinaddini, Muhammad Mashhood Arif, Ramine Chuhdary, Mufeeza Tahira

“…This study applies the C5.0 decision tree algorithm, a non-parametric model that creates a decision tree with leaf nodes that predict the relationship. …”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…Subsequently, a deep neural network (DNN) is trained as a FEM surrogate model to quickly predict the structural strain response by considering material uncertainties. …”
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Measurement of snowpack density, grain size, and black carbon concentration using time-domain diffuse optics by Connor Andrew Henley, Colin Richard Meyer, Jacob Ian Chalif, Joseph Lee Hollmann, Ramesh Raskar

“…We develop an algorithm that retrieves these properties from measurements at two wavelengths. …”
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Trauma, personality structure and psychopathology: a cartography of psychodynamic constructs by Jürgen Fuchshuber, Victor Blüml, Nestor Kapusta, Henriette Löffler-Stastka, Johanna Alexopoulos, Elisa Renner, Hugo Senra, Human-Friedrich Unterrainer

“…A cross-sectional network between personality organization [IPO-16], hypomentalizing [RFQ-6], attachment [ECR-RD8]), primary affective traits [BANPS-GL], depression, anxiety and somatization symptoms [BSI-18], addiction [WHO-ASSIST] and childhood trauma [CTQ] was estimated via the EBICglasso and relimp algorithm. Regularized partial correlation edge weights, node centrality, predictability, bridge centrality, relative importance and stability coefficients were analyzed. …”
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Design and Assessment of an Austenitic Stainless Alloy for Laser Powder Bed Additive Manufacturing by Mariam Assi, Julien Favre, Marcin Brykala, Franck Tancret, Anna Fraczkiewicz

“…This method integrates a suite of predictive tools, including machine learning, calculation of phase diagrams (CALPHAD) and physical models, all piloted by a multi-objective genetic algorithm. …”
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Advancing Agricultural Machinery Maintenance: Deep Learning-Enabled Motor Fault Diagnosis by Xusong Bai, Qian Chen, Xiangjin Song, Weihang Hong

“…However, challenges remain in implementing these systems, including data acquisition limitations, computational resource requirements, and algorithm adaptability to diverse operational conditions. …”
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Real-Time Interpretation Model of Reservoir Characteristics While Underbalanced Drilling Based on UKF by Miao He, Yihang Zhang, Mingbiao Xu, Jun Li, Jianjian Song

“…This study presents a novel interpretation model for reservoir characteristics while underbalanced drilling (UBD), by incorporating an unscented Kalman filter (UKF) algorithm in a three-phase variable mass flow model of oil, gas, and liquid. …”
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Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network by Can Liu, Peng He, Ru Qiao, Xiaoyan Yang, Changsong Ding, Fuyuan He

“…In this study, we employed the random walk with restart (RWR) algorithm on the LUAD protein-protein interaction (PPI) network to predict ferroptosis-related target genes. …”
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In Situ Monitoring and Numerical Experiments on Vertical Deformation Profiles of Large-Scale Underground Caverns in Giant Hydropower Stations by Hao Wu, Jian Liu, Xiaogang Wang, Lipeng Liu, Zhenhua Tian

“…After fitting the complete VDP curve with a Levenberg-Marquardt algorithm, we verify its validity by comparing predicted data with in situ monitoring data. …”
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Digital Health Technologies for Optimising Treatment and Rehabilitation Following Surgery: Device-Based Measurement of Sling Posture and Adherence by Joss Langford, Ahmed Barakat, Engy Daghash, Harvinder Singh, Alex V. Rowlands

“…The optimisation of an existing non-wear algorithm accurately detected adherence (99.3%). Conclusions: the remote monitoring of sling adherence and the quantification of immobilisation is practical and effective with digital health technology.…”
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LSAF-LSTM-Based Self-Adaptive Multi-Sensor Fusion for Robust UAV State Estimation in Challenging Environments by Mahammad Irfan, Sagar Dalai, Petar Trslic, James Riordan, Gerard Dooly

“…Validated on an in-house integrated UAV platform and evaluated against high-precision RTK ground truth, the algorithm incorporates deep learning-predicted fusion weights into an optimization-based odometry pipeline. …”
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Identification of nitric oxide-mediated necroptosis as the predominant death route in Parkinson’s disease by Ting Zhang, Wenjing Rui, Yue Sun, Yunyun Tian, Qiaoyan Li, Qian Zhang, Yanchun Zhao, Zongzhi Liu, Tiepeng Wang

“…Using the Scaden deep learning algorithm, we predicted neurocyte subtypes and modelled dynamic interactions for five classic cell death pathways to identify the predominant routes of neuronal death during PD progression. …”
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Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

“…To ensure that the model predictions are sufficiently reliable, a multi-level gradcam algorithm is also introduced for checking the regions of interest of the Hierarchical model at two levels and the comparisons are made with human experts. …”
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An AIoT Architecture for Structural Testing: Application to a Real Aerospace Component (Embraer E2 Model Aircraft Flag Track) by Pablo Venegas, Unai Virto, Isidro Calvo, Oscar Barambones

“…In order to illustrate the integration of different AI techniques in the AIoT architecture, ARIMA and LSTM algorithms were used to analyze the data captured with three sensors. …”
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BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications by Dong Sun, Xudong Yang, Hui Liu, Hai Yang

“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
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Frontier machine learning techniques for melanoma skin cancer identification and categorization: An in-Depth review by Viomesh Singh, Kavita A. Sultanpure, Harshwardhan Patil

“…It's got these brainy models and algorithms that not only soak up information but also play psychic by predicting stuff on brand new data it's never laid eyes on before. …”
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Transfer Kernel Extreme Learning Machine Based on Bidirectional Cross Domain Approximation by Yuanxiao Zeng, Huimin Li, Yanbing Song

“…These comparative results clearly demonstrate that our proposed algorithm offers satisfactory classification accuracy and strong robustness.…”
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Consumer Behaviour: Analysing Marketing Campaigns through Recommender Systems and Statistical Techniques

“…This approach addresses the formidable challenges of accurately predicting consumer behaviour. We provide a detailed introduction to recommendation systems, emphasizing their vital role in the modern marketing landscape. …”
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