Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

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Pine wood nematode disease area identification based on multi-temporal multi-source remote sensing images and BIT model by Degao Wang, Zhangyu Sun, Xinxia Huang, Mingzhong Liu, Qingqing Zheng, Huailiang Zhang, Guanghe Zhang

“…With the advancements in remote sensing technology, remote sensing images offer distinct advantages such as extensive coverage, timely data acquisition and high spatial resolution, making them highly suitable for accurately and efficiently identifying PWN disease areas. This article introduces a deep learning approach for the identification of PWN disease areas using multi-temporal and multi-source remote sensing images. …”
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A method of identification and localization of tea buds based on lightweight improved YOLOV5 by Yuanhong Wang, Yuanhong Wang, Jinzhu Lu, Jinzhu Lu, Qi Wang, Qi Wang, Zongmei Gao

“…Also, it reduces the dependence on hardware, provides a reference for deploying the tea bud target detection model in the natural environment of the tea garden, and has specific theoretical and practical significance for the identification and localization of the intelligent picking robot of tea buds.…”
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Crack Identification and Flaw Detection Eva-luation of Bolster Hanger Based on Machine Vision by YANG Fan, ZHAO Mengjiao, CHEN Ying, JIANG Xue

“…［Result & Conclusion］ The performance of the YOLOv5-SA-BF model is tested using an image acquisition system for bolster hangers. …”
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Online identification of stability region for large-scale wind farms, Part II: Construction of stability region boundary by Jia Luo, Peng Wang, Haoran Zhao, Yonghan Liu, Vladimir Terzija

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Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice by Mahya Hajihassanpour, Georges Kesserwani, Per Pettersson, Vasilis Bellos

“…Such modeling at the field‐scale requires the identification of a more efficient alternative to the Standard Monte Carlo (SMC) method that can reproduce comparable output probability distributions with a relatively reduced sample size, including detailed histograms of quantities of interest. …”
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Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset by Xinyuan Wei, Longxing Wu, Chunhui Liu, Zhiyuan Si, Xing Shu, Heng Li

“…First, three typical FOMs were initially established and the particle swarm optimization algorithm was then employed to identify model parameters. Complementarily, the efficiency and accuracy of the offline identification for three typical FOMs are also discussed. …”
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Identification of Restoration Pathways for the Climate Adaptation of Wych Elm (<i>Ulmus glabra</i> Huds.) in Türkiye by Derya Gülçin, Javier Velázquez, Víctor Rincón, Jorge Mongil-Manso, Ebru Ersoy Tonyaloğlu, Ali Uğur Özcan, Buse Ar, Kerim Çiçek

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Quantification and Flow Simulation of Ecosystem Service Supply and Demand in the Yellow River Delta High-Efficiency Eco-Economic Zone by Wenjun Liu, Xiangyi Ma, Qian Sun, Wei Qi, Xinyang Yu

“…However, the selection of investigation methods and simulation model remains a persistent challenge. This study selected the Yellow River Delta High-Efficiency Eco-Economic Zone in China as the case study area and assessed the habitat quality and carbon sequestration services for 2000, 2010, and 2020. …”
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Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System by Shengqi Huang, Yuanwei Zhang, Lei Shi, Yuqing Huang, Bin Chang

“…Moreover, its prediction model depends on motor parameters. To address this issue, a dual-vector (DV)-based MPCC (DV-MPCC) incorporating online parameter identification was proposed. …”
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Identification of Cost-Relevant Factors in the Production of a Triterpenoid Saponin in Hydroponically Grown Soapwort: A Case Study by Sandro T. Stoffel, René de Vaumas, Ruben Postel, Stefan Schillberg, Matthias Schwenkglenks, Helga Schinkel

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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network by Jafar A. Alzubi, Kiran Sree Pokkuluri, Rajesh Arunachalam, Surendra Kumar Shukla, Sumanth Venugopal, Karthikayen Arunachalam

“…As a result, a reliable method for identifying the masked faces is required. In this developed model, a deep learning-assisted masked face identification framework is developed to accurately recognize the person’s identity for security concerns. …”
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Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learning by Jiuhui Li, Zhengfang Wu, Shuo Zhang, Wenxi Lu

“…To assess the identification performance, the identification results (IRs) obtained with UKS-MDA were compared with those produced by the ensemble smoother with multiple data assimilation (ES-MDA) in terms of the identification accuracy and computational efficiency. …”
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Interval Uncertainty Analysis for Wheel–Rail Contact Load Identification Based on First-Order Polynomial Chaos Expansion by Shengwen Yin, Haotian Xiao, Lei Cao

“…Traditional methods for identifying wheel–rail contact loads are based on deterministic models, in which the uncertainties such as material inhomogeneity and geometric tolerance are not considered. …”
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ConvTransNet-S: A CNN-Transformer Hybrid Disease Recognition Model for Complex Field Environments by Shangyun Jia, Guanping Wang, Hongling Li, Yan Liu, Linrong Shi, Sen Yang

“…To address the challenges of low recognition accuracy and substantial model complexity in crop disease identification models operating in complex field environments, this study proposed a novel hybrid model named ConvTransNet-S, which integrates Convolutional Neural Networks (CNNs) and transformers for crop disease identification tasks. …”
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Advanced pathological subtype classification of thyroid cancer using efficientNetB0 by Hongpeng Guo, Junjie Zhang, You Li, Xinghe Pan, Chenglin Sun

“…Results The study demonstrated the high accuracy of the EfficientNetB0 model in differentiating papillary, follicular, medullary, and anaplastic thyroid carcinoma subtypes, surpassing other models in performance metrics. …”
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Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy by Xuefeng Cheng, Min Liao, Juan Liu

“…These results demonstrate the potential of combining spectral data processing with advanced machine learning techniques for efficient and accurate geographical origin identification, providing a robust tool for quality assurance and traceability in traditional Chinese medicine.…”
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A hybrid model integrating recurrent neural networks and the semi-supervised support vector machine for identification of early student dropout risk by Huong Nguyen Thi Cam, Aliza Sarlan, Noreen Izza Arshad

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Radio Frequency Sensing&#x2013;Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models by Najah AbuAli, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi

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Identification of technology-based models and efficacy of digital-based pain facial expression assessment tools among children: a systematic review by Gusgus Ghraha Ramdhanie, Dessie Wanda, Nur Agustini, Tomy Abuzairi

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