Identification of Metabolites of Ferulic Acid in Human after Oral Administration by Qian PAN, Wei LI, Yang YANG, Yong-qiang ZHAO, Li LIAN, Qing-qing CONG, Li-hong WANG, Yue-lin SONG, Qian HONG

“…The coupling of a quadrupole with time-of-flight mass spectrometry can offer high sensitivity and high resolution, and has become one of the important analytical tools for the identification of metabolites. In this study, the structural identification of metabolites was conducted using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF MS) under negative ion mode. …”
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Identification of two point mutations associated with inherited antithrombin deficiency by Shiue-Wei Lai, Chia-Yau Chang, Hwei-Jen Lee, Yeu-Chin Chen

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Bidirectional reduced-order electrothermal modeling of power MOSFETs for electric vehicle thermal management applications by Chih-Chun Hsu, Yi-Hsuan Hsieh, Hsiao Chi Tang, Yu-Min Meng, Ming-Shi Huang, Po-Hsuan Tseng, Hai-Han Lu, Hua-Yi Hsu

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Efficiency Measurement With A Three-Stage Hybrid Method by İrfan Ertuğrul, Tayfun Öztaş

“…An input-oriented BCC model was established with selected variables to determine the efficiencies of firms in each period. …”
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Process approach to the analysis of Management efficiency at Transport enterprises by D. V. Berzin, A. A. Kochetkov

“…The comparative characteristics of management functions and business process functions are given, the importance of implementing individual business processes and subprocesses and their impact on management efficiency is emphasized.The purpose of the study is to expand the methodological tools that make it possible to form the most optimal model of business processes, which allows to increase the overall efficiency of management, to explore process-oriented management tools and their role in a dynamically changing market environment, as well as to outline a number of planning and preventive measures. …”
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Optimization of In_xGa_1−xN P-I-N Solar Cells: Achieving 21% Efficiency Through SCAPS-1D Modeling by Hassan Abboudi, Walid Belaid, Redouane En-nadir, Ilyass Ez-zejjari, Mohammed Zouini, Ahmed Sali, Haddou El Ghazi

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Livestock Biometrics Identification Using Computer Vision Approaches: A Review by Hua Meng, Lina Zhang, Fan Yang, Lan Hai, Yuxing Wei, Lin Zhu, Jue Zhang

“…We also highlight the challenges faced in this field, such as data quality and algorithmic efficiency, and introduce the baseline models and innovative solutions developed to address these issues. …”
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Efficient Real-Time Pathfinding for Visually Impaired Individuals by Tadeh Ghahremanians, Hossein Mahvash Mohammadi

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Assessing Model Trade-Offs in Agricultural Remote Sensing: A Review of Machine Learning and Deep Learning Approaches Using Almond Crop Mapping by Mashoukur Rahaman, Jane Southworth, Yixin Wen, David Keellings

“…This paper underscores the need for a balanced approach in model selection—one that weighs accuracy alongside efficiency. …”
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Optimized Deep Neural Network for High-Precision Psoriasis Classification from Dermoscopic Images by Charu Bolia, Sunil Joshi

“…The proposed model is designed to simultaneously capture spatial features through EfficientNet and temporal or sequential patterns via LSTM units, thereby improving classification performance. …”
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Multimodal rapid identification of growth stages and discrimination of growth status for Morchella by Ning Jia, Chunjun Zheng

“…During the rapid identification process of the growth stage of Morchella, the Multi Stage Vision Enhanced Position Encoding Vision Transformer (MS-EP ViT) model is adopted. …”
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Lithology Identification of Buried Hill Reservoirs Based on Support Vector Machine by GAO Yongde, WU Jinbo, SUN Dianqiang

“…Using this approach, an efficient lithology identification model is established and applied to the lithology identification task of seven wells in the HZ area. …”
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Leveraging Deep Learning for Real-Time Coffee Leaf Disease Identification by Opeyemi Adelaja, Bernardi Pranggono

“…This study aims to address existing methods’ limitations and provide a more efficient, reliable, and cost-effective solution for coffee leaf disease identification. …”
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Object Re-Identification Based on Federated Incremental Subgradient Proximal Optimization by Li Kang, Chuanghong Zhao, Jianjun Huang

“…FedISP effectively alleviates weight divergence and low communication efficiency issues through incremental sub-gradient proximal methods and ring topology, ensuring stable model convergence and efficient communication. …”
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A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

“…The experimental results show that the improved peach seedling growth posture network model has a weight size of only 23.1% of the original model. …”
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Ripeness identification of pitaya fruit based on YOLOv8 and PSP-Ellipse by LIU Xinpu, ZHAO Chunlei, LI Zhifeng, FENG Chao

“…ObjectiveImprove the accuracy and robustness of maturity detection of pitaya fruit.MethodsCombining the YOLOv8 object detection model with the PSP-Ellipse segmentation algorithm, an efficient and accurate automatic identification method for pitaya fruit maturity was proposed. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

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Learning Part-Based Features for Vehicle Re-Identification with Global Context by Rajsekhar Kumar Nath, Debjani Mitra

“…Learning part-based features augmented with one or more global features is an efficient approach for enhancing the performance of re-identification networks. …”
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Research on leaf identification of table grape varieties based on deep learning by PAN Bowen, LIN Meiling, JU Yanlun, SU Baofeng, SUN Lei, FAN Xiucai, ZHANG Ying, ZHANG Yonghui, LIU Chonghuai, JIANG Jianfu, FANG Yulin

“…[Objective] With the continuous development of grape varieties, problems such as variety confusion and inaccurate identification would occur in the actual production and scientific research work, and accurate identification of grape varieties has become more and more difficult It is urgent to explore a nondestructive, efficient and environment-friendly identification method. …”
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An IMU-Based Machine Learning System for Container Collision Position Identification by Xin Zhang, Zihan Song, Do-Myung Park, Byung-Kwon Park

“…Statistical analysis with the Friedman test confirmed significant differences in model and feature selection performance. The combination of k-nearest neighbors and extra trees achieved the highest accuracy of 97.1%, demonstrating that inexpensive IMU acceleration data can provide a cost-effective, efficient, and reliable solution for collision detection. …”
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