DCMC-UNet: A Novel Segmentation Model for Carbon Traces in Oil-Immersed Transformers Improved with Dynamic Feature Fusion and Adaptive Illumination Enhancement by Hongxin Ji, Jiaqi Li, Zhennan Shi, Zijian Tang, Xinghua Liu, Peilin Han

“…Given the substantial morphological and dimensional variations of target defects (e.g., carbon traces produced by surface discharge inside the transformer), the intelligent and efficient extraction of carbon trace features from complex backgrounds becomes critical for robotic inspection. …”
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LncRNA of peripheral blood mononuclear cells: HYMAI acts as a potential diagnostic and therapeutic biomarker for female major depressive disorder by Tianyi Bu, Jiarun Yang, Jiawei Zhou, Yeran Liu, Kexin Qiao, Yan Wang, Jili Zhang, Erying Zhao, Boakye Kwame Owura, Xiaohui Qiu, Zhengxue Qiao, Yanjie Yang

“…IntroductionAs a common and complex mental disorder, major depressive disorder (MDD) has brought a huge burden and challenges globally. …”
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Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control by Haonan Ye, Hongjun Tian, Qingyun Wu, Yihong Xue, Jiayu Xiao, Guijie Liu, Yang Xiong

“…These systems require reliable sensor-based object detection and efficient, safe, and energy-aware path planning. …”
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Far-field ammonia gas sensing at room temperature with graphene nanoplatelets-infused PEDOT:PSS transparent thin film by Vinod K Ganesan, Chun Hui Tan, Pei Song Chee, Jen Hahn Low, Soon Poh Lee, Eng Hock Lim

“…Widely used in various industrial applications, ammonia poses significant environmental and health risks, emphasizing the need for efficient monitoring. Although traditional gas sensing methods effective, they often constrained by high operating temperatures and complex electronic components, limiting their practicality. …”
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ILN-YOLOv8: A Lightweight Image Recognition Model for Crimped Wire Connectors by Xiaojian Zhou, Jicheng Kan, Nur Fatin Liyana Mohd Rosely, Xu Duan, Jiajing Cai, Zihan Zhou

“…After pruning and knowledge distillation, the model’s complexity and computational load significantly decreased while accuracy improved, meeting the industry’s requirements for crimped wire connectors detection and achieves superior performance. …”
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Determination of Multiple Free Nucleotides in Meat Products by High Performance Liquid Chromatography by JI Xiaomeng, WANG Zhen, REN Nan, LIU Mengyao, KONG Weiheng, ZHAO Wentao, WANG Jiangyue, LIU Xinyi, GUO Wenping

“…In summary, this method is simple to operate, accurate, repeatable, and suitable for the detection of the five free nucleotides in the complex meat matrix.…”
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Evaluation methods of clay stabilizer in shale reservoirs based on X-ray diffraction and capillary suction time by HE Yanlong, WANG Xin, XUE Xiaojia, HUANG Hai, WU Jiang, LIU Xiaoqing, TANG Siyuan, HU Zhiqiang

“…It was found that they all had the same changing trend as the detected CEC. By introducing the proportional coefficient， the detected and calculated CST was fitted with the calculated CEC， and the corresponding fitted detection value of CEC was obtained. …”
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Integrated feature selection-based stacking ensemble model using optimized hyperparameters to predict breast cancer with smart web application by Rajib Kumar Halder, Marzana Akter Lima, Mohammed Nasir Uddin, Md.Aminul Islam, Adri Saha

“…Breast cancer is a leading cause of morbidity and mortality among women worldwide, arising from malignant cell transformations in breast tissue. Early detection is paramount as it significantly improves survival rates and reduces the complexity and cost of treatment. …”
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CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities by Rashik Shahriar Akash, Radiful Islam, SM Saiful Islam Badhon, KSM Tozammel Hossain

“…This study aims to develop CerviXpert, a multi-structural convolutional neural network designed to classify cervix types and detect cervical cell abnormalities efficiently. Methods We introduced CerviXpert, a computationally efficient convolutional neural network model that classifies cervical cancer using images from the publicly available SiPaKMeD dataset. …”
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Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

“…Computer-aided detection (CAD) systems efficiently succeeded in the nodule detection by 2D processing of computed tomography (CT)-scan lung images; however, the nodule (tumor) description in more detail is still a big challenge that faces these systems.Materials and Methods. …”
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Research on Spam Filters Based on NB Algorithm by Su Shengyue

“…The SpamAssassin dataset is used in this study to explore the use of the Naive Bayes (NB) algorithm for spam detection. The algorithm demonstrated high accuracy and efficiency in classifying large-scale text data, achieving an accuracy of 97.74%, a recall rate of 96.60%, and a precision rate of 96.8%, with an F1 score of 0.97. …”
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Health classification of pumps using transformer-based deep learning by Arunachalam Shivaa T V, Jayaprasanth Devakumar, Arunshankar Jayabalan

“…These DL models excel at understanding complex temporal and spatial patterns in sensor data, essential for accurate fault detection. …”
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AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions by Ala’a Alquayt, Ohoud Aljuhani, Abdullah F. Alharthi, Rahaf Alqahtani, Anas Khan, Ahmed Al-jedai, Abdulqader Almoeen, Mohammed Alshennawi, Hisham A. Badreldin, Abdulrhman Aljouie, Lubna A. Alnasser, Abdulmajeed M. Alshehri, Mohammed Y. Alzahrani, Haifa A. Alhaidal, Raghad Alhajaji, Salman Alotaibi, Esraa Z. Redhwan, Fahad Alharthi, Badr G. Alghamdi, Khalid Al Sulaiman

“…Abstract Background Due to the high complexity of healthcare during mass gatherings (MG), the integration of Artificial Intelligence (AI) might be crucial. …”
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A Real-Time High-Resolution Multi-Focus Image Fusion Algorithm Based on Multi-Scale Feature Aggregation by Huawei Chen, Xingkai Du, Hongchuan Huang, Tingyu Zhao

“…We propose an efficient high-resolution real-time multi-focus image fusion algorithm based on multi-aggregation. we use a difference of Gaussians image and a Laplacian pyramid for focused region detection. …”
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Deep learning-driven medical image analysis for computational material science applications by Li Lu, Mingpei Liang

“…However, its application in computational material science remains underexplored, despite the increasing need for automated microstructure analysis and defect detection. Traditional image processing methods in material science often rely on handcrafted feature extraction and threshold-based segmentation, which lack adaptability to complex microstructural variations. …”
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Hardware and Software Methods for Secure Obfuscation and Deobfuscation: An In-Depth Analysis by Khaled Saleh, Dirar Darweesh, Omar Darwish, Eman Hammad, Fathi Amsaad

“…While various techniques exist to enhance software and hardware security, including encryption, native code, and secure server-side execution, obfuscation emerges as a preeminent and cost-efficient solution to address these challenges. Obfuscation purposely converts software and hardware to improve complexity for probable adversaries, targeting obscure realization operations while preserving safety and functionality. …”
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Cu2+/Cu+ redox-cycling-driven dual-mode sensor for simultaneous monitoring of acetylcholinesterase activity and pesticide exposure by Sitong Lai, Sitong Lai, Kunhui Sun, Kunhui Sun, Yun Wu, Xueyuan Wu, Yiqi Yan, Yiqi Yan, Guojing Liu, Xiaoyi Liu, Yuanyuan Ge, Lina Zeng, Ziyu Guo, Shuhong Wang, Ping Wang, Bing Wang, Han Zhang, Xie-an Yu

“…IntroductionThe procedural complexity and time-consuming of conventional pesticide residue detection methods in traditional Chinese medicines (TCMs) significantly impeded their application in modern systems. …”
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High-Coverage Profiling of Hydroxyl and Amino Compounds in Sauce-Flavor Baijiu Using Bromine Isotope Labeling and Ultra-High Performance Liquid Chromatography–High-Resolution Mass... by Zixuan Wang, Youlan Sun, Tiantian Chen, Lili Jiang, Yuhao Shang, Xiaolong You, Feng Hu, Di Yu, Xinyu Liu, Bo Wan, Chunxiu Hu, Guowang Xu

“…<b>Conclusions</b>: These results demonstrate that the established method is efficient for the comprehensive analysis of hydroxyl and amino compounds in complex food matrices. …”
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Research on formant estimation algorithm for high order optimal LPC root value screening by Hua LONG, Shumeng SU

“…Objectives: The existing linear prediction (LP) formant estimation algorithms are difficult to locate formant precisely because of the pseudo root interference and interaction between poles.Because of the low order fitting formant of LP prediction,the accuracy of formant extraction is fundamentally limited.It is difficult to remove false roots and spectrum aliasing caused by pole interaction in the formant extraction of high-order LP.In order to solve the problem of large error of LP formant detection,a formant estimation algorithm based on high-order LP coefficient root value screening was proposed. …”
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An evaluation of single and multi-date Landsat image classifications using random forest algorithm in a semi-arid savanna of Ghana, West Africa by Eric Adjei Lawer

“…Significant negative correlations observed between the number of classes in LULC schemes and overall accuracy and kappa coefficient indicate that the more complex the LULC scheme, the lower the accuracy produced. …”
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