Telecom Fraud Recognition Based on Large Language Model Neuron Selection by Lanlan Jiang, Cheng Zhang, Xingguo Qin, Ya Zhou, Guanglun Huang, Hui Li, Jun Li

“…In the realm of natural language processing (NLP), text classification constitutes a task of paramount significance for large language models (LLMs). …”
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Rapid Classification and Quantitative Prediction of Aflatoxin B₁ Content and Colony Counts in Nutmeg Based on Electronic Nose by Ruiqi Yang, Keyao Zhu, Yuanyu Zhao, Xingyu Guo, Yushi Wang, Jiayu Wang, Huiqin Zou, Yonghong Yan

“…The rapid detection and quantification of microbial quantity and aflatoxin are crucial for food safety and quality. …”
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Characterization of Canopy Gaps identified with spatial GLAS/ICESat data in the Bolo-Est Classified Forest (Southwest Côte d’Ivoire) by Tiodionwa Abdoulaye Ouattara, Valère-Carin Jofack Sokeng, Koffi Fernand Kouamé

“…The methodology used integrates key steps: acquisition and pre-processing of GLAS/ICESat data, normalization of elevations to correspond to the World Geodetic System (WGS 84), calculation of canopy heights, detection of gaps via a thresholding process, and validation of results by field observations. …”
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Grey wolf optimization technique with U-shaped and capsule networks-A novel framework for glaucoma diagnosis by Govindharaj I, Ramesh T, Poongodai A, Senthilkumar K. P, Udayasankaran P, Ravichandran S

“…This automated diagnosis system elevates clinical accuracy levels through an automated screening method that solves manual process limitations. The detection framework produces better accuracy to improve clinical results in a strong effort to minimize glaucoma-induced blindness worldwide and display its capabilities in real clinical environments. • Hybrid GWOA-UNet++ for precise optic disc segmentation. • CapsNet-based classification for robust glaucoma detection. • Achieved 96.01 % accuracy, surpassing existing methods.…”
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GU-Net3+: A Global-Local Feature Fusion Algorithm for Building Extraction in Remote Sensing Images by Yali Liu, Cui Ni, Peng Wang, Dongqing Yang, Hexin Yuan, Chao Ma

“…The experimental results demonstrate that the proposed algorithm achieves mIoU values of 93.8% and 81.05%, and F1-scores of 96.93% and 89.10% on the WHU and Massachusetts datasets, respectively, effectively addressing the false detection issues caused by similar textures or colors in the building extraction process.…”
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A Composite Vision-Based Method for Post-Assembly Dimensional Inspection of Engine Oil Seals by Yu Li, Jing Zhao, Xingyu Gao, Weiming Li, Rongtong Jin, Guohao Tang, Yang Huang, Shuibiao Chen

“…Addressing the challenge of manual dependency and the difficulty in automating the online detection of height discrepancies following engine oil seal assembly, this paper proposes a composite vision-based method for the post-assembly size inspection of engine oil seals. …”
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Segmenting hydrogen‐induced cracking defects in steel through scanning acoustic microscopy and deep neural networks by Thi Thu Ha Vu, Tan Hung Vo, Le Hai Tran, Jaeyeop Choi, Truong Tien Vo, Cao Duong Ly, Thanh Phuoc Nguyen, Sudip Mondal, Junghwan Oh

“…This phenomenon compromises the structural integrity of steel pipelines and equipment. Accurate detection and monitoring of HIC are crucial for the safety and reliability of these assets. …”
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Breast calcifications. Literature review by O. S. Khodorovich, V. A. Solodkiy, V. O. Kleshneva, T. V. Sherstneva, K. V. Ishchenko

“…Interest in the early detection of benign and malignant pathology of the mammary gland is growing every year. …”
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An Automated Feature-Based Image Registration Strategy for Tool Condition Monitoring in CNC Machine Applications by Eden Lazar, Kristin S. Bennett, Andres Hurtado Carreon, Stephen C. Veldhuis

“…However, conventional MV-TCM edge detection strategies process each image independently to infer edge positions, rendering them susceptible to inaccuracies when tool edges are compromised by material adhesion or chipping, resulting in imprecise wear measurements. …”
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Enhancing vector control: AI-based identification and counting of Aedes albopictus (Diptera: Culicidae) mosquito eggs by Minghao Wang, Yibin Zhou, Shenjun Yao, Jianping Wu, Minhui Zhu, Linjuan Dong, Dunjia Wang

“…The identification and counting process involved applying the tile overlapping method, while morphological filtering was employed to remove impurities. …”
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Detectron2-enhanced mask R-CNN for precise instance segmentation of rice blast disease in Tanzania: Supporting timely intervention and data-driven severity assessment by Reuben Alfred, Judith Leo, Shubi F. Kaijage

“…Furthermore, testing on unseen images (images not used in the training process) demonstrated strong generalization, with detection confidence above 99 % and accurate masks that provide reliable severity scores. …”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…To address these challenges, this paper proposes a traffic flow statistical method based on YBOVDT(YOLO-World and BOT-SORT-Open Vocabulary Detection and Tracking)and SAM2.Specifically, in the method, this paper proposes a “Traffic Flow Data Processing and Analysis” module, aiming to optimize and supplement the five core functions required for traffic flow statistics tasks, thereby making the functions of the entire solution more comprehensive.In addition, this paper combines the latest open set object detection and tracking algorithms to enhance the recognition ability and tracking stability of traffic objects. …”
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Electrochemical Sensing of Neurotransmitters Using a Metal Nanoparticle-Based Composite Platform by Stelian Lupu, Sorina-Alexandra Leau, Cecilia Lete, Ioana Diaconu, Cristian Matei

“…The sensing platform was tested and successfully validated in the detection of epinephrine, with good analytical performance, achieving a low detection limit of 0.5 µM and a wide linear response range of 1 to 100 μM epinephrine. …”
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Diagnosis of Autism Spectrum Disorder (ASD) by Dynamic Functional Connectivity Using GNN-LSTM by Jun Tang, Jie Chen, Miaojun Hu, Yao Hu, Zixi Zhang, Liuming Xiao

“…Early detection of autism spectrum disorder (ASD) is particularly important given its insidious qualities and the high cost of the diagnostic process. …”
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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…Accurate and early detection of brain tumors is essential for improving clinical outcomes and guiding effective treatment planning. …”
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Responsive Mn‐Ferrite Nanoparticles for Multicolor Magnetic Particle Imaging, Sensing, and Reactive Oxygen Species Degradation by Fabian H. L. Starsich, Julia Feye, Robert Niβler, Gabriela Da Silva André, Elena Totter, Konrad Scheffler, Florian Thieben, Erik Mayr, Jochen Franke, Tobias Knopp, Inge K. Herrmann

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Photocatalytic degradation of methylene blue dye with biosynthesized Hematite α-Fe2O3 nanoparticles under UV-Irradiation by Mohamed Bilal Goudjil, Halima Dali, Souad Zighmi, Zineb Mahcene, Salah Eddine Bencheikh

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Deteksi Covid-19 pada Citra Sinar-X Dada Menggunakan Deep Learning yang Efisien by Novanto Yudistira, Agus Wahyu Widodo, Bayu Rahayudi

“…CNN with fewer parameters can save storage and memory usage so that it can process in real time both in the form of detection devices and decision-making systems via the cloud. …”
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Using fuzzy decision support to create a positive mental health environment for preschoolers by Xinyue Li

“…To assess their mental health before starting school, preschoolers need early detection, intervention, and assessment. However, data shortages, heterogeneity, privacy issues, model interpretability, and generalization restrictions hamper the review process. …”
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Risk management in biobanking by A. L. Borisova, M. S. Pokrovskaya, A. N. Meshkov, A. V. Kontsevaya, O. M. Drapkina

“…We present the methodology of the risk management process developed on the basis of the literary data, world experience and experience of the biobank of the National Medical Research Center for Therapy and Preventive Medicine.Results. …”
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