A deep learning-based algorithm for the detection of personal protective equipment. by Bo Tong, Guan Li, Xiangli Bu, Yang Wang, Xingchen Yu

“…A customized Task Alignment Module was introduced to integrate interactive features, optimizing both classification and localization tasks. The DCNV2(Deformable Convolutional Networks v2) module was incorporated to handle geometric scale transformations by generating spatial offsets and feature masks from interactive features, thereby improving localization accuracy and dynamically selecting weights to enhance classification precision.The improved model incorporates rich multi-level and multi-scale features, allowing it to better adapt to tasks involving geometric transformations and aligning with the image data distribution in construction scenarios. …”
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A Brain Network Analysis-Based Double Way Deep Neural Network for Emotion Recognition by Weixin Niu, Chao Ma, Xinlin Sun, Mengyu Li, Zhongke Gao

“…Constructing reliable and effective models to recognize human emotional states has become an important issue in recent years. In this article, we propose a double way deep residual neural network combined with brain network analysis, which enables the classification of multiple emotional states. …”
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Absence of metacarpophalangeal synovitis by high-resolution ultrasonography distinguishes psoriatic arthritis from rheumatoid arthritis – A cross-sectional study by Ashish K Badika, Ashish Jacob Mathew, Shivraj Padiyar, Avinash Suresh Buche, John Mathew, Anitha Barney, Shyamkumar N Keshava, Debashish Danda

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Small Target Detection for Power Line Components in Complex UAV Imagery by Zhiyuan Sun, Xu Wang

“…To mitigate this issue, we redesign the decoupled detection head to decouple classification from localization. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…Hypertension is a critical risk factor and cause of mortality in cardiovascular diseases, and it remains a global public health issue. Therefore, understanding its mechanisms is essential for treating and preventing hypertension. …”
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Research on Living Conservation Strategies for the Ming-Guangwu Great Wall Based on the Grey Relational Analysis Model by Weicheng Han, Zele Mo, Wei Wang

“…Ultimately, the study establishes a classification and grading system for conservation elements centered on the sustainable development of the Great Wall heritage. …”
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Multi channel fusion diffusion models for brain tumor MRI data augmentation by Cuihua Zuo, Junhao Xue, Cao Yuan

“…The results show that the enhanced data improved the classification accuracy by approximately 3% and the Dice coefficient for segmentation tasks by 1.5%–2.5%. …”
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Brain-Shapelet: A Framework for Capturing Instantaneous Abnormalities in Brain Activity for Autism Spectrum Disorder Diagnosis by Yijie Ren, Zhengwang Xia, Yudong Zhang, Zhuqing Jiao

“…It is evaluated on the ABIDE dataset and achieves a classification accuracy of 82.8%, significantly outperforming traditional brain network modeling methods. …”
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High-resolution esophageal manometry in systemic sclerosis in the indian population: An observational study by S Kartik, Dharmendra Kumar, Gaurav Sikri, Deepanjan Dey, A B Srinivasa, Binit Kumar

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An epidemiological review of sacrococcygeal teratoma over five years in a tertiary care hospital by Mukhopadhyay Bedabrata, Das Chhanda, Sengupta Moumita, Saha Ashis Kumar, Mukhopadhyay Madhumita, Mukhopadhyay Biswanath

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Predicting fertilizer treating of maize using digital image processing and deep learning approaches by Eshete Derb Emiru, Kassie Bishaw

“…An automated approach to identify and categorize fertility problems in maize plants is desperately needed to address this issue. The goal of this study is to develop a model for the recognition and classification of fertilizer treatment for maize based on maize leaf images, using deep learning algorithms to facilitate and improve the recognition and early control of fertilizer treatment for maize. …”
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Enhancing Review Processing in the Video Game Adaptation Domain through VADER and Rating-Based Labeling using SVM by Danita Divka Sajmira, Khothibul Umam, Maya Rini Handayani

“…A key issue addressed is the discrepancy between numerical ratings and the sentiment conveyed in review texts, which may lead to inconsistent labeling. …”
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A novel software-defined networking controlled vehicular named-data networking for trustworthy emergency data dissemination and content retrieval assisted by evolved interest packe... by Mazen Alowish, Yoshiaki Shiraishi, Yasuhiro Takano, Masami Mohri, Masakatu Morii

“…Emergency data dissemination is initiated with packet classification. For packet classification, policy-based bifold classifier is proposed in roadside unit and supported by evolved interest packet. …”
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URM: A Unified RAM Management Scheme for NAND Flash Storage Devices by A. Xiaochang Li, B. Jichen Chen, C. Zhengjun Zhai, D. Mingchen Feng, E. Xin Ye

“…Our multivariate classification is transformed into multiple binary classifications (logistic regressions). …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

“…This study explores automated depression classification, leveraging computational techniques to address this issue. …”
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Calcium pyrophosphate deposition disease: points to be considered for quality assurance in clinical practice by Michael Schirmer, Johannes Dominikus Pallua

“…As patients report more significant unmet treatment needs than patients with gout, education is an essential issue of care. The new classification criteria will allow the validation of standardized outcome parameters with the definition of remission and low disease activity for developing treat-to-target strategies to perform well-designed interventional trials evaluating new treatment options and strategies.…”
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Partial Discharge Diagnosis Using Semi-Supervised Learning and Complementary Labels in Gas-Insulated Switchgear by Ho Trong Tai, Young-Woo Youn, Hyeon-Soo Choi, Yong-Hwa Kim

“…Deep neural networks have proven to be highly efficient in fault detection and classification using partial discharges (PDs) in gas-insulated switchgear (GIS). …”
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Hybridization and diversity of the genus Vandenboschia in Korea insights from morphological, cytological, and genotype analyses by Sang Hee Park, Jung Sung Kim, Hyoung Tae Kim

“…Abstract The genus Vandenboschia exhibits significant diversity, driven by complex hybridization events and varying ploidy levels in the natural habitats of Korea, leads to misidentifications that obscure its true distribution and classification. To address this issue, the present study employed morphological, cytological, and genotype analyses to clarify the taxonomical circumscription and distribution patterns of the Vandenboschia radicans complex in Korea. …”
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Underutilized Feature Extraction Methods for Burn Severity Mapping: A Comprehensive Evaluation by Linh Nguyen Van, Giha Lee

“…Machine learning (ML) models utilizing satellite-derived vegetation indices are crucial for assessing wildfire damage; however, incorporating many indices can lead to multicollinearity, reducing classification accuracy. While principal component analysis (PCA) is commonly used to address this issue, its effectiveness relative to other feature extraction (FE) methods in BSM remains underexplored. …”
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Proactive Complaint Management in Public Sector Informatics Using AI: A Semantic Pattern Recognition Framework by Marco Esperança, Diogo Freitas, Pedro V. Paixão, Tomás A. Marcos, Rafael A. Martins, João C. Ferreira

“…Conventional keyword-based approaches are inadequate for detecting semantically similar issues expressed in diverse ways. This study proposes an AI-powered framework that employs BERT-based sentence embeddings, semantic clustering, and classification algorithms, structured under the CRISP-DM methodology, to standardize and automate complaint analysis. …”
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