Improved A-Line and B-Line Detection in Lung Ultrasound Using Deep Learning with Boundary-Aware Dice Loss by Soolmaz Abbasi, Assefa Seyoum Wahd, Shrimanti Ghosh, Maha Ezzelarab, Mahesh Panicker, Yale Tung Chen, Jacob L. Jaremko, Abhilash Hareendranathan

“…Additionally, it demonstrated superior performance in Specificity (0.97) and Precision (0.85), with a significantly reduced Hausdorff Distance of 15.13, indicating improved boundary delineation and overall segmentation quality. Post-processing techniques were applied to automatically detect and count A-lines and B-lines, demonstrating the potential of the segmented outputs in diagnostic workflows. …”
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The climate gluing protests: analyzing their development and framing in media since 1986 using sentiment analyses and frame detection models by Markus Hadler, Alexander Ertl, Beate Klösch, Markus Reiter-Haas, Elisabeth Lex

“…Using sentiment analysis and frame detection models, we analyze a corpus of all available English-language news articles in LexisNexis, with the first recorded instance of a gluing protest appearing in 1986. …”
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Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection by Tsedeke Temesgen Habe, Keijo Haataja, Pekka Toivanen

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Highly Accurate and Robust Early Stage Detection of Cholangiocarcinoma Using Near-Lossless SERS Signal Processing with Machine Learning and 2D CNN for Point-of-care Mobile Application by Pobporn Danvirutai, Thatsanapong Pongking, Suppakrit Kongsintaweesuk, Somchai Pinlaor, Sartra Wongthanavasu, Chavis Srichan

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Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals by R. Nandakumar, Rajesh Arunachalam, R Pugalenthi, Karthikayen Arunachalam

“…The collected signals undergo for pre-processing stage, which is further decomposed into five signals delta, theta, alpha, beta, and gamma. …”
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Assessing Fine-Tuned NER Models with Limited Data in French: Automating Detection of New Technologies, Technological Domains, and Startup Names in Renewable Energy by Connor MacLean, Denis Cavallucci

“…In addition, as the model is fine-tuned on news related to startups, we note an improvement in the detection of startup and company names in the “ORG” category. …”
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Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study by Ravi Shankar, Anjali Bundele, Amanda Yap, Amartya Mukhopadhyay

“…With the growing prevalence of chronic diseases and an aging population, there is an urgent need for accessible and scalable solutions to detect and address caregiver burden. Artificial Intelligence (AI) chatbots using natural language processing (NLP) have shown promise in providing mental health support and monitoring through natural conversations. …”
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A novel topographic correction framework for detecting forest disturbance from annual wide-time-window Landsat time series by Yating Li, Shuai Li, Xiao Xu, Zhenzi Wu, Hui Fan

“…The framework simulates spectral reflectance distortions from illumination variations in uncorrected WTW-LTSs before change detection and employs post-processing to remove the resulting topographic artifacts from detected disturbances. …”
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Loosening rocks detection at Draa Sfar deep underground mine in Morocco using infrared thermal imaging and image segmentation models by Kaoutar Clero, Said Ed-Diny, Mohammed Achalhi, Mouhamed Cherkaoui, Imad El Harraki, Sanaa El Fkihi, Intissar Benzakour, Tarik Soror, Said Rziki, Hamd Ait Abdelali, Hicham Tagemouati, François Bourzeix

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BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in BangladeshMendeley Data by Md Hasanul Ferdaus, Rizvee Hassan Prito, Ahmed Abdal Shafi Rasel, Masud Ahmed, Md. Jahid Hassan Saykot, Shanjida Sultan Shanta, Sonali Akter, Ankan Chandra Das, Mohammad Manzurul Islam, Mahamudul Hasan, Md Sawkat Ali

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Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction by Esmat Ramezanzadeh, Naser Shoeibi, Akram Feizabadi, Touka Banaee, Mohammad Hossein Bahreyni Tussi, Meysam Tavakoli

“…We developed an automated method for detecting HEs in CFP images. The approach involves a comprehensive framework comprising preprocessing, main processing, feature extraction, and post-processing. …”
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Detection and segmentation framework for defect detection on multi-layer ceramic capacitors by Hyun-Jae Kim, Sung-Bin Son, Heung-Seon Oh

“…This approach follows the traditional inspection process but can be performed without specialized personnel. …”
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The study on multi-defect detection for leather using object detection techniques by Hasan Onur Ataç, Ahmet Kayabaşı, M. Fatih Aslan

“…Six targeted defect types, denoted as insect bites, scratches, holes, stitch marks, diseased and ruptures, were specifically addressed to enhance the overall quality assessment process. AI-based vision techniques were used to detect flaws on the leather on photographs taken with a high-resolution camera. …”
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Innovative approaches to English pronunciation instruction in ESL contexts: integration of multi-sensor detection and advanced algorithmic feedback by Li Ping, Ning Tao

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LLaMA 3 vs. State-of-the-Art Large Language Models: Performance in Detecting Nuanced Fake News by Stefan Emil Repede, Remus Brad

Subjects: “…fake news detection…”
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ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations by Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

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Exposed conductor detection of 10 kV distribution line based on improved YOLOv8 by Qiwen JING, Sipeng HAO, Siyuan LI

Subjects: “…image feature information processing…”
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gamUnet: designing global attention-based CNN architectures for enhanced oral cancer detection and segmentation by Jinyang Zhang, Hongxin Ding, Hongxin Ding, Runchuan Zhu, Weibin Liao, Weibin Liao, Junfeng Zhao, Junfeng Zhao, Min Gao, Xiaoyun Zhang

“…Conventional diagnosis relies on manual evaluation of hematoxylin and eosin (H&E)-stained slides, a time-consuming process requiring specialized expertise and prone to variability. …”
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Towards a model for integrating process verification in process-driven application development by Nguyễn Thanh Tuấn, Lê Thành Nhân, Hoàng Thị Thanh Hà

“…While monolithic software systems are still common, Process-Driven Applications (PDA) offer flexible, sustainable, and integrable solutions, relying on Business Process Model and Notation (BPMN) for process modeling. …”
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Automation of Plagiarism and AI Detection in IT Students Papers with a Software Tool Using API by Oleksandr Sharyhin, Oksana Klochko, Ihor Tverdokhlib

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