Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the “Torch for R” Ecosystem by Dena J. Clink, Jinsung Kim, Hope Cross‐Jaya, Abdul Hamid Ahmad, Moeurk Hong, Roeun Sala, Hélène Birot, Cain Agger, Thinh Tien Vu, Hoa Nguyen Thi, Thanh Nguyen Chi, Holger Klinck

“…ABSTRACT Automated detection of acoustic signals is crucial for effective monitoring of sound‐producing animals and their habitats across ecologically relevant spatial and temporal scales. …”
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Fusion of transfer learning with nature-inspired dandelion algorithm for autism spectrum disorder detection and classification using facial features by G. Elangovan, N. Jagadish Kumar, J. Shobana, M. Ramprasath, Gyanendra Prasad Joshi, Woong Cho

“…The FTLDA-AASDDC technique detects and classifies autism and non-autism samples using facial images. …”
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YOLOv8-RD: High-Robust Pine Wilt Disease Detection Method Based on Residual Fuzzy YOLOv8 by Junchao Yuan, Lina Wang, Tingting Wang, Ali Kashif Bashir, Maryam M. Al Dabel, Jiaxing Wang, Hailin Feng, Kai Fang, Wei Wang

“…These interference factors significantly reduce the accuracy of existing object detection models. Therefore, this article presents a novel and highly robust methodology for detecting PWD, termed YOLOv8-RD. …”
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Numerical analysis of molten iron flow and heat transfer in plumbing casting defect detection using split tracking approach by Sirawit Namchanthra, Pannita Phirommark, Tinnapob Phengpom, Jetsadaporn Priyadumkol, Wichuphan Wijitdamkerng, Watcharapong Chookaew, Chakrit Suvanjumrat, Machimontorn Promtong

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Association between gender, process of care measures, and outcomes in ACS in India: results from the detection and management of coronary heart disease (DEMAT) registry. by Neha J Pagidipati, Mark D Huffman, Panniyammakal Jeemon, Rajeev Gupta, Prakash Negi, Thannikot M Jaison, Satyavan Sharma, Nakul Sinha, Padinhare Mohanan, B G Muralidhara, Sasidharan Bijulal, Sivasubramonian Sivasankaran, Vijay K Puri, Jacob Jose, K Srinath Reddy, Dorairaj Prabhakaran

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EVALUATION OF THE RELIABILITY OF DETECTION OF ADVERSE EVENTS АS A DYNAMIC PROCESS IN THE MULTY-TECNOLOGY PLATFORM «SOFTWARE PACKAGE ELECTRONICS MANAGERY SECURITY GUYRD» by L. N. Elisov, N. I. Ovchenkov

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Loop-mediated isothermal amplification (LAMP) method for fast detection of Campylobacter spp in meat food products and environmental objects of a processing plant’s by Yu. K. Yushina, E. V. Zajko, M. A. Grudistova, M. D. Reshchikov, N. A. Nasyrov, D. V. Nikitchenko

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Nasopharyngeal carcinoma detected noninvasively in the real world using three gene methylation analyses from automatically processed bilateral nasal swab samples by Zi-Han Qin, Si-Yuan Chen, Shuai Zhou, Hua Deng, Lan-Xi Li, Qi-Lun Guo, Xiong Zou, Pei-Yu Huang, Ming-Yuan Chen, Liang Zhang, Yi-Jun Hua

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Detection of Salmonella spp., Candida albicans, Aspergillus spp., and Antimicrobial Residues in Raw and Processed Cow Milk from Selected Smallholder Farms of Zimbabwe by Tryness Anastazia Mhone, Gift Matope, Petronella Tapiwa Saidi

“…A cross-sectional study was conducted to detect the presence of Salmonella spp., Candida albicans, Aspergillus spp., and antimicrobial residues in raw milk (n=120) and processed cow milk (n=20) from smallholder dairy farms from three sites in Zimbabwe. …”
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StyleMI: An Image Processing-Based Method for Detecting Unauthorized Style Mimicry in Fine-Tuned Diffusion Models in a More Realistic Scenario by Xinjun Zhang, Shixin Zuo, Yu Sang

“…However, the former two are vulnerable to image pre-processing and unable to be applied to published artworks, while the latter requires access to the target model, which is typically inaccessible in real-world scenarios. …”
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LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models by Anik Debnath, Yong-Woon Kim, Yung-Cheol Byun

“…The system processes video streams through efficient frame extraction, edge detection and Root Mean Square Error (RMSE)-based frame filtering to identify significant motion events. …”
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A feasibility Study of Detecting Chironomidae Larva in Water Treatment Filtration Processes using ResNet-based Image Recognition Deep Learning by Si Hyeong Park, Myeong Eon Choi, Seung Yong Lee, Jong-Oh Kim, No-Suk Park

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A Community-Based, Technology-Supported Health Service for Detecting and Preventing Frailty among Older Adults: A Participatory Design Development Process by Lex van Velsen, Maddalena Illario, Stephanie Jansen-Kosterink, Catherine Crola, Carolina Di Somma, Annamaria Colao, Miriam Vollenbroek-Hutten

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Design of Coffee Disease Detection Web Application Using Image Processing: A Case Study of Kyabugimbi-Kajunju Cooperative Farms in Bushenyi District. by Asiimwe, Mark, Kakuru, Ambrose

“…This final-year project endeavors to pioneer an image-based solution for the early detection of diseases affecting coffee crops, employing advanced techniques in computer science. …”
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RF-Based UAV Detection and Identification Enhanced by Machine Learning Approach by Yash Vasant Ahirrao, Rana Pratap Yadav, Sunil Kumar

“…This paper introduces the design and implementation of an RF-based system for detecting non-cooperating unmanned aerial vehicles (UAVs). …”
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A comprehensive survey of audio forgery detection: challenges and novel trends by Marwa A. Nasr, Walid El-Shafai, Nariman Abdel-Salam, El-Sayed M. El-Rabaie, Adel S. El-Fishawy, Fathi E. Abd El-Samie

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Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

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From Misinformation to Insight: Machine Learning Strategies for Fake News Detection by Despoina Mouratidis, Andreas Kanavos, Katia Kermanidis

Subjects: “…fake news detection…”
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Building the foundations for an organized population-based cervical cancer screening program with primary HPV self-sampling in Catalonia, Spain: findings from a pilot implementatio... by Paula Peremiquel-Trillas, Paula Peremiquel-Trillas, Paula Peremiquel-Trillas, Paula Peremiquel-Trillas, Esther Roura, Esther Roura, Valentina Rangel-Sarmiento, Valentina Rangel-Sarmiento, Francisca Morey, Rebeca Font, Maite Carvajal, Clàudia Robles, Raquel Ibáñez, Raquel Ibáñez, Lara Pijuan, Lourdes Tamarit, Dolça Cortasa, Daniel Fernández, Josep Alfons Espinàs, Laia Bruni, Laia Bruni, on behalf of the Catalan Cervical Cancer Screening Program working group

“…Among HPV-positive women (11.8%), compliance with triage cytology was high (98.7%), as with colposcopy referrals when indicated (97.2%). CIN2+ detection rates (3.6% overall, 13.1% in HPV-16 positive) aligned with international studies, reinforcing the value of genotype-specific risk stratification and risk-adapted follow-up pathways in our setting. …”
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Prediction of rare and anomalous minerals using anomaly detection and machine learning techniques by Abish Sharapatov, Alisher Saduov, Nazerke Assirbek, Madiyar Abdyrov, Beibit Zhumabayev

Subjects: “…Anomaly detection…”
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