Benchmarking bias in embeddings of healthcare AI models: using SD-WEAT for detection and measurement across sensitive populations by Magnus Gray, Leihong Wu

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Reliable unmanned aerial vehicle-based thermal infrared target detection method for monitoring Procapra przewalskii in Qinghai by Guoqing Zhang, Wei Luo, Yongxiang Zhao, Quanqin Shao, Lin Li, Keyu Mei, Guohong Li

“…Background-suppressed images can effectively minimize most background pixels, while regions with high vector values in optical flow–processed images indicate object positions. The model extracts raw feature data, object details, and movement information from these inputs to improve detection performance. …”
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Automated Edge Detection for Cultural Heritage Conservation: Comparative Evaluation of Classical and Deep Learning Methods on Artworks Affected by Natural Disaster Damage by Laya Targa, Carmen Cano, Álvaro Solbes-García, Sergio Casas, Ester Alba, Cristina Portalés

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Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach by Alfredo Cuzzocrea, Mst Shapna Akter, Hossain Shahriar, Pablo García Bringas

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Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework by Alemayehu Tilahun Haile, Surafel Lemma Abebe, Henock Mulugeta Melaku

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A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning by Zineb Maasaoui, Mheni Merzouki, Abdella Battou, Ahmed Lbath

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From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X by Omar Alsodi, Xujuan Zhou, Raj Gururajan, Anup Shrestha, Eyad Btoush

“…To address this risk, numerous studies have explored methods to detect and predict cyber attacks by analyzing X data. …”
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Real-Time Smoke Detection in Surveillance Videos Using an Enhanced RT-DETR Framework with Triplet Attention and HS-FPN by Lanyan Yang, Yuanhang Cheng, Fang Xu, Boning Li, Xiaoxu Li

Subjects: “…smoke detection…”
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Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging by Chun-Han Chang, Stefano Sfarra, Nan-Jung Hsu, Yuan Yao

Subjects: “…thermographic data processing…”
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Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves by Imane Bouacida, Brahim Farou, Lynda Djakhdjakha, Hamid Seridi, Muhammet Kurulay

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YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites by Davide Antonio Mura, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

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Detection of Remaining Feed in the Feed Troughs of Flat-Fed Meat Ducks Based on the RGB-D Sensor and YOLO V8 by Xueliang Tan, Junjie Yuan, Shijia Ying, Jizhang Wang

“…Subsequently, YOLOv8 is utilized to identify the positions of the feed troughs, and the volume of the remaining feed is determined through point cloud processing. The accuracy of this detection method was evaluated using various types of feed troughs and feed particle sizes. …”
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Global detection and management of dysglycaemic patients with coronary artery disease results from the INTERASPIRE survey from 14 countries across six WHO regions by Safi Moayad Al-Azzawy, John William McEvoy, Isabelle Johansson, Agnieszka Adamska, Guy De Backer, Iris Erlund, Sandra Ganly, Catriona Jennings, Kornelia Kotseva, Gregory Y. H. Lip, Linda Mellbin, Kausik K. Ray, Terhi Vihervaara, David Wood, Ana Abreu, Wael Almahmeed, Ade Meidian Ambari, Junbo Ge, Hosam Hasan-Ali, Yong Huo, Piotr Jankowski, Rodney M. Jimenez, Yong Li, Syadi Mahmood Zuhdi, Abel Makubi, Amam Chinyere Mbakwem, Lilian Mbau, Jose Luis Navarro Estrada, Okechukwu Samuel Ogah, Elijah Nyainda Ogola, Adalberto Quintero–Baiz, Mahmoud Umar Sani, Maria Ines Sosa Liprandi, Jack Wei Chieh Tan, Miguel Alberto Urina Triana, Tee Joo Yeo, Dirk De Bacquer, Lars Rydén

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Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model by Mohammed N. Swileh, Shengli Zhang

“…In this paper, we introduce a novel approach that leverages Natural Language Processing (NLP) and the pre-trained Bidirectional Encoder Representations from Transformers (BERT)-base-uncased model to enhance the detection of attacks in SDN environments. …”
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An Observer-Based Event Triggered Mechanism for the Detection and Mitigation of FDI Attacks in Deep Brain Stimulation Systems by Ping Yu, Ding Yang, Khalid A. Alattas, Ardashir Mohammadzadeh, Afef Fekih

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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…The digital data gathered by this PPG sensor and image data captured from the smart camera are then processed by a Raspberry Pi Zero 2 W. It does most of the data analysis and decision-making. …”
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Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition by Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam

“…The results prove the robustness and reliability of using VMD for drive-by damage detection. The method outcomes indicate that through the VMD method, cracks with a depth of 10% to 20% of the beam height can be detected even in the case of a rough road profile. …”
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Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case by Shitao Ge, Wei Zhang, Licheng Han, Yan Peng, Jianliang Sun

“…In the production process of cross-cutting boards, real-time measurement of dimensions online has been a long-standing technical problem in the production field. …”
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Automatic ovarian follicle detection using object detection models by Maya Haj Hassan, Eric Reiter, Misbah Razzaq

“…Our results demonstrate that deep learning methods are useful to speed up the follicle counting process and improve accuracy by correcting manual counting errors.…”
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Digital Edge Detection Based Pneumonia Detection in Chest Radiographs by Poola Rahul Gowtham, Kommineni Prema Teja, Lahari P.L, Yellampalli Siva Sankar

“…Despite this, X-ray images have the tendency of noise and spatial aliasing that tend to cause blurring of some boundaries, thus the importance of having a better edge detection algorithm is more warranted. The article presents a SIMULINK-based model for the process of edge detection, testing the performance of Canny, Laplacian of Gaussian, Prewitt, Sobel and Robert algorithms and most importantly their simulated results. …”
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