Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset by Mautushi Das, Gonzalo Ferreira, C.P. James Chen

“…This study investigates the generalization capabilities of object detection models for cow detection in indoor free-stall barn settings, focusing on varying training data characteristics such as view angles and lighting, and model complexities. …”
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Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning–based Solar Flare Prediction by Junzhi Wen, Azim Ahmadzadeh, Manolis K. Georgoulis, Viacheslav M. Sadykov, Rafal A. Angryk

“…Although various machine learning algorithms have been employed to improve solar flare prediction, there has been limited focus on improving performance using outlier detection. In this study, we propose the use of a tree-based outlier detection algorithm, Isolation Forest (iForest), to identify multivariate time-series instances within the flare-forecasting benchmark data set, Space Weather Analytics for Solar Flares (SWAN-SF). …”
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Automatic detection of trapping events of postnatal piglets in loose housing pen: comparison of YOLO versions 4, 5, and 8 by Taeyong Yun, Jinsul Kim, Jinhyeon Yun, Tai-Won Um

“…Notably, trapping detection performance was similar between YOLOv5s and YOLOv8s. …”
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Towards Imbalanced Multiclass Driver Distraction Identification by Kapotaksha Das, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea

“…Driver distraction is one of the leading causes of driving-related accidents worldwide. The ability to detect driver distraction preemptively is crucial to reducing the number of such accidents. …”
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Establishment and mapping of heterogeneous anomalies in network intrusion datasets by Liam Riddell, Mohiuddin Ahmed, Paul Haskell-Dowland

“…Anomaly detection in the scope of network security aims to identify network instances for the unexpected and unique, with various security operations employing such techniques to facilitate effective threat detection. …”
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Identifying All Matches of a Rigid Object in an Input Image Using Visible Triangles by Abdullah N. Arslan

“…It has been suggested that for objects identifiable by their corners, every triangle formed by these corner points can serve as a reference for detecting other corner points. This approach enables effective rigid object detection, including partial matches. …”
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SGW-YOLOv8n: An Improved YOLOv8n-Based Model for Apple Detection and Segmentation in Complex Orchard Environments by Tao Wu, Zhonghua Miao, Wenlei Huang, Wenkai Han, Zhengwei Guo, Tao Li

“…The results show that the SGW-YOLOv8n model significantly improves relative to the original YOLOv8n in target detection and instance segmentation tasks, especially in occlusion scenes. …”
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MQTTEEB-D: A Real-World IoT Cybersecurity Dataset for AI-Powered Threat Detection in MQTT NetworksMendeley Data by Abderrahmane Aqachtoul, Khaoula Karam, Abderrahmane Elamrani, Mehdi Najib, Najat Rafalia, Mohamed Bakhouya

“…Several processed forms of data (e.g., raw, cleaned, normalized, standardized), along with detailed metadata are also provided for being used, for instance, to develop and validate AI-driven intrusion detection models.…”
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CBAM-SwinT-BL: Small Rail Surface Defect Detection Method Based on Swin Transformer With Block Level CBAM Enhancement by Jiayi Zhao, Alison Wun-Lam Yeung, Muhammad Ali, Songjiang Lai, Vincent To-Yee Ng

“…Our proposed method integrates CBAM successively within the swin transformer blocks, resulting in significant performance improvement in rail defect detection, particularly for categories with small instance sizes. …”
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Case Report: Early detection of neonatal volvulus by ultrasound in a 2-day-old neonate: timely intervention prevents complications by Yunqin Chen, Hongping Lu, LinJun Yu, Lizhen Wang, Jie Li, Fuen Liang, Haiting Li, Xiyang Chen, Junhui Yuan, Enfu Tao

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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…The rationale behind highlighting these models is their potential to significantly improve smishing detection rates. For instance, the high accuracy of the KNN-Flatten model suggests its applicability in real-time spam detection systems, but its computational complexity might limit scalability in large-scale deployments. …”
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Efficient detection of specific volatile organic compounds using functionalized titanium carbide (Ti3C2Tx) MXenes by Narender Kumar, Tanveer Hussain, Lei Shen, Yuan Ping Feng, Nacir Tit

“…Towards this end, one amongst the pathologies is to consider the efficient detection of volatile organic compounds (VOCs) related, for instance, to the pancreatic cancer existing in exhaled breath, bile, or urine of patients. …”
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Tracking adipose-derived mesenchymal stromal cells in the eye: Integrating IVIS imaging and Alu PCR for enhanced detection of human cells by Robert M. Rusch, Emi Inagaki, Kentaro Ago, Tetsu Yoshida, Yui Ueno, Hidenori Nonaka, Hideyuki Okano, Masaya Nakamura, Shigeto Shimmura

“…Genetically modified cells express luciferase, allowing for the detection of light emission when luciferin is administered. …”
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BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

“…The CICMalDroid 2020 dataset, comprising 13,077 applications, was utilized to create a balanced dataset of 3,590 images, with an equal number of benign and malware instances. The proposed detection system was developed using lightweight models, including EfficientNetB0, MobileNetV2, and a custom model as CNN models. …”
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M18K: A Multi-Purpose Real-World Dataset for Mushroom Detection, 3D Pose Estimation, and Growth Monitoring by Abdollah Zakeri, Mulham Fawakherji, Jiming Kang, Bikram Koirala, Venkatesh Balan, Weihang Zhu, Driss Benhaddou, Fatima A. Merchant

“…With a total of 2000 images for object detection, instance segmentation, and 3D pose estimation—containing over 100,000 mushroom instances—and an additional 3838 images for yield estimation featuring eight mushroom scenes covering the complete growth period, it fills the gap in mushroom-specific datasets and serves as a benchmark for detection and instance segmentation as well as 3D pose estimation algorithms in smart mushroom agriculture. …”
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CylinDeRS: A Benchmark Visual Dataset for Robust Gas Cylinder Detection and Attribute Classification in Real-World Scenes by Klearchos Stavrothanasopoulos, Konstantinos Gkountakos, Konstantinos Ioannidis, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris

“…CylinDeRS contains 7060 RGB images, depicting various challenging environments and featuring over 25,250 annotated instances. It addresses two tasks: (a) the detection of gas cylinders as objects of interest, and (b) the attribute classification of the detected gas cylinder objects for material, size, and orientation. …”
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MDD-YOLOv8: A Multi-Scale Object Detection Model Based on YOLOv8 for Synthetic Aperture Radar Images by Jie Liu, Xue Liu, Huaixin Chen, Sijie Luo

“…This model is not only fast but also highly accurate, with fewer instances of missed or incorrect detections. Our proposed model outperforms the baseline YOLOv8 in SAR image detection by utilizing dynamic convolution to replace static convolution (DynamicConv) and incorporating a deformable large kernel attention mechanism (DLKA). …”
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A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders by Shahid Tufail, Hasan Iqbal, Mohd Tariq, Arif I. Sarwat

“…To address these issues, we have proposed a framework to detect such attacks in this study. Using a stacked autoencoder architecture, synthetic instances of minority class data were generated. …”
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Clinical Application of SARS-CoV-2 IgM and IgG Antibody Detection Using the Colloidal Gold Immunochromatography Assay by Lipeng Liu, Kangping Zhou, Yan Xing, Wei Luo, Bing Pei, Junqiang Xu, Lei Yi, Honglei Wang, Juan Wang, Wei Zhang, Fei Yu, Kun Cai, Peng Liu

“…In addition, the false-positive rate of IgM and IgG combined nucleic acid detection was 30% in the early stage. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d1449689e296"> <!…”
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Assessment and Validation of a Computer Vision Algorithm for Wildfire Rate of Spread Estimation by Ehsan Ameri, Kyle Awayan, Jeanette Cobian-Iñiguez

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