Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by Wafiq Azizah, Soffiana Agustin

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Detecting the Helicobacter pylori 16S rRNA Gene in Dyspepsia Patients Using Real-Time PCR by Rike Syahniar, Mardiastuti H Wahid, Ari Fahrial Syam, Andi Yasmon

“…The coccoid form of H. pylori is difficult to detect either by culture or histopathology; however, it can be detected using molecular methods, such as real-time PCR. …”
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Design, simulation, and manufacturing of analyzer optical cell for detection and measurement of injectable odorant at pressure reduction stations by Hamideh Samari Jahromi, Mohsen Abdollahi, Azardokht Mazaheri, Soleyman Mantaghi, Amirhomayoon Rezaeian, Ali Sadouni, Hamidreza Naseri, Kioumars Taheri, Fariborz Hashemipour, Foad Hamzavi, Abdolsamad Naseh

“…In this study, a hybrid UV-IR analyzer for detecting key odorant compounds was designed and developed. …”
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Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms by Mingyu Hong, Jiarong Wang, Ming Zhu, Shenyi Cao, Haitao Nie, Xiangdong Xu

“…This study presents a multi-object tracking system specifically designed for weak-textured infrared targets, aimed at enhancing detection accuracy and tracking stability. Initially, improvements are made to the YOLOv10 model through the incorporation of modules such as DSA, c2f_fasterblock, and NMSFree, which collectively enhance detection accuracy and robustness for weak-textured targets. …”
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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

“…BackgroundThe methods used to detect epileptic seizures using electroencephalogram (EEG) signals suffer from poor accuracy in feature selection and high redundancy. …”
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Detecting the Helicobacter pylori 16S rRNA Gene in Dyspepsia Patients Using Real-Time PCR by Rike Syahniar, Mardiastuti H Wahid, Ari Fahrial Syam, Andi Yasmon

“…The coccoid form of H. pylori is difficult to detect either by culture or histopathology; however, it can be detected using molecular methods, such as real-time PCR. …”
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A Lightweight Citrus Ripeness Detection Algorithm Based on Visual Saliency Priors and Improved RT-DETR by Yutong Huang, Xianyao Wang, Xinyao Liu, Liping Cai, Xuefei Feng, Xiaoyan Chen

“…However, accurately and efficiently detecting citrus ripeness in complex orchard environments for selective robotic harvesting remains a challenge. …”
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Method for Extracting Impact Signals in Falling Weight Deflectometer Calibration Based on Frequency Filtering and Gradient Detection by Jiacheng Cai, Yingchao Luo, Bing Zhang, Lei Chen, Lu Liu

“…Furthermore, gradient detection was employed to precisely determine the initiation moment of the impact. …”
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Enhanced CAD Detection Using Novel Multi-Modal Learning: Integration of ECG, PCG, and Coupling Signals by Chengfa Sun, Xiaolei Liu, Changchun Liu, Xinpei Wang, Yuanyuan Liu, Shilong Zhao, Ming Zhang

“…Early and highly precise detection is essential for delaying the progression of coronary artery disease (CAD). …”
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FruitVision: A benchmark dataset for fresh, rotten, and formalin-mixed fruit detectionMendeley Data by Md. Hasan Imam Bijoy, Syeda Zarin Tasnim, Syed Ali Awsaf, Md. Zahid Hasan

“…Ensuring fruit safety is essential, especially in detecting formalin-mixed samples. Formalin is a common preservative used to extend shelf life, but it poses serious health risks. …”
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Detection of mare parturition through balanced multi-scale feature fusion based on improved Libra RCNN. by Buyu Wang, Weijun Duan, Jian Zhao, Dongyi Bai

“…Moreover, this study employed a statistical method combined with a sliding window mechanism to assess the algorithm's performance in detecting mare parturition in video stream continuous monitoring scenarios, achieving an accuracy rate of 92.75% for mare parturition detection. …”
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Real-Time jamming detection using windowing and hybrid machine learning models for pre-saturation alerts by J. Sormayli, M. Darvishi, K. Zarrinnegar, M. R. Mosavi

“…Abstract This paper proposes a new deep learning and machine learning model for detecting deception and suppression jamming in Ublox-M8T receivers operating under GNSS interference. …”
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Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach by Sumaira Tabassum, M. Jawad Khan, Javaid Iqbal, Asim Waris, M. Adeel Ijaz

“…An Autoencoder-based system is initially trained with unlabeled data to identify chromosome patterns. …”
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A Novel Dynamic Characteristic for Detecting Breathing Cracks in Blades Based on Vibration Response Envelope Analysis by Minghao Pan, Yongmin Yang, Fengjiao Guan, Haifeng Hu, Zifang Bian, Wenkang Huang, Bohao Xiao, Ang Li

“…The study shows that under identical operational conditions, blades with cracks of equivalent depth and location exhibit maximum sensitivity to crack detection when EDIVR dynamic characteristics are employed as the fault diagnostic criterion. …”
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Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection by Zhicheng Lin, Zi-Qiang Lang, Lingzhong Guo, Dawn C Walker, Malwina Matella, Mengxiao Wang, Craig Murdoch

“…This study presents one of the first applications of EIS for the detection and classification of oral potentially malignant disorders (OPMDs) and oral cancer. …”
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Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification by A. Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, Jae Young Choi

“…This paper addresses this limitation by proposing a so-called hierarchical feature attention learning network, which initially focuses on the target object within the image, followed by multi-headed attention to identify key discriminative locations (patches). …”
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Anesthesia information system–assisted detection and effective management of sugammadex-induced anaphylaxis: a case report by Yuhei Mae, Michiyoshi Sanuki

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Abstract 035: Workflow Improvements from Automated LVO Detection Algorithms Are Dependent on Care Team Engagement by Hussain M Azeem

“…Introduction Automated machine learning (ML)‐based large vessel occlusion (LVO) detection algorithms have been shown to improve in‐hospital workflow metrics including door to groin time (DTG). …”
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An automatic acne detection, severity, and assessment framework using generative adversarial network with deep neural network by Umara Khalid, Li Chen, Abdullah Ayub Khan, Faisal Mehmood

“…However, the accuracy of acne detection and related severity analysis is becoming a significant prospect for the precise treatment of patients. …”
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TriPlaNet: Enhancing machine-paraphrasing plagiarism detection through triplet network and contrastive learning by Deyu Meng, Ziheng Wang, Tshewang Phuntsho, Tad Gonsalves

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