Neural Network Ensemble to Detect Dicentric Chromosomes in Metaphase Images by Ignacio Atencia-Jiménez, Adayabalam S. Balajee, Miguel J. Ruiz-Gómez, Francisco Sendra-Portero, Alegría Montoro, Miguel A. Molina-Cabello

“…Dicentric chromosome scoring is a laborious and time-consuming process which is performed manually in most cytogenetic biodosimetry laboratories. …”
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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

“…Most existing methods are based on a reconstruction process that extracts appearance and pose information from transformed image pairs and spatially aligns them to obtain a reconstructed image for detection. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…Results AI-based models exhibit remarkable performance in skin cancer detection by leveraging advanced deep learning algorithms, image processing techniques, and feature extraction methods. …”
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Coronary heart disease and the course of newly detected prostate cancer by E. V. Pomeshkin, S. V. Popov, I. N. Orlov, A. I. Bragin-Maltsev, S. A. Pomeshkina, O. L. Barbarash

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Global and single-nucleotide resolution detection of 7-methylguanosine in RNA by Silvia D’Ambrosi, Raquel García-Vílchez, Darek Kedra, Patrice Vitali, Nuria Macias-Cámara, Laura Bárcena, Monika Gonzalez-Lopez, Ana M. Aransay, Sabine Dietmann, Antonio Hurtado, Sandra Blanco

“…Notably, compared to NaBH4-based methods, Bo-Seq enhances the m7G detection performance, and simplifies the detection process, eliminating the necessity for intricate chemical steps and reducing the protocol duration. …”
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Detection of Mycobacteria in Arabian camels and antimycobacterial potential of Moringa oleifera by Sahar A. Allam, Eman Mahrous, Sahar T. M. Tolba, Samy M. Mohamed, Mohamed T. Ragab, Rania I. Mohamed

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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…Passive image forgery detection methods that identify forgeries without prior knowledge have become a key research focus. …”
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Molecularly Imprinted SERS Plasmonic Sensor for the Detection of Malachite Green by Hao Zhang, Dani Sun, Yuhao Wen, Mengyuan Wang, Jingying Huang, Ziru Lian, Jinhua Li

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Application of Image Computing in Non-Destructive Detection of Chinese Cuisine by Xiaowei Huang, Zexiang Li, Zhihua Li, Jiyong Shi, Ning Zhang, Zhou Qin, Liuzi Du, Tingting Shen, Roujia Zhang

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Detection of Vibration Signal by Plane Scanning Utilizing Wavefront Sensors by Yun Pan, Quan Luo, Yiyou Fan, Haoming Chen, Hongsheng Luo, Jinshan Su

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Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks by Wenqian Xue, Hengzhi Zhang, Yong Li, Dong Liang, Mugen Peng

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Comparative Analysis of Audio Features for Unsupervised Speaker Change Detection by Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev, Alexander Krassovitskiy, Bagashar Zhumazhanov

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Evaluating Flood Damages using Land Cover Changes Detection by P. Raeva, S. Katsarska-Filipova, D. Filipov

“…The methodology integrates Sentinel-1 SAR and Sentinel-2 optical satellite imagery with open-access data from Bulgarian institutions, processed using open-source software platforms. Flooded areas and shifts in land use were mapped using computed optical indices and SAR backscatter change detection. …”
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A Portable Optical Sensor for Microplastic Detection: Development and Calibration by Maximiliano Campos-López, Ricardo Aguilar-Garay, Dafne E. González-Rodriguez, Verónica I. Mejía-Lopez, Margoth M. Gamboa-Lugo, Vicente Garibay-Febles, Marco A. Reyes-Guzmán, Álvaro Gordillo-Sol, Jorge A. Mendoza-Pérez

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Fast horizon detection in maritime images using region-of-interest by Chi Yoon Jeong, Hyun S Yang, KyeongDeok Moon

“…However, these methods suffer from high processing times, requiring tens of seconds to complete horizon detection. …”
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High-Precision Chip Detection Using YOLO-Based Methods by Ruofei Liu, Junjiang Zhu

“…This lightweight and efficient approach is particularly effective in detecting small-scale objects within images and accurately analyzing dynamic debris in video sequences, providing a robust solution for automated debris monitoring in machine tool processing applications.…”
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Machine vision-based automatic fruit quality detection and grading by Amna, Muhammad Waqar AKRAM, Guiqiang LI, Muhammad Zuhaib AKRAM, Muhammad FAHEEM, Muhammad Mubashar OMAR, Muhammad Ghulman HASSAN

“…The prototype consisted of defective fruit detection and mechanical sorting systems. Image processing algorithms and deep learning frameworks were used for detection of defective fruit. …”
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Multiclass Evaluation of Vision Transformers for Industrial Welding Defect Detection by Antonio Contreras Ortiz, Ricardo Rioda Santiago, Daniel E. Hernandez, Miguel Lopez-Montiel

“…While welding tasks are frequently automated, inspection processes remain largely manual. Advances in computer vision and AI, especially ViTs, now enable more effective defect detection and classification, offering opportunities to automate these workflows. …”
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Indirect detection constraints on semi-annihilation of inert scalar multiplets by Hugues Beauchesne, Cheng-Wei Chiang

“…The existence of these processes can alleviate certain constraints and substantially modify the indirect detection signal. …”
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Improving Threat Detection in Wazuh Using Machine Learning Techniques by Samir Achraf Chamkar, Mounia Zaydi, Yassine Maleh, Noreddine Gherabi

“…Real-time deployment requirements are rigorously evaluated, with all models maintaining end-to-end processing latencies below 100 milliseconds and 95% of events processed within 500 milliseconds. …”
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