Game-based detection method of broken access control vulnerabilities in Web application by HE Haitao, XU Ke, YANG Shuailin, ZHANG Bing, ZHAO Yuxuan, LI Jiazheng

“…To solve the problem that the access control strategy of the program in the industrial Internet was difficult to extract from the source code, and that the user’s access operation was difficult to trigger all access paths, which led to the difficulty of universal detection of logical vulnerabilities, game theory was applied to the access control logic vulnerability detection for the first time. …”
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MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Hung Pham, Huyen Ha, van Tong, Dung Hoang, Duc Tran, Tuyen Ngoc Le

“…Consequently, various machine-generated text (MGT) detection methods, developed from metric-based and model-based approaches, were proposed and shown to be highly effective. …”
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Accelerated active case detection of visceral leishmaniasis patients in endemic villages of Bangladesh. by Jahanara Khatun, M Mamun Huda, Md Shakhawat Hossain, Wolfgang Presber, Debashis Ghosh, Axel Kroeger, Greg Matlashewski, Dinesh Mondal

“…We recommend that the National VL Program should consider AACD to strengthen its early VL case detection strategy.…”
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Intelligent vulnerability detection system based on graph structured source code slice by Deqing ZOU, Xiang LI, Minhuan HUANG, Xiang SONG, Hao LI, Weiming LI

“…For the intelligent vulnerability detection, the system extracts the graph structured source code slices according to the vulnerability characteristics from the program dependency graph of source code, and then presents the graph structured slice information to carry out vulnerability detection by using the graph neural network model.Slice level vulnerability detection was realized and the vulnerability line was located at the code line level.In order to verify the effectiveness of the system, compared with the static vulnerability detection systems, the vulnerability detection system based on serialized text information, and the vulnerability detection system based on graph structured information, the experimental results show that the proposed system has a high accuracy in the vulnerability detection capability and a good performance in the vulnerability code line prediction.…”
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Circulating-free DNA: A promising tool for early detection of myocardial infarction by Sajjad Rafiei, MD, Amir Modarresi Chahardehi, Vuanghao Lim

“…Liquid biopsies using cfDNA enable dynamic monitoring of disease progression, but methodological variability and low concentrations limit its standalone use. …”
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FPGA implementation of deep learning architecture for ankylosing spondylitis detection from MRI by Sıtkı Kocaoğlu

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Applicability of Artificial Intelligence in Smart Healthcare Systems for Automatic Detection of Parkinson’s Disease by Harikumar Pallathadka, S.J.R.K. Padminivalli V., M. Vasavi, P. Nancy, Mohd Naved, Harish Kumar, Samrat Ray

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Lipidome disruption in Alzheimer’s disease brain: detection, pathological mechanisms, and therapeutic implications by Sijia He, Ziying Xu, Xianlin Han

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Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms by Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada

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Asumu Fractional Derivative Applied to Edge Detection on SARS-COV2 Images by Gustavo Asumu Mboro Nchama, Leandro Daniel Lau Alfonso, Roberto Rodríguez Morales, Ezekiel Nnamere Aneke

“…The experimental comparison show that the proposed method outperforms some edge detection methods. In the next paper, we are planning to improve and combine the proposed filters with artificial intelligence algorithm in order to program a training system for SARS-COV2 image classification with the aim of having a supplemental medical diagnostic.…”
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RESEARCH ON DEVELOPING A MONITORING SYSTEM FOR DROWSINESS DETECTION BASED ON COMPUTER VISION by Dien Thi Hong Ha

“…This article focuses on the research and development of a model for a drowsiness detection and monitoring system while driving based on computer vision. …”
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In Situ Raman Spectroscopy for Early Corrosion Detection in Coated AA2024-T3 by Adrienne K. Delluva, Ronald L. Cook, Matt Peppel, Sami Diaz, Rhia M. Martin, Vinh T. Nguyen, Jeannine E. Elliott, Joshua R. Biller

“…Here we describe the synthesis and evaluation of a molecular corrosion sensor that can be applied in situ in aerospace coatings, then used to detect corrosion after the coating has been applied. …”
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SGPLane: Efficient lane detection via sampled grid points for autonomous driving by Xuewei Tang, Mengmeng Yang, Kun Jiang, Tuopu Wen, Benny Wijaya, Diange Yang

“…Earlier works revolved around semantic segmentation and object detection with a special program for lanes. However, most methods still suffer from unstable post-processing algorithms which leads to a gap between camera input and downstream applications. …”
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Development of alternative models for early detection of religiously legitimated anarchism in Bali Province by Ni Nyoman Lisna Handayani

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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“… In today's rapidly evolving world, where technology is progressing swiftly, there is an increasing demand for facial recognition systems. …”
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Deep Embedded Auto-encoder for End-to-End Unsupervised Image Anomaly Detection by Xuan Huang, Hailin Tang

“…Abstract Image anomaly detection plays a critical role in industrial quality control, medical diagnostics, and security surveillance, yet existing unsupervised methods often suffer from limited detection accuracy and poor adaptability. …”
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SVHAE: Spectral Variability-Aware Hybrid Autoencoder for Hyperspectral Underwater Target Detection by Suresh Aala, Sravan Kumar Sikhakolli, Sunil Chinnadurai, Anuj Deshpande, Karthikeyan Elumalai, Md. Abdul Latif Sarker, Hala Mostafa

“…These advancements contribute to the progressing field of HUTD, making the way for robust solutions in marine exploration and detecting targets under the water.…”
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RGB-to-hyperspectral conversion for accessible melanoma detection: A CNN-based approach by Bsharat Sondos Mahmoud, Abouelnour Sana, Ahmed Ragad, Elkhatib Mariam, Gaber Sama, Shehieb Wessam, Arshad Kamran, Assaleh Khaled

“…Accuracy is significantly increased when spot detection and PCA are combined; Naïve Bayes achieves 76% accuracy in this way. …”
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Automated Detection of Connective Tissue by Tissue Counter Analysis and Classification and Regression Trees by Josef Smolle, Peter Kahofer

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Scintillation light in SBND: simulation, reconstruction, and expected performance of the photon detection system by SBND Collaboration

“…This paper describes the expected performance of the SBND photon detection system, using a simulated sample of beam neutrinos and cosmogenic particles. …”
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