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.…”
Get full text

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.…”
Get full text

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

Get full text

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

Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

Development of alternative models for early detection of religiously legitimated anarchism in Bali Province by Ni Nyoman Lisna Handayani

Get full text

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. …”
Get full text

Automated Detection of Connective Tissue by Tissue Counter Analysis and Classification and Regression Trees by Josef Smolle, Peter Kahofer

Get full text

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. …”
Get full text

Using Mask Technique and Center Detection for Congenital Dislocation of the Hip (CDH) Diagnosis by Nidal AL-Assady, Mafaz Khalil Alanezi, Shahla Ahmad

“…We applied this system in computer using Matlab 7.0 programming Langue.…”
Get full text

EARLY DETECTION IN PREVENTING DRUG CONTROL IN CLASS IIA CIKARANG CORRECTIONAL FACILITY by Muhammad Fadhil Adi Nugroho

Get full text

Artificial Intelligence in Laryngeal Cancer Detection: A Systematic Review and Meta-Analysis by Ali Alabdalhussein, Mohammed Hasan Al-Khafaji, Rusul Al-Busairi, Shahad Al-Dabbagh, Waleed Khan, Fahid Anwar, Taghreed Sami Raheem, Mohammed Elkrim, Raguwinder Bindy Sahota, Manish Mair

“…We conducted data synthesis using the Meta Disc 1.4 program. (3) Results: A meta-analysis revealed that AI demonstrated high sensitivity (78%) and specificity (86%), with a Pooled Diagnostic Odds Ratio of 53.77 (95% CI: 27.38 to 105.62) in detecting laryngeal cancer. …”
Get full text

A Configurable Accelerator for CNN-Based Remote Sensing Object Detection on FPGAs by Yingzhao Shao, Jincheng Shang, Yunsong Li, Yueli Ding, Mingming Zhang, Ke Ren, Yang Liu

Get full text

FOREST FIRE DETECTION BASED ON GOOGLE EARTH ENGINE SEBANGAU NATIONAL PARK by Afifah Kiki Dwi Wulandari, Beni Iskandar, Sari Marlina

Get full text

Object prediction and detection of ground-based weapon with an improved YOLO11 approach by Hanyul Ryu, Mingyu Park, Dae-Yeol Kim

Get full text

Real time wire rope detection method based on Rockchip RK3588 by Mengpeng Qian, Yong Wang, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Ming Chen, Hailong Wu, Zuchao Zhang

“…This paper’s innovation lies not in creating algorithmic components from scratch, but in their synergistic integration and targeted optimization to solve the specific challenges of real-time defect detection on resource-constrained edge devices. To optimize the Neural Network Processing Unit (NPU) for computational performance, a thread pool is implemented with the C++ programming language to partition and accelerate the output processing of the model. …”
Get full text

Application of Modern Technical Means of Chemical Reconnaissance and Control for the Detection and Identification of Explosives by V. A. Inozemcev, I. N. Efimov, A. A. Pozvonkov, А. S. Samorodov, V. N. Ponomarev, S. S. Kolbinev

“…The purpose of this work is to analyze the possibilities of using modern technical means of chemical reconnaissance and control for the detection and identification of explosives. In order to achieve this goal, the authors assessed the analytical characteristics and features of the technical means of chemical reconnaissance and the indication methods implemented in them to determine the possibility of detecting and identifying the components of the EDs. …”
Get full text

Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…An experimental dataset that contains code from Java, Python, and PHP programming languages and 4 different code smells is created by collecting code from open-source repositories on GitHub. …”
Get full text