Research and application of vibration loop triggering system for channel wave seismic detection by Hengcong WEN

“…The principle is that during data collection, a detection network composed of vibration loop triggers and channel wave equipment is arranged in the roadway. …”
Get full text

Tensor RT optimized driver drowsiness detection system using edge device by Chandramohan Dhasarathan, Sambasivam Gnanasekaran, Arnab Pattanayak, Gourav Kumar, Kartik Vig, Vaibhav Narain, K.M. Deva Narayan, Sunidhi Garg

“…Utilizing the computing power of the edge device, Jetson Nano and the optimization capabilities of TensorRT, the system achieves rapid inference of input data, enabling rapid decision making based on analyzed input data. …”
Get full text

Infrared small target detection algorithm with U-shaped multiscale transformer network by DUAN Peipei, ZHANG Yan, LUO Mingshi, YAN Xiaoying

“…This accomplishes pixel-level segmentation of infrared small targets, fulfilling the purpose of target detection. Experiments demonstrate in infrared sequence image dim and small aircraft target detection and tracking data set, even when applied to infrared images with complex background and noisy, our method outperforms the state-of-the-art detection methods. …”
Get full text

Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

Get full text

An improved air conditioner label defect detection algorithm based on SURF features by Huizi ZHOU, Yuelin LIU, Qing LIU, Jianwu LI

“…The results show that the algorithm improves the stability and detection accuracy of feature point matching. The accuracy,recall and F1 on the self-built data set are 98.67%,97.69% and 98.18%,respectively,which are better than the mainstream methods. …”
Get full text

Tongue Color Analysis and Diseases Detection Based on a Computer Vision System by Abdulghafor Khudhaer Abdullah, Saleem Lateef Mohammed, Ali Al-Naji, Mohammed Sameer Alsabah

Get full text

Detection Method for Bolts with Mission Pins on Transmission Lines Based on DBSCAN-FPN by Zhenbing ZHAO, Shuai ZHANG, Wei JIANG, Peng WU

“…Experimental results show that the detection accuracy of DBSCAN-FPN reaches up to 76.23% on the self-built data set, with the detection effect better than FPN, R-FCN and Faster R-CNN. …”
Get full text

Computer Vision-Based Obstacle Detection Mobile System for Visually Impaired Individuals by Gisel Katerine Bastidas-Guacho, Mario Alejandro Paguay Alvarado, Patricio Xavier Moreno-Vallejo, Patricio Rene Moreno-Costales, Nayely Samanta Ocaña Yanza, Jhon Carlos Troya Cuestas

“…To determine the best model, the performance of YOLO is evaluated by means of a precision adjustment through the variation of epochs, using a proprietary data set of 7600 diverse images. The YOLO-300 model turned out to be the best, with a mAP of 0.42.…”
Get full text

Pear Fruit Detection Model in Natural Environment Based on Lightweight Transformer Architecture by Zheng Huang, Xiuhua Zhang, Hongsen Wang, Huajie Wei, Yi Zhang, Guihong Zhou

“…Meanwhile, Xinli No. 7 fruit data set with different environmental conditions is established. …”
Get full text

Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…Group testing is an efficient screening method that reduces the number of tests by pooling multiple samples, making it especially effective in low-prevalence settings. This strategy gained significant attention during the COVID-19 pandemic, and has since been applied to detect various infectious diseases, including HIV, chlamydia, gonorrhea, influenza, and Zika virus. …”
Get full text

Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool by Nicolette Miller, Ebenezer Chinedu‐Eneh, Jaeleene Wijangco, Kyra Henderson, Nikki Sisodia, Narender Sara, Jennifer Reihm, Shane Poole, Jim Rowson, Chu‐Yueh Guo, Jeffrey M. Gelfand, Valerie J. Block, Riley Bove

“…Live visualizations during clinical encounters highlighted a range of potential uses: detecting progression by step count, setting motivating and realistic activity goals despite limitations, referring to rehabilitation after activity drops, and measuring effects of interventions on sleep quality. …”
Get full text

Generating and Improving a Dataset of Masked Faces Using Data Augmentation by Waleed Ayad, Siraj Qays, Ali Al-Naji

“…To contribute to addressing the shortage of large-scale data sets that consist of people wearing masks, a developed method has been presented to create simulated masks and overlay them on faces in two main steps. …”
Get full text

YOLOX-LS: Strong Gravitational Lenses Detection in the DECaLS with Deep Learning by Yangyang Liu, Liangping Tu, Jianxi Li, Jiawei Miao, Gengqi Lin, Chenying Zhao

Get full text

Comparison of the Spread of Novel Coronavirus: Topological Data Analysis of 13 Countries by Shaun V. Ault, Jia Lu

“…Topological Data Analysis (TDA) is a recent rising method that provides new topological and geometric tools that can detect non-linear features, such as loops, in multidimensional data. …”
Get full text

Influence of differential source patterns in the detection of signals of disproportionate reporting for PARP inhibitors by Jordi Mestres, Jordi Mestres

“…SDR detection was found to be robust to ICSR data completeness.DiscussionMatched reporting patterns between drugs and events may predispose certain drugs to be disproportionally associated with adverse events. …”
Get full text

Adaptive anomaly detection disruption prediction starting from first discharge on tokamak by X.K. Ai, W. Zheng, M. Zhang, Y.H. Ding, D.L. Chen, Z.Y. Chen, B.H. Guo, C.S. Shen, N.C. Wang, Z.J. Yang, Z.P. Chen, Y. Pan, B. Shen, B.J. Xiao, J-TEXT team

“…Plasma disruption presents a significant challenge in tokamak fusion, especially in large-size devices like ITER, where it causes severe damage. While current data-driven machine learning methods perform well in disruption prediction, they require extensive discharge data for model training. …”
Get full text

Comparison and combination of mutation and methylation-based urine tests for bladder cancer detection by Naheema S. Gordon, Elspeth K. McGuigan, Michaela Ondasova, Jennifer Knight, Laura A. Baxter, Sascha Ott, Robert K. Hastings, Maurice P. Zeegers, Nicholas D. James, K. K. Cheng, Anshita Goel, Minghao Yu, Roland Arnold, Richard T. Bryan, Douglas G. Ward

“…In this study we address this question by taking a 23-gene mutation panel (GALEAS™ Bladder, GB) and testing if adding a panel of methylation markers improves the sensitivity of BC detection. Methods Twenty-three methylation markers were assessed in urine DNA by bisulphite conversion, multiplex PCR, and next generation sequencing in 118 randomly selected haematuria patients with pre-existing GB data (56 BCs and 62 non-BCs), split into training and test sets. …”
Get full text

Robust modified passive islanding detection for microgrids using mathematical morphology based dual algorithm by Fayez F. M. El-Sousy, Nauman Ali Larik, Wei Lue, Sulaiman Z. Almutairi, Mohammed H. Alqahtani, Saleh Mobayen

Get full text

Comparative analysis of automated foul detection in football using deep learning architectures by Abdallah Rabee, Zakaria Anwar, Ahmed AbdelMoety, Ahmed Abdelsallam, Mahmoud Ali

“…This comparative evaluation serves as a foundation for future research aimed at enhancing real-time foul detection through multimodal data fusion, temporal modeling, and improved domain adaptation techniques.…”
Get full text

Detection of Coffee Leaf Miner Using RGB Aerial Imagery and Machine Learning by Emerson Ferreira Vilela, Cileimar Aparecida da Silva, Jéssica Mayara Coffler Botti, Elem Fialho Martins, Charles Cardoso Santana, Diego Bedin Marin, Agnaldo Roberto de Jesus Freitas, Carolina Jaramillo-Giraldo, Iza Paula de Carvalho Lopes, Lucas de Paula Corrêdo, Daniel Marçal de Queiroz, Giuseppe Rossi, Gianluca Bambi, Leonardo Conti, Madelaine Venzon

“…The combined use of vegetation indices and crop data increased the accuracy of coffee leaf miner detection. …”
Get full text