Cost Effective Surface Disruption Detection System for Paved and Unpaved Roads by Mumbere Muyisa Forrest, Zhigang Chen, Shahzad Hassan, Ian Osolo Raymond, Karim Alinani

“…A delay in maintenance results in severe road damage that blocks the traffic for several days. Up to now, RSD detection on unpaved roads is done manually or reported by drivers. …”
Get full text

Multi-Scale Hierarchical Feature Fusion for Infrared Small-Target Detection by Yue Wang, Xinhong Wang, Shi Qiu, Xianghui Chen, Zhaoyan Liu, Chuncheng Zhou, Weiyuan Yao, Hongjia Cheng, Yu Zhang, Feihong Wang, Zhan Shu

“…To overcome these challenges, we propose the novel Wide-scale Gated Fully Fusion Network (WGFFNet) in this article, which contributes to infrared small-target detection (IRSTD). WGFFNet uses a classic encoder–decoder structure, where the designed stepped fusion block (SFB) embedded in the feature extraction stage captures finer local context across multiple scales during encoding, and along the decoding path, the multi-level features are progressively integrated by a Fully Gated Interaction (FGI) Module to enhance feature representation. …”
Get full text

Interference Suppression for VLC System Based on Optimized Channel Detection Algorithm by Liwei Yang, Ziyang Jin, Jiangtao Zhao, Yue Zhang, Xinyu Li, Boyu Jia

“…Compared to conventional detection algorithms such as Minimum Mean Square Error (MMSE), Block Diagonalization (BD), and standard THP, the proposed method improves BER performance by up to one order of magnitude and enhances the WSR by 15%–25% in multi-user scenarios. …”
Get full text

Barefoot Footprint Detection Algorithm Based on YOLOv8-StarNet by Yujie Shen, Xuemei Jiang, Yabin Zhao, Wenxin Xie

Get full text

Muscarinic cannabinoid suppression of excitation, a novel form of coincidence detection by Michaela Dvorakova, Ken Mackie, Alex Straiker

“…As such, MCSE represents a novel and targeted form of coincidence detection – important for many modes of learning and memory -- between cannabinoid and muscarinic signaling systems that elicits a medium-duration depression of synaptic signaling. …”
Get full text

Detection of Seed Potato Sprouts Based on Improved YOLOv8 Algorithm by Yufei Li, Qinghe Zhao, Zifang Zhang, Jinlong Liu, Junlong Fang

“…To further reduce the model parameters, Ghost convolution and C3ghost were introduced to replace the normal convolution and C2f blocks in vanilla YOLOv8n. In addition, a bi-directional feature pyramid network is integrated in the neck part for multi-scale feature fusion to enhance the detection accuracy. …”
Get full text

Detection of distress in rural road pavements: an analysis of UAV altitude variations by L. Inzerillo, F. Acuto, A. Pisciotta, K. Mantalovas, G. Di Mino

Get full text

Molecular and pathological detection of jaagsiekte sheep retrovirus in lung tissues of sheep by Nuvit COSKUN, Volkan YILMAZ, Emin KARAKURT, Enver BEYTUT, Hilmi NUHOGLU, Mehmet Ozkan TIMURKAN

“…Since paraffinized tissue blocks were used, sensitivity was not high and only 10/25 tissues were deemed positive. …”
Get full text

Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

“…Balancing detection performance and computational efficiency is critical for sustainable pavement disease detection in energy-constrained scenarios. …”
Get full text

A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

“…To address the above problems, this paper proposes a lightweight YOLOv8n-SOI algorithm for tire defect detection. First, a similarity-based attention mechanism (SimAM) was introduced to the C2f block of the backbone network to improve the ability to extract the shape features of irregular tire defects in complicated backdrops. …”
Get full text

Efficient sepsis detection using deep learning and residual convolutional networks by Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri

“…Although recent technological advancements have aided sepsis detection, challenges remain in timely diagnosis using standard clinical practices. …”
Get full text

Detection of cucumber downy mildew spores based on improved YOLOv5s by Chen Qiao, Kaiyu Li, Xinyi Zhu, Jiaping Jing, Wei Gao, Lingxian Zhang

“…Integration with the Convolutional Block Attention Module (CBAM) further refines detection precision for small objects like mildew spores. …”
Get full text

Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…These feature maps capture both high-level semantic information and low-level spatial details, which are essential for detecting pedestrians in complex scenes. To enhance the feature representation and reduce background noise interference, the Convolutional Block Attention Module (CBAM) is embedded after the feature maps. …”
Get full text

Arcing detection method of metro pantograph based on improved yolov4-tiny by AI Shengyong, DING Jianming, ZHANG Qingsong

“…For the problem of strong light interference and variable background in pantograph arcing detection for metro vehicles, an arcing detection method based on an improved yolov4-tiny model is proposed. …”
Get full text

Clonidine used as a perineural adjuvant to ropivacaine, does not prolong the duration of sensory block when controlling for systemic effects: A paired, blinded, randomized trial in... by Jakob Hessel Andersen, Pia Jaeger, Tobias Laier Sonne, Jørgen Berg Dahl, Ole Mathiesen, Ulrik Grevstad

“…Secondary outcome measures were duration of sensory block assessed by: pinprick, maximum pain during tonic heat stimulation, warmth detection threshold and heat pain detection threshold.…”
Get full text

Utility of a Novel High‐Sensitivity Multiplex Companion Diagnostic Test Using Formalin‐Fixed Paraffin‐Embedded Cell Block Materials of Non‐small Cell Lung Cancer by Yoshiki Shinomiya, Yuko Ishida, Kanako C. Hatanaka, Mamiko Yamamoto, Ayae Nange, Asami Okumura, Yumi Wada, Mitsuharu Abiko, Tomohiro Shimizu, Ryoko Watanabe, Yamato Hashimoto, Yoshiharu Sato, Jun Sakakibara‐Konishi, Tatsuya Kato, Shinya Tanaka, Yutaka Hatanaka

“…Despite the low TC, EGFR mutations were partially detected, with cPANEL achieving a higher detection rate than that of single‐CDx (68.8% vs. 50.0%). …”
Get full text

Introducing a Method for Backflow Detection in Lobe Blowers through Ultrasonic Technique by Ali Monazami, Somaye Mohammadi, Mehdi Behzad

“…Data analysis results show that the ultrasonic technique can detect the presence of backflow. Furthermore, verification of the results is conducted through an experiment that includes blocking the blowers’ outlets and measuring the ampere consumption and the output pressure. …”
Get full text

A Deep Learning Approach of Vehicle Multitarget Detection from Traffic Video by Xun Li, Yao Liu, Zhengfan Zhao, Yue Zhang, Li He

“…The experimental results show that our method achieves the detection rate of 98.6% in free flow state, 97.8% in synchronous flow state, and 96.3% in blocking flow state, respectively. …”
Get full text

Detection of Edwardsiella tardain catfish (Clarias sp.)by fluorescent antibody technique (FAT) by . Firma, Rahman Rizky Amalia, Utami Sari, Chotimah Chusbul, Abdulgani Amri Siregar

“…The fluorescent antibody technique (FAT) can be used to detectEdwardsiellatarda rapidly. As prelimenary step, it have been performed purity test of bacteria by PCR, specificity test of mouse anti-E. tarda monoclonal antibody by blocking using chicken and rabbit serum, and optimization of conjugate secondary antibody mouse IgG-H&L (FITC) dillution rate. …”
Get full text

A Soybean Pod Accuracy Detection and Counting Model Based on Improved YOLOv8 by Xiaofei Jia, Zhenlu Hua, Hongtao Shi, Dan Zhu, Zhongzhi Han, Guangxia Wu, Limiao Deng

“…The number of soybean pods is a key determinant of soybean yield, making accurate detection and counting essential for yield estimation, cultivation management, and variety selection. …”
Get full text