Vibration-Based Damage Detection With Structural Modal Characteristics by Yonggang Wang, Yulong Pei, Yangdon Zhao

“…To address this issue, a novel technique, referred to as damage estimator with modal parameters of structure before and after damage, is applied to detect the location and estimate the severity of existing damage of complex structures. …”
Get full text

An Approach for Detecting Tomato Under a Complicated Environment by Chen-Feng Long, Yu-Juan Yang, Hong-Mei Liu, Feng Su, Yang-Jun Deng

“…The results indicate that the improved Graph-CenterNet method significantly enhances the accuracy and robustness of tomato detection in complex environments.…”
Get full text

Visual detection of screen defects in occlusion and missing scenes by YIN Dongfu, DU Mingchen, HU Tianhao, LI Youming, ZHANG Xiaohong, YU Fei Richard

“…To improve the intelligent level and solve the difficult problem of defect detection in complex scenarios, a visual detection system for screen defects in occluded and missing scenes is constructed based on object detection and matching, as well as image difference technology. …”
Get full text

Research Progress on Rapid Detection of Pyrethroid Pesticide Residues by Xiaoyao WANG, Siyao ZHONG, Xuping SHENTU, Zihong YE, Haizhi HUANG, Xiaoping YU

“…Traditional laboratory detection has been faced with the challenges such as expensive equipment, complex operation, and lengthy procedures. …”
Get full text

Lightweight object detection model for food freezer warehouses by Jiayu Yang, Zhihong Liang, Mingming Qin, Xingyu Tong, Fei Xiong, Hao An

“…The YOLOv8-RSS is designed to meet the complex detection demands in food freezer warehouses, enabling precise and rapid detection of personnel and forklifts. …”
Get full text

Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

“…It is necessary to detect defects in the production process of LCD screens for quality improvements Manual detection brings a heavy workload and low accuracy Therefore, an efficient and accurate automatic detection method is urgently needed To this end, this paper proposes a new defect detection framework, which mainly includes screen area extraction, preprocessing, threshold segmentation and defect selection By adaptive adjustment of parameters, the detection method can adapt to various complex situations In order to eliminate the influence of illumination changes, the defect region is segmented by automatic parameter adjustment in the threshold segmentation First, the maximum grayscale value of the image is calculated, and then the fixed parameters and the coefficient of the defect image are determined according to the nodefect image, and finally the maximum value which was selected as the minimum threshold of the threshold segmentation from the fixed parameters and the product of the maximum grayscale value and the coefficient In addition, in order to solve the problem that the brightness difference of the images captured by lowresolution cameras is too small to detect defects in the saturation condition, selfadaptive adjustment of exposure parameters was used to collect images to process different parts of images with large difference in light and shade Experiments show that the method can achieve high performance and efficiency in detecting defects such as points, lines, Mura, saturation…”
Get full text

Being An Wholistic and Developmental Healthcare Leader: Insights from a grounded theory research study by Shannon Richards-Green, Suzanne Gough, Mickan Sharon

“…In this environment, the healthcare leader’s ability to make sense of their experiences and thrive as a leader, is crucial to the efficient functioning of the healthcare system. Objective: To explore how the healthcare leader understands and makes sense of their leadership experiences and to develop a theoretical model which reflects contemporary leadership in a complex healthcare environment. …”
Get full text

A new method for assessing the marketing efficiency of agricultural marketing channels by Arif Abad, Mohd Abdul Muqeet Maaz, Mohd Salman Shamsi

“…The proposed method has two parts: (1) the ratio of overall channel benefit to cost, excluding consumers, to avoid misleading results, indicating higher benefits for channel members; (2) the ratio of the net price received by farmers to the price paid by consumers, reflecting farmer earnings. By separating marketing margins and costs, the proposed method simplifies previous complexities. …”
Get full text

Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). …”
Get full text

Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases by Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Saravanapriya Kumar, Ayodele Lasisi, Quadri Noorulhasan Naveed, Anjanabhargavi Kulkarni, Abdulrajak Buradi, Addisu Frinjo Emma, Naoufel Kraiem

“…Abstract In our data-driven world, the healthcare sector faces significant challenges in the early detection and management of Non-Communicable Diseases (NCDs). …”
Get full text

Tennis ball detection based on YOLOv5 with tensorrt by Xiulei Zhang, Bin Li

“…First, YOLOv5 is used for target detection to achieve efficient tennis feature extraction. …”
Get full text

Research on Improved YOLOv7 for Traffic Obstacle Detection by Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding

“…However, there is limited research on traffic obstacle detection in complex scenarios involving road construction and sudden accidents. …”
Get full text

Multi-Agents Indexing System (MAIS) for Plagiarism Detection by Samia Zouaoui, Khaled Rezeg

“…Developing such a system that can covers the content of all Arabic documents using ontology as a semantic resource would be a complex and time-consuming task and would require intelligent natural language-processing capabilities.In the context of Arabic plagiarism detection systems using an Arabic ontology and permitting these systems to support semantic representation to more efficiently verify the originality of the research and meet the needs of researchers, this paper presents a novel approach for addressing plagiarism named Multi-agents Indexing System. …”
Get full text

Advances in electrochemical biosensors for the detection of tumor-derived exosomes by Jun Chen, Zhou Zhao, Honglin Zhu, Xiaobing Li

“…Nevertheless, the nanoscale size and relatively low abundance of exosomes, as well as complex body liquid matrix pose daunting challenges for efficient isolation and sensitive detection of T-EXOs. …”
Get full text

Vision transformers for automated detection of pig interactions in groups by Gbadegesin Taiwo, Sunil Vadera, Ali Alameer

“…The model's ability to recognize contextual spatial data enables strong detection even in complex contexts, due to the use of Gaussian Error Linear Unit (GELU) an activation function responsible for introduction of non-linear data to the model and Multi Head Attention feature that ensures all relevant details contained in a data are captured in Vision Transformer. …”
Get full text

GE-YOLO for Weed Detection in Rice Paddy Fields by Zimeng Chen, Baifan Chen, Yi Huang, Zeshun Zhou

“…Weeds are a significant adverse factor affecting rice growth, and their efficient removal necessitates an accurate, efficient, and well-generalizing weed detection method. …”
Get full text

Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…In light of the shortcomings pertaining to UAV small target detection, the detection of complex scenes, and the detection of multi-scale targets, a time-frequency dual-domain feature extraction algorithm, TF-DETR, has been proposed. …”
Get full text

L-ENet: An Ultralightweight SAR Image Detection Network by Yutong Wang, Min Miao, Shiliang Zhu

“…Synthetic aperture radar imagery plays a vital role in maritime vessel detection, despite facing challenges like complex marine environments, low-contrast target recognition, and similarities between ships and sea surface waves. …”
Get full text

UAV Detection Using Template Matching and Centroid Tracking by Muhammad Hanzla, Muhammad Ovais Yusuf, Touseef Sadiq, Naif Al Mudawi, Hameedur Rahman, Abdulwahab Alazeb, Aisha Ahmed AlArfaj, Asaad Algarni

“…Our approach offers robust vehicle detection and tracking over a range of sizes and positions in complicated backgrounds, while also efficiently segmenting the region of interest. …”
Get full text

Research Advances in Underground Bamboo Shoot Detection Methods by Wen Li, Qiong Shao, Fan Guo, Fangyuan Bian, Huimin Yang

“…Underground winter bamboo shoots, prized for their high nutritional value and economic significance, face harvesting challenges owing to inefficient manual methods and the lack of specialized detection technologies. This review systematically evaluates current detection approaches, including manual harvesting, microwave detection, resistivity methods, and biomimetic techniques. …”
Get full text