Image-based maturity detection for selective cauliflower harvesting in field condition by Ajay Kushwah, P.K. Sharma, H.L. Kushwaha, Brij Bihari Sharma, Naseeb Singh, Ramineni Harsha Nag, Manojit Chowdhury, Nrusingh Charan Pradhan, Gopal Carpenter, Silpa Mandal, Ali Salem

“…Three algorithms—the color difference method, the color component ratio method, and the chromatic aberration method—were developed to accurately segment cauliflower. …”
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Efficient Deep Learning-Based Detection Scheme for MIMO Communication Systems by Roilhi F. Ibarra-Hernández, Francisco R. Castillo-Soria, Carlos A. Gutiérrez, José Alberto Del-Puerto-Flores, Jesus Acosta-Elias, Viktor I. Rodriguez-Abdala, Leonardo Palacios-Luengas

“…A flexible design can offer a convenient tradeoff between detection complexity and bit error rate (BER). Deep learning (DL) has emerged as an efficient method for solving optimization problems in different areas. …”
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Production of monoclonal antibody and development of an icELISA for the detection of paxilline in grain by Jiaxin Wang, Wenhua Shang, Shibei Shao, Jialin Zhang, Qiuyang Wu, Min He, Licai Ma, Jianzhong Shen, Zhanhui Wang, Kai Wen

“…The limit of detection (LOD) of the established icELISA method for PAX was 0.03–0.3 µg L−1. …”
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Electrochemiluminescence ratio sensor for detecting MCP-1 based on s-PdNS by Weiran Mao, Xiaoyan Zhang, Yuanyuan Yin, Xiaohua Tang, Qingqing Jiang, Xia Chen, Xiaoliang Chen

“…This setup allowed us to obtain two signals from one measurement and use the ratio to construct a standard curve, significantly reducing the possibility of misjudgment. Under optimal conditions, the linear detection range for MCP-1 is 10–2.5 pg mL−1 to 103 pg mL−1, with a detection limit of 1.6 fg mL−1 (S / N = 3). …”
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Hyperspectral Imaging for Detecting Plastic Debris on Shoreline Sands to Support Recycling by Roberta Palmieri, Riccardo Gasbarrone, Giuseppe Bonifazi, Giorgia Piccinini, Silvia Serranti

“…This research highlights the potential of the NIR-HSI approach as a reliable, non-invasive method for plastic debris monitoring and polymer classification. …”
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A survey on fault detection for networked systems under communication constraints by Weilu Chen, Jun Hu, Zhihui Wu, Siteng Ma

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Overheating Defect Detection of Composite Insulator Based on Mask R-CNN by Yi GAO, Lianfang TIAN, Qiliang DU

“…Aiming at the problems of large workload and low intelligence of the current infrared image-based overheating defect detection techniques for composite insulators, and the poor accuracy and poor generalization performance of the traditional image segmentation methods in complex backgrounds, an overheating defect detection method is proposed for composite insulators based on instance segmentation network Mask R-CNN. …”
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PCB defect detection based on pseudo-inverse transformation and YOLOv5. by Xiaoli Wang, Siti Sarah Maidin, Malathy Batumalay

“…Secondly, Transformer is introduced to improve YOLOv5, and the batch normalization and network loss function are optimized. These methods improve the speed and accuracy of PCB defect detection. …”
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A Selective Harmonic Current Detection Algorithm Based on Quadrature Theory by LI Yu, LANG Fengjie, MA Zhe, WANG Xutao

“…Aiming at the harmonics current detection methods of power grid, a simple effective harmonics current detection algorithm was introduced based on quadrature theory,and its realization and optimization methods were given. …”
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Ulnar variance detection from radiographic images using deep learning by Sahar Nooh, Abdelrahim Koura, Mohammed Kayed

“…In this paper, a deep learning-based methodology is used to automatically detect ulnar variance from radiographic images. Advanced Convolutional Neural Networks are exploited instead of traditional manual methods. …”
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An Adapter and Segmentation Network-Based Approach for Automated Atmospheric Front Detection by Xinya Ding, Xuan Peng, Yanguang Xue, Liang Zhang, Tianying Wang, Yunpeng Zhang

“…This study presents AD-MRCNN, an advanced deep learning framework for automated atmospheric front detection that addresses two critical limitations in existing methods. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…Therefore, developing a more effective method to address pedestrian occlusion detection is essential for enhancing the performance of pedestrian detectors.MethodsProposed the Global Feature Focusing and Information Enhancement Network (GFFIE-Net). …”
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Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance by Fauzi Adi Rafrastara, Wildanil Ghozi, Ramadhan Rakhmat Sani, Lekso Budi Handoko, Abdussalam Abdussalam, Elkaf Rahmawan Pramudya, Faizal M. Abdollah

“…Recent studies have shown that this challenge can be addressed by employing machine learning algorithms for detection. Some studies have also implemented various feature selection methods to optimize detection efficiency. …”
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A novel PCR assay and sampling techniques for the detection of Raillietiella orientalis by Jenna N. Palmisano, Corinna M. Hazelrig, Jack A. Gazil, Jennifer K. Hanco, Terence M. Farrell, James E. Bogan, Nicole M. Nemeth, Nicole M. Nemeth, Anna E. Savage

“…However, no molecular assays specific for R. orientalis or optimized fecal flotation methods for pentastome egg detection are available. …”
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No-Reference Error Detection in Color Difference Datasets: Application to Munsell Data by Valerii Timofeev, Galim Usaev, Mikhail Seliugin, Dmitry Bocharov, Anastasia Sarycheva, Ivan Konovalenko, Olga Basova, Mikhail Tchobanou, Valentina Bozhkova, Dmitry Nikolaev

“…However, substantial errors in the third version, the “Re-renotation”, compromise its reliability for optimizing color models. In this study, we identify and correct typographical errors in the “Re-renotation” dataset and introduce two semi-automatic methods for error detection. …”
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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

“…Quantitative and qualitative results demonstrate that our WGFFNet outperforms representative methods when considering various evaluation metrics together, achieving an improved detection performance and computational efficiency for detecting small targets in infrared images.…”
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High Energy X-Ray Detection by MicroPattern Gaseous Detector by Saeedeh Khezripour, Mohammad Reza Rezai Rayeni

“…Materials and Methods: Methods of using Micromegas are different in terms of energy and intensity of high-energy X-ray. …”
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Fast outlier detection for high-dimensional data of wireless sensor networks by Yan Qiao, Xinhong Cui, Peng Jin, Wu Zhang

“…Then, an online testing method is proposed to perform online outlier detection without supervision. …”
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Evaluating the Synergy of Conflict Detection and Resolution Services for Constrained Urban Airspace by Calin Andrei Badea, Andrija Vidosavljevic, Joost Ellerbroek, Jacco Hoekstra

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LMD_YOLO: A Lightweight and Efficient Model for Pavement Defects Detection by Shuai He, Ye Yuan, Bingyang Yin

“…The model incorporates several innovations: the Diverse Branch Block enhances the detection head, improving accuracy; the mg_conv module replaces conventional convolution layers in the neck network, optimizing feature fusion without increasing computational cost; and improvements to the backbone network further enhance efficiency. …”
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