Fault Detection System of Photovoltaic Based on Artificial Neural Network by Ali Salman Zamzeer, Mansour S. Farhan, Haider TH. ALRikabi

“…Due to the severity of the defects, fault detection and diagnosis (FDD) in the PV system have become difficult. …”
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Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams by Amirhossein Abbasi, Mohsen Khatibinia, Hashem Jahangir, José Viriato Araújo Dos Santos, Hernani Miguel Reis Lopes

“…And therefore, it can be considered the best wavelet for detecting artificial damage in the tested aluminum beams.…”
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Capacity Constraint Analysis Using Object Detection for Smart Manufacturing by Hafiz Mughees Ahmad, Afshin Rahimi, Khizer Hayat

“…The increasing adoption of Deep Learning (DL)-based Object Detection (OD) models in smart manufacturing has opened up new avenues for optimizing production processes. …”
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Few-shot learning for novel object detection in autonomous driving by Yifan Zhuang, Pei Liu, Hao Yang, Kai Zhang, Yinhai Wang, Ziyuan Pu

“…Additionally, we design a one-stage object detector for efficient object detection in autonomous driving scenarios. …”
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Detection and characteristic analysis of the crustal basement interface in Guangxi, China by Zhongxu Lu, Fuqiang Yang, Yang Yang, Haizhi Liao, Yajun Mo

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Improved MViTv2-T model for insulator defect detection by Fuhong Meng, Guowu Yuan, Hao Zhou, Hao Wu, Yi Ma

“…This paper presents an insulator defect detection model based on the improved MViTv2-T (Multiscale Vision Transformers Version 2 Tiny). …”
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TEST DETERMINATION OF PROBABILITY OF AIRBORNE DETECTION OF GROUND SURFACE OBJECTS by S. V. Nikolaev

“…In addition, finding values of the visual detection probability of ground objects in full-scale experiments is unrealizable due to the huge amount of required expenses. …”
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Image analysis optimization for nanowire-based optical detection of molecules by Davtyan Rubina, Anttu Nicklas, Valderas-Gutiérrez Julia, Höök Fredrik, Linke Heiner

“…Additionally, we introduce a systematic analysis pipeline aimed at harnessing this digital detection capability and evaluate its impact on detection sensitivity. …”
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Meta-Learning With Relation Embedding for Few-Shot Deepfake Detection by Xiaoyong Liu, Pengcheng Song, Pei Lu, Yanjun Wang

“…To tackle these issues, we introduce a few-shot deepfake detection approach based on meta-learning with relation embedding. …”
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Fake News Detection With Credibility Scoring on Turkish Twitter Data by Ozlem Aydin Fidan, Emir Ozturk, Husein Kantarci

“…Preventing these problems before they happen is very important today. Automatically detecting data referred to as fake news can help prevent such situations. …”
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Broiler Behavior Detection and Tracking Method Based on Lightweight Transformer by Haixia Qi, Zihong Chen, Guangsheng Liang, Riyao Chen, Jinzhuo Jiang, Xiwen Luo

“…The FasterNet network based on partial convolution (PConv) was used to replace the Resnet18 backbone network to reduce the computational complexity of the model and to improve the speed of model detection. In addition, we propose a new cross-scale feature fusion network to optimize the neck network of the original model. …”
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A Comparative Study on Detection and Recognition of Nonuniform License Plates by Mehak Arshid, Muhammad Raees Azam, Zahid Mahmood

“…For license plate recognition task, the DNN-based method yielded a recognition accuracy of 98.90%, while the CA-CenterNet-based method delivered a high accuracy of 98.96%. In addition, a detailed computational complexity comparison on various image resolutions revealed that E2E and the CA-CenterNet are more efficient than their counterparts during detection and recognition tasks, respectively.…”
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Unsupervised selective labeling for semi-supervised industrial defect detection by Jian Ge, Qin Qin, Shaojing Song, Jinhua Jiang, Zhiwei Shen

“…In industrial detection scenarios, achieving high accuracy typically relies on extensive labeled datasets, which are costly and time-consuming. …”
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Innovative Microfluidic Technologies for Rapid Heavy Metal Ion Detection by Muhammad Furqan Rauf, Zhenda Lin, Muhammad Kamran Rauf, Jin-Ming Lin

“…Heavy metal ion (HMI) contamination poses significant threats to public health and environmental safety, necessitating advanced detection technologies that are rapid, sensitive, and field-deployable. …”
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Underwater Object Detection Algorithm Based on an Improved YOLOv8 by Fubin Zhang, Weiye Cao, Jian Gao, Shubing Liu, Chenyang Li, Kun Song, Hongwei Wang

“…Due to the complexity and diversity of underwater environments, traditional object detection algorithms face challenges in maintaining robustness and detection accuracy when applied underwater. …”
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A Review On Microwave Imaging Systems for Breast Cancer Detection by Alexandre de Jesus Aragao, Dionisio Carvalho, Bruno Sanches, Wilhelmus A. M. van Noije

“…Providing a safe and accurate imaging technique for early detection is one of the mains focuses on different research groups. …”
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Weed detection in cabbage fields using RGB and NIR images by Adam Hruška, Pavel Hamouz, Jakub Lev, Josef Pavlíček, Milan Kroulík, Kateřina Hamouzová, Pavlína Košnarová, Josef Holec, Pavel Kouřím

“…This article evaluates the effectiveness of integrating near-infrared (NIR) data with RGB imaging in enhancing weed detection and classification in real-time field settings using the YOLO deep learning model family. …”
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Lightweight insulator target detection algorithm based on improved YOLOX by Bing Zeng, Wei Hua, Dezhi Li, Zhihao Zhou, Hao Wan, Yunmin Xie, Tangbing Li, Yucong Chen, Jianglei Li, Shenli Wang, Shixun Fu, Zihan Jin, Wenhua Zhang

“…Additionally, Coordinate Attention (CA) is integrated into the detection head to improve the precision of small target detection. …”
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Bottlenecks and recent advancements in detecting Mycobacterium tuberculosis in patients with HIV by Zixun Lin, Liqin Sun, Cheng Wang, Fuxiang Wang, Jun Wang, Qian Li, Hongzhou Lu

“…In addition, while immunological‐based methods involving tuberculin skin testing and interferon gamma release assays are commonly used for auxiliary TB diagnosis, they are often inaccurate in immunodeficient patients. …”
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Detection of Sarcocystis parasites in environmental samples from Lithuanian farms by Agnė Baranauskaitė, Petras Prakas, Modestas Petrauskas, Selene Rubiola, Elena Servienė, Živilė Strazdaitė-Žielienė

“…Notably, at least six of seven target species (S. arieticanis, S. bertrami, S. bovifelis, S. capracanis, S. cruzi, S. miescheriana, S. tenella) were detected at least once on eight of 10 farms. Additionally, two zoonotic Sarcocystis species, S. hominis and S. suihominis, were identified in environmental samples. …”
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