Lightweight network for insulator fault detection based on improved YOLOv5 by Dehua Weng, Zhiliang Zhu, Zhengbing Yan, Moran Wu, Ziang Jiang, Nan Ye

“…To address these issues, we introduce a novel one-stage network that enables real-time detection of insulator faults on mobile devices. We designed a new module that optimises the computational complexity of networks and fused the module with the attention mechanism SimAM to solve the problem of low efficiency in detecting flashover faults. …”
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Improving Gestational Diabetes Detection in Pregnancy through Machine Learning Models by Ghazal Ishaq, Hafiz Gulfam Ahmad Umar, Leezna Saleem, Mariam Fareed, Mavra Aqdas

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Comparative analysis of machine learning models for the detection of fraudulent banking transactions by Pedro María Preciado Martínez, Ricardo Francisco Reier Forradellas, Luis Miguel Garay Gallastegui, Sergio Luis Náñez Alonso

“…This capability would drastically reduce exposure to financial fraud, optimizing transaction security without compromising operational fluidity. In addition, limitations were identified and future approaches discussed, including oversampling techniques and adjusting class weights to improve detection in unbalanced datasets.…”
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Detection of in silico SSR Markers Specific to Uzun and Kırmızı Cultivars in Pistachio by Harun Karcı

“…In the current paper, it was aimed to detect the SSR markers that can be used in the prevention of confusion that may occur in breeding or nurseries, and directly genetically separating Uzun and Kırmızı pistachio cultivars from other commercial cultivars. …”
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Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation by Nithika Vivek, Karthik Ramesh

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Research on Intelligent Detection and Segmentation of Rock Joints Based on Deep Learning by Lei Peng, Haibo Wang, Chun Zhou, Feng Hu, Xiaoyang Tian, Zhu Hongtai

“…Additionally, to tackle the challenge of low detection accuracy in existing image processing methods, particularly for complex tunnel joint surfaces in dark environments, the paper introduces a path aggregation network (PANet) to enhance the fusion capability of feature information in Mask R-CNN, thereby improving the accuracy of the intelligent detection method. …”
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EVALUATION OF NUCLEIC ACID EXTRACTION METHODS FOR PATHOGEN DETECTION USING PCR by D.K. Prokhorenko

“…This work focuses on evaluating nucleic acid extraction methods and optimizing lysis buffer components to enhance nucleic acid yield and minimize the impact of potential inhibitors on target gene amplification to improve the detection of causative pathogens and facilitate their integration into diagnostic practice. …”
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Road Event Detection and Classification Algorithm Using Vibration and Acceleration Data by Abiel Aguilar-González, Alejandro Medina Santiago

“…Road event detection is critical for tasks such as monitoring, anomaly detection, and optimization. …”
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Reliability of Three Disability Scales for Detection of Independence Loss in Parkinson’s Disease by Anders Bjornestad, Ole-Bjorn Tysnes, Jan Petter Larsen, Guido Alves

“…Barthel ADL index had 67% sensitivity and 78% specificity in detecting dependency at its optimal cut-off value. …”
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Multi-view adversarial attack defending method for host intrusion detection by WANG Fei, QIAN Kehan, LYU Mingqi, ZHU Tiantian, CHEN Honglong

“…Host-based intrusion detection (HID) aims to identify attack behaviors through the analysis of host logs. …”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…However, implementing accurate and automated object detection algorithms mitigates these challenges, allowing errors or defects to be detected before processing. …”
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BEHAVE - facilitating behaviour coding from videos with AI-detected animals by Reinoud Elhorst, Martyna Syposz, Katarzyna Wojczulanis-Jakubas

“…In addition, programs that are able to do these AI detections are often not easy to install or require specialised hardware to run. …”
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Application of deep learning for rice leaf disease detection in the Mekong Delta by Duc Luu Ngo, Thi Thuy Diem Le, Thi Phuong Anh Ha

“…However, severe weather conditions and soil degradation have negatively impacted rice growth. Additionally, rice is highly susceptible to various diseases that must be identified and prevented promptly. …”
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Research on Lightweight Small Object Detection Algorithm Based on Context Representation by Li Qiang, Cui Jianghui

“…In addition, the detection performance is superior to other traditional detection models under the condition of low parameter quantities and computational complexity. …”
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Latent Graph Induction Networks and Dependency Graph Networks for Events Detection by Jing Yang, Hu Gao, Depeng Dang

“…The goal of event detection is to identify instances of various event types within text. …”
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Adaptive Noise-Powered Diffusion Model for Efficient and Accurate Object Detection by Xingyu Zou, Kaixu Han, Xinle Zhang, Wenhao Wang, Ning Wu

“…Recent advancements in object detection, particularly with DiffusionDet, have demonstrated impressive performance. …”
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Fermi-level-managed multi-barrier heterojunction diodes for terahertz detection by Iñigo Belio-Apaolaza, James Seddon, Cyril C. Renaud

“…The fermi-level-managed barrier diode (FMBD), an all-semiconductor InGaAs/InP heterobarrier diode originally conceived for direct THz detection, has the potential to overcome these challenges. …”
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Application of deep learning for rice leaf disease detection in the Mekong Delta by Duc Luu Ngo, Thi Thuy Diem Le, Thi Phuong Anh Ha

“…However, severe weather conditions and soil degradation have negatively impacted rice growth. Additionally, rice is highly susceptible to various diseases that must be identified and prevented promptly. …”
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Fetal Biometric Parameters in USG for Early Detection of Fetal Growth Restriction by Himanshy Rai, Shambhavi Soni, Amaresh K. Shukla, Mohita Pandey, Mayank P. Singh, Vishnu K. Gupta

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On the generalisation capabilities of Fisher vector‐based face presentation attack detection by Lázaro J. González‐Soler, Marta Gomez‐Barrero, Christoph Busch

“…To mitigate those security concerns, most face presentation attack detection techniques have reported good detection performance when they are evaluated on known presentation attack instruments (PAIs) and under acquisition conditions. …”
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