A Temporal Graph Network Algorithm for Detecting Fraudulent Transactions on Online Payment Platforms by Diego Saldaña-Ulloa, Guillermo De Ita Luna, J. Raymundo Marcial-Romero

“…In addition, the data used in this work correspond to Latin American payment transactions, which is relevant in the context of fraud detection since this region has the highest fraud rate in the world, yet few studies have focused on this issue.…”
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Experiment study on UAV target detection algorithm based on YOLOv8n-ACW by Bo Xue, Bowen Zhang, Qin Cheng

“…Abstract To address the challenges associated with dense and occluded targets in small target detection utilizing unmanned aerial vehicle (UAV), we propose an enhanced detection algorithm referred as the YOLOv8n-ACW. …”
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A quantitative benchmark of neural network feature selection methods for detecting nonlinear signals by Antoine Passemiers, Pietro Folco, Daniele Raimondi, Giovanni Birolo, Yves Moreau, Piero Fariselli

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Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections by Angelos Plastropoulos, Kostas Bardis, George Yazigi, Nicolas P. Avdelidis, Mark Droznika

“…The proposed approach is to process the captured feedback using various deep learning architectures to achieve the highest performance defect detections. Additionally, an algorithm is proposed to estimate the size of the detected defect. …”
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LED array-based multi-angle light scattering for aspirating smoke detection and classification by Soocheol Kim, Hoesung Yang, Kwangsoo Cho, Kyuwon Han, Yusun Ahn, Jin Hwa Ryu, Kangbok Lee

“…In addition to reducing false fire alarms, it is expected to contribute to choosing appropriate fire extinguishers based on fire class and advancing research of complex fire detection.…”
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High-entropy oxide for enhanced supercapacitors and precise electrochemical detection of dopamine at nanomolar levels by Elangovan Sivasurya, Francis Ashamary, Mari Elancheziyan, Jonnagaddala Harathi, M. Monika, Mani Arivazhagan, Narayanamoorthy Bhuvanendran, S. Philomina Mary, Raji Atchudan, Pramod K. Kalambate, Devaraj Manoj

“…The multi-element interaction and carbonization network enhance ion conductivity, boosting specific capacitance to 698.4 F.g⁻¹ , far surpassing conventional metal oxides. In addition, the HEO on screen printed electrode exhibited a notable increase in the oxidation peak current for the oxidation of dopamine, which can detect dopamine at nanomolar levels.…”
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UW-DETR: Feature Fusion Enhanced RT-DETR for Improving Underwater Object Detection by Xingkun Li, Yugang Wang, Yuhao Zhao, Guodong Chen

“…Finally, the dual-branch features are combined by point-wise addition. SSEF is utilized to enhance the multi-scale feature fusion approach of RT-DETR-r18, proposing an underwater object detection framework named Underwater-DETR(UW-DETR). …”
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A Review of Intrusion Detection for Railway Perimeter Using Deep Learning-Based Methods by Jin Wang, Hongyang Zhai, Yang Yang, Niuqi Xu, Hao Li, Di Fu

“…Further, it introduces the development of deep learning in image recognition, focusing on the principles and progress of key technologies such as convolutional neural networks (CNNs) and vision transformers (ViTs). In addition, the application status of semantic segmentation and object detection algorithms based on deep learning in detecting railway perimeter intrusion is explored, including the classification, principles, and performance of the algorithms in practical applications. …”
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MonoDFNet: Monocular 3D Object Detection with Depth Fusion and Adaptive Optimization by Yuhan Gao, Peng Wang, Xiaoyan Li, Mengyu Sun, Ruohai Di, Liangliang Li, Wei Hong

“…However, monocular sensors face challenges from environmental factors like occlusion and truncation, leading to reduced detection accuracy. Additionally, the lack of depth information poses significant challenges for predicting 3D positions. …”
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis by Hafiz Muhammad Raza Ur Rehman, Mahpara Saleem, Muhammad Zeeshan Jhandir, Eduardo Silva Alvarado, Helena Garay, Imran Ashraf

“…A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. …”
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A survey of social cybersecurity: Techniques for attack detection, evaluations, challenges, and future prospects by Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick, Jacques Bou Abdo, Mohammed Aledhari, Junaid Qadir, Kathleen Carley, Ala Al-Fuqaha

“…In this comprehensive review, we delve into various techniques, attacks, challenges, potential solutions, and trends within the realm of detecting social cybersecurity attacks. Additionally, we explore the potential of readily available public datasets and tools that could expedite research in this vital domain. …”
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MXene-Based Flexible Paper Chip for Glucose Detection in Sweat in Low-Temperature Environments by Yandong Yang, Yajun Zhu, Yifei Wu, Fan Chang, Xu Zhu, Xinyue Zhang, Ning Ma, Yushu Wang, Alaa S. Abd-El-Aziz

“…Additionally, enzyme activity significantly decreases at low temperatures. …”
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Rapid Detection of Tetracycline Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy by Jinhui Zhao, Ping Liu, Haichao Yuan, Yijie Peng, Qian Hong, Muhua Liu

“…A rapid detection method based on surface enhanced Raman spectroscopy (SERS) was proposed in this paper in order to realize the detection of tetracycline residues in duck meat. …”
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A Multi-Feature Fusion Approach for Sea Fog Detection Under Complex Background by Shuyuan Yang, Yuzhu Tang, Zeming Zhou, Xiaofeng Zhao, Pinglv Yang, Yangfan Hu, Ran Bo

“…Furthermore, high clouds obscure certain sea fog regions, leading to under-detection and high false alarm rates. In this paper, we present a novel sea fog detection method to alleviate the challenges. …”
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Detection and diagnosis of unknown threats in power equipment using machine learning and Spark technology by Li Di, Cen Chen, Zhuo Lv, Mingyan Li, Nuannuan Li, Hao Chang

“…In addition, Spark technology is employed to achieve data parallelization, enhancing detection and diagnosis efficiency. …”
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Genetic Algorithm-Based Weighted Constraint Target Band Selection for Hyperspectral Target Detection by Wenbin Chen, Xiyang Zhi, Jianming Hu, Lijian Yu, Qichao Han, Wei Zhang

“…It employs a genetic algorithm to consider the combinatorial potential of bands for optimal detection. Additionally, a k-means and weight assignment strategy improves the background estimation for selecting a band subset with better clutter suppression capability. …”
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SHIELD: an evaluation benchmark for face spoofing and forgery detection with multimodal large language models by Yichen Shi, Yuhao Gao, Yingxin Lai, Hongyang Wang, Jun Feng, Lei He, Jun Wan, Changsheng Chen, Zitong Yu, Xiaochun Cao

“…However, their ability to detect subtle visual spoofing and forgery clues in face attack detection tasks remains underexplored. …”
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A Method for Detecting Small Slow Targets on Sea Surface Based on FC-MCNN by Qing Sun, Jing Zhao, Chunling Xue, Xueting Yang

“…Detecting small slow targets on sea surface has always been a hot topic in radar target detection. …”
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RSW-YOLO: A Vehicle Detection Model for Urban UAV Remote Sensing Images by Hao Wang, Jiapeng Shang, Xinbo Wang, Qingqi Zhang, Xiaoli Wang, Jie Li, Yan Wang

“…Vehicle detection in remote sensing images faces significant challenges due to small object sizes, scale variation, and cluttered backgrounds. …”
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Aluminum doped zinc oxide nanoplatelets based sensor with enhanced hydrogen sulfide detection by Brahim Ydir, Amine Ajdour, Iulia Antohe, Gabriel Socol, Marcela Socol, Luiza-Izabela Toderascu, Driss Saadaoui, Imade Choulli, Radouane Leghrib, Houda Lahlou

“…Notably, the 6% AZO samples exhibited an augmented selective sensitivity to H2S, demonstrating stable detection performance. Additionally, the significant improvement in detection capabilities can be attributed to the synergistic effects of electronic and chemical sensitization. …”
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