Automatic Acne Detection Model Based on Improved YOLOv7 by Delong Zhang, Chunyang Jin, Zhidong Zhang, Xiyuan Cao, Chenyang Xue

“…The mAP is 4.57% higher than the initial model and better than the general object detection model. This model holds promise for effectively managing patient health status and providing valuable assistance to physicians in the diagnostic process.…”
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Detection-Oriented Evaluation of SAR Dexterous Barrage Jamming Effectiveness by Hai Zhu, Sinong Quan, Shiqi Xing, Haoyu Zhang, Yun Ren

“…Starting from the detection, it divides the evaluation process into two stages: (1) for the case in which the target can be detected under the jamming scenario, two feature parameters, namely, the target exposion area and target relative magnitude, are extracted; (2) for the case in which the target cannot be detected under the jamming scenario, another three feature parameters, namely, jamming relative magnitude, average edge brightness, and local information entropy, are extracted. …”
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Terahertz Metasurfaces for Polarization Manipulation and Detection: Principles and Emerging Applications by Yongliang Liu, Yifei Xu, Bo Yu, Wenwei Liu, Zhengren Zhang, Hua Cheng, Shuqi Chen

“…Abstract Terahertz frequencies locating between microwave and infrared regions can record and process optical information for next‐generation information technology such as 6G communication. …”
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Radar Detection Simulation by Digital Twins of Target and Antenna System by A. S. Grigoriev, A. A. Kazantsev, A. M. Terentyev, B. S. Stavtsev

“…Development of an algorithmic support for simulating the radar detection process using digital twins of the antenna system and the observation object.Materials and methods. …”
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Underground helmet detection algorithm based on improved YOLOv8s by Jiaru YANG, Yinan QIN, Tianxu LI, Han ZHUANG

“…In the process of coal mine underground operation, the safety helmet is the most direct and effective protective measure, and it is an important measure to ensure the safety of miners. …”
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Target Detection and Characterization of Multi-Platform Remote Sensing Data by Koushikey Chhapariya, Emmett Ientilucci, Krishna Mohan Buddhiraju, Anil Kumar

“…Conventionally, target detection in remote sensing has relied on statistical methods that typically assume a linear process for image formation. …”
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QEDetr: DETR with Query Enhancement for Fine-Grained Object Detection by Chenguang Dong, Shan Jiang, Haijiang Sun, Jiang Li, Zhenglei Yu, Jiasong Wang, Jiacheng Wang

“…Fine-grained object detection aims to accurately localize the object bounding box while identifying the specific model of the object, which is more challenging than conventional remote sensing object detection. …”
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An Interpretable Siamese Attention Res-CNN for Fingerprint Spoofing Detection by Chengsheng Yuan, Zhenyu Xu, Xinting Li, Zhili Zhou, Junhao Huang, Ping Guo

“…Consequently, a fingerprint presentation attack detection (PAD) strategy is proposed to ensure the security of these systems. …”
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Transfer Learning-Based Anomaly Detection System for Autonomous Vehicle by Md. Humayun Kabir, Mohammad Nadib Hasan, Ahmad, Hassan Jaki

“…A system that combines the control of a physical process with computing technology and communication networks is called a cyber–physical system (CPS). …”
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Real Time Person Detection and Distance Estimation Using Stereovision by Rachidi Oumayma, Bououlid Idrissi Badr, Ed-Dahmani Chafik

“…Pedestrian detection constitutes a fundamental component of Advanced Driver Assistance Systems (ADAS). playing a pivotal role in ensuring road safety and reducing the risk of accidents. …”
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Detection of Movement and Lead-Popping Artifacts in Polysomnography EEG Data by Nishanth Anandanadarajah, Amlan Talukder, Deryck Yeung, Yuanyuan Li, David M. Umbach, Zheng Fan, Leping Li

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Reusable Biosensor for Easy RNA Detection from Unfiltered Saliva by Paweł Wityk, Agata Terebieniec, Robert Nowak, Jacek Łubiński, Martyna Mroczyńska-Szeląg, Tomasz Wityk, Dorota Kostrzewa-Nowak

“…Biosensors are transforming point-of-care diagnostics by simplifying the detection process and enabling rapid, accurate testing. …”
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RADAR: Reasoning AI-Generated Image Detection for Semantic Fakes by Haochen Wang, Xuhui Liu, Ziqian Lu, Cilin Yan, Xiaolong Jiang, Runqi Wang, Efstratios Gavves

“…Specifically, RADAR contains a specialized multimodal LLM to process given images and detect semantic fakes. To improve the generalization ability, we further incorporate ChatGPT as an assistor to detect unrealistic components in grounded text descriptions. …”
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Optimizing credit card fraud detection with random forests and SMOTE by P. Sundaravadivel, R. Augustian Isaac, D. Elangovan, D. KrishnaRaj, V. V. Lokesh Rahul, R. Raja

“…Subsequently, various techniques are employed to pre-process the unprocessed data and visually present the outcomes through the use of exploratory data analysis (EDA). …”
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The Use of Biomass-Derived Chitosan for Colorimetric pH Detection by Ezekiel Edward Nettey-Oppong, Riaz Muhammad, Dohyun Yoo, Sun-Hyeop Hwang, Ahmed Ali, Chacha Saidi Mwita, Hyun-Woo Jeong, Seong-Wan Kim, Young-Seek Seok, Seung Ho Choi

“…The eco-friendly production process and the biocompatibility of this sensor provide a sustainable alternative to conventional pH measurement technologies. …”
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Tampered text detection via RGB and frequency relationship modeling by Yuxin WANG, Boqiang ZHANG, Hongtao XIE, Yongdong ZHANG

“…In recent years, the widespread dissemination of tampered text images on the Internet constitutes an important threat to the security of text images.However, the corresponding tampered text detection (TTD) methods have not been sufficiently explored.The TTD task aims to locate all text regions in an image while judging whether the text regions have been tampered with according to the authenticity of the texture.Thus, different from the general text detection task, TTD task further needs to perceive the fine-grained information for real-world and tampered text classification.TTD task has two main challenges.One the one hand, due to the high similarity in texture between real-world texts and tampered texts, TTD methods that only learn from RGB domain features have limited capability to distinguish these two-category texts well.On the other hand, as the different detecting difficulty exists in real-world texts and tampered texts, the network cannot well balance the learning process of the two-category texts, resulting in the imbalance detection performance between real-world and tampered texts.Compared with RGB domain features, the discontinuity of text texture in frequency domain can help the network to identify the authenticity of text instances.Accordingly, a new TTD method based on RGB and frequency information relationship modeling was proposed.The features in the RGB and frequency domains were extracted by independent feature extractors respectively.Thus, the identification ability of tampered texture can be enhanced by introducing frequency information during the texture perception.Then, a global RGB-frequency relationship module (GRM) was introduced to model the texture authenticity relationship between different text instances.GRM referred to the RGB-frequency features of other text instances in the same image to assist in judging the authenticity of the current text instance, which solved the problem of imbalanced detection performance.Furthermore, a new TTD dataset (Tampered-SROIE) was proposed to evaluate the effectiveness of proposed method, which contains 986 images (626 training images and 360 test images).By evaluating on the Tampered-SROIE, the proposed method obtains 95.97% and 96.80% in F-measure for real-world and tampered texts respectively and reduces the imbalanced detection accuracy by 1.13%.The proposed method will give new insights to the TTD community from the perspective of network structure and detection strategy.Tampered-SROIE also provides an evaluation benchmark for future TTD methods.…”
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Structural detection of goaf based on three-dimensional ERT technology by Nan Jia

“…Goaf, as an underground space formed after mining, the accurate detection of its structure is crucial to mine safety and the stability of underground engineering. …”
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Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm by Shaotong Pei, Weiqi Wang, Peng Wu, Chenlong Hu, Haichao Sun, Keyu Li, Mianxiao Wu, Bo Lan

“…Moreover, considering the real-time requirements for insulator hydrophobicity detection in practical operations, the model must be lightweight to speed up the detection process. …”
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A lightweight mechanism for vision-transformer-based object detection by Yanming Ye, Qiang Sun, Kailong Cheng, Xingfa Shen, Dongjing Wang

“…Abstract DETR (DEtection TRansformer) is a CV model for object detection that replaces traditional complex methods with a Transformer architecture, and has achieved significant improvement over previous methods, particularly in handling small and medium-sized objects. …”
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Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

“…We present an advanced method for deepfake voice detection, leveraging a custom model named MFCC-GNB XtractNet. …”
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