Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data by Jian Liu, Xin Gu, Chao Shang

“…Experimental results show that this method can effectively learn the essential characteristics of the data, and significantly improve the detection rate of fraud detection algorithms.…”
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Detection of Manipulations in Digital Images: A Review of Passive and Active Methods Utilizing Deep Learning by Paweł Duszejko, Tomasz Walczyna, Zbigniew Piotrowski

“…Active methods, which involve embedding additional information into the image, offer precise detection and localization of changes but require complete control over creating and distributing visual materials. …”
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Detection of multidrug resistant Vibrio parahaemolyticus and anti-Vibrio Streptomyces sp. MUM 178J by Ke-Yan Loo, Loh Teng-Hern Tan, Jodi Woan-Fei Law, Priyia Pusparajah, Learn-Han Lee, Vengadesh Letchumanan

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Development of the test kit for detection of SARS-CoV-2 antibodies in sera of susceptible animals by M. A. Volkova, N. G. Zinyakov, P. S. Yaroslavtseva, I. A. Chvala, T. S. Galkina, D. B. Andreychuk

“…Serological methods are effectively used to detect the infection in animals. Currently, methods such as neutralization test, immunofluorescence assay and enzyme-linked immunoassay are used to detect antibodies to coronaviruses. …”
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A Lightweight Laser Chip Defect Detection Algorithm Based on Improved YOLOv7-Tiny by HU Wei, ZHAO Jumin, LI Dengao

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A conceptual approach to material detection based on damping vibration-force signals via robot by Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Jing Xu

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Radio Detection of UHE Cosmic Rays and Neutrinos off the Moon with Two 30 m Telescopes by Linjie Chen, Jianli Zhang, Lihong Geng, Lingmei Cheng

“…Many experiments have been proposed and performed to detect such radio emissions from the lunar regolith. …”
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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

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Direct Detection of Thrombin Binding to 8-Bromodeoxyguanosine-Modified Aptamer: Effects of Modification on Affinity and Kinetics by Shou Goji, Jun Matsui

“…These values, which were obtained by direct observation of thrombin binding using RIfS, have the same order of magnitude as those obtained in our previous study utilizing conformational changes in TBA to detect thrombin binding, thus confirming the validity of the obtained KD values. …”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…Brain tumor detection is crucial in medical research due to high mortality rates and treatment challenges. …”
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Proposed Detection Face Model by MobileNetV2 Using Asian Data Set by Phat Nguyen Huu, Vinh Tran Quang, Chau Nguyen Le Bao, Quang Tran Minh

“…Therefore, we propose a model capable of distinguishing between masked and nonmasked faces using a convolutional neural network (CNN) based on deep learning (DL)—MobileNetV2 in this paper. The model can detect people who are not wearing masks. It has an accuracy of up to 99.37%. …”
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Prevalidation of an ELISA for Detection of a New Clinical Entity: Leishmania donovani-Induced Cutaneous Leishmaniasis by Bhagya Deepachandi, Sudath Weerasinghe, Himali Gunathilake, Thisira P. Andrahennadi, Mahendra N. Wickramanayake, Shantha Siri, Vishvanath Chandrasekharan, Preethi Soysa, Yamuna Siriwardana

“…This procedure described an optimization procedure of an ELISA technique for detection of anti-Leishmania antibodies in patients with L. donovani caused CL.…”
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Multi-cancer early detection tests for general population screening: a systematic literature review by Ros Wade, Sarah Nevitt, Yiwen Liu, Melissa Harden, Claire Khouja, Gary Raine, Rachel Churchill, Sofia Dias

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Joint User Detection and Channel Estimation in Grant-Free Random Access for Massive MIMO Systems by Yang Yang, Guanghua Song, Hui Liu

“…This paper introduces an innovative and advanced approach for the joint detection of users and estimation of channels in grant-free RA. …”
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Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection by Istiak Mahmud, Md. Mohsin Kabir, Jungpil Shin, Chayan Mistry, Yoichi Tomioka, M. F. Mridha

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Applying deep learning model to aerial image for landslide anomaly detection through optimizing process by Chwen-Huan Wang, Li Fang, Chiung-Yun Hu

Subjects: “…Landslide anomaly detection…”
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Acoustic impedance-based surface acoustic wave chip for gas leak detection and respiratory monitoring by Baile Cui, Wen Wang, Lina Cheng, Jing Jin, Anyu Hu, Zixuan Ren, Xufeng Xue, Yong Liang

“…Consequently, the SAW chip based on the acoustic impedance effect provides a new solution for in-situ detection of gas leaks and precise monitoring of human respiration.…”
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A novel arc detection and identification method in pantograph-catenary system based on deep learning by Yue Yan, Hu Liu, Linfeng Gan, Runtong Zhu

Subjects: “…Arc detection…”
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Detection of Mycobacterium avium subsp. paratuberculosis and other mycobacteria in retail milk and dairy products in Argentina by Karina Cirone, C. Morsella, L. Mendez, F. Paolicchi

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MFEMDroid: A Novel Malware Detection Framework Using Combined Multitype Features and Ensemble Modeling by Wei Gu, Hongyan Xing, Tianhao Hou

“…These promising experimental results show that MFEMDroid is an effective approach to detect Android malware.…”
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