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Ventrapragada Teju, Kambhampati Venkata Sowmya, Srinivasa Rao Kandula, Anca Stan and Ovidiu Petru Stan
Thermal imaging is a cutting-edge technology which has the capability to detect objects in any environmental conditions, such as smoke, fog, smog, etc. This technology finds its importance mainly during nighttime since it does not require light to detect...
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Alessio Faccia
National Payment Switches (NPSs) and International Payment Switches (IPSs), including major players such as SWIFT, Mastercard, and CHIPS, have become vital to the financial infrastructure, facilitating secure and efficient transactions among local financ...
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Hansol Park, Kookjin Kim, Dongil Shin and Dongkyoo Shin
Recent advances in the Internet and digital technology have brought a wide variety of activities into cyberspace, but they have also brought a surge in cyberattacks, making it more important than ever to detect and prevent cyberattacks. In this study, a ...
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Manjit Kumar Ray, Awdhesh Kumar Mishra, Yugal Kishore Mohanta, Saurov Mahanta, Ishani Chakrabartty, Neelam Amit Kungwani, Satya Kumar Avula, Jibanjyoti Panda and Ramesh Namdeo Pudake
It is crucial to increase agricultural yields to fulfill the rising demand for food and the security it provides for a growing population. To protect human food supplies and agricultural outputs, disease management is essential. Plant infections are a si...
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Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca and Daniele Pannone
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite of ...
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Priyanka Sharma and Rishi Pal Singh
Wireless underground sensor networks (WUSNs) are being used in agricultural applications, in border patrol, and in the monitoring of remote areas. Coverage holes in WUSNs are an issue which needs to be dealt with. Coverage holes may occur due to random d...
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Belle Fille Murorunkwere, Origene Tuyishimire, Dominique Haughton and Joseph Nzabanita
Detecting tax fraud is a top objective for practically all tax agencies in order to maximize revenues and maintain a high level of compliance. Data mining, machine learning, and other approaches such as traditional random auditing have been used in many ...
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Erion-Vasilis Pikoulis, Zafeiria-Marina Ioannou, Mersini Paschou and Evangelos Sakkopoulos
Face morphing poses a serious threat to Automatic Border Control (ABC) and Face Recognition Systems (FRS) in general. The aim of this paper is to present a qualitative assessment of the morphing attack issue, and the challenges it entails, highlighting b...
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Hong Hai Hoang and Bao Long Tran
With the rapid development of cameras and deep learning technologies, computer vision tasks such as object detection, object segmentation and object tracking are being widely applied in many fields of life. For robot grasping tasks, object segmentation a...
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Dmitry A. Ruban
Coastal megaclast deposits are dominated by detrital particles larger than 1 m in size. These attract significant attention of modern researchers because of the needs of sedimentary rock nomenclature development and interpretation of storm and tsunami si...
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