Heartbeat Biometrics for Remote Authentication Using Sensor Embedded Computing Devices by Md Saiful Islam

“…The proposed scheme should be feasible for remote authentication using sensor embedded computing devices in many practical applications such as remote healthcare.…”
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NeuroPong: the event-based camera driven embedded neuromorphic system by Charles P Rizzo, Bryson Gullett, Alex M Crumley, Maxwell E Marcum, Mason R Hyman, Carter Earheart-Brown, Julia Steed, Frank Standaert, Catherine D Schuman, James S Plank

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Automating attendance management in human resources: A design science approach using computer vision and facial recognition by Bao-Thien Nguyen-Tat, Minh-Quoc Bui, Vuong M. Ngo

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Energy-based open set domain adaptation with dynamic weighted synergistic mechanism by Zihao Fu, Dong Liu, Shengsheng Wang, Hao Chai

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VLSI Implementation of a Distributed Algorithm for Fault-Tolerant Clock Generation by Gottfried Fuchs, Andreas Steininger

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‎A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems‎ by Alfredo Cuzzocrea, Enzo Mumolo, Islam Belmerabet, Abderraouf Hafsaoui

“…Embedded computing systems are very vulnerable to anomalies that can occur during execution of deployed software. …”
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Efficient Real-Time Object Detection and Classification Using mmWave Radar and Jetson Xavier NX by Mohamed Lamane, Abdessamad Klilou, Mohamed Tabaa

“…This paper associates a mmWave radar with a real-time embedded computing platform and proposes a real-time implementation of deep learning algorithms in order to classify the detected objects. …”
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Developing a Powerful and Resilient Smart Body Sensor Network through Hypercube Interconnection by Ahmad S. Almogren

“…With recent advances in wireless sensor networks and embedded computing technologies, body sensor networks (BSNs) have become practically feasible. …”
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Artificial Intelligence for Wireless Communications: The InSecTT Perspective by Ramiro Samano Robles, Gowhar Javanmardi, Christoph Pilz, Przemyslaw Kwapisiewicz, Mateusz Rzymowski, Lukasz Kulas, Luca Davoli, Laura Belli, Gianluigi Ferrari, Bernd-Ludwig Wenning, Bugra Gonca, R. Venkatesha Prasad, Ashutosh Simha, Markku Kiviranta, Ilkka Moilanen, Sean Robinson, Gennaro Cirillo, Mujdat Soyturk, Yavuz Selim Bostanci, Leander B. Hormann

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A Practical Bearing Failure Detection Method Using a New Efficient Deep Network With the Knowledge Self-Adaptive Evolution by Mengyu Ji, Lijun Chen, Yeming Yao, Xiaoping Wang, Cheng Chang, Yunan Zhou

“…However, it is difficult and expensive to deploy a fault diagnosis neural network with a huge number of parameters to an embedded computing platform with limited hardware resources. …”
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The Ubimus Plugging Framework: Deploying FPGA-Based Prototypes for Ubiquitous Music Hardware Design by Damián Keller, Aman Jagwani, Victor Lazzarini

“…The emergent field of embedded computing presents a challenging scenario for ubiquitous music (ubimus) design. …”
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A Review on Deep Learning for UAV Absolute Visual Localization by Andy Couturier, Moulay A. Akhloufi

“…This surge in adoption can be attributed to the UAV ecosystem’s maturation, which has not only made these devices more accessible and cost effective but has also significantly enhanced their operational capabilities in terms of flight duration and embedded computing power. In conjunction with these developments, the research on Absolute Visual Localization (AVL) has seen a resurgence driven by the introduction of deep learning to the field. …”
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Evaluation of CNN-Based Approaches to Adverse Weather Image Classification for Autonomous Driving Systems by Viktoria Afxentiou, Tanya Vladimirova

“…Additionally, it includes performance testing on a small-scale embedded computing platform to examine real-time applicability. …”
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Sông Sài Gòn: Extreme Plastic Pollution Pathways in Riparian Waterways by Peter Cleveland, Ann Morrison

“…The device, equipped with technologies such as drone flight controller, open-source software, embedded computing, and cellular networking effectively captured GPS position, track, and localized conditions experienced by the plastic bottle tracker on its journey. …”
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Numerical analysis of thermal performance in semi-enclosed electronics: investigating active and passive cooling techniques for SSD-driven single-board devices by Zheng Zhang, Aizat Abas, Jiao Dan, Fakhrozi Che Ani

“…These findings highlight the limitations of forced convection in constrained environments and demonstrate the effectiveness of conduction-driven cooling for SSDs in compact, low-airflow systems, offering valuable insights for future thermal design strategies in embedded computing applications.…”
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How to Win Bosch Future Mobility Challenge: Design and Implementation of the VROOM Autonomous Scaled Vehicle by Theodoros Papafotiou, Emmanouil Tsardoulias, Alexandros Nikolaou, Aikaterini Papagiannitsi, Despoina Christodoulou, Ioannis Gkountras, Andreas L. Symeonidis

“…It integrates a high-performance embedded computing unit and a heterogeneous sensor suite to achieve reliable perception, decision-making, and control. …”
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FilletCam AI: A handheld tool for precise fillet color profiling of Atlantic salmon and rainbow trout by Rakesh Ranjan, Harsh Shroff, Kata Sharrer, Scott Tsukuda, Christopher Good

“…FilletCam comprises an imaging sensor integrated with an embedded computing unit for image acquisition. A graphical user interface (GUI) was developed to streamline data collection, analysis, visualization, compilation, and data sharing with authorized users. …”
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IoT based intelligent pest management system for precision agriculture by Salman Ahmed, Safdar Nawaz Khan Marwat, Ghassen Ben Brahim, Waseem Ullah Khan, Shahid Khan, Ala Al-Fuqaha, Slawomir Koziel

“…The proposed system comprises a physical prototype of a smart insect trap equipped with embedded computing to detect and classify pests. To this aim, a dataset was created featuring images of oriental fruit flies captured under varying illumination conditions in guava orchards. …”
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POSITIONING AND NAVIGATION TECHNIQUES FOR AUTONOMOUS VEHICLES USING QR CODE by Nguyen Thi Thu

“…The microcontroller processes data received from the embedded computer and provides feedback via the Universal Asynchronous Receiver Transmitter (UART) protocol. …”
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Minimizing Model Size of CNN-Based Vehicle Make Recognition for Frontal Vehicle Images by Wiput Puisamlee, Rathachai Chawuthai

“…The goal of this work is to study and create a smaller CNN model that can be used on devices with limited resources, like embedded computers and embedded computer cameras, to figure out what kind of car it is from a front view picture. …”
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