AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO by Ngoc Giau Pham, Nhien Loc Bui, Quang Hien Tran, Le Thanh Hai Tong, Hong Ngoc Tran

“…A prototype IoT device equipped with the NVIDIA Jetson Nano was developed at Tien Giang University. …”
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Onboard Person Retrieval System With Model Compression: A Case Study on Nvidia Jetson Orin AGX by Jay N. Chaudhari, Hiren Galiyawala, Paawan Sharma, Pancham Shukla, Mehul S. Raval

“…We implement and analyse a PRS for pre-recorded videos on a graphics processing unit (GPU) and Nvidia Jetson Orin AGX. This paper presents a new Person Attribute Recognition (PAR) architecture, CorPAR, using three backbone networks, ConvNext, ResNet-50, and EfficientNet-B0. …”
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A Modular AI-Driven Intrusion Detection System for Network Traffic Monitoring in Industry 4.0, Using Nvidia Morpheus and Generative Adversarial Networks by Beatrice-Nicoleta Chiriac, Florin-Daniel Anton, Anca-Daniela Ioniță, Bogdan-Valentin Vasilică

“…This paper presents an approach for implementing a generic model of a network-based intrusion detection system for Industry 4.0 by integrating the computational advantages of the Nvidia Morpheus open-source AI framework. The solution is modularly built with two pipelines for data analysis. …”
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Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation by Rashid Mehmood, Mariana Lazar, Xiaohui Liang, Juan M. Corchado, Juan M. Corchado, Juan M. Corchado, Simon See

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Energy Efficiency of Kernel and User Space Level VPN Solutions in AIoT Networks by ALEKSANDAR JEVREMOVIC, Zona Kostic, Ivan Chorbev, Dragan Perakovic, Andrii Shalaginov, Ivan Cvitic

“…These systems are evaluated on a range of hardware platforms, including Raspberry Pi 3, Nvidia Jetson NANO, Nvidia Jetson TX2, and Nvidia Jetson AGX Xavier. …”
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FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

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Improved Real-Time Traffic Obstacle Detection and Classification Method Applied in Intelligent and Connected Vehicles in Mixed Traffic Environment by Luyao Du, Xiongjie Chen, Zhonghui Pei, Donghua Zhang, Bo Liu, Wei Chen

“…In addition, the improved YOLOv4-tiny model has a detection speed of 22.5928 fps on NVIDIA TX2, which can basically realize the real-time detection of traffic obstacles.…”
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Тестування роботи точного алгоритму для задачі про суму підмножини на різних персональних комп’ютерах... by Михайло Ленський, Ганна Михальчук

“…Тести продуктивності проводилися на трьох персональних комп'ютерах з різними конфігураціями CPU та GPU: Intel Core i5-8250U з Nvidia GeForce MX150, AMD Ryzen 7 5800H з Nvidia GeForce GTX 1650, та AMD Ryzen 5 7600 з Nvidia GeForce RTX 4070 Ti SUPER. …”
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SQL Injection Detection Based on Lightweight Multi-Head Self-Attention by Rui-Teng Lo, Wen-Jyi Hwang, Tsung-Ming Tai

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Field‐programmable gate array acceleration of the Tersoff potential in LAMMPS by Quan Deng, Qiang Liu

“…Experimental results show that, when tested on the Xilinx Alveo U200, the proposed accelerator achieves a performance of 9.51 ns/day for the Tersoff simulation in a 55,296‐atom system, which is a 2.00× increase in performance when compared to Intel I7‐8700K and 1.70× to NVIDIA Tesla K40c under the same test case. In addition, in terms of computational efficiency and power efficiency, the proposed accelerator achieves improvements of 2.00× and 7.19× compared to Intel I7‐8700K, and 4.33× and 2.11× compared to NVIDIA Titan Xp, respectively.…”
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Accelerating Multiple Compound Comparison Using LINGO-Based Load-Balancing Strategies on Multi-GPUs by Chun-Yuan Lin, Chung-Hung Wang, Che-Lun Hung, Yu-Shiang Lin

“…CUDA-MCC achieved 45 times and 391 times faster than its CPU version on a single NVIDIA Tesla K20m GPU card and a dual-NVIDIA Tesla K20m GPU card, respectively, under the experimental results.…”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…The main objective is to exploit the high-performance capabilities of NVIDIA heterogeneous embedded platforms, which are not automatically compatible with the peculiar features of these algorithms. …”
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Electrochemical Intelligent Recognition of Mineral Materials Based on Superpixel Image Segmentation by Weiping Liu, Fangzhou Jin

“…And using the experiment, the CPU used in the experiment is Intel® Core™ i7-8700 3.2 GHz, the memory is 16 GB, and the GPU is NVIDIA GeForce GT × 1080 Ti, which ensures the accuracy of the experiment. …”
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Efficient and real-time lane detection using CUDA-based implementation by El Boussaki Hoda, Latif Rachid, Saddik Amine

“…We implemented and tested this optimised lane detection algorithm on the NVIDIA Jetson Nano and on a desktop, providing a comparative analysis of improvements in efficiency and speed. …”
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Multi-modal conditional diffusion model using signed distance functions for metal-organic frameworks generation by Junkil Park, Youhan Lee, Jihan Kim

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The Potential for a GPU-Like Overlay Architecture for FPGAs by Jeffrey Kingyens, J. Gregory Steffan

“…Through simulation of a system that (i) is programmable via NVIDIA's high-level Cg language, (ii) supports AMD's CTM r5xx GPU ISA, and (iii) is realizable on an XtremeData XD1000 FPGA-based accelerator system, we demonstrate the potential for such a system to achieve 100% utilization of a deeply pipelined floating-point datapath.…”
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Solving the Caputo Fractional Reaction-Diffusion Equation on GPU by Jie Liu, Chunye Gong, Weimin Bao, Guojian Tang, Yuewen Jiang

“…The optimized GPU solution on NVIDIA Quadro FX 5800 is 2.26 times faster than the optimized parallel CPU solution on multicore Intel Xeon E5540 CPU.…”
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ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…Leveraging the Julia language architecture and NVIDIA GPU capabilities, the package accommodates both interactive parameter exploration and optimization as well as intensive, large-scale data processing across multiple nodes. …”
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Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm by Xiaoyu Zhang, Jiusheng Chen, Quan Gan

“…In this paper, an improved kernel principal component analysis (KPCA) method is proposed to search for signatures of anomalies in flight datasets through the squared prediction error statistics, in which the number of principal components and the confidence for the confidence limit are automatically determined by OpenMP-based K-fold cross-validation algorithm and the parameter in the radial basis function (RBF) is optimized by GPU-based kernel learning method. Performed on Nvidia GeForce GTX 660, the computation of the proposed GPU-based RBF parameter is 112.9 times (average 82.6 times) faster than that of sequential CPU task execution. …”
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Quantum-inspired fluid simulation of two-dimensional turbulence with GPU acceleration by Leonhard Hölscher, Pooja Rao, Lukas Müller, Johannes Klepsch, Andre Luckow, Tobias Stollenwerk, Frank K. Wilhelm

“…This particular tensor structure is also called quantics tensor train (QTT). By utilizing NVIDIA's cuQuantum library to perform parallel tensor computations on GPUs, our adaptation speeds up simulations by up to 12.1 times. …”
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