Results 91 to 100 of about 109,285 (289)

Distributed Memory Implementation of Bron-Kerbosch Algorithm

IEEE Access
This paper proposes a parallel implementation of the Bron-Kerbosch algorithm, which finds all maximal cliques in large, complex graphs using CPU and thread-level parallelism and distributed memory with multiple cores. With the growing size and complexity
Tejas Ravindra Rote, Murugan Krishnammorthy, Ansh Bhatia, Rishu Yadav, S. P. Raja   +4 more
doaj   +1 more source

Gaussian Mixture Model‐Based Data Association Incorporating a Deep Learning Network for Multivehicle Tracking and Detection in Autonomous Driving Systems

Advanced Intelligent Systems, EarlyView.
This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
wiley   +1 more source

Selective Update for Hardware‐Friendly On‐Chip Training in Distributed Analog In‐Memory Computing Systems

Advanced Intelligent Systems, EarlyView.
This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang, Sangjun Hong, Sangwook Kim, Sangbum Kim   +3 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer

Advanced Intelligent Systems, EarlyView.
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang, Ni Fan, Weiping Wang, Jinqiang Wang, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

Symbolic Reservoir Computing within Memristive Crossbar Arrays as a Cellular Automata

Advanced Intelligent Systems, EarlyView.
In quest of a neuro‐symbolic system with both strong intelligent computing capability and better explainability, a memristor crossbar array‐based cellular automata (symbolic model) for reservoir computing (neural network) is proposed and experimentally demonstrated using an algorithm–hardware codesign approach.
Yunpeng Guo, Chenfei Miao, Xinxin Wang, Xue Liu, Cheng Ma, Lidan Wang, Shukai Duan, Wenrui Duan, Huanglong Li   +8 more
wiley   +1 more source

Rapid and Precise Geometric Measurement of Injection‐Molded Axial Fans Using Convolutional Neural Network Regression

Advanced Intelligent Systems, EarlyView.
This study presents a vision‐based artificial intelligence (AI) system that rapidly and accurately measures deformation in injection‐molded axial fan blades. By combining deep learning with explainable AI techniques, the system achieves high prediction accuracy while reducing inspection time by over 90%.
Keuntae Baek, Sanghun Shin, Minhyeok Kim, Jaemin Oh, Yeong Bin Kim, Myong Dok Kim, Hongyun So   +6 more
wiley   +1 more source

RIDE: real-time massive image processing platform on distributed environment

EURASIP Journal on Image and Video Processing, 2018
As the demand for real-time data processing increases, a high-speed processing platform for large-scale stream data becomes necessary. For fast processing large-scale stream data, it is essential to use multiple distributed nodes. So far, there have been
Yoon-Ki Kim, Yongsung Kim, Chang-Sung Jeong   +2 more
doaj   +1 more source

Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing

Advanced Intelligent Systems, EarlyView.
This perspective article considers what computations optical computing can and should enable. Focusing upon free‐space optical computing, it argues that a codesign approach whereby materials, devices, architectures, and algorithms are simultaneously optimized is needed.
Prasad P. Iyer, Gaurang R. Bhatt, Saaketh Desai, Elliot J. Fuller, Corinne M. Teeter, François Léonard, Craig M. Vineyard   +6 more
wiley   +1 more source

Formalizing Real-Time Embedded System into Promela

MATEC Web of Conferences, 2015
We propose an alternative of formalization of the real-time embedded system into Promela model. The proposed formal model supports the essential features of the real-time embedded system, including system resource-constrained handling, task ...
Sukvanich Punwess, Thongtak Arthit, Vatanawood Wiwat   +2 more
doaj   +1 more source