Results 81 to 90 of about 24,187 (260)

A Dynamic Hash Table for the GPU

2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2018
We design and implement a fully concurrent dynamic hash table for GPUs with comparable performance to the state of the art static hash tables. We propose a warp-cooperative work sharing strategy that reduces branch divergence and provides an efficient alternative to the traditional way of per-thread (or per-warp) work assignment and processing.
Saman Ashkiani, Martin Farach-Colton, John D. Owens   +2 more
openaire   +3 more sources

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Parallel Heuristic Community Detection Method Based on Node Similarity

IEEE Access, 2019
Community structure discovery can help us better understand the capabilities and functions of the network. However, many existing methods have failed to identify nodes in communities accurately.
Qiang Zhou, Shi-Min Cai, Yi-Cheng Zhang
doaj   +1 more source

VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou, Jingfeng Li, Hao Li, Xiaolei Hou, Jinwen Hu, Jingkun Chen, Lechao Cheng, Dingwen Zhang   +7 more
wiley   +1 more source

Exploration and Exploitation: A Study on Sample Efficiency in Reinforcement Learning With Multifaceted Curiosity Rewards and Adaptive Experience Replay Utilisation in Sparse Reward Environments

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang, Guipeng Xi, Meixiu Lin, Haohui Zhang, Bo Li, Evgeny Neretin   +5 more
wiley   +1 more source

Longest-First Search Using Bloom Filter: Algorithm and FPGA Implementation

IEEE Access
Due to the surge in Internet traffic and the rapid increase in forwarding table entries, achieving wire-speed packet forwarding in Internet routers demands both algorithmic enhancements and hardware innovations.
Jinsol Lee, Hyesook Lim
doaj   +1 more source

Addressing Long‐Tailed Drug–Drug Interactions Through Minimisation of Predictive Uncertainty and Loss Sharpness

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Drug–Drug Interaction (DDI) prediction is critical for ensuring patient safety, particularly under long‐tailed distributions, where frequent (head) interactions dominate whereas rare (tail) interactions remain underrepresented. Conventional loss functions such as cross‐entropy often tend to overfit head classes while they underperform on rare ...
Chao Liu, Xizhao Wang, Farhad Pourpanah, Sam Kwong   +3 more
wiley   +1 more source

A Parallel Compact Hash Table

, 2012
We present the first parallel compact hash table algorithm. It delivers high performance and scalability due to its dynamic region-based locking scheme with only a fraction of the memory requirements of a regular hash table.
van der Vegt, Steven, Laarman, Alfons
openaire   +2 more sources

Multi-stage hashing network storage structure for intelligent routing

Dianxin kexue, 2020
Network data collection and storage are fundamental for intelligent routing control,providing massive flow data for model training and decision-making.However,as the key device in network storage system,switches have very limited memory size and design ...
Feng ZHU, Qun HUANG
doaj   +2 more sources

The effect of nearby listings on house sale prices in Sydney: A spatio‐temporal regularization approach

Real Estate Economics, EarlyView.
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley   +1 more source