Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Efficient hardware architectures for accelerating deep neural networks: Survey
In the modern-day era of technology, a paradigm shift has been witnessed in the areas
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
A review of deep learning models for time series prediction
Z Han, J Zhao, H Leung, KF Ma… - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
In order to approximate the underlying process of temporal data, time series prediction has
been a hot research topic for decades. Develo** predictive models plays an important role …
been a hot research topic for decades. Develo** predictive models plays an important role …
FPGA-based accelerators of deep learning networks for learning and classification: A review
Due to recent advances in digital technologies, and availability of credible data, an area of
artificial intelligence, deep learning, has emerged and has demonstrated its ability and …
artificial intelligence, deep learning, has emerged and has demonstrated its ability and …
A hybrid deep learning model for efficient intrusion detection in big data environment
The volume of network and Internet traffic is expanding daily, with data being created at the
zettabyte to petabyte scale at an exceptionally high rate. These can be characterized as big …
zettabyte to petabyte scale at an exceptionally high rate. These can be characterized as big …
Fast inference of deep neural networks in FPGAs for particle physics
Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics
capabilities through the improvement of the real-time event processing techniques. Machine …
capabilities through the improvement of the real-time event processing techniques. Machine …
FINN-R An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
Convolutional Neural Networks have rapidly become the most successful machine-learning
algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded …
algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded …
Recent advances in convolutional neural network acceleration
In recent years, convolutional neural networks (CNNs) have shown great performance in
various fields such as image classification, pattern recognition, and multi-media …
various fields such as image classification, pattern recognition, and multi-media …
The architectural implications of autonomous driving: Constraints and acceleration
Autonomous driving systems have attracted a significant amount of interest recently, and
many industry leaders, such as Google, Uber, Tesla, and Mobileye, have invested a large …
many industry leaders, such as Google, Uber, Tesla, and Mobileye, have invested a large …