Results 21 to 30 of about 6,225,690 (315)

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

IEEE Access
Seismic interpretation is a crucial task in geophysics, requiring accurate prediction of subsurface layer thickness and seismic wave velocity. Traditional methods are computationally intensive and often hindered by noise in seismic data.
Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam   +4 more
doaj   +1 more source

Snow Removal From Light Field Images

IEEE Access, 2019
In this paper, we propose a novel deep convolutional neural network (DCNN) for removing snowflakes from light field (LF) images. We observe that snowflakes in LF images always interrupt slopes in background scenes in epipolar plane images (EPIs), which ...
Tao Yan, Yuyang Ding, Fan Zhang, Ningyu Xie, Wenxi Liu, Zhengtian Wu, Yuan Liu   +6 more
doaj   +1 more source

A systematic mapping study of source code representation for deep learning in software engineering

IET Software, 2022
The usage of deep learning (DL) approaches for software engineering has attracted much attention, particularly in source code modelling and analysis.
Hazem Peter Samoaa, Firas Bayram, Pasquale Salza, Philipp Leitner   +3 more
doaj   +1 more source

A coevolutionary algorithm based on the auxiliary population for constrained large-scale multi-objective supply chain network

Mathematical Biosciences and Engineering, 2022
Supply chain network is important for the enterprise to improve the operation and management, but has become more complicated to optimize in reality. With the consideration of multiple objectives and constraints, this paper proposes a constrained large ...
Xin Zhang , Zhaobin Ma, Bowen Ding , Wei Fang , Pengjiang Qian   +4 more
doaj   +1 more source

Modeling software design diversity [PDF]

, 2001
Design diversity has been used for many years now as a means of achieving a degree of fault tolerance in software-based systems. Whilst there is clear evidence that the approach can be expected to deliver some increase in reliability compared with a ...
ANDERSON T., BABBAGE C., Bev Littlewood, BISHOP P. G., BISHOP P.G., FAA, HAGELIN G., KNIGHT J.C., LARYD A., LINDEBERG J. F., Lorenzo Strigini, Peter Popov, POPOV P., TRAVERSE P. J., VOGES U.   +14 more
core   +1 more source

Image Encryption Scheme Based on Multiscale Block Compressed Sensing and Markov Model

Entropy, 2021
Many image encryption schemes based on compressed sensing have the problem of poor quality of decrypted images. To deal with this problem, this paper develops an image encryption scheme by multiscale block compressed sensing. The image is decomposed by a
Yuandi Shi, Yinan Hu, Bin Wang
doaj   +1 more source

Information Technology of Software Architecture Structural Synthesis of Information System [PDF]

, 2016
Information technology of information system software architecture structural synthesis is proposed. It is used for evolutionary models of the software lifecycle, which provides configuration and formation of software to control the realization and ...
Chainikov, S. (Sergey), Solodovnikov, A. (Andrey)   +1 more
core   +2 more sources

A guide to similarity measures and their data science applications

Journal of Big Data
Similarity measures play a central role in various data science application domains for a wide assortment of tasks. This guide describes a comprehensive set of prevalent similarity measures to serve both non-experts and professionals.
Avivit Levy, B. Riva Shalom, Michal Chalamish   +2 more
doaj   +1 more source

A survey on knowledge distillation: Recent advancements

Machine Learning with Applications
Deep learning has achieved notable success across academia, medicine, and industry. Its ability to identify complex patterns in large-scale data and to manage millions of parameters has made it highly advantageous. However, deploying deep learning models
Amir Moslemi, Anna Briskina, Zubeka Dang, Jason Li   +3 more
doaj   +1 more source

Use of Unstructured Event-Based Reports for Global Infectious Disease Surveillance

Emerging Infectious Diseases, 2009
Free or low-cost sources of unstructured information, such as Internet news and online discussion sites, provide detailed local and near real-time data on disease outbreaks, even in countries that lack traditional public health surveillance.
Mikaela Keller, Michael Blench, Herman Tolentino, Clark C. Freifeld, Kenneth D. Mandl, Abla Mawudeku, Gunther Eysenbach, John S. Brownstein   +7 more
doaj   +1 more source