Results 31 to 40 of about 26,832 (297)
IEEE Access, 2019 With the application of mobile computing in the security field, security monitoring big data has also begun to emerge, providing favorable support for smart city construction and city-scale and investment expansion.
Rui Yang +8 more
doaj +1 more source
Applied Sciences, 2020 For processing large-scale medical imaging data, adopting high-performance computing and cloud-based resources are getting attention rapidly. Due to its low–cost and non-invasive nature, microwave technology is being investigated for breast and brain ...
Rahmat Ullah, Tughrul Arslan
doaj +1 more source
Journal of Applied Science and Technology Trends, 2020 In this paper, several works have been presented related to clustering parallel computing for distributed systems. The trend of the paper is to focus on the strengths of previous works in this field towards enhancing the performance of distributed systems.
Hanan Shukur +6 more
openaire +2 more sources
Development of a Low-Cost Distributed Computing Pipeline for High-Throughput Cotton Phenotyping
SensorsIn this paper, we present the development of a low-cost distributed computing pipeline for cotton plant phenotyping using Raspberry Pi, Hadoop, and deep learning.
Vaishnavi Thesma +2 more
doaj +1 more source
A parallel and distributed stochastic gradient descent implementation using commodity clusters
Journal of Big Data, 2019 Deep Learning is an increasingly important subdomain of artificial intelligence, which benefits from training on Big Data. The size and complexity of the model combined with the size of the training dataset makes the training process very computationally
Robert K. L. Kennedy +3 more
doaj +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Evaluation of a small scale cluster computing system for parallel intelligent techniques applications [PDF]
, 2005 A small scale distributed computing system that is able to meet the needs of parallel intelligent techniques for engineering and science applications is reported in this paper.
Myers, D., Li, J.B., Fung, C.C.
core
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
k-Means Clustering Algorithm and Its Simulation Based on Distributed Computing Platform
Complexity, 2021 At present, the explosive growth of data and the mass storage state have brought many problems such as computational complexity and insufficient computational power to clustering research.
Chunqiong Wu +6 more
doaj +1 more source
How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome
FEBS Letters, EarlyView.In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini +3 more
wiley +1 more source