Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Abdur Rasool"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 2111-2129 (2024)
In fashion e-commerce, predicting item compatibility using visual features remains a significant challenge. Current recommendation systems often struggle to incorporate high-dimensional visual data into graph-based learning models effectively. This l
Externí odkaz:
https://doaj.org/article/ebbfe94ab6304116a578a54aa9cd6b6a
Publikováno v:
PeerJ Computer Science, Vol 10, p e2512 (2024)
A substation is integral to the functioning of a power grid, enabling the efficient and safe transmission and distribution of electrical energy to meet the demands of consumers. The digital transformation of critical infrastructures, particularly in
Externí odkaz:
https://doaj.org/article/17abbe8e5e1048e2a4bc8fd25a257b67
Autor:
Aditi Jaiswal, Ruben Kruiper, Abdur Rasool, Aayush Nandkeolyar, Dennis P Wall, Peter Washington
Publikováno v:
JMIR Research Protocols, Vol 13, p e52205 (2024)
BackgroundA considerable number of minors in the United States are diagnosed with developmental or psychiatric conditions, potentially influenced by underdiagnosis factors such as cost, distance, and clinician availability. Despite the potential of d
Externí odkaz:
https://doaj.org/article/4f06668cb11f42a28fc5eb9501737d86
Publikováno v:
Mathematics, Vol 12, Iss 8, p 1235 (2024)
As data continue to grow in complexity and size, there is an imperative need for more efficient and robust storage solutions. DNA storage has emerged as a promising avenue to solve this problem, but existing approaches do not perform efficiently enou
Externí odkaz:
https://doaj.org/article/e0d7ea6387c14b3b8bbe0fc61f83587c
Publikováno v:
Symmetry, Vol 16, Iss 2, p 248 (2024)
The escalating reliance on revolutionary online web services has introduced heightened security risks, with persistent challenges posed by phishing despite extensive security measures. Traditional phishing systems, reliant on machine learning and man
Externí odkaz:
https://doaj.org/article/d157a82ebddc44cc9d4290442f33d213
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
DNA is a practical storage medium with high density, durability, and capacity to accommodate exponentially growing data volumes. A DNA sequence structure is a biocomputing problem that requires satisfying bioconstraints to design robust sequences. Ex
Externí odkaz:
https://doaj.org/article/1c8d892136fc45c08b1fe80ad496c05a
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Today's growing phishing websites pose significant threats due to their extremely undetectable risk. They anticipate internet users to mistake them as genuine ones in order to reveal user information and privacy, such as login ids, pass-word
Externí odkaz:
https://doaj.org/article/ebf24ba8bada4a68b9054c827692764c
Publikováno v:
PeerJ Computer Science, Vol 8, p e877 (2022)
Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) have been successfully applied to Natural Language Processing (NLP), especially in sentiment analysis. NLP can execute numerous functions to achieve significant results through R
Externí odkaz:
https://doaj.org/article/3655a1fe81544ee1853dc1f5d9185896
Publikováno v:
IEEE Access, Vol 8, Pp 191850-191861 (2020)
Sentiment analysis or opinion mining is the key to natural language processing for the extraction of useful information from the text documents of numerous sources. Several different techniques, i.e., simple rule-based to lexicon-based and more sophi
Externí odkaz:
https://doaj.org/article/3cd6630fa7cf44a38e22c64be2a010ef
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 2828 (2023)
Fashion image clustering is the key to fashion retrieval, forecasting, and recommendation applications. Manual labeling-based clustering is both time-consuming and less accurate. Currently, popular methods for extracting features from data use deep l
Externí odkaz:
https://doaj.org/article/ca52792f3b354411b004139df47e4a2c