[HTML][HTML] Systematic review of data-centric approaches in artificial intelligence and machine learning

P Singh - Data Science and Management, 2023 - Elsevier
Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart
algorithms have been developed to improve the performance of AI-oriented structures …

[HTML][HTML] Coupling big data and life cycle assessment: A review, recommendations, and prospects

J Li, Y Tian, K Xie - Ecological Indicators, 2023 - Elsevier
Life cycle assessment (LCA) is a method that focuses on measuring indicators and making
decisions in the environmental dimension. However, its isolation from economic, social, and …

Underlying factors and strategies for organizational BIM capabilities: The case of Iran

MS Rajabi, M Rezaeiashtiani, AR Radzi… - Applied System …, 2022 - mdpi.com
Building information modeling (BIM) has a significant role in the architecture, engineering,
construction, and operation (AECO) industries. Most BIM benefits have not been grasped …

Medical data publishing based on average distribution and clustering

T Yi, M Shi, H Zhu - CAAI Transactions on Intelligence …, 2022 - Wiley Online Library
Most of the data publishing methods have not considered sensitivity protection, and hence
the adversary can disclose privacy by sensitivity attack. Faced with this problem, this paper …

Building a technology recommender system using web crawling and natural language processing Technology

N Campos Macias, W Düggelin, Y Ruf, T Hanne - Algorithms, 2022 - mdpi.com
Finding, retrieving, and processing information on technology from the Internet can be a
tedious task. This article investigates if technological concepts such as web crawling and …

Associative learning mechanism for drug‐target interaction prediction

Z Zhu, Z Yao, G Qi, N Mazur, P Yang… - CAAI Transactions on …, 2023 - Wiley Online Library
As a necessary process of modern drug development, finding a drug compound that can
selectively bind to a specific protein is highly challenging and costly. Exploring drug‐target …

Efficient statistical estimation for a non-randomly distributed system with application to large-scale data neural network

K Wang, B Zhang, X Sun, S Li - Expert Systems With Applications, 2022 - Elsevier
This paper proposes a communication-efficient pilot sample surrogate loss function
framework that is able to solve efficient statistical estimation for a non-randomly distributed …

Weakly supervised learning for an effective focused web crawler

PRJ Dhanith, K Saeed, G Rohith, SP Raja - Engineering Applications of …, 2024 - Elsevier
Focused crawler traverses the Web to only collect pages that are relevant to a particular
topic, and is increasingly considered as a way to get around the scalability issues with …

Using knowledge graphs for audio retrieval: a case study on copyright infringement detection

M Montanaro, AM Rinaldi, C Russo, C Tommasino - World Wide Web, 2024 - Springer
Identifying cases of intellectual property violation in multimedia files poses significant
challenges for the Internet infrastructure, especially when dealing with extensive document …

Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review

F Darbanian, P Brandtner… - … and Supply Chain …, 2024 - journal.oscm-forum.org
In recent years, there has been a growing surge of interest in the application of data
analytics (DA) within the realm of supply chain management (SCM), attracting attention from …