[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 …

[PDF][PDF] Rein: A comprehensive benchmark framework for data cleaning methods in ml pipelines

M Abdelaal, C Hammacher… - arXiv preprint arXiv …, 2023 - openproceedings.org
Nowadays, machine learning (ML) plays a vital role in many aspects of our daily life. In
essence, building well-performing ML applications requires the provision of high-quality …

Prediction of work-related risk factors among bus drivers using machine learning

PK Hanumegowda, S Gnanasekaran - International journal of …, 2022 - mdpi.com
A recent development in ergonomics research is using machine learning techniques for risk
assessment and injury prevention. Bus drivers are more likely than other workers to suffer …

[PDF][PDF] Data-Driven Load Forecasting Using Machine Learning and Meteorological Data.

A Alrashidi, AM Qamar - Computer Systems Science & …, 2023 - cdn.techscience.cn
Electrical load forecasting is very crucial for electrical power systems' planning and
operation. Both electrical buildings' load demand and meteorological datasets may contain …

Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania

F Mayo, C Maina, M Mgala, N Mduma - Frontiers in Artificial …, 2024 - frontiersin.org
Agriculture is considered the backbone of Tanzania's economy, with more than 60% of the
residents depending on it for survival. Maize is the country's dominant and primary food …

An Intelligent Approach Based on Cleaning up of Inutile Contents for Extremism Detection and Classification in Social Networks

A Berhoum, MCE Meftah, A Laouid… - ACM Transactions on …, 2023 - dl.acm.org
Extremism is a growing threat worldwide that presents a significant danger to public safety
and national security. Social networks provide extremists with spaces to spread their ideas …

A Survey of Secure Semantic Communications

R Meng, S Gao, D Fan, H Gao, Y Wang, X Xu… - arXiv preprint arXiv …, 2025 - arxiv.org
Semantic communication (SemCom) is regarded as a promising and revolutionary
technology in 6G, aiming to transcend the constraints of``Shannon's trap" by filtering out …

A data-centric approach to anomaly detection in layer-based additive manufacturing

A Zeiser, B Özcan, C Kracke, B van Stein… - at …, 2023 - degruyter.com
Anomaly detection describes methods of finding abnormal states, instances or data points
that differ from a normal value space. Industrial processes are a domain where predicitve …

Data cleaning survey and challenges–improving outlier detection algorithm in machine learning

S Borrohou, R Fissoune, H Badir - Journal of Smart Cities and …, 2023 - content.iospress.com
Data cleaning, also referred to as data cleansing, constitutes a pivotal phase in data
processing subsequent to data collection. Its primary objective is to identify and eliminate …

Exploring the Impact of Quality Education Management on Pupils' Academic Performance. A Case Study of Basic Schools in Ghana

R Donkoh, WO Lee, J Donkor, PO Twerefoo… - International Journal of …, 2023 - journals.co.za
Generally, research on educational management omits its impact on pupils' academic
performance in basic schools. This research fills this gap by assessing the effect of quality …