Deep learning approach to recyclable products classification: Towards sustainable waste management

MIB Ahmed, RB Alotaibi, RA Al-Qahtani, RS Al-Qahtani… - Sustainability, 2023 - mdpi.com
Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …

Deep learning for multi-label learning: A comprehensive survey

AN Tarekegn, M Ullah, FA Cheikh - arXiv preprint arXiv:2401.16549, 2024 - arxiv.org
Multi-label learning is a rapidly growing research area that aims to predict multiple labels
from a single input data point. In the era of big data, tasks involving multi-label classification …

Multi-Label Classification of Chinese Rural Poverty Governance Texts Based on XLNet and Bi-LSTM Fused Hierarchical Attention Mechanism

X Wang, L Guo - Applied Sciences, 2023 - mdpi.com
Hierarchical multi-label text classification (HMTC) is a highly relevant and widely discussed
topic in the era of big data, particularly for efficiently classifying extensive amounts of text …

[PDF][PDF] Integration of Blockchain and Cloud Computing in Telemedicine and Healthcare

A Albassam, F Almutairi, N Majoun, R Althukair… - IJCSNS, 2023 - researchgate.net
Blockchain technology has emerged as one of the most crucial solutions in numerous
industries, including healthcare. The combination of blockchain technology and cloud …

AI for Computational Vision, Natural Language Processing, and Geoinformatics

W Zheng, M Liu, K Li, X Liu - Applied Sciences, 2023 - mdpi.com
The rapid development of artificial intelligence technology has had a huge impact on the
fields of computer vision, natural language processing, and geographic information …

Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

A Alhashem, A Abdulbaset, F Almudarra… - … Journal of Computer …, 2023 - koreascience.kr
The emergence of COVID-19 virus has shaken almost every aspect of human life including
but not limited to social, financial, and economic changes. One of the most significant …

[HTML][HTML] Arabic Spam Tweets Classification: A Comprehensive Machine Learning Approach

WH Hantom, A Rahman - AI, 2024 - mdpi.com
Nowadays, one of the most common problems faced by Twitter (also known as X) users,
including individuals as well as organizations, is dealing with spam tweets. The problem …

Blockchain Empowered Interoperable Framework for Smart Healthcare.

A Rahman, M Almomen, A Albahrani… - Mathematical …, 2024 - search.ebscohost.com
In the past, healthcare industry used paper-based systems to manage and store medical
records. However, these systems are vulnerable to data breaches, loss, and errors. To …

[PDF][PDF] Early Detection of Diabetic Retinopathy Utilizing Advanced Fuzzy Logic Techniques.

MIB Ahmed - Mathematical Modelling of Engineering Problems, 2023 - researchgate.net
The escalating prevalence of diabetes globally, exacerbated by lifestyle changes
postpandemic—including increased screen time, sedentary behavior, and remote work …

Rule-Based Information Extraction from Multi-format Resumes for Automated Classification.

DA Musleh - Mathematical Modelling of Engineering …, 2024 - search.ebscohost.com
Nowadays, with the expansion of the Internet, a lot of people publish their resumes on the
internet and social media networks. Large companies receive hundreds of resumes per day …