Single vs. multi-label: The issues, challenges and insights of contemporary classification schemes

NA Sajid, A Rahman, M Ahmad, D Musleh… - Applied Sciences, 2023 - mdpi.com
Over the decades, a tremendous increase has been witnessed in the production of
documents available in digital form. The increased production of documents has gained so …

Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: a deep learning approach

MS Ahmed, A Rahman, F AlGhamdi, S AlDakheel… - Diagnostics, 2023 - mdpi.com
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …

[PDF][PDF] Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model.

A Alotaibi, A Rahman, R Alhaza… - Mathematical …, 2022 - researchgate.net
Accepted: 4 October 2022 Saudi Telecom Company (STC) is among the most popular
companies in Saudi Arabia, with many customers. Yet, there is still a big room for …

[PDF][PDF] Intelligent Directional Survey Data Analysis to Improve Directional Data Acquisition.

MIB Ahmed, RA Zaghdoud, MS Ahmed… - Mathematical …, 2023 - researchgate.net
Accepted: 20 November 2022 Many countries rely on oil and gas production as it is an
essential part of the global economy. As a result, various challenges may thrive from the …

[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 …

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 …

Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks

T Sakumoto, T Hayashi, H Sakaji, H Nonaka - IEEE Access, 2024 - ieeexplore.ieee.org
Data integration, which aims to solve problems and create new services by combining
datasets, has attracted considerable attention. The discovery of similar datasets that can be …

Improved parallel k-means clustering algorithm

L AlGhamdi, M Alkharraa, S AlZahrani… - … on Computing and …, 2023 - ieeexplore.ieee.org
The K-means algorithm, one of the most well-known clustering techniques, has been widely
employed to solve a variety of problems. In contrast, the k-means clustering algorithm has …

[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 …