[PDF][PDF] Supervised machine learning-based prediction of COVID-19

A Atta-ur-Rahman, K Sultan, I Naseer… - … , Materials & Continua, 2021 - researchgate.net
COVID-19 turned out to be an infectious and life-threatening viral disease, and its swift and
overwhelming spread has become one of the greatest challenges for the world. As yet, no …

Deep learning approach to text analysis for human emotion detection from big data

J Guo - Journal of Intelligent Systems, 2022 - degruyter.com
Emotional recognition has arisen as an essential field of study that can expose a variety of
valuable inputs. Emotion can be articulated in several means that can be seen, like speech …

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 …

A deep learning approach to intelligent fruit identification and family classification

NM Ibrahim, DGI Gabr, A Rahman, S Dash… - Multimedia Tools and …, 2022 - Springer
The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …

Data mining approach to predict success of secondary school students: A Saudi Arabian case study

AS Alghamdi, A Rahman - Education Sciences, 2023 - mdpi.com
A problem that pervades throughout students' careers is their poor performance in high
school. Predicting students' academic performance helps educational institutions in many …

A deep-learning approach to driver drowsiness detection

MIB Ahmed, H Alabdulkarem, F Alomair, D Aldossary… - Safety, 2023 - mdpi.com
Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has
become an essential task to seek an understanding of the situation in order to be able to …

Network Anomaly Detection in 5G Networks.

A Rahman, M Mahmud, T Iqbal… - Mathematical …, 2022 - search.ebscohost.com
On the telecommunications front, 5G is the fifth-generation technology standard for
broadband cellular networks, which is a replacement for the 4G networks used by most …

An ontological framework for information extraction from diverse scientific sources

G Zaman, H Mahdin, K Hussain, J Abawajy… - IEEE …, 2021 - ieeexplore.ieee.org
Automatic information extraction from online published scientific documents is useful in
various applications such as tagging, web indexing and search engine optimization. As a …

ZeVigilante: Detecting Zero‐Day Malware Using Machine Learning and Sandboxing Analysis Techniques

F Alhaidari, NA Shaib, M Alsafi… - Computational …, 2022 - Wiley Online Library
For the enormous growth and the hysterical impact of undocumented malicious software,
otherwise known as Zero-Day malware, specialized practices were joined to implement …

Event detection system based on user behavior changes in online social networks: Case of the covid-19 pandemic

RL Rosa, MJ De Silva, DH Silva, MS Ayub… - Ieee …, 2020 - ieeexplore.ieee.org
People use Online Social Networks (OSNs) to express their opinions and feelings about
many topics. Depending on the nature of an event and its dissemination rate in OSNs, and …