[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 …
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 …
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
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 …
documents available in digital form. The increased production of documents has gained so …
A deep learning approach to intelligent fruit identification and family classification
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 …
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 …
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 …
become an essential task to seek an understanding of the situation in order to be able to …
An ontological framework for information extraction from diverse scientific sources
Automatic information extraction from online published scientific documents is useful in
various applications such as tagging, web indexing and search engine optimization. As a …
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 …
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
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 …
many topics. Depending on the nature of an event and its dissemination rate in OSNs, and …