Impact and Research Challenges of Penetrating Testing and Vulnerability Assessment on Network Threat

A Fatima, TA Khan, TM Abdellatif… - … for Technology and …, 2023 - ieeexplore.ieee.org
The primary goal of this research article is to identify prevalent network dangers and provide
countermeasures to these threats. In this modern era, everyone has access to the internet …

[HTML][HTML] Histopathologic oral cancer prediction using oral squamous cell carcinoma biopsy empowered with transfer learning

A Rahman, A Alqahtani, N Aldhafferi, MU Nasir… - Sensors, 2022 - mdpi.com
Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the
most usual cancer in the world, with more than 300,335 deaths every year. The cancerous …

[HTML][HTML] Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

SD Latif, NAB Hazrin, CH Koo, JL Ng, B Chaplot… - Alexandria Engineering …, 2023 - Elsevier
Using a comparison of three different major types, the best predictive model was
determined. Statistical models and machine learning algorithms automatically learn and …

[HTML][HTML] A real-time computer vision based approach to detection and classification of traffic incidents

MI Basheer Ahmed, R Zaghdoud, MS Ahmed… - Big data and cognitive …, 2023 - mdpi.com
To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific
number of AI (Artificial Intelligence) traffic surveillance technologies have emerged …

[HTML][HTML] 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 …

IoMT‐Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning

A Rahman, MU Nasir, M Gollapalli… - Computational …, 2022 - Wiley Online Library
A genetic disorder is a serious disease that affects a large number of individuals around the
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …

Advance genome disorder prediction model empowered with deep learning

MU Nasir, M Gollapalli, M Zubair, MA Saleem… - IEEE …, 2022 - ieeexplore.ieee.org
A major and essential issue in biomedical research is to predict genome disorder. Genome
disorders cause multivariate diseases like cancer, dementia, diabetes, cystic fibrosis, leigh …

Improving Pneumonia Detection in chest X-rays using Transfer Learning Approach (AlexNet) and Adversarial Training

A Athar, RN Asif, M Saleem, S Munir… - … for Technology and …, 2023 - ieeexplore.ieee.org
The method outlined in this paper employs transfer learning and adversarial training to
enhance the precision of pneumonia identification in chest X-rays. The authors use the …

Geo-spatial disease clustering for public health decision making

A ur Rahman - Informatica, 2022 - informatica.si
An explosion of interest has been observed in disease mapping with the developments in
advanced spatial statistics and the increasing availability of computerized geographic …

[HTML][HTML] A review on machine learning approaches in identification of pediatric epilepsy

MIB Ahmed, S Alotaibi, S Dash, M Nabil… - SN Computer …, 2022 - Springer
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …