Nura Shifa Musa

Research Advances in Maize Crop Disease Detection Using Machine Learning and Deep Learning Approaches

Thangavel Murugan, Nasurudeen Ahamed Noor Mohamed Badusha, Nura Shifa Musa, Eiman Mubarak Masoud Alahbabi, Ruqayyah Ali Ahmed Alyammahi, Abebe Belay Adege, et al.

Recent developments in machine learning (ML) and deep learning (DL) algorithms have introduced a new approach to the automatic detection of plant diseases. However, existing reviews of this field tend to be broader than maize-focused and do not offer a comprehensive synthesis of…Read more

Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends

Saida Hafsa Rafique, Amira Abdallah, Nura Shifa Musa, Thangavel Murugan

With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from the expected norm, facilitating the prompt identification…Read more

Corrections to “Cloud Network Anomaly Detection Using Machine and Deep Learning Techniques—Recent Research Advancements”

Amira Mahamat Abdallah, Aysha Saif Rashed Obaid Alkaabi, Ghaya Bark Nasser Douman Alameri, Saida Hafsa Rafique, Nura Shifa Musa, Thangavel Murugan

Cloud Network Anomaly Detection Using Machine and Deep Learning Techniques— Recent Research Advancements

Amira Mahamat Abdallah, Aysha Saif Rashed Obaid Alkaabi, Ghaya Bark Nasser Douman Alameri, Saida Hafsa Rafique, Nura Shifa Musa, Thangavel Murugan