• Cross-Domain Transfer Learning for Natural Scene Classification of Remote-Sensing Imagery 

      Akhtar, Muhammad; Murtza, Iqbal; Adnan, Muhammad; Saadia, Ayesha (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-05)
      Natural scene classification, which has potential applications in precision agriculture, environmental monitoring, and disaster management, poses significant challenges due to variations in the spatial resolution, spectral resolution, texture, and size of remotely sensed images of natural scenes on Earth. For such challenging problems, deep-learning-based algorithms have demonstrated amazing ...
    • Improving spam email classification accuracy using ensemble techniques: a stacking approach 

      Adnan, Muhammad; Imam, Muhammad Osama; Javed, Muhammad Furqan; Murtza, Iqbal (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-20)
      Spam emails pose a substantial cybersecurity danger, necessitating accurate classification to reduce unwanted messages and mitigate risks. This study focuses on enhancing spam email classification accuracy using stacking ensemble machine learning techniques.We trained and tested five classifiers: logistic regression, decision tree, K-nearest neighbors (KNN), Gaussian naive Bayes and AdaBoost. To ...