27 citations · 49 across the 7 of their papers we have counts for
17 papers
A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI
Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Saddam Hussain Khan +1
Brain tumors analysis is important in timely diagnosis and effective treatment to cure patients. Tumor analysis is challenging because of tumor morphology like size, location, text…
IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN
Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal +1
Interaction between devices, people, and the Internet has given birth to a new digital communication model, the Internet of Things (IoT). The seamless network of these smart device…
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
Saddam Hussain Khan, Asifullah Khan, Yeon Soo Lee +2
Automatic segmentation of shoulder muscle MRI is challenging due to the high variation in muscle size, shape, texture, and spatial position of tears. Manual segmentation of tear an…
Malware Classification Using Deep Boosted Learning
Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal +2
Malicious activities in cyberspace have gone further than simply hacking machines and spreading viruses. It has become a challenge for a nations survival and hence has evolved to c…
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN
Saddam Hussain Khan, Anabia Sohail, Asifullah Khan
COVID-19 is a highly contagious respiratory infection that has affected a large population across the world and continues with its devastating consequences. It is imperative to det…
Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks
Muhammad Abbas, Asifullah Khan, Aqsa Saeed Qureshi +1
Higgs boson is a fundamental particle, and the classification of Higgs signals is a well-known problem in high energy physics. The identification of the Higgs signal is a challengi…