• A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data 

      Khushi, Matloob; Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Uddin, Shahadat; Luo, Suhuai; Yang, Xiaoyan; Reyes, Maranatha Consuelo (Peer reviewed; Journal article, 2021)
      Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning algorithms. This study uses two ...
    • A Comprehensive Dataset for Bibliometric Analysis of SARS and Coronavirus Impact on Social Sciences 

      Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Luo, Suhuai; Li, Jiaming; Aujla, Gagandeep Kaur; Iqbal, Farhat (Peer reviewed; Journal article, 2020)
      The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published ...
    • An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset 

      Alam, Talha Mahboob; Shaukat, Kamran; Khan, Waseem Ahmad; Hameed, Ibrahim A.; Almuqren, Latifah Abd.; Raza, Muhammad Ahsan; Aslam, Memoona; Luo, Suhuai (Peer reviewed; Journal article, 2022)
      Efficient skin cancer detection using images is a challenging task in the healthcare domain. In today’s medical practices, skin cancer detection is a time-consuming procedure that may lead to a patient’s death in later ...
    • A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning 

      Batool, Dania; Shahbaz, Muhammad; Shahzad Asif, Hafiz; Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Ramzan, Zeeshan; Waheed, Abdul; Aljuaid, Hanan; Luo, Suhuai (Peer reviewed; Journal article, 2022)
      Tea (Camellia sinensis L.) is one of the most highly consumed beverages globally after water. Several countries import large quantities of tea from other countries to meet domestic needs. Therefore, accurate and timely ...
    • A Machine Learning-Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources 

      Ibrar, Muhammad; Hassan, Muhammad Awais; Shaukat, Kamran; Alam, Talha Mahboob; Khurshid, Khaldoon Syed; Hameed, Ibrahim A.; Aljuaid, Hanan; Luo, Suhuai (Peer reviewed; Journal article, 2022)
      A decentralized power grid is a modern system that implements demand response without requiring major infrastructure changes. In decentralization, the consumers regulate their electricity demand autonomously based on the ...
    • A novel method for performance measurement of public educational institutions using machine learning models 

      Alam, Talha Mahboob; Mushtaq, Mubbashar; Shaukat, Kamran; Hameed, Ibrahim A.; Sarwar, Muhammad Umer; Luo, Suhuai (Peer reviewed; Journal article, 2021)
      Lack of education is a major concern in underdeveloped countries because it leads to poor human and economic development. The level of education in public institutions varies across all regions around the globe. Current ...
    • A Proposed Framework for Early Prediction of Schistosomiasis 

      Ali, Zain; Hayat, Muhammad Faisal; Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Luo, Suhuai; Basheer, Shakila; Ayadi, Manel; Ksibi, Amel (Peer reviewed; Journal article, 2022)
      Schistosomiasis is a neglected tropical disease that continues to be a leading cause of illness and mortality around the globe. The causing parasites are affixed to the skin through defiled water and enter the human body. ...
    • A Review of Content-Based and Context-Based Recommendation Systems 

      Javed, Umair; Shaukat, Kamran; Hameed, Ibrahim A.; Iqbal, Farhat; Alam, Talha Mahboob; Luo, Suhuai (Peer reviewed; Journal article, 2021)
      In our work, we have presented two widely used recommendation systems. We have presented a context-aware recommender system to filter the items associated with user’s interests coupled with a context-based recommender ...
    • Trends and directions of financial technology (Fintech) in society and environment: A bibliometric study 

      Nasir, Adeel; Shaukat, Kamran; Khan, Kanwal Iqbal; Hameed, Ibrahim A.; Alam, Talha Mahboob; Luo, Suhuai (Peer reviewed; Journal article, 2021)
      The contemporary innovations in financial technology (fintech) serve society with an environmentally friendly atmosphere. Fintech covers an enormous range of activities from data security to financial service deliverables ...
    • V2X-Based Mobile Localization in 3D Wireless Sensor Network 

      Javed, Iram; Tang, Xianlun; Shaukat, Kamran; Sarwar, Muhammed Umer; Alam, Talha Mahboob; Hameed, Ibrahim A.; Saleem, Muhammad Asim (Peer reviewed; Journal article, 2021)
      In a wireless sensor network (WSN), node localization is a key requirement for many applications. The concept of mobile anchorbased localization is not a new concept; however, the localization of mobile anchor nodes gains ...