Analyzing Quality of Software Requirements; A Comparison Study on NLP Tools. - Afrah Naeem; Zeeshan Aslam; Munam Ali Shah (ICAC, 2019)

An Enhanced Convolutional Neural Network Model Based on Weather Parameters for Short-Term Electricity Supply and Demand. - Zeeshan Aslam; Nadeem Javaid; Muhammad Adil; Muhammad Tariq Ijaz; Atta ur Rahman; Mohsin Ahmed (AINA, 2020)

Iris and Foot based Sustainable Biometric Identification Approach. - Shahzad Ashraf; Sehrish Saleem; Tauqeer Ahmed; Zeeshan Aslam; Muhammad Shuaeeb (SoftCOM, 2020)

An Attention Guided Semi-Supervised Learning Mechanism to Detect Electricity Frauds in the Distribution Systems. - Zeeshan Aslam; Fahad Ahmed; Ahmad Almogren; Muhammad Shafiq 002; Mansour Zuair; Nadeem Javaid (IEEE Access, 2020)

Conversion of adverse data corpus to shrewd output using sampling metrics. - Shahzad Ashraf; Sehrish Saleem; Tauqeer Ahmed; Zeeshan Aslam; Durr Muhammad (Vis. Comput. Ind. Biomed. Art, 2020)

Comparative Study of Data Driven Approaches Towards Efficient Electricity Theft Detection in Micro Grids. - Faisal Shehzad; Muhammad Asif 018; Zeeshan Aslam; Shahzaib Anwar; Hamza Rashid; Muhammad Ilyas; Nadeem Javaid (IMIS, 2021)

Energy-aware Theft Detection based on IoT Energy Consumption Data. - Zunaira Nadeem; Zeeshan Aslam; Mona Jaber; Adnan Qayyum; Junaid Qadir 001 (VTC2023-Spring, 2023)

A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids. - Afrah Naeem; Zeeshan Aslam; Tamara Al Shloul; Aqdas Naz; Muhammad Imran Nadeem; Mosleh Hmoud Al-Adhaileh; Yazeed Yasin Ghadi; Heba G. Mohamed (IEEE Access, 2023)

Enhancing Vehicle Entrance and Parking Management: Deep Learning Solutions for Efficiency and Security. - Muhammad Umer Ramzan; Usman Ali; Syed Haider Abbas Naqvi; Zeeshan Aslam; Tehseen; Husnain Ali; Muhammad Faheem (CoRR, 2023)