Saima Anwar Lashari
Orcid: 0000-0001-6209-491X
According to our database1,
Saima Anwar Lashari
authored at least 13 papers
between 2016 and 2024.
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Bibliography
2024
Kahoot: A game-based web tool to assess motivation, engagement fun, and learning outcomes among engineers.
Comput. Appl. Eng. Educ., March, 2024
CLA-FC5G: A Certificateless Authentication Scheme Using Fog Computing for 5G-Assisted Vehicular Networks.
IEEE Access, 2024
Oblivious Transfer-Based Authentication and Privacy-Preserving Protocol for 5G-Enabled Vehicular Fog Computing.
IEEE Access, 2024
D-BlockAuth: An Authentication Scheme-Based Dual Blockchain for 5G-Assisted Vehicular Fog Computing.
IEEE Access, 2024
2023
Training Learning Weights of Elman Neural Network Using Salp Swarm Optimization Algorithm.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Improving Student Performance Prediction Using a PCA-based Cuckoo Search Neural Network Algorithm.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
2022
Stacking Classifier with Random Forest functioning as a Meta Classifier for Diabetes Diseases Classification.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
2021
IEEE Access, 2021
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
An Efficient Learning Weight of Elman Neural Network with Chicken Swarm Optimization Algorithm.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
2020
IEEE Access, 2020
2018
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018
2016
Application of Wavelet De-noising Filters in Mammogram Images Classification Using Fuzzy Soft Set.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016