Machine Learning and IoT-Based Waste Management Model PK Rijwan Khan ,Santosh Kumar ,Akhilesh Kumar Srivastava, Niharika Dhingra ... Computational Intelligence and Neuroscience 2021 (1), 1-11, 2021 | 67* | 2021 |
Optimization of automatic generated test cases for path testing using genetic algorithm R Khan, M Amjad, AK Srivastava 2016 Second International Conference on Computational Intelligence …, 2016 | 33 | 2016 |
Generation of automatic test cases with mutation analysis and hybrid genetic algorithm R Khan, M Amjad, AK Srivastava 2017 3rd International Conference on Computational Intelligence …, 2017 | 23 | 2017 |
Optimization of automatic test case generation with cuckoo search and genetic algorithm approaches R Khan, M Amjad, AK Srivastava Advances in Computer and Computational Sciences: Proceedings of ICCCCS 2016 …, 2018 | 16 | 2018 |
Agile approach for Software Testing process R Khan, AK Srivastava, D Pandey 2016 International Conference System Modeling & Advancement in Research …, 2016 | 16 | 2016 |
EEPMS: energy efficient path planning for mobile sink in wireless sensor networks: a genetic algorithm-based approach AK Srivastava, A Sinha, R Mishra, SK Gupta Advances in Computational Intelligence and Communication Technology …, 2021 | 7 | 2021 |
Prediction of students performance using KNN and decision tree-a machine learning approach AK Srivastava, A Chaudhary, A Gautam, DP Singh, R Khan Strad 7 (9), 119-125, 2020 | 7 | 2020 |
Automatic Software Testing Framework for All def-use with Genetic Algorithm AK Srivastava International Journal of Innovative Technology and Exploring Engineering …, 2019 | 7* | 2019 |
Design of Machine-Learning Classifier for Stock Market Prediction AK Srivastava, A Srivastava, S Singh, S Sugandha, Tripta, S Gupta SN Computer Science 3 (1), 88, 2022 | 5 | 2022 |
Challenges in automation of test cases for mobile payment apps A Pandey, R Khan, AK Srivastava 2018 4th International Conference on Computational Intelligence …, 2018 | 5 | 2018 |
Medicolite‐machine learning‐based patient care model R Khan, AK Srivastava, M Gupta, P Kumari, S Kumar Computational Intelligence and Neuroscience 2022 (1), 8109147, 2022 | 4 | 2022 |
Twitter Sentiment Analysis: A Novel Machine Learning Approach NKS Shubham Kumar, Akhilesh Kumar Srivastava, Yaman Soni, Utkarsh Tyaghi International Journal of Control and Automation 13 (4), 412-421, 2020 | 4 | 2020 |
EERP: Energy-Efficient Relay Node Placement for k-Connected Wireless Sensor Networks Using Genetic Algorithm AK Srivastava, SK Gupta Ambient Communications and Computer Systems: RACCCS-2018, 3-10, 2019 | 4 | 2019 |
Enabling Secure and Transparent Crowd Funding Approach Powered by Blockchain A Mishra, H Khatter, G Gupta, A Jamshed, AK Srivastava Emerging Technologies in Data Mining and Information Security: Proceedings …, 2022 | 2 | 2022 |
Fake news detection system using stance detection and machine learning approaches AK Srivastava, R Khan International Journal of Forensic Software Engineering 1 (4), 378-389, 2022 | 2 | 2022 |
Prediction and diagnosis of diabetes using machine learning classifiers H Tyagi, A Agarwal, A Gupta, K Goel, AK Srivastava, AK Srivastava International Journal of Forensic Software Engineering 1 (4), 335-347, 2022 | 2 | 2022 |
Smart Attendance Portal using Facial Recognition H TRIPATHI, AK SRIVASTAVA, A BISHT vol 20, 11, 2021 | 2 | 2021 |
A Tool for Generation of Automatic Control Flow Graph in Unit Testing of Python Programs AK Srivastava International Journal of Engineering and Advanced Technology (IJEAT) 8 (5 …, 2019 | 2 | 2019 |
Auditing of Outsourced Data Integrity-A Taxonomy AK Srivastava, M Kumar Recent Advances in Electrical & Electronic Engineering (Formerly Recent …, 2023 | 1 | 2023 |
Multiple Replica Based Auditing of Outsourced Data: A Comprehensive Survey AK Srivastava, M Kumar 2023 International Conference on Computational Intelligence, Communication …, 2023 | 1 | 2023 |