Saiqa Shaikh, PhD.

📚Publications

Copyright Policy on Published Papers: Copyright on our articles is held by respective publishers. They are posted here for educational purpose only. If you want to use them for commercial purpose, please consult copyright holders!

🧪 Journal Papers

  1. Khan, S., Narvekar, M. and Joshi, M.S., 2022. MF-SE-RT: Novel transfer learning method for the detection of tomato diseases in real-world environment using dilated Multiscale Feature Extraction. International Journal of Computing and Digital Systems, 11(1), pp.1261–1274. https://doi.org/10.12785/ijcds/1101102
  2. Khan, S. and Narvekar, M., 2020. Novel Fusion of Color Balancing and Superpixel Based Approach for Detection of Tomato Plant Diseases in Natural Complex Environment. Journal of King Saud University – Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2020.09.006
  3. Khan, S. and Narvekar, M., 2020. Disorder Detection of Tomato Plant (Solanum Lycopersicum) Using IoT and Machine Learning. Journal of Physics: Conference Series, 1432, p.012086. https://doi.org/10.1088/1742-6596/1432/1/012086
  4. Z.A., Khan, S., Kazi, M., Bhatkar, A. and Shaikh, S., 2017. Secured Administration and Management of Pertinent Data based on Web Technology and Data Mining. International Journal of Computer Applications, 170(3), pp.23–27. https://doi.org/10.5120/ijca2017914726
  5. Khan, S., Azmi, H., Nair, A. and Mirza, H., 2017. Implication and Utilization of various Lip Reading Techniques. International Journal of Computer Applications, 167(10), pp.25–27. https://doi.org/10.5120/ijca2017914391
  6. Khan, S. and Kulkarni, A., 2010. Reduced Time Complexity for Detection of Copy-Move Forgery Using Discrete Wavelet Transform. International Journal on Computer Science and Engineering, 2(5).
  7. Khan, S. and Kulkarni, A., 2010. Reduced Time Complexity for Detection of Copy-Move Forgery Using Discrete Wavelet Transform. International Journal of Computer Applications, 6(7).

🎤 International Conference Papers

  1. Khan, S. and Narvekar, M., 2023. Novel image processing technique using thresholding and deep learning model to identify plant diseases in complex background. Lecture Notes in Networks and Systems, pp.265–276. https://doi.org/10.1007/978-981-99-0483-9_23
  2. Shaikh, Z., Ansari, M., Ansari, A. and Khan, S., 2020. Queue Wait-Time Prediction in a Hospital Environment Using Artificial Neural Network. International Conference on Intelligent Computing and Networking, Mumbai, India.
  3. Ansari, A., Kalaniya, A., Memon, S. and Khan, S., 2021. Assessment of data visualization and pre-processing techniques on the performance of deep neural networks. International Conference on Contemporary Engineering and Technology, Chennai, India.
  4. Faizan, S., Rehan, S. and Khan, S., 2021. Light Intensity Adjustment and Severity Estimation System for Generic Disease of Tomato Plants. International Conference on Contemporary Engineering and Technology, Chennai, India.
  5. Khan, S. and Narvekar, M., 2020. Disorder Detection in Tomato Plant Using Deep Learning. Springer International Conference on Intelligent Computing, DJICACTA2020, Mumbai. https://doi.org/10.1007/978-981-15-3242-9_19
  6. Khan, S. et al., 2019. Image Processing Based Application of Thermal Imaging for Monitoring Stress Detection in Tomato Plants. International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India. https://doi.org/10.1109/icssit46314.2019.8987900
  7. Narvekar, M. and Khan, S., 2018. Disorder Detection of Tomato Plant using IoT and Ensemble Techniques. AFITA/WCCA 2018 Conference, IIT Bombay, India.
  8. Khan, S., Narvekar, M., Shaikh, A.A., Ansari, H. and Ansari, N., 2019. Disorder Detection in Tomato Plant Using Deep Learning. International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur, India. https://doi.org/10.1007/978-981-15-3242-9_19
  9. Khan, E.S., Azmi, H., Ansari, F. and Dhalvelkar, S., 2018. Simple Implementation of Criminal Investigation using Call Data Records (CDRs) through Big Data Technology. International Conference on Smart City and Emerging Technology (ICSCET), India.
  10. Khan, E.S., Saemeen, K., Parveen, D. and Jannat, P., 2018. Analysis of Data Mining Techniques for Agricultural Science. International Conference on Smart City and Emerging Technology (ICSCET), India.
  11. Khan, S. and Narvekar, M., 2018. Survey of Techniques for Disorder Detection in Tomato (Solanum Lycopersicum). Second International Conference on Intelligent Computing and Control Systems (ICICCS). https://doi.org/10.1109/iccons.2018.8662933
  12. Virani, F., Khan, S., Vadnagarwala, M. and Qureshi, Z., 2016. Shared Vision System. International Conference on Computer Communication and Vision (ICCCV), Thakur College, Kandivali, India.
  13. Khan, S., 2015. Proposed Disaster Management System using Big Data Analytics to Predict Earthquakes like Nepal. International Conference on Advances in Technology, Engineering and Research (ICATETR), Bal Krishna Institute of Technology, Rajasthan. ISBN: 978-81-930823-0-0
  14. Khan, S., Abdullah Khan, T.T., Habibullah, M. and others, 2014. An Integrated Approach for Detection of Image Splicing and Region Duplication Forgery. International Conference on Emerging Frontiers in Technology (ICEFT), MHSSCE College, Mumbai, India.
  15. Khan, S. and Kulkarni, A., 2011. Detection of Copy-Move Forgery Using Multiresolution Characteristic of Discrete Wavelet Transform. ACM International Conference on Web Intelligence and Intelligent Agent Technology (ICWET), Mumbai, India.
  16. Khan, S. and Kulkarni, A., 2010. Robust Method for Detection of Copy-Move Forgery in Digital Images. IEEE International Conference on Signal and Image Processing (ICSIP), Chennai, India.

📘 Book Chapters

Khan, S. et al., 2021. Application of Deep Learning Coupled with Thermal Imaging in Detecting Water Stress in Plants. In: Design of Intelligent Applications using Machine Learning and Deep Learning Techniques. CRC Press. ISBN: 9780367679798.

🧾 Patent

Khan, S., 2022. A system for detection and classification of tomato disease using deep learning. Indian Patent Application Number: 202221024242.

📚 Books Authored

  • Khan, S., 2016. Big Data Analytics. Technical Publications.
  • Khan, S., 2016. Distributed Databases. Technical Publications.
  • Khan, S., 2016. Software Project Management. 2nd Ed., Nandu Publications.
  • Khan, S., 2014. Database Management System. Nandu Publications.
  • Khan, S., 2013. Database Technologies. Nandu Publications.
  • Khan, S., 2013. Advanced Database Management Systems. 2nd Ed., Nandu Publications.
  • Khan, S., 2012. Advanced Database Management Systems. 1st Ed., Nandu Publications.
  • Khan, S., 2011. Software Project Management. Nandu Publications.
  • Khan, S. and Pirani, Z., 2010. Software Testing and Quality Assurance. Techmax Publications.