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- International Journal of Innovative Research in Information Security is an International peer-reviewed research publishing journal with a laser-beam focal aim of promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Information Technology. It is a monthly published online international scientific research journal focusing on issues in information technology research.
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- International Journal of Innovative Research in Information Security, 09 (2): 50-54 (May 2023)1. Muhlenbach, F. and Rakotomalala, R. (2015), “Discretization of Continuous Attributes,” In: Wang, J., Ed., Encyclopedia of Data Warehousing and Mining, Idea Group Reference, 397-402. https://doi.org/10.4018/978-1-59140-557-3.ch076 2. M. Liu, D. Zhang, and D. Shen, “Relationship induced multi- 52 template learning for diagnosis of alzheimer’s disease and mild cognitive impairment,” IEEE transactions on medical imaging, vol. 35, no. 6, p. 1463—1474, (2016). https://doi.org/10.1109/tmi.2016.2515021 3. Abdullah Caliskan, Hasan Badem, A. Baştürk, M.E. Yüksel, “Diagnosis Of The Parkinson Disease By Using Deep Neural Network Classifier”, Journal Of Electrical And Electronics Engineering, (2017):3311-3318 4. M. Abdar and M. Zomorodi-Moghadam, “Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms” Journal of AI and Data Mining, vol. 6, (2018). 5. Sleigh, J.W.; Olofsen, E.; Dahan, A.; de Goede, J.; Steyn-Ross, A. Entropies of the EEG: The effects of general anaesthesia. In Proceedings of the 5th International Conference on Memory, Awareness and Consciousness, New York, NY, USA, 1–3 June (2019) 6. Tsuda, M., Asano, S., Kato, Y., Murai, K., and Miyazaki, M. (2020). Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks. J. Neurol. Sci. 401, 19–26. https://doi.org/10.1016/j.jns.2019.04.014 7. Tysnes, O.-B., and Storstein, A. (2021). Epidemiology of Parkinson's disease. J. Neural Trans. 124, 901–905. https://doi:10.1007/s00702-017-1686-y 8. Parkinson J. An Essay on the Shaking Palsy. London: Sherwood, Neely, and Jones; 1817. pp. 1–16. Google Scholar 9. Twelves D, Perkins KS, Counsell C. Systematic review of incidence studies of Parkinson’s disease. Mov Disord. 2003;18:19–31. PubMed Google Scholar 10. 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- International Journal of Innovative Research in Information Security, 09 (2): 45-49 (May 2023)1 Muhammad Kamran, Muhammad Asif, Zeeshan Ahmed, and H.B. Kekre. Ä Secure and Reliable Face Recognition Based Attendance System Using Block chain." In IEEE International Conference on Computer, Communication and Control Technology (I4CT), pp.1-5.IEEE,2021. 2 P.K.Shukla, S.K.Srivastava, and A.K.Tiwari."Deep Learning Based Face Recognition System for Attendance Management." In IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), pp.466-470.IEEE,2021 https://doi.org/10.1109/rteict.2017.8256691 3 S.A. Hameed, Zeeshan Ahmed, and H.B. Kekre. "Privacy-Preserving Face Recognition for Attendance Systems." In IEEE International Conference on Computer, Communication and Control Technology (I4CT),pp.1-5.IEEE,2021. 4 Muhammad Asif, Zeeshan Ahmed, H.B. Kekre, and A.R. Naseer. Ä Survey of Face Recognition Techniques for Attendance System." In IEEE International Conference on Computer, Communication and Control Technology (I4CT),pp.1-5.IEEE,2020. 5 H.B.Kekre, S.R.Patil, and D.S. Dharaskar.Än Accurate and Efficient Face Recognition Based Attendance System." In IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI),pp.2265-2269.IEEE,2020. 6 E Varadharajan , R Dharani , S.Jeevitha, B Kavinmathi, S. Hemalatha “ Automatic Attendance Management system using face detection” at 2020 Department of InformationTechnology. https://doi.org/10.1109/get.2016.7916753 7 Shreyak Sawhney, Karan Kacker, Samayak Jain, Shailendra Narayan ,Rakesh Garg“Real Time Smart Attendance system using face recognition techniques “ in international conference on cloud computing data science and engineering 2019. https://doi.org/10.1109/confluence.2019.8776934.
- International Journal of Innovative Research in Information Security, 09 (2): 39-44 (May 2023)1. Gas booking system using VB software, Microcontroller and Gas Leakage Detection with SMS by Dr.D.B.Kadam,Sumedha shashikanth patil, Akshay Ananda Kumbhar, Rohit Ankush Tandle. 2. Gas Leakage Detection based on IoT using Raspberry Pi by Deepthi Miriyampalli , Ponnuri Anil Kumar , Abdul Khadir Shaik , Ravichandra Vipparla , Komalphanindra Potineni. 3. LPG Gas Leakage Detection System with GSM Module by Alan M John , Bhavesh Purbia , Ankit Sharma , Mrs. A.S Udapurkar. 4. Gas Leakage Detection Using GSM Module & Arduino with SMS Alert by Mr. Sivaprasad Lebaka, M. Ganga Rami Reddy,K. Devi Priya, N.V. Charan, N.V. Charan. 5. Gas Leakage Detection, prediction & Alert System Using Raspberry Pi & cloud computing by Pranav Mani Tripathi, Saket Kumar, Saksham Kumar, Veeresh Bhalke , Prof. Vidyashree K. 6. IoT Gas Leakage Detector and Warning Generator by Bader Farhan Alshammari , Muhammad Tajammal Chughtai. 7. J.Ding, J.Wang, N.Yuan, and Q.Pan, “The Monitoring System of Leakage Accidents in Crude Oil Pipeline based on Zigbee Technology”, IEEE Changzhou University. https://doi.org/10.1109/mace.2011.5987303.
- International Journal of Innovative Research in Information Security, 09 (2): 28-38 (May 2023)1 M. Fernando and J. Wijayanayaka, "Low cost approach for real time sign language recognition," 2013 IEEE 8th International Conference on Industrial and Information Systems, 2013, pp. 637-642, https://doi.org/10.1109/iciinfs.2013.6732059 2 M. Z. Islam, M. S. Hossain, R. ul Islam and K. Andersson, "Static Hand Gesture Recognition using Convolutional Neural Network with Data Augmentation," 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2019, pp. 324-329, https://doi.org/10.1109/iciev.2019.8858563 3 E. Kaya and T. Kumbasar, "Hand Gesture Recognition Systems with the Wearable Myo Armband," 2018 6th International Conference on Control Engineering & Information Technology (CEIT), 2018, pp. 1-6, https://doi.org/10.1109/ceit.2018.8751927 4 Lesha Bhansali and Meera Narvekar. Gesture Recognition to Make Umpire Decisions. International Journal of Computer Applications 148(14):26-29, August 2016. https://doi.org/10.5120/ijca2016911312 5 Suvarna Nandyal and Suvarna Laxmikant Kattimani 2021 J. Phys.: Conf. Ser. 2070 012148 6 Y. Madhuri, G. Anitha. and M. Anburajan., "Vision- based sign language translation device," 2013 International Conference on Information Communication and Embedded Systems (ICICES), 2013, pp. 565-568, https://doi.org/10.1109/icices.2013.6508395 7 Nusirwan Anwar bin Abdul Rahman, Kit Chong Wei and John See Faculty of Information Technology, Multimedia University. 8 Moin, A., Zhou, A., Rahimi, A. et al. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition. Nat Electron 4, 54–63 (2021). https://doi.org/10.1038/s41928-020-00510-8 9 Ravi, H. Venugopal, S. Paul and H. R. Tizhoosh, Ä Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features," 2018 IEEE SymposiumSeries on Computational Intelligence (SSCI), 2018, pp. 1396-1402, https://doi.org/10.1109/ssci.2018.8628877 10 M. A. Shahjalal, Z. Ahmad, R. Rayan and L. Alam, Än approach to automate the scorecard in cricket with computer vision and machine learning," 2017 3rd International Conference on Electrical Information and Communication Technology (EICT), 2017, pp. 1-6, https://doi.org/10.1109/eict.2017.8275204.
- International Journal of Innovative Research in Information Security, 09 (2): 21-27 (May 2023)1. Currency Recognition system using Image Processing. SANDEEP KUMAR CHAUBEY Andrew S. Morgan Kaufmann Publishers, 1995. 2. A Survey on Indian Currency Note Denomination Recognition System. Aruna Manpreet Bagga, Dr.Baljit Singh. 1995. 3. Dr. Baljith Singh, Aruna D H Indian currency note denomination system. 4. Ms. Monali Patil, Prof. Jayant Adhikari Detection of fake currency using digital image processing. 5. Arun Anoop M, Dr K.E. Kannammal Fake currency detection 6. Vidhi Roy and Sushanth Patil Fake Currency detection using image processing. 7. M. Deborah and Soniya Prathap Detection of Fake currency using edge detection. 8. Akash Rana, Avinash Kumar and Shivam Kumar Jha Detection of fake currency using machine learning technique. 9. Mayadevi, A. Gaikwad, Vaijinath, V. Bhosle and Vaibhav Currency note feature extraction. 10. Brinda M Object Detection using Haar-Like Feature Extraction..
