Shuaib, Thejesh, и Harish. International Journal of Innovative Research in Information Security, 09 (2):
45-49(мая 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.
Dhanalakshmi, Jayasurya, Manoj, и Manu. International Journal of Innovative Research in Information Security, 9 (2):
15-20(мая 2023)1 D. Pavithra; Ranjith Balakrishnan, “IOT based monitoring and control system for home automation”, IEEE Explore, Communication Technologies (GCCT). https://doi.org/10.1109/gcct.2015.7342646 2 Dr. M. Suresh, A. Amulya, M. Hari Chandana, P. Amani, T. Lakshmi Prakasam. “Anti theft flooring system using raspberry pi using” in Compliance Engineering journal, vol 12, no. 7, pp. 306 – 317, 2021. 3 Sonali Das, Dr. Neelanarayan, “ IOT Based Anti Theft Flooring System” in IJESC , vol 10, no.4, pp. 25463-25466,2020. 4 Siddalingesha G.R, H. M. Shamita, “IOT Based Anti Theft System for home” in IRJET, vol 8, no. 10, pp. 509 – 513, 2021. 5 Sanjana Kute, Ruthvik Pimpalkar, Shivajirao S, “Theft Detection System” in IRE Journals, vol 4, no 10, 2456 – 2462, 2021. 6 Gaurav Sable, Gaurav Sharma, Manish Bhalerao, Yash Ramugade, “IOT Based Theft Detection using Raspberry Pi” in IJIRT, vol 11, no 12, 2356 – 2360, 2022. 7 Mohd Musab, Ms. Seema Kaloria, Ankit Chhipa, Anand Sharma, Fardeen Mansoori, “IOT Based Anti-Theft Security System” in IJRTI, vol 7, no 6, pp. 106 – 109, 2022. 8 Santosh Mahale, Shivam Gujrathi, Pratik Bramhecha, Kalyani Bedarkar, Rohini Shinde, Yashraj Patil, “Anti-Theft Detection System” in IJIRSET, vol 9, no 4, pp. 1889 – 1895, 2020. 9 Sharnil Pandya, Hemant Ghayvat, Ketan Kotecha, Mohammed Awais, Saeed Akbarzadeh, Prosanta Gope , Subhas Chandra Mukhopadhyay and Wei Chen, “Smart Home Anti-Theft System” in applied system innovation, vol 1, no 42, pp. 1-22, 2018 https://doi.org/10.3390/asi1040042 10 Mr. Vikrant A. Agaskar, “ IOT BASED IOT Based Theft Detection” in IJCRT, vol 6, no 2, pp. 231 – 234, 2018..
A. Asif. International Journal of Innovative Research in Information Security, 8 (3):
27-33(августа 2021)1. Abdulkadir Sengur, “An expert system based on linear Discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases”, ELSEVIER, Expert Systems with Applications 35, 214-222, 12 June 2007. 2. Jain Yu, “General C-Means Clustering Model”, IEEE Transactions On Pattern Analysis And Machine Intelugence, VOL. 27, NO. 8, August 2005. 3. Meyer-Baese, O. Lange, A. wismueller, and M. K. Hurdal, “Analysis of Dynamic Susceptibility constrast MRI Time Series Based on Unsupervised Clustering Methods”, IEEE Transactions on Information Technology in Biomedicine, VOL. 11, NO. 5, September 2007. 4. Shaikh Abdul Hannan, "Heart Disease Diagnosis by using FFBP and GRNN algorithm of Neural Network", International Journal of Computer Science and Information Security, Vol 12, Number 6, June 2014, ISSN 1945-5500, United States of America. 5. Fraser, H.S.F., et al., “Differential diagnoses of the heart disease program have better sensitivity than Resident Physicians”, Tufts-New England Medical Center, Boston, MA(2001). 6. Mohammad Eid Alzaharani, Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”, Issue,1, Vol 5, , KKU Journal of Basic and Applied Sciences, Mar 2019 , Page 6-15. 7. Frawley and Piatetsky-Shapiro, 1996. Knowledge Discovery in Databases: An Overview. The AAAI/MIT Press, Menlo Park, C.A. 8. Aqueel Ahmed, Shaikh Abdul Hannan, “Data Mining Techniques to Find Out Heart Diseases: An Overview”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), An ISO 9001:2008 Certified International Journal, Volume-1, Issue-4, September 2012, ISSN: 2278-3075, New Delhi, India. 9. I. Turkoglu, A. Arslan, E. Ilkay, “An expert system for diagnosis of the heart valve diseases”, Expert Systems with Applications vol.23, pp. 229–236, 2002. 10. I. Turkoglu, A. Arslan, E. Ilkay, “An intelligent system for diagnosis of heart valve diseases with wavelet packet neural networks”, Computer in Biology and Medicine vol.33 pp.319–331, 2003. 11. Haque ME, Sudhakar KV. ANN back propagation prediction model for fracture toughness in microalloy steel. Int J Fatique 2002;24:1003–10. 12. Shaikh Abdul Hannan, A.V. Mane, R. R. Manza and R. J. Ramteke, “Prediction of Heart Disease Medical Prescription Using Radial Basis Function", IEEE International Conference on Computational Intelligence and Computing Research at Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India, ICCIC-2010, December 28-29, 2010. 13. P.I.J. Keeton, F.S. Schlindwein, Application of Wavelets in Doppler Ultrasound, vol. 17, number 1, MCB University Press, 1997, pp. 38–45. 14. I.A. Wright, N.A.J. Gough, F. Rakebrandt, M. Wahab, J.P. Woodcock, Neural network analysis of Doppler ultrasound blood low signals: a pilot study, Ultrasound in Medicine & Biology 23 (5) (1997) 683–690. 15. I. Guler, M.K. Kiymik, S. Kara, M.E. Yuksel, Application of autoregressive analysis to 20 MHz pulsed Doppler data in real time, International Journal Biomedical Computing 31 (3–4) (1992) 247–256. 16. Shaikh Abdul Hannan, "Heart Disease Diagnosis by using FFBP and GRNN algorithm of Neural Network", International Journal of Computer Science and Information Security, Vol 12, Number 6, June 2014, ISSN 1945-5500, United States of America. 17. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 – 8887), Pag 7-12, Volume 179 – No.46, June 2018. 18. https://www.who.int/en/news-room/fact sheets/detail/cardiovascular-diseases-(cvds) https://www.mayoclinic.org/diseases-conditions/stroke/symptoms-causes/syc-20350113. 19. Shaikh Abdul Hannan, “An Overview of Big Data and Hadoop”, International Journal of Computer Application”, Volume 154, Number 10, ISSN – 0975-887, November 2016, New York, USA. 20. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale " HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Information SecApplicatiion (IJCA), New York, USA. 21. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, (ETASR) Volume 9, No 1, Feb 2019, ISSN: 2241-4487, Greece. 22. Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” ” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India. 23. Yogesh Rajput, Shaikh Abdul Hannan, “Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions”, International Conference on Recent Trends in Image Processing and Pattern Recognition, Jan 2020, Springer, Singpore. 24. Y. M. Rajput, A. H. Hannan, M. E. Alzahrani, R. R. Manza, D. D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques–A Review”, International Journal of Computer Sciences and Engineering, Vol 6, Issue 9, Sep 2018. 25. Shaikh Abdul Hannan, Bharatratna P. Gaikwad, Ramesh Manza, "Brain Tumor from MRI Images : A Review". 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Tamayo, Credit risk assessment using statistical and machine learning: basic methodology and risk modeling applications, Computational Economics 15 (1 – 2) (2000) 107–143 31. V. Vapnik, The Nature of Statistical Learning Theory, Springer- Verlag, New York, 1995. 32. M.A. Hearst, S.T. Dumais, E. Osman, J. Platt, B. Scho¨lkopf, Support vector machines, IEEE Intelligent Systems 13 (4) (1998) 18– 28. 33. Broomhead D., & Lowe, D., Multivariable functional interpolation and adaptive networks. Complex Systems, vol.2, pp.321-355, 1988. 34. Haralambos Sarimveis, Philip Doganis, Alex Alexandridis, “A classification technique based on radial basis function neural networks”, Advances in Engineering Software vol.37, pp.218–221, 2006. 35. Shaikh Abdul Hannan, Pravin Yannawar, R.R. Manza and R.J. Ramteke, “Expert System Data Collection Technique for Heart Disease” , in IT & Business Intelligence, on 06-08 Nov 2009, Organised By IMT, Nagpur, India. 36. 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Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence, Prentice Hall, Upper Saddle River, New Jersey, USA; 1997 Chapter 9. 42. Shaikh Abdul Hannan, R. R. Manza and R.J. Ramteke, “Association Rules for Filtering The Medicine To Avoid Side Effects Of Heart Patients”, on 16 -19 Dec 2009, at Advances in Computer Vision and Information Technology – 09, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. 43. Anupriya Kamble, Abdul Hannan, Yogesh, Dnyaneshwari, “Association detection of Regular Insulin and NPH Insulin Using Statistical Features”, Second International Conference on Cognitive Knowledge Engineering, 21-23 December 2016 (ICKE-2016), Aurangabad, Maharashtra, India, pp 59-62, ISBN 978-93-80876-89-4. 44. Shaikh Abdul Hannan, Pravin Yannawar, R. R. Manza and R.J. Ramteke, “Data Mining Technique for Detection of Cardiac Problems Using Symptoms Medicine and Its Side effects”, in IT & Business Intelligence -09 , in IT & Business Intelligence, on 06-08 Nov 2009, Organized By IMT, Nagpur, India. 45. Shaikh Abdul Hannan, Jameel Ahmed, Naveed Ahmed, Rizwan Alam Thakur, “Data Mining and Natural Language Processing Methods for Extracting Opinions from Customer Reviews”, International Journal of Computational Intelligence and Information Security, pp 52-58, Vol. 3, No. 6, July 2012. ( ISSN: 1837-7823). 46. Ordonez C,” Association rule discovery with the train and test approach for heart disease prediction”, IEEE Transactions on Information Technology in Biomedicine, P(334 – 343), April 2006 47. Aqueel Ahmed, Shaikh Abdul Hannan, “Data Mining Techniques to Find Out Heart Diseases: An Overview”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), An ISO 9001:2008 Certified International Journal, Volume-1, Issue-4, September 2012, ISSN: 2278-3075, New Delhi, India. 48. AbuKhousa, E “Predictive data mining to support clinical decisions: An overview of heart disease prediction systems”, IEEE Transaction on Innovations in Information Technology (IIT), pp(267 - 272) March 2012..
D. Rao, K.G.J.Prasanth, и M. Rao. International Journal of Innovative Research in Information Security, VIII (II):
06-09(июля 2021)1. Door Unlock using Face Recognition (Abdul Azeem, Sathuluri Mallikarjun Rao,Kandula Rama Rao, Shaik Akbar Basha, Harsha Pedarla, Modela Gopi) 2. Facial Recognition Enabled Smart Door Using Microsoft Face API (Karan Maheshwari , Nalini N) 3 Automated door access control system using face recognition (Tejas Saraf, Ketan Shukla, Harish Balkhande, Ajinkya Deshmukh) 3. Facial recognition enabled smart door unlock system(M Vamsi Krishna, A Bhargav Reddy, V Sandeep) 4. Smart Door with Face UnlockApache2.0 (https://create.arduino.cc) (Divins Mathew) 5. Makers Pro Projects(Simple Door Lock Using Face recognition Solenoid Lock)(Muhammad Aqib).
Utkarsh, Sudhanshu, Devansh, Parth, и Ajay. International Journal of Innovative Research in Information Security, Volume VII (Issue IV):
42(46 2020)1. Dudgeon, D.E. and R.M. Mersereau, Multidimensional Digital Signal Processing. 1984, Englewood Cliffs, New Jersey: Prentice-Hall. 2. Castleman, K.R., Digital Image Processing. Second ed. 1996, Englewood Cliffs, New Jersey: Prentice-Hall. 3. Oppenheim, A.V., A.S. Willsky, and I.T. Young, Systems and Signals. 1983, Englewood Cliffs, New Jersey: Prentice-Hall. 4. Papoulis, A., Systems and Transforms with Applications in Optics. 1968, New York: McGraw-Hill. Russ, J.C., The Image Processing Handbook. Seconded. 1995, Boca Raton, Florida: CRC Press. 5. Giardina, C.R. and E.R. Dougherty, Morphological Methods in Image and Signal Processing. 1988, Englewood Cliffs, New Jersey: Prentice- Hall . 321. 6. Gonzalez, R.C. and R.E. Woods, Digital Image Processing. 1992, Reading, Massachusetts: Addison-Wesley. 716. 7. Goodman, J.W., Introduction to Fourier Optics. McGraw-Hill Physical and Quantum Electronics Series. 1968, New York: McGraw-Hill. 287..
Narayana, Deeksha, и Madhumathy. IJIRIS:: International Journal of Innovative Research in Information Security, Volume V (Issue IX):
465-470(сентября 2018)1. Hussein T. Mouftah Khaled A. Ali, "Wireless personal area networks architecture and protocols for multimedia applications," Ad Hoc Networks, vol. 9, pp. 675–686, 2011. 2. Prashant Pillai, Vince W.C. Chook, Stefano Chessa, Alberto Gotta,Y. Fun Hu Paolo Baronti, "Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards," Computer Communications, vol. 30, pp. 1655–1695, 2007. 3. ZigBee Alliance, ZigBee Specification, January.2008, ZigBee Document 053474r17. 4. Kamaran Javed , “ZigBee suitability for Wirelee Sensor Networks in Logistic Telemetry Applications”, School of information Science,Computer and Electrical Engineering, Jan 2006 5. Ricardo Augusto Rodrigues da Silva Severino, Ön the use of IEEE 802.15.4/ZigBee for Time-Sensitive Wireless Sensor Network Applications," Polytechnic Institute of Porto, 2008. 6. F. Cuomo et al., Cross-layer network formation for energy-efficient IEEE 802.15.4/ZigBee Wireless Sensor Networks, Ad Hoc Netw. (2011). 7. Standard for part 15.4: Wireless MAC and PHY specifications for low rate WPAN, IEEE Std 802.15.4, IEEE, New York, NY (Oct 2003). 8. Vijay Anand Sai Ponduru Archana Bharathidasan, "Sensor Networks: An Overview," Department of Computer Science, University of California, Davis, CA 95616,. 9. Nidhi Patel, Hiren Kathiriya , Arjav Bavarva , “Wireless Sensor Network using ZigBee “,Intenational Journal of Research in Engineering and Technology, Vol 2, Issue 6, Jun 2013 10. A. Geetha , “Intelligent Helmet for Coal Minors with voice over ZigBee and Environmental Monitoring” , Middle East Journal of Scentific Research , ISSN 1990-9233,IDOSI Publications 2014. 11. Action Nechibvute, Courage Mudzingw, “Wireless Sensor Networks for SCADA and Industrial Control Systems” , International Journal of Engineering and Technology , Vol 3 No. 12, Dec2013. 12. Hariprabha .V, Vasantharathna .S, “Monitoring and control of food storage depots using Wireless Sensor Network” , International Journal of Industrial Electronics and Electrical Engineering, ISSN 2437-6982,Vol 2 Issue 6 June 2014. 13. Dipali K Shende , Arun K Mane , Rahul K More , Nikel M Nawale , “ARM 7 based Wireless Data Transmission using ZigBee” , International Journal of Innovative research in Electrical, Electronics , Instrumentation and Control Engineering, Vol3 Issue 5, may 2015..