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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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- IJIRIS:: International Journal of Innovative Research in Information Security, Volume V (Issue VIII): 475-485 (October 2018)1. Chalom, Edmond, Eran Asa, and Elior Biton. "Measuring image similarity: an overview of some useful applications." IEEE Instrumentation & Measurement Magazine 16.1 (2013): 24-28. 2. Chandler, Damon M. "Seven challenges in image quality assessment: past, present, and future research." ISRN Signal Processing 2013 (2013). 3. Chandler, Damon M., Md Mushfiqul Alam, and Thien D. Phan. "Seven challenges for image quality research." Human Vision and Electronic Imaging XIX. Vol. 9014. International Society for Optics and Photonics, 2014. 4. Lajevardi, Seyed Mehdi, and Zahir M. Hussain. "Zernike moments for facial expression recognition." rn 2 (2009): 3. 5. Lajevardi, Seyed Mehdi, and Zahir M. Hussain. "Higher order orthogonal moments for invariant facial expression recognition." Digital Signal Processing 20.6 (2010): 1771-1779. 6. Pass, Greg, and Ramin Zabih. "Comparing images using joint histograms." Multimedia systems 7.3 (1999): 234-240. 7. Shnain, Noor Abdalrazak, Zahir M. Hussain, and Song Feng Lu. Ä feature-based structural measure: An image similarity measure for face recognition." Applied Sciences 7.8 (2017): 786. 8. Wang, Zhou, et al. "Image quality assessment: from error visibility to structural similarity." IEEE transactions on image processing 13.4 (2004): 600-612. 9. Zhang, Lin, et al. "FSIM: a feature similarity index for image quality assessment." IEEE transactions on Image Processing20.8 (2011): 2378-2386. 10. Aljanabi, Mohammed Abdulameer, Zahir M. Hussain, and Song Feng Lu. Än entropy-histogram approach for image similarity and face recognition." Mathematical Problems in Engineering 2018 (2018). 11. Aljanabi, Mohammed Abdulameer, Noor Abdalrazak Shnain, and Song Feng Lu. Än image similarity measure based on joint histogram—Entropy for face recognition." Computer and Communications (ICCC), 2017 3rd IEEE International Conference on. IEEE, 2017. 12. Hwang, Sun-Kyoo, and Whoi-Yul Kim. Ä novel approach to the fast computation of Zernike moments." Pattern Recognition 39.11 (2006): 2065-2076. 13. Canny, John. Ä computational approach to edge detection." IEEE Transactions on pattern analysis and machine intelligence 6 (1986): 679-698. 14. Picard, C. F. "The use of information theory in the study of the diversity of biological populations." Proc. Fifth Berk. Symp. IV. 1979. 15. Ponomarenko, Nikolay, et al. "TID2008-a database for evaluation of full-reference visual quality assessment metrics." Advances of Modern Radioelectronics 10.4 (2009): 30-45. 16. Ninassi, A., P. Le Callet, and F. Autrusseau. "Subjective quality assessment-IVC database." online http://www. irccyn. ec-nantes. fr/ivcdb (2006). 17. “Laboratories, A.T. The Database of Faces,” http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html 18. “FEI Face Database,” http://fei.edu.br/∼cet/facedatabase.html.
- IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue VII): 58-68 (July 2020)1. Adekola, O.G. (2013). New perspective to Nigeria’s foreign policy towards China, IOSR journal of humanities and social science, 6 (5), 01-06 2. Akeem, U.O. (2011), Performance evaluation of foreign trade and economic growth in nigeria, Journal of Finance and Accounting vol.2, No 2, 2222-2847 3. Alexandre Mercier, (2007).‘Commercial diplomacy in advanced industrial states’, Discussion Papers in Diplomacy, No. 108 (The Hague: Netherlands Institute of International Relations ‘Clingendael’, 4. Asongu, S. A., & Aminkeng, G. A. A., (2013). “The economic consequences of China-Africa relations: debunking myths in the debate”, Journal of Chinese Economic and Business Studies, 11(4), pp. 261-277. 5. Breinlich, H., Mion, G., Nolan, P. and D. Novy (2012), "Intellectual Property, Overseas Sales, and the Impact of UKTI Assistance in Entering New Overseas Markets", Report to UKTI. 6. Carmody, P., &Owusu, F., (2007). “Chinese vs. America geoeconomic strategies in Africa”,Political Geography, Political Geography, 26, pp. 504-524. 7. DayoAiyetan, (2010). “How China Fuels Deforestation In Nigeria, West Africa,” International Centre for Investigative Reporting (Nigeria), 8. Garten J., Zoellick R., Shinn J. (1998), Riding the Tigers: American Commercial Diplomacy in Asia, Columbia International Affairs online, Columbia University Press, 9. Harris R. and Li Q. (2005). Review of Literature: Review of the Literature: The Role of International Trade and Investment in Business Growth and Development, United Kingdom of Great Britain, Richard Harris & Q. Cher Li (copyright). 10. Helmers C., Rogers, M. and P. Schautschick (2011), “Intellectual Property at the Firm-Level in the UK”, Oxford University, Department of Economics Working Paper No. 546. 11. Kopp, Harry W., (2004), Commercial Diplomacy and the National Interest, Amercian Academy of Diplomacy/ Business Council for International Understanding 12. Kostecki M., Brossard H., Furrer O. Gramigna M. (1994) L’image des services suisses: Enjeux et proposition d’action, Die Unternehmung, Zurich, 1/94, 35-50. 13. Kotabe, M., and Czinkota, M. R. (1992). "State government promotion of manufacturing exports: A gap analysis", Journal of International Business Studies, 23(4), 637-658. 14. Maaike Okano-Heijmans(2010). ‘Hantering van het begrip economische diplomatie’, Internationale Spectator, Vol. 64, No. 5 pp. 73-74; Maaike Okano-Heijmans and Huub Ruel, ‘Commerciële diplomatie en internationaal ondernemen’, Internationale Spectator, Vol. 65, No. 9 (2011). 15. Michel Kostecki and Olivier Naray(2007). ‘Commercial diplomacy and international business’, Discussion Papers in Diplomacy, No. 107 (The Hague: Netherlands Institute of International Relations ‘Clingendael’, 16. Naray, O. (2008). Commercial Diplomacy: A Conceptual Overview." Conference paper for the 7th World Conference of TPOs – The Hague, The Netherlands. 17. Naray, O. (2010). What a good Commercial Diplomat has to know and be capable of",Exchange: The Magazine for International Business and Diplomacy, 2 (December 2010): 8-9. 18. Ogunkola, A. S. Bankole and A. Adewuyi,(2008), China-Nigeria economic relations: AERC scoping studies on China-Africa relations, a revised report submitted the Africa economic research consortium (AERC), University of Ibadan, Ibadan, Nigeria, 2008, 3-16 19. Reuvers, S. and Ruel, H. J. M., (2012)."Research on Commercial Diplomacy: Review and Implications" in Commercial Diplomacy and International Business: a conceptual and empirical exploration, Ruel, H. J. M., ed. (Advanced series in Management, Emerald, 20. Ruel, H. J. M. and Visser, R. (2012). Commercial Diplomats as corporate entrepreneurs: explaining role behavior from an institutional perspective", International Journal of Diplomacy and Economy. 21. Saner R. and Yiu L. (2003), International economic diplomacy: Mutations in post-modern times, Discussion Papers in Diplomacy,84, The Hague, Clingendael Institute. 22. Taylor, I., (2007). “Governance in Africa and Sino-Africa Relations: Contradictions or Confluence?”, Politics, 27(3), pp. 139-146. 23. Utomi, P. (2012). China and Nigeria, , retrieved from http://080603_utomi_nigeriachina, September 2013.
- International Journal of Innovative Research in Information Security, 7 (9): 99-104 (October 2020)1. Frase, H.S.F., et.al., “Comparing complex diagnoses a formative evolution of the heart disease program”, MIT Lab for Computer Science, Cambridge, MA(2001) 2. Salem, A.M. Raushdy, M and HodHod, R.A., “ A rule based expert system for diagnosis of Heart disease”, 8th International conference on soft Computing MENDEL, Brno, Czech Republic, June 5-7, PP 258-263(2002). 3. Shaikh Abdul Hannan, V. D. Bhagile, R. R. Manza, R. J. Ramteke, "Development of an Expert System for Diagnosis and appropriate Medical Prescription of Heart Disease Using Support Vector Machine and Radial Basis Function", International Journal of Computer Science and Information Security, (IJCSIS) August issue (Vol. 8 No. 5), 2010, Pages/record No.: 245-254. ISSN: 19475500. 4. I. Turkoglu, A. Arslan, E. Ilkay, “An expert system for diagnosis ofhe heart valve diseases”, Expert Systems with Applications vol.23,pp. 229–236, 2002. 5. 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. 6. Mrs. Bharati M. Ramageri, “Data Mining Techniques And Applications”,Bharati M. Ramageri / Indian Journal of Computer Science and Engineering Vol. 1 No. 4 pp 301-305. 7. 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. 8. Rajeswari K, Vaithiyanathan V, P. Amirtharaj “Application of Decision Tree Classifiers in Diagnosing Heart Disease using Demographic Data” American Journal of Scientific research ISSN 2301-2005 pp. 77-82 EuroJournals Publishing, 2012. 9. 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). 10. Haque ME, Sudhakar KV. ANN back propagation prediction model for fracture toughness in microalloy steel. Int J Fatique 2002;24:1003–10. 11. 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. 12. Celikoglu HB. Application of radial basis function and eneralized regression neural networks in non-linear utility function specification for travel mode choice modelling. Math Comput Model 2006;44:640–58. 13. 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. 14. 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 Application (IJCA), New York, USA. 15. Kusuma.S1, Divya Udayan, “Machine Learning and Deep Learning Methods in Heart Disease (HD) Research, International Journal of Pure and Applied Mathematics, Volume 119 No. 18 2018, 1483-1496, ISSN: 1314-3395 (on-line version)url:http://www.acadpubl.eu/hub/Special Issue. 16. 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. 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. 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. 19. Yogesh, Abdul Hannan, Rahul Sagar, Kishor Jave, Identification and Counting Trees from Oil Palm Plantations Using Digital Image Processing Techniques, International Journal of Engineering Research & Technology (IJERT), Vol. 6 Issue 05, May – 2017, ISSN: 2278-0181. 20. C.Sowmiya, Dr.P.Sumitra, “Analytical Study of Heart Disease Diagnosis Using Classification Techniques” 2017 IEEE International Conference On Intelligent Techniques In Control, Optimization And Signal Processing, 978-1-5090-4778-9/17/$31.00 ©2017 IEEE. 21. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, K. V. Kale “Review on HRV based Prediction and Detection of Heart Disease” International Journal of Computer Application(IJCA), Vol. 179, Number 46, June 2018, ISSN 0975-8887, USA. 22. Rifki Wijaya, Ary Setijadi Prihatmanto,et.al “Preliminary Design of Estimation Heart disease by using machine learning ANN within one year” , 2013 Joint International Conference on Rural Information & Communication Technology and Electric-Vehicle Technology (rICT & ICeV-T) November 26-28, 2013, Bandung-Bali, Indonesia, 978-1-4799-3365-5/13/$31.00 ©2013 IEEE. 23. Yogesh, Abdul Hannan, Rahul Sagar, Kishor Jave, Identification and Counting Trees from Oil Palm Plantations Using Digital Image Processing Techniques, International Journal of Engineering Research & Technology (IJERT), Vol. 6 Issue 05, May – 2017, ISSN: 2278-0181. 24. Mahammed Waseem, Naushad Ahmed Osmani, Shaikh Abdul Hannan, “A Survey on E-education of information and Communication ‘Technology”, European Journal of Computer Science and Information Technology (EJCSIT), Vol. 4, Issue 6, ISSN 2054-0965, October 2016. 25. H. Uguz, A. Arslan, I. Turkoglu, Ä biomedical system based on hidden Markov model for diagnosis of the heart valve diseases", Pattern Recognition Letters vol.28 pp.395–404, (2007). 26. Mr.Deepak.C.Dhanwani,et.al.,"Survey on Various Techniques of Brain Tumor Detection from MRIImages", International Journal of Computational Engineering Research Vol, 04,Issue, 1,January-2014. 27. Shaikh Abdul Hannan, Bharatratna P. Gaikwad, Ramesh Manza, "Brain Tumor from MRI Images : A Review". International Journal of Scientific and Engineering Research (IJSER), Volume 5, Issue 4, April-2014 ISSN 2229-5518, France. 28. 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. 29. M. J. Baheti, A. V. Mane, Shaikh Abdul Hannan, K. V. Kale, “Comparison of PCA and SVM for a west Indian Script- Gujarati”, CiiT Journal of Digital Image Processing, Vol. 3. No. 11, pp. 709-715, July 2011. 30. Karaolis, M.A. Moutiris, J.A. Hadjipanayi, D. Pattichis, C.S., “Assessment of the Risk Factors of Coronary Heart Events Based on Data Mining With Decision Trees” IEEE Transactions on Information Technology in Biomedicine, pp 559 -566, May 2010. 31. Nikhil Gawande , Alka Barhatte , Heart Diseases Classification using Convolutional Neural Network, Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES), IEEE, 2017. 32. Mir Arif Ali, Shaikh Abdul Hannan, Ä Review on Modern and Classical Encryption Techniques", International Journal of Engineering Trends and Technology, Volume 12, Number 4, June 2014, ISSN 2231-5381, India. 33. Aufzalina Mohd Yusof, Nor Azura Md. Ghani, Khairul Asri Mohd Ghani, Khairul Izan Mohd Ghani, A predictive model for prediction of heart surgery procedure, Indonesian Journal of Electrical Engineering and Computer Science Vol. 15, No. 3, September 2019. 34. Amin Ul Haq, Jian Ping Li, Muhammad Hammad Memon, Shah Nazir, Ruinan Sun, A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms, Hindawi Mobile Information Systems Volume 2018. 35. X. Li, J. Chen, G. Zhao and M. Pietikainen, “Remote Heart Rate Measurement from Face Videos under Realistic Situations”, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp. 4264- 4271, 2014. 36. 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. 37. Y. Pei, S. Zhao, X. Yang, J. Cao and Y. Gong, “Design Optimization of a SRM Motor by a Nature-Inspired Algorithm: Multi-Verse Optimizer”, Proceedings of IEEE International Conference on Industrial Electronics and Applications, pp. 1870-1875, 2018. 38. Shaikh Abdul Hannan, V.D. Bhagile, R. R. Manza and R.J. Ramteke, “Expert System for Diagnosis and Appropriate Medical Prescription of Heart Disease Using Radial Basis Function”, CiiT International Journal of Artificial Intelligent Systems and Machine Learning, Vol 2, No 8 (2010), pp 184-193, ISSN 0974–9667. 39. Durairaj M, Revathi V, “Prediction Of Heart Disease Using Back Propagation MLP Algorithm”, International Journal of Scientific and Technology Research, Volume 4, Issue 8, August 2015..
- IJIRIS::International Journal of Innovative Research in Information Security, 3 (3): 22-27 (March 2016)
- International Journal of Innovative Research in Information Security, 8 (3): 27-33 (August 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". International Journal of Scientific and Engineering Research (IJSER), Volume 5, Issue 4, April-2014 ISSN 2229-5518, France. 26. Eliane Rich and KevinKnight – Artificial Intelligence – Secone Edition Mcgraw Hill , 1983. 27. Long, W., et.al., “Developing a program for Tracking Heart Failure”, MIT Lab for Computer Science, Cambridge, MA(2001). 28. Frase, H.S.F., et.al., “Comparing complex diagnoses a formative evalution of the heart disease program”, MIT Lab for Computer Science, Cambridge, MA(2001) 29. 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. 30. J. Galindo, P. 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. 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. 37. Chauvin in, Y and D.E. Ruumehart Backpropagation : Theory, Architechtures and Applications, Erbaum Mahwah, NJ, ISBN : 080581258. PP 561, 1995. 38. Shaikh Abdul Hannan, V. D. Bhagile, R.R. Manza, R. J. Ramteke, “Heart Disease Diagnosis By Using FFBP algorithm of Artificial Neural Network”, International Conference on Communication, Computation, Control and Nanotechnology, ICN-2010 Organized by Rural Engineering College Bhalki-585328, during October 29-30, 2010. 39. Cigizoglu HK, Alp M. Generalized regression neural network in modelling river sediment yield. Adv Eng Software 2005;37:63–8. 40. Kim B, Lee DW, Parka KY, Choi SR, Choi S. Prediction of plasma etching using a randomized generalized regression neural network. Vacuum 2004;76:37–43 41. Jang JSR, Sun CT, Mizutani E. 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..
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- IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue VIII): 76-80 (August 2020)1. Seenivasagam V, Velumani R, “A QR code based zero-watermarking scheme for authentication of medical images in teleradiology cloud,” Computational and mathematical methods in medicine, 2013. 2. Parah S A , Sheikh J A , Ahad F , et al, “Information hiding in medical images: a robust medical image watermarking system for E-healthcare, “Multimedia Tools & Applications, vol. 76,no.8, pp.1-35.,2017 3. Aparna, Puvvadi , and P. V. V. Kishore , “Biometric-based efficient medical image watermarking in E-healthcare application,”IET Image Processing,vol .13,no.3 , pp.421-428,2019. 4. Aparna, Puvvadi , and P. V. V. Kishore , “An iris biometric-based dual encryption technique for medical image in e-healthcare application,” International Journal of Computational Vision and Robotics, vol.10,no.1,2020,:. 5. Raul R C, Claudia F U, Trinidad-Bias G J, “ Data Hiding Scheme for Medical Images,” Electronics, Communications and Computers, 2007. CONIELECOMP '07. 17th International Conference on. IEEE, pp.32-32,2007. 6. Singh A K, Kumar B, Dave M, et al , “Robust and imperceptible dual watermarking for telemedicine applications,” Wireless Personal Communications, vol.80,no.4, pp.1415-1433,2015 7. Aparna, Puvvadi , and P. V. V. Kishore , “A blind medical image watermarking for secure e-healthcare application using crypto-watermarking system,” Journal of Intelligent Systems ,2019. 8. Singh A K, Kumar B, Dave M, et al, “ Multiple watermarking on medical images using selective discrete wavelet transform coefficients,” Journal of Medical Imaging & Health Informatics, vol 5,no.3, pp.607-614,2015. 9. Ghouti, Lahouari , “ Robust perceptual color image hashing using randomized hypercomplex matrix factorizations,” Multimedia Tools and Applications ,vol77,no15,pp:19895-19929,2018 10. Cui, Yan , et al, “Supervised discrete discriminant hashing for image retrieval,” Pattern Recognition ,vol78,pp:79-90,2018.
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- IJIRIS:: International Journal of Innovative Research in Information Security, 2017 (2): 14-27 (February 2017)
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