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كل ما تحتاجه من أستاذك… في مكان واحد

د.توفيل فايابوري تانغام تانغام

Fellow in HEA, UK and “PSP/TSP” from SEI أستاذ مشارك كلية هندسة وعلوم الحاسب بالخرج

الخرج
011-588-+966536490543
t.thangam@psau.edu.sa

السيرة الذاتية
الأبحاث العلمية

الأبحاث العلمية

[1] Thavavel Vaiyapuri. Deep learning enabled autoencoder architecture for collaborative filtering recommendation in iot environment. Computers, Materials & Continua, 68(1): 487–503, 2021. ISSN 1546-2226. https://www.techscience.com/cmc/v68n1/41833
[2] Thavavel Vaiyapuri and Adel Binbusayyis. Application of deep autoencoder as an one- class classifier for unsupervised network intrusion detection: a comparative evaluation. PeerJ Computer Science, 6:e327, 2020. https://doi.org/10.7717/peerj-cs.327
[3] Adel Binbusayyis and Thavavel Vaiyapuri. Unsupervised deep learning approach for net- work intrusion detection combining convolutional autoencoder and one-class svm. Ap- plied Intelligence, pages 1–15, 2021. https://doi.org/10.1007/s10489-021-02205-9
[4] Thavavel Vaiyapuri and Haya Alaskar. Whale optimization for wavelet-based un- supervised medical image segmentation: Application to ct and mr images. Interna- tional Journal of Computational Intelligence Systems, 13(1):941–953, 2020. https: //doi.org/10.2991/ijcis.d.200625.001
[5] Adel Binbusayyis and Thavavel Vaiyapuri. Identifying and benchmarking key features for cyber intrusion detection: An ensemble approach. IEEE Access, 7:106495–106513, 2019. https://doi.org/10.1109/access.2019.2929487
[6] Thavavel Vaiyapuri. et al. Automatic vehicle license plate recognition using optimal deep learning model. Computers, Materials & Continua, 67(2):1881–1897, 2021. ISSN 1546-2226. https://doi.org/10.32604/cmc.2021.014924
[7] Thavavel Vaiyapuri. et al. Security, privacy and trust in iomt enabled smart healthcare system: A systematic review of current and future trends. International Journal of Advanced Computer Science and Applications, 12(2):731–737, 2021. https://doi.org/ 10.14569/ijacsa.2021.0120291
[8] Bassam AY Alqaralleh and Thavavel et al Vaiyapuri. Blockchain-assisted secure image transmission and diagnosis model on internet of medical things environment. Personal and Ubiquitous Computing, pages 1–11, 2021. https://doi.org/10.1007/ s00779-021-01543-2
[9] Bassam AY Alqaralleh, Sachi Nandan Mohanty, Deepak Gupta, Ashish Khanna, K Shankar, and Thavavel Vaiyapuri. Reliable multi-object tracking model using deep learning and energy efficient wireless multimedia sensor networks. IEEE Access, 8: 213426–213436, 2020. https://doi.org/10.1109/access.2020.3039695
[10] Thavavel Vaiyapuri, Velmurugan Subbiah Parvathy, V Manikandan, N Krishnaraj, Deepak Gupta, and K Shankar. A novel hybrid optimization for cluster-based routing protocol in information-centric wireless sensor networks for iot based mobile edge computing, 2021. https://doi.org/10.1007/s11277-021-08088-w
[11] Adel Binbusayyis and Thavavel Vaiyapuri. Comprehensive analysis and recommenda- tion of feature evaluation measures for intrusion detection. Heliyon, 6(7):e04262, 2020. https://doi.org/10.1016/j.heliyon.2020.e04262
[12] Thavavel Vaiyapuri. A new automated approach for early lung cancer detection with improved diagnostic performance–a preliminary analysis. Indian Journal of Forensic Medicine & Toxicology, 14(2):1968–1973, 2020. https://doi.org/10.37506/ijfmt. v14i2.3227
[13] Shabana R Ziyad, Venkatachalam Radha, and Thavavel Vayyapuri. Overview of computer aided detection and computer aided diagnosis systems for lung nodule detection in computed tomography. Current Medical Imaging, 16(1):16–26, 2020. https://doi.org/10.2174/1573405615666190206153321
[14] V Thavavel and M Karthiyayini. Hybrid feature selection framework for identification of alzheimers biomarkers. Indian J. Sci. Technol, 11(22):1–10, 2018. https://dx.doi. org/10.17485/ijst/2018/v11i22/123310
[15] Benneaser John, V Thavavel, Jayakumar Jayaraj, A Muthukumar, and Poornasel- van Kittu Jeevanandam. Design of open content social learning that increases lear- ning efficiency and engagement based on open pedagogy. Turkish Online Journal of Educational Technology-TOJET, 15(1):20–32, 2016.
[16] V Thavavel. Improving computing graduates writing skill using constructivism based blended learning model–an action research study. IOSR J. Res. Method Educ. Ver. I, 5(3):2320–7388, 2015
[17] V Thavavel, J Jaffer Basha, Murali C Krishna, and R Murugesan. Heuristic wavelet approach for low-dose epr tomographic reconstruction: An applicability analysis with phantom and in vivo imaging. Expert Systems with Applications, 39(5):5717–5726, 2012. https://doi.org/10.1016/j.eswa.2011.11.098
[18] V Thavavel, J Jaffer Basha, and R Murugesan. Withdrawn: A novel intelligent wavelet domain noise filtration technique: Application to medical images, 2010
[19] V Sujatha, M Punithavalli, and V Thavavel. Applicability of ensemble clustering and ensemble classification algorithm for user navigation pattern prediction. Journal of Artificial Intelligence, 6(3):210, 2013
[20] SC Punitha, V Thavavel, and M Punithavalli. A new hybrid schemes combining ontology and clustering for text documents. Information Technology Journal, 12(12): 2447, 2013
[21] TR Sivapriya, AR Nadira Banu Kamal, and V Thavavel. Automated classification of dementia using pso based least square support vector machine. International Journal of Machine Learning and Computing, 3(2):181, 2013
[22] S PITCHUMANI ANGAYARKANNI, NADIRA BANU KAMAL, and V Thavavel. Mammogram mri image segmentation and classification. Journal of Theoretical & Applied Information Technology, 57(2), 2013
[23] E Chandra Blessie, DRE Karthikeyan, and DRV Thavavel. Improving classifier performance by imputing missing values using discretization method. International Journal of Engineering Science and Technology, 2012
[24] Banu Kamal and Mrs V Thavavel. A novel approach for automatic detection of cancerous masses in mammogram mri. International Journal of Engineering Research and Technology, 1(4):1–9, 2012
[25] V Thavavel and S Sivakumar. A generalized framework of privacy preservation in distributed data mining for unstructured data environment. International Journal of Computer Science Issues (IJCSI), 9(1):434, 2012
[26] TR Sivapriya, ANB Kamal, and V Thavavel. Imputation and classification of missing data using least square support vector machines–a new approach in dementia diagnosis. International journal of advanced research in artificial intelligence, 1(4):29–33, 2012
[27] V Thavavel and S Siva Kumar. A survey on privacy preservation in distributed data mining for unstructured data environment. Journal of Computer and Mathematical Sciences Vol, 3(1):1–130, 2012
[28] V Thavavel and R Murugesan. Regularized computed tomography using complex wavelets. International Journal of Magnetic Resonance Imaging, 1(1):27–32, 2007
[29] R Murugesan, V Thavavel, and B Meenakshi Sundaram. Dual tree complex wavelet based regularized deconvolution for medical images. threshold, 2(1):7
[30] Ram Murugesan and V Thavavel. A two-phase scheme for microarray image restoration. Journal of Information and Computing Science, 2(4):317–320, 2007
[31] “ROC Curve Assessment on Cancer Diagnostic Performance by a Classifier”, European Journal of Scientific Research, vol.95(3), pp.400-407, January-2013.
[32] “A Review on Cloud Data Mining and Data Integrity”, International Journal of Data Mining and Knowledge Engineering, vol.5, March-2013.
“An Intelligent Clustering based Segmentation using Wavelet Frames: Application to Medical Images”, MIDAS Journal of Medical Imaging and computing.
[33] “Improving Binding Affinities of Continuum Solvent Energy Model of Podophyllotoxin Analogues using GA, RBFNN for Prediction of Cytotoxic Activity”, International Journal of Pharmaceutical Research and Development, vol.3(10), pp.80-97, December- 2011

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