[1]  Fatima  Ansari,  Ulde  Maqsood  Ahmad,  Kali  Saqlain,  Shaikh  Mohammed  Sohail,  “Implementing  an 

Automated System for Exam Cell Department”, 2017 Imperial Journal of Interdisciplinary Research (IJIR), 17-18 March 2017. Available only at URL: https://ieeexplore.ieee.org/document/8275941/

[2]  Sejal  Dmello,  Ashraf  Pinjari,  Harishchandra  Damre,  Aishwarya  Sankhe,  Vrushali  Ambre,  “Exam  Cell 

Automation System”, IOSR Journal of Engineering, ISSN(e): 2250-3021, ISSN(p): 2278-8719, pp. 41-43. 

[3]  Sowmiya.  S,  Sivakumar.  V,  Kalaimathi.  M,  Kavitha.  S.  V,  “Automation  of  Exam  Hall  Seating 

Arrangement”, International Journal of Advance Research, Ideas and Innovations in Technology (IJARIIT) 

[4]  S.  Priyadharshini,  M.  Selvasudha,  V.  Anithalakshmi,  “Exam  Cell  Automation  System”,  International 

Journal of Engineering Science and Computing, March 2017. 

[5]  Pooja  Sharma,  Reshma  Shetty,  Gayatri  Yadkikar,  Dhanashri  Kanade,  “College  Automation  System”, 

International  Journal  for  Innovative  Research  in  Science  &  Technology,  Volume  2,  Issue  10,   March  2016, 

ISSN (online): 2349-6010. 

[6]  Vamsi Krishna Yepuri, Gopi Chand Pamu, Naveen Kodali , Pradyumna L V, “Examination Management 

Automation System”, 2018, International Research Journal of Engineering and Technology (IRJET)

[7]  Bondre Rutuja Avinash, Durgi Varsha Vijaykumar, Mohite Pradnesh Rajeev, Parkar Vishal V, “Automated

Examination  Support  System”,  International  Journal  of  Current  Engineering  and  Technology,  Volume  5,  Issue

2, April 2015, Pages 754-757.

[8]  https://nevonprojects.com/exam-cell-automation-system

[9]  Bilal H. Hungund, Anas Shaikh, Ghazi Owais, Aabidi Sayyed Ali, Pratibha Dumane, “Automated System 

for  Management  of  Examination  Processes”,  2019  International  Conference  on  Nascent  Technologies  in 

Engineering (ICNTE 2019).

[10]  M.  Sumithra  and  Dr.  S.  Malathi,  “A  Novel  Distributed  Matching  Global  and  Local  Fuzzy  Clustering 

(DMGLFC)  FOR  3D  Brain  Image  Segmentation  for  Tumor  Detection”,  IETE  Journal  of  Research, 

doi.org/10.1080/03772063.2022.2027284, 2021

[11]  B.Buvanswari and T.Kalpalatha Reddy, “A Review of EEG Based Human Facial Expression Recognition 

Systems  in  Cognitive  Sciences”  International  Conference  on  Enenrgy,  Communication,Data  analytics  and 

SoftComputing(ICECDS),CFP17M55-PRJ:978-1-5386-1886-8”,August 2017.

[12]   Chethana,  C.,  Subbiah  Swaminathan,  S.  Sharanyaa,  E.  Sathish,  R.  Prathipa,  and  Anuradha  Thakare. 

"Application  Of  Reverse  Engineering  in  the  Process  of  Utilization  of  Human  Brain  in  Artificial 

Intelligence." Journal of Optoelectronics Laser 41, no. 3 (2022): 89-93.

[13]  M. Sumithra and Dr. S. Malathi, ” Modified Global Flower Pollination Algorithm-based image fusion for 

medical  diagnosis  using  computed  tomography  and  magnetic  resonance  imaging”,  International  Journal  of 

Imaging Systems and Technology, Vol. 31, Issue No.1, pp. 223 -235, 2021

[14]  K.  Sridharan  ,  and  Dr.  M.  Chitra   "SBPE:  A  paradigm  Approach  for  proficient  Information  Retrieval  , 

Jokull Journal" , Vol 63, No. 7;Jul 2013 

[15]   Sharanyaa, S., P. N. Renjith, and K. Ramesh. "Classification of Parkinson's disease using speech attributes 

with  parametric  and  nonparametric  machine  learning  techniques." 2020  3rd  International  Conference  on 

Intelligent Sustainable Systems (ICISS). IEEE, 2020.

[16]  M.  Sumithra  and  Dr.  S.  Malathi,  “3D  Densealex  NET  Model  with  Back  Propagation  for  Brain  Tumor 

Segmentation”, International Journal OfCurent Research and Review, Vol. 13, Issue 12, 2021. 

[17]   B.Buvaneswari and Dr.T. Kalpalatha Reddy,“EEG signal classification using soft computing techniques

for  brain  disease  diagnosis”,Journal  of  International  Pharmaceutical  Research  ,ISSN  :  1674 -0440,Vol.46,No.1,Pp.525-528,2019.

[18]   Sharanyaa, S., P. N. Renjith, and K. Ramesh. "An Exploration on Feature Extraction and Classification 

Techniques  for  Dysphonic  Speech  Disorder  in  Parkinson’s  Disease."  In Inventive  Communication  and 

Computational Technologies, pp. 33-48. Springer, Singapore, 2022.

[19]   K.  Sridharan  ,  and  Dr.  M.  Chitra   "Web  Based  Agent  And  Assertion  Passive  Grading  For  Information 

Retervial", ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO. 16, September 2015 pp:7043 -7048

[20]   M.  Sumithra  and  Dr.  S.  Malathi,  “Segmentation  Of  Different  Modalitites  Using  Fuzzy  K-Means  And 

Wavelet  ROI”,  International Journal  Of  Scientific  &  Technology  Research,  Vol.  8, Issue  11, pp. 996-1002, 

November 2019.

[21]  Sharanyaa, S., S. Lavanya, M. R. Chandhini, R. Bharathi, and K. Madhulekha. "Hybrid Machine Learning 

Techniques  for  Heart  Disease  Prediction." International  Journal  of  Advanced  Engineering  Research  and 

Science 7, no. 3 (2020).

[22]  M.  Sumithra  and  S.  Malathi,  “  A  Survey  of  Brain  Tumor  Segmentation  Methods  with  Different  Image 

Modalitites”, International Journal of Computer Science Trends and Technology (IJCST) – Vol. 5 Issue 2, Mar 

– Apr 2017

[23]  B.Buvaneswari and Dr.T. Kalpalatha Reddy, “High Performance Hybrid Cognitive Framework for Bio-Facial 

Signal  Fusion  Processing  for  the  Disease  Diagnosis”,  Measurement,ISSN:  0263-2241,  Vol.  140,  Pp.89-99,2019.

[24]   Sharanyaa,  S.,  and  M.  Shubin  Aldo.  "Explore  places  you  travel  using  Android."  In 2016  International 

Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), pp. 4796-4799. IEEE, 2016.

[25]  M.  Sumithra  and  Dr.  S.  Malathi,  “A  Brief  Survey  on  Multi  Modalities  Fusion”,  Lecture  Notes  on  Data 

Engineering and Communications Technologies, Springer, 35, pp. 1031-1041,2020. 

[26]  Sharanyaa,  S.,  and  Madhumitha  RP.  "Eyeball  Cursor  Movement  Detection  Using  Deep  Learning." RP, 

Madhumitha  and  Rani.  B,  Yamuna,  Eyeball  Cursor  Movement  Detection  Using  Deep  Learning  (July  12, 

2021) (2021).

[27]  M.  Sumithra  and  S.  Malathi,  “A  survey  on  Medical  Image  Segmentation  Methods  with  Different 

Modalitites”, International Journal of Engineering Research and Technology (IJERT)  –  Vol.  6 Issue 2, Mar 

2018. 

[28]  B.Buvaneswari and Dr.T. KalpalathaReddy,“ELSA-  A Novel Technique to Predict Parkinson's Disease in 

Bio-Facial”,International  Journal  of  Advanced  Trends  in  Computer  Science  and  Engineering,  ISSN  2278 -3091,Vol.8,No.1,Pp. 12-17,2019

[29]  K. Sridharan , and Dr. M. Chitra , Proficient Information Retrieval Using Trust Based Search On Expert 

And Knowledge Users Query Formulation System, Australian Journal of Basic and Applied Sciences, 9(23) 

July 2015, Pages: 755-765.

[30]  Sharanyaa, S., and K. Sangeetha. "Blocking adult account in osn’s using iterative social based classifier 

algorithm." International Journal of Scientific Engineering and Science 2, no. 1 (2018): 33-36.

[31]  B.Buvaneswari  and  Dr.T.  Kalpalatha  Reddy,  “ACPT-  An  Intelligent  Methodology  for  Disease 

Diagnosis”,Journal  of  Advanced  Research  in  Dynamical  and  Control  Systems,ISSN  :  0974-5572,Vol.11,No.4,Pp.2187-2194,2019.

[32]   Sumithra,  M.,  Shruthi,  S.,  Ram,  S.,  Swathi,  S.,  Deepika,  T.,  "MRI  image  classification  of  brain  tumor 

using deep neural network and deployment using web framework", Advances in Parallel Computing, 2021, 38, 

pp. 614–617. 

[33]   K. Sridharan , and Dr. M. Chitra "RSSE: A Paradigm for Proficient Information Retrieval using Semantic 

Web" , Life Science Journal 2013;10(7s), pp: 418-425

[34]  Sharanyaa,  S.,  S.  Vijayalakshmi,  M.  Therasa,  U.  Kumaran,  and  R.  Deepika.  "DCNET:  A  Novel 

Implementation of Gastric Cancer Detection System through Deep Learning Convolution Networks." In  2022 

International Conference on Advanced Computing Technologies and Applications (ICACTA), pp. 1 -5. IEEE, 

2022.