Dr. Meenalosini Vimal Cruz

Publications

Doctoral Dissertation:
• S. Meenalosini, (2014), "New Methodologies for Efficient Computer Aided Malignancy Diagnosis in Digital Mammograms", Thesis, School of Computing, Veltech Dr. RR & Dr.SR Technical University.
International Book chapter:
  • Dr.J.Janet, S.Meenalosini, Divya Mohandas, "Lossless Compression Techniques for Medical images in Telemedicine", ADVANCES IN TELEMEDICINE, Intech open Access Publisher, 2011.
  • • Sudhendra Kambhamettu, Meenalosini Vimal Cruz, Anitha S, Sibi Chakkaravarthy S and K. Nandeesh Kumar, “Brain-Computer Interface-Assisted Automated Wheelchair Control Management–Cerebro: A BCI Application”, Brain-computer interface: Using deep learning applications, Wiley, Chapter 9, 10 Feb 2023.
International Journal publication:
  1. Meenalosini Vimal Cruz. Suhaima Jamal, Camden Wahl, Sibi Chakkaravarthy, “Investigating the Impact of Mindful Breathing Meditation on Brain Waves: A Study on Young Adults”, Neuropsychological trends -35/2024.
  2. Md Arifur Rahman, Suhaima Jamal, Meenalosini Vimal Cruz, Bishal Silwal, Hossein Taheri, “In situ process monitoring of multi‑layer deposition in wire arc additive manufacturing (WAAM) process with acoustic data analysis and machine learning”, The International Journal of Advanced Manufacturing Technology, Volume 132, pages 5087–5101, 29 April 2024.
  3. Karthikeyan, Tathagat Banerjee, Devi Priya R, Meenalosini Vimal Cruz, “Segmentation of Thoracic Organs through Distributed Extraction of Visual Feature Patterns”, Current Gene Therapy, Volume 24, Number 3, 2024, pp. 217-238(22), 1 June 2024.
  4. Karthikeyan S, Aakash R, Meenalosini Vimal Cruz, Lei Chen, Ajay V J L, Rohith V S, “A Systematic Analysis onRaspberry Pi Prototyping: Uses, Challenges, Benefits, and Drawbacks”, IEEE Internet of Things Journal,Volume: 10 Issue: 16, April 2024.
  5. Matthew Pittendreigh, Kaleigh Powers, Meenalosini Vimal Cruz, Jason Pellettieri, “Quantitative Analysis ofPlanarian Pigmentation”, Springer Link, Methods in Molecular Biology, MIMB, volume 2680, pp 253–261,11 July 2023.
  6. Sibi Chakkaravarthy Sethuraman, Pranav Kompally, Saraju P, Mohanty, BKSP Kumar Raju, Meenalosini Vimal Cruz, “Cleo: Smart Glasses to Monitor Consumption of Alcohol and Cigarettes”, SN Computer Science, Volume 4, article number 53, November 2022.
  7. R. Chidhambararajan, Aman Rangapur, Sibi Chakkaravarthy S, Aswani Kumar Cherukuri, Meenalosini Vimal Cruz, S. Sudhakar Ilango, “Efficient Word-Net: An Open Source Hotword Detection Engine Based on Few- Shot Learning”, World Scientific-Journal of Information and Knowledge Management, July 2022.
  8. Aditya Mitra, Karthikeyan S, Sibi Chakkaravarthy, Meenalosini Vimal Cruz, G Pandiya Rajan, S Sankar Ganesh, “A potable water location tagging system for victims of natural calamities, Elsevier-Environmental research”, Elsevier , Environmental Challenges, Vol 9, 100617, December 2022.
  9. R.Geethalakshmi, R.Vani, and Meenalosini Vimal Cruz, “A Study of Glaucoma Diagnosis Using Brain Computer Interface Technology”, Springer, Computational Intelligence in Machine Learning, Lecture Notes in Electrical Engineering, Volume 834, Page 271, 2022.
  10. D. Sangeetha, S. Sibi Chakkaravarthy, Suresh Chandra Satapathy, V. Vaidehi, Meenalosini Vimal Cruz, “Multikeyword searchable attribute-based encryption for efficient retrieval of health Records in Cloud,” Springer,Multimedia Tools and Applications, Machine Vision Theory and Applications for Cyber Physical Systems,Volume 81, pages 22065–22085, April 2021.
  11. Pranav Kompally, Sibi Chakkaravarthy Sethuraman, Steven Walczak, Samuel Johnson and MeenalosiniVimal Cruz, “MaLang: A Decentralized Deep Learning Approach for Detecting Abusive Textual Content” ,Applied sciences, MDPI, 11(18), 8701, September 2021.
  12. Jatin Karthik Tripathy a, Sibi Chakkaravarthy Sethuraman a, Meenalosini Vimal Cruz b,Anupama Namburua, Mangalraj P. a, Nandha Kumar R. a, Sudhakar Ilango S a, Vaidehi Vijayakumar c, “Comprehensive analysisof embeddings and pre-training in NLP”, Computer Science Review, Elsevier, Volume 42, 100433,November 2021.
  13. Meenalosini Vimal Cruz, Anupama Namburu, Sibi Chakkaravarthy S, Matthew Pittendreigh, "A Hybrid Capsule Network Model for Skin Cancer Classification”, Journal of Scientific & Industrial Research, Vol. 79, pp. 994-1001,November 2020.
  14. Meenalosini Vimal Cruz, Anupama Namburu, Sumathi D, BKSP Kumar Raju Alluri, S. Sibi Chakkaravarthy,, " “Analysis of COVID-19 Pandemic - Origin, Global Impact and Indian Therapeutic Solutions for infectious. Diseases”, Indian Journal of Traditional Knowledge (IJTK), Vol:19(Suppl), December 2020, pp-S103-S117.
  15. Sibi Chakkaravarthy S, D. Sangeetha, Meenalosini Vimal Cruz, V. Vaidehi, Balasubramanian R, "Design of Intrusion Detection Honeypot using Social Leopard Algorithm to detect IoT ransomware attacks,IEEE Access, Sept 2020, Page,1-13, DOI: 10.1109/ACCESS.2020.3023764
  16. Anupama Namburu, Sibi Chakkaravarthy, Meenalosini Vimal Cruz, Single Valued Triangular Neutrosophic Fuzzy c-Means for MR Brain Image, Recent Advances in Computer Based Systems, Processes and Applications, DOI: 10.1201/9781003043980-11
  17. P.Visu, Dr. Murugananthan velayutham, Dr. Lakshmanan, Dr. Meenalosini Vimal Cruz, “Software-defined forensic framework for malware disaster management in Internet of Thing devices for extreme surveillance", Elsevier, Computer Communications, Volume 147, November 2019, Pages 14-20.
  18. S.Meenalosini and Dr.E.Kannan, "Malignancy detection in Mammogram using Gray Level Gradient Buffering Method",International Journal of Cancer Research,ISSN:2051-784X, Vol.47, No.1,2013.
  19. S.Meenalosini, Dr.J.Janet and Dr.E.Kannan, " Computer Aided Diagnosis using Alarm Pixel Generation and Region Growing Method", International Journal of Digital Image Processing, ISSN 0974-9691,Vol 4, No.12, 2012.
  20. S.Meenalosini, Dr.J.Janet and Dr.E.Kannan, "A Novel Approach in Malignancy Detection of Computer Aided Diagnosis", American Journal of Applied Science,ISSN 1546-9239,Vol.9, No.7, 2012.
  21. S.Meenalosini,Dr.J.Janet and Dr.E.Kannan," Segmentation of cancer cells in mammogram using region growing method and Gabor features", International Journal of Engineering Research and Application,ISSN 2248-9622, Vol.2, No.2, 2012.
  22. S.Meenalosini and Dr.J.Janet, " Computer Aided Diagnosis of Malignancy in Mammograms",European Journal of Scientific Research,ISSN 1450-216X, Vol.57,No.2, 2011.
  23. S.Meenalosini and Dr.J.Janet, "Detection of Cancer Cells in Gabour filtered Mammogram Using Gray Level Co-Occurrence Matrices", International Journal of Digital Image Processing,ISSN 0974-9691,Vol. 3, No. 7, 2011.

Journals under publication:

    International Conference Proceeding Publications
    1. Ved Patel; Akshil Shah; G. Usha; Samarth Patel; Parth Panchal; Meenalosini Vimal Cruz, “A comparison of advanced learning models for the P300 brain computer interfaces”, AIP conference Proceedings, Proc. 3075, 020064 (2024), July 29, 2024.
    2. Verfasst von, R. Sarveshwaran, S. Karthikeyan, Meenalosini V. Cruz, S. Shreyanth, S. Niveditha, P. K. Rajesh, “ NLP-Based AI-Driven Resume Screening Solution for Efficient Candidate Selection”, ICICT 2024, London, Volume 2, 9th International Congress on Information and Communication Technology, October 2024.
    3. Suhaima Jamal, Meenalosini Vimal Cruz, Jongyeop Kim, “Cloud-Based Human Emotion Classification Model from EEG Signals”, IEEE Xplorer, 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), November 2023, New York, NY, USA.
    4. Anca O. Muresan, Meenalosini V. Cruz, Felix G. Hamza-Lup, “Objective Emotion Quantification in the Metaverse Using Brain-Computer Interfaces”, Springer Nature Switzerland, 353-361, IFIP International Internet of Things Conference, October 2023, Texas, USA.
    5. S. Sibi Chakkaravarthy, Marvel M. John, Meenalosini Vimal Cruz, R. Arun Kumar, S. Anitha & S. Karthikeyan, “MetaHap: A Low-Cost Haptic Glove for Metaverse,” Springer Nature Switzerland, 362-372, October 2023, Texas, USA.
    6. Suhaima Jamal; Meenalosini Vimal Cruz; Sibi Chakravarthy; Camden Wahl; Hayden Wimmer, “Integration of EEG and Eye Tracking Technology: A Systematic Review”, IEEE Xplorer, 209-216, SoutheastCon 2023, May 2023 Florida, USA.
    7. G. Usha; J Jeyasudha; H Karthikeyan; Meenalosini Vimal Cruz, “A Smart and Secure IoT devices Using Machine Learning Algorithm”, 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 16-17 Oct. 2022.
    8. R. Geethalakshmi, R.Vani, Meenalosini Vimal Cruz, “A study of Glaucoma diagnosis using Brain-Computer Interface Technology”, International Conference on Computational Intelligence in Machine Learning, Nature Book Publishing, Lecture Notes in Electrical Engineering, Volume 834, ISBN: 978-981-16-8484-5, Page 271-279, March 2022.
    9. G Usha, P Madhavan, Meenalosini Vimal Cruz, NAS Vinoth, Maria Nancy, “ Enhanced Ransomware Detection Techniques using Machine Learning Algorithms”, 4th International Conference on Computing and Communications Technologies (ICCCT), Page 52-58, December 2021.
    10. Anupama Nambaru, S. Sibi Chakkaravarthy , Meenalosini Vimal Cruz , Hari Seetha-,Single Valued Triangular Neutrosophic Fuzzy c-Means for MR Brain Image Segmentation International Conference on Data Science, Machine Learning and Statistics - 2019 (DMS-2019)
    11. S.Meenalosini, Dr.J.Janet, Dr.E.Kannan,"Detection of Malignancy in Mammograms Using Region Growing and GLCM Features ",ICCCE 2012 Dr.M.G.R. Educational and Research Institute University, Chennai , ISBN No.978-1-4675-2246-5, 12,13-April 2012.
    12. S.Meenalosini and Dr.J.Janet,"A Hybrid approach to detect cancer cells using gabour and gray level co occurrence matrices feature",Icccs 2011 Saveetha Engineering college, Chennai,ISBN No.978-81-907494-6-6,14,15-December 2011.
    13. S.Meenalosini and Dr.J.Janet, "A Hybrid Approach for Earlier Detection Of Cancer Cells In Mammograms ",INCOS -2011,IEEE Students Branch-34451,Kalasalingam University, Krishnankoil, ISBN No.978-93-804660-9-5,1&2,April 2011.
    14. S.Meenalosini, Divya Mohandas and Dr.J.Janet, "Joined Medical Image Compression Based on Wavelets ",ICST2011, VelTech Dr. RR & Dr.SR Technical University, Chennai, ISBN No.978-81-8424-650-6 ,January 2011.
    15. S.Meenalosini and Dr.J.Janet, "Detection of masses in mammograms using Gabor features and Gray Level Co-Occurrence Matrices ", ICST2011 ,VelTech Dr. RR & Dr.SR Technical University, Chennai, ISBN No.978-81-8424-650-6 ,January 2011.
    International Conference Presentations
    1. “A potable water location tagging system for victims of natural calamities”, ICEEMR, Chennai, India, June 23, 2022
    2. “A Robust Automated Brain tumor segmentation using Niftynet”, International Conference on Digital Health -2019, Houston, TX, April 2019.
    3. “Skin Cancer Detection Using Capsule Net, International Conference on Control, Automation, Robotics and Vision Engineering, Las Vegas, Nevada, May 2019.
    4. “Ensemble of deep learning models for feature extraction and classification in biomedical imaging”, International conference on Conference on Image science-GRC, Boston, USA, June 2018.
    5. “Computer Aided Diagnosis of Malignancy in Mammograms”, International Conference on Cloud Computing & Services, Chennai, 2011.
    6. “Detection of Malignancy in Mammograms Using Region Growing and GLCM Features”, International Conference on Computing and Control Engineering, Chennai, 2012.
    7. Performance evolution of pattern recognition for efficient number plate detection”, Nacont2010, March 2010.

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