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Publications

Publications

INTERNATIONAL JOURNALS

  • Ram Krishn Mishra, Siddhaling Urolagin, J. Angel Arul Jothi and Pramod Gaur, “Deep Hybrid Learning for Facial Expression Binary Classifications and Predictions”, Image and Vision Computing (Accepted) 
  • Ram Krishn Mishra, Harshit Raj, Siddhaling Urolagin, J. Angel Arul Jothi, Nishad Navaz, “Cluster-based Knowledge Graph and Entity-Relation Representation on Tourism Economical Sentiments”, Applied Sciences, MDPI, 2022, 12, 8105. 
  • Anshumaan Chauhan, Ayushi Agarwal, J. Angel Arul Jothi, S. Vadivel, “LPRNet: A novel approach for Novelty Detection in Networking Packets”, International Journal of Advanced Computer Science and Applications (IJACSA), Volume 13, No 2, February 2022. 
  • Rajeni Nagarajan and J. Angel Arul Jothi, “Analysing traveller ratings for tourist satisfaction and tourist spot recommendation”, International Journal of Business Intelligence and Data Mining, Inderscience Publishers, vol 20, issue 2, pp 208-234, 2022.  
  • Ram Krishn Mishra, Siddhaling Urolagin, J. Angel Arul Jothi, Ashwin Neogi, Nishad Nawaz, "Deep Learning-Based Sentiment Analysis and Topic Modeling on Tourism during Covid-19 Pandemic”, Frontiers in Computer Science, section Digital Public Health, Nov 2021.
  • Ram Krishn Mishra, Siddhaling Urolagin, J. Angel Arul Jothi, “Machine Learning based Forecasting Systems for Worldwide International Tourists Arrival”, International Journal of Advanced Computer Science and Applications (IJACSA), Volume 12, No 11, November 2021. 
  • J. Angel Arul Jothi, "A Review on the Literature of Fashion Recommender System using Deep Learning", International Journal of Performability Engineering, 17 (8), pp. 695-702, Totem Publisher, August 2021.
  • Vijaya Gajanan Buddhavarapu and J. Angel Arul Jothi, “An Experimental Study on Classification of Thyroid Histopathology Images Using Transfer Learning”, Pattern Recognition Letters, Elsevier, 2020. DOI: https://doi.org/10.1016/j.patrec.2020.09.020 
  • Shaleen Bengani, J. Angel Arul Jothi and S. Vadivel, “Automatic segmentation of optic disc in retinal fundus images using semi-supervised deep learning”, Multimedia Tools and Applications, Springer, 2020. DOI: https://doi.org/10.1007/s11042-020-09778-6
  • Shaleen Bengani, S. Vadivel and J. Angel Arul Jothi, “Efficient Music Auto-Tagging with Convolutional Neural Networks”, Journal of Computer Science, Volume 15, Issue 8, Pages 1203-1208, 2019. DOI: https://doi.org/10.3844/jcssp.2019.1203.1208 
  • J.Angel Arul Jothi and V.Mary Anita Rajam “Automatic classification of thyroid histopathology images using multi-classifer system”, Multimedia tools and applications, Springer, 2017. DOI: http://dx.doi.org/10.1007/s11042-017-4363-0.
  • J.Angel Arul Jothi and V.Mary Anita Rajam “Effective Segmentation and Classification of Thyroid Histopathology Images”, Applied Soft Computing, vol. 46, pp. 652-664, Sep 2016, Elsevier, ISSN 1568-4946, DOI: http://dx.doi.org/10.1016/j.asoc.2016.02.030.
  • J Angel Arul Jothi and V Mary Anita Rajam, “Effective Segmentation of Orphan Annie-Eye Nuclei from Papillary Thyroid Carcinoma Histopathology Images using a Probabilistic Model and Region Based Active Contour”, Biomedical Signal Processing and Control, vol. 30, pp. 149-161, Jun 2016. Elsevier, ISSN 1746-8094. DOI: http://dx.doi.org/10.1016/j.bspc.2016.06.008.
  • J.Angel Arul Jothi and V.Mary Anita Rajam “A Survey on Automated Cancer Diagnosis from Histopathology Images”, Artificial Intelligence Review, Springer, ISSN 0269-2821. DOI: https://doi.org/10.1007/s10462-016-9494-6, Jun 2016.
  • K.Kulothungan, J.Angel Arul Jothi and A.Kannan “An Adaptive Fault Tolerant Routing Protocol with Error Reporting Scheme for Wireless Sensor Networks”, European Journal of Scientific Research, vol.60, no.1, pp. 19-32, 2011. 
  • Swetha Sridharan, J.Angel Arul Jothi and V.Mary Anita Rajam “Segmentation of Tumours from Brain Magnetic Resonance Images using Gain Ratio Based Fuzzy C-Means algorithm”, International Journal of Computer Science and Information Technologies, vol. 7, no. 3, pp. 1105-1110, 2016. ISSN 0975-9646. 
INTERNATIONAL CONFERENCES
  • Mohammed Abdul Hafeezkhan, Giri Prasad, J. Angel Arul Jothi, “Detection of Cavities from Oral Photographic Images using Convolutional Neural Networks”, in IEEE 2nd International Conference on Electrical, Computer and Energy Technologies (ICECET 2022), Prague, Czech Republic. 
  • Alicia Biju, Lavina Kunder and J. Angel Arul Jothi, "Analysis on Advanced Encryption Standard with Different Image Steganography Algorithms: An Experimental Study”, Lecture Notes on Data Engineering and Communications Technologies, 2nd Congress on Intelligent Systems (CIS 2021).  
  • Hrishikesh Sabnis, J. Angel Arul Jothi and A. M. Deva Prasad, "Microstructure Image Classification of Metals Using Texture Features and Machine Learning", in Communications in Computer and Information Science series, vol 1572, 3rd International Conference on Soft Computing and its Engineering Applications (icSoftComp2021), 2022.
  • Amena Qadri Syed, J.Angel Arul Jothi and K. Anusree, “Crack identification from concrete structure images using deep transfer learning”, 2nd International Conference on Artificial Intelligence and Signal Processing (AISP), IEEE, 2022, pp. 1-7 
  • Greeshma Kurup, J. Angel Arul Jothi and Anusree Kanadath, "Diabetic Retinopathy Detection and Classification using Pretrained Inception-v3", International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), IEEE, pp. 1-6 2021
  • Jyoti Chowdhery, Aadila Jasmin, Anukriti Jaiswal, J. Angel Arul Jothi, "Automatic Student Performance Prediction System Using Data Mining Techniques", IEEE International Conference on Computing and Communications Applications and Technologies I3CAT, pp. 57-65, 2021.
  • Syama K, Kanak Jain, J.Angel Arul Jothi, and Namita Khanna “Analysis of Colon Cancer Metagenomic Data Using Machine Learning” International Conference on Data Science and Applications (ICDSA 2021), Lecture Notes in Networks and Systems, vol 287. Springer
  • Anusree Kanadath, J. Angel Arul Jothi and Siddhaling Urolagin “Histopathology Image Segmentation Using MobileNetV2 based U-net Model” IEEE International Conference on Intelligent Technologies, CONIT, 2021.
  • Parth Poply and Angel Arul Jothi J “Refined Image Segmentation for Calorie Estimation of Multiple-dish food items” International Conference on Computing, Communication, and Intelligent Systems (ICCCIS 2021).
  • Ram Krishn Mishra, Siddhaling Urolagin and J. Angel Arul Jothi, "Sentiment Analysis for POI Recommender Systems", Seventh International Conference on Information Technology Trends (ITT 2020)
  • Vijaya and J.Angel Arul Jothi, “Comparison of Deep Learning Models for Cancer Metastases Detection: An Experimental Study”, 2nd International Conference on Soft Computing and its Engineering Applications (icSoftComp2020), Communications in Computer and Information Science Series, Springer, CHARUSAT, Changa, India. December 11-12, 2020.
  • Aamer and J.Angel Arul Jothi, “Classification of UrbanSound8k: A study using Convolutional Neural Network and Multiple Data Augmentation Techniques”, 2nd International Conference on Soft Computing and its Engineering Applications (icSoftComp2020), Communications in Computer and Information Science Series, Springer, CHARUSAT, Changa, India. December 11-12, 2020
  • Adithya Praveen T., Angel Arul Jothi J. "Enhancing Image Caption Quality with Pre-post Image Injections", pp 805-812, 2021. In: Patnaik S., Yang XS., Sethi I. (eds) Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore.
  • Parth Poply and J.Angel Arul Jothi, “An Instance Segmentation approach to Food Calorie Estimation using Mask R-CNN”, Third International Conference on Signal Processing and Machine Learning (SPML 2020), ACM Conference Proceedings (ISBN: 978-1-4503-7573-3), Beijing, China. 22-24, October, 2020.
  • Tanzeeha Sulaiman, Angel Arul Jothi J., Bengani S., "Automated Grading of Diabetic Macular Edema Using Deep Learning Techniques", pp 264-272, 2020. In: Goel N., Hasan S., Kalaichelvi V. (eds) Modelling, Simulation and Intelligent Computing. MoSICom 2020. Lecture Notes in Electrical Engineering, vol 659. Springer, Singapore.
  • Ram Krishn Mishra, Siddhaling Urolagin and J. Angel Arul Jothi, "A sentiment analysis-based hotel recommendation using TF-IDF Approach", 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, 2019, pp. 811-815, doi: 10.1109/ICCIKE47802.2019.9004385.
  • Natteshan NVS and J.Angel Arul Jothi “Automatic Classification of Brain MRI images using SVM and Neural Network Classifiers”, Third International Symposium on Intelligent Informatics, Advances in Intelligent Informatics, Advances in Intelligent and Soft Computing (AISC) Springer, Sep 2014. 
  • J.Angel Arul Jothi and V.Mary Anita Rajam “Segmentation of Nuclei from Breast Histopathology Images Using PSO Based Otsu’s Multilevel Thresholding” in the International Conference of  Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES), Advances in Intelligent and Soft Computing (AISC) Springer, April 2014.
BOOK CHAPTERS
  • Vijaya Gajanan Buddhavarapu and J. Angel Arul Jothi, "Cancer Diagnosis from Histopathology Images using Deep Learning: A Review on the Literature", Artificial Intelligence Technologies for Computational Biology edited by Ranjeet Kumar Rout, Saiyed Umer, Sabha Sheikh, and A. L. Sangal. Taylor & Francis Group, LLC, CRC Press.
 

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