Personal information

Biography

Dr Tarjni Vyas is working as an Assistant Professor in Computer Science and Engineering Department. She has more than 11 years of teaching experience. Dr Vyas received her BE degree in Computer Engineering from Gujarat University in 2009 and MTech degree in Computer Engineering from Dharamsingh Desai University (DDU), Nadiad in 2011. She completed her PhD in Computer Engineering from Charotar University of Science and Technology, Changa. Her area of specialization includes Natural Language Processing and Information Retrieval. She has good quality publications in international conferences and journals to her credit. She is also completed in two research projects funded by SAC-ISRO under AO and NISAR Scheme.

Activities

Employment (1)

Nirma University: Ahmedabad, Gujarat, IN

2012-07-02 to present | Dr (CSE Department)
Employment
Source: Self-asserted source
tarjnivyas

Works (24)

Lung sound disease detection using attention over pre-trained efficientnet architecture

Multimedia Tools and Applications
2024 | Journal article
Contributors: Anuja Nair; Himanshu Vadher; Pal Patel; Tarjni Vyas; Chintan Bhatt; Alessandro Bruno
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Security and privacy solutions for healthcare informatics

Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions
2023 | Book chapter
EID:

2-s2.0-85160755832

Contributors: Gajjar, P.; Desai, S.; Vegada, A.; Shah, P.; Vyas, T.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

CNN and Bidirectional GRU-Based Heartbeat Sound Classification Architecture for Elderly People

Mathematics
2023-03-10 | Journal article
Contributors: Harshwardhan Yadav; Param Shah; Neel Gandhi; Tarjni Vyas; Anuja Nair; Shivani Desai; Lata Gohil; Sudeep Tanwar; Ravi Sharma; Verdes Marina et al.
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Automatic Question Tagging using Machine Learning and Deep learning Algorithms

6th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2022 - Proceedings
2022 | Conference paper
EID:

2-s2.0-85147500210

Contributors: Prajapati, M.; Nakrani, M.; Vyas, T.; Gohil, L.; Desai, S.; Degadwala, S.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Detecting emotions from human speech: role of gender information

2022 IEEE Region 10 Symposium, TENSYMP 2022
2022 | Conference paper
EID:

2-s2.0-85138496537

Contributors: Gupta, M.; Patel, T.; Mankad, S.H.; Vyas, T.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Music Genre Classification using Deep Learning

Proceedings - 6th International Conference on Computing Methodologies and Communication, ICCMC 2022
2022 | Conference paper
EID:

2-s2.0-85129127424

Contributors: Shah, M.; Pujara, N.; Mangaroliya, K.; Gohil, L.; Vyas, T.; Degadwala, S.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Software Effort Estimation using Machine Learning Algorithms

6th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2022 - Proceedings
2022 | Conference paper
EID:

2-s2.0-85147525553

Contributors: Shah, R.; Shah, V.; Nair, A.R.; Vyas, T.; Desai, S.; Degadwala, S.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Band Selection Technique for Crop Classification Using Hyperspectral Data

Journal of the Indian Society of Remote Sensing
2022-08 | Journal article
Contributors: Kinjal Dave; Tarjni Vyas; Y. N. Trivedi
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Crossref
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A sample selection method based on similarity measure and fuzziness for crop classification from hyperspectral data

Advances in Space Research
2022-06 | Journal article
Part of ISSN: 0273-1177
Contributors: tarjnivyas
Source: Self-asserted source
tarjnivyas
grade
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Deep learning‐based scheme to diagnose Parkinson's disease

Expert Systems
2022-03 | Journal article
Part of ISSN: 0266-4720
Part of ISSN: 1468-0394
Contributors: tarjnivyas
Source: Self-asserted source
tarjnivyas
grade
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E-mail autocomplete function using RNN Encoder-decoder sequence-to-sequence model

Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021
2021 | Conference paper
EID:

2-s2.0-85125422718

Contributors: Modi, R.; Naik, K.; Vyas, T.; Desai, S.; Degadwala, S.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Hate speech detection in twitter using natural language processing

Proceedings of the 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021
2021 | Conference paper
EID:

2-s2.0-85104434698

Contributors: Pariyani, B.; Shah, K.; Shah, M.; Vyas, T.; Degadwala, S.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Insights of Deep Learning Applications

Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021
2021 | Conference paper
EID:

2-s2.0-85125402767

Contributors: Shah, H.; Desai, S.; Vyas, T.; Nair, A.; Degadwala, S.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Intrusion Detection System-Deep Learning Perspective

Proceedings - International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021
2021 | Conference paper
EID:

2-s2.0-85105015574

Contributors: Desai, S.; Dave, B.; Vyas, T.; Nair, A.R.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Security and privacy issues in fog computing for healthcare 4.0

Signals and Communication Technology
2021 | Book chapter
EID:

2-s2.0-85090254661

Part of ISSN: 18604870 18604862
Contributors: Desai, S.; Vyas, T.; Jambekar, V.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Fog Data Processing and Analytics for Health Care-Based IoT Applications

Studies in Big Data
2020 | Book chapter
EID:

2-s2.0-85132941999

Part of ISSN: 21976511 21976503
Contributors: Vyas, T.; Desai, S.; Ruparelia, A.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Gujarati language model: Word sense disambiguation using supervised technique

International Journal of Recent Technology and Engineering
2019 | Journal article
EID:

2-s2.0-85074414910

Part of ISSN: 22773878
Contributors: Vyas, T.; Ganatra, A.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Gujarati language: Research issues, resources and proposed method on word sense disambiguation

International Journal of Recent Technology and Engineering
2019 | Journal article
EID:

2-s2.0-85074402982

Part of ISSN: 22773878
Contributors: Vyas, T.; Ganatra, A.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

Crop Identification and Discrimination Using AVIRIS-NG Hyperspectral Data Based on Deep Learning Techniques

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
2019-07 | Conference paper
Contributors: tarjnivyas
Source: Self-asserted source
tarjnivyas
grade
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Google adwords: A window into the google display network

Lecture Notes in Networks and Systems
2018 | Book chapter
EID:

2-s2.0-85063188569

Part of ISSN: 23673389 23673370
Contributors: Subhadra, V.; Urvashi, K.; Pranav, F.; Tarjni, V.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier

MobiCloud: Performance improvement, application models and security issues

Smart Innovation, Systems and Technologies
2018 | Book
EID:

2-s2.0-85028375947

Part of ISSN: 21903026 21903018
Contributors: Dave, J.; Shaikh, Y.; Vyas, T.; Nair, A.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier
grade
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A study of working of ad auctioning by google adwords

Advances in Intelligent Systems and Computing
2016 | Book
EID:

2-s2.0-84960376299

Part of ISSN: 21945357
Contributors: Jahan, F.; Fruitwala, P.; Vyas, T.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier
grade
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Towards the next generation of web of things: A survey on semantic web of things’ framework

Smart Innovation, Systems and Technologies
2016 | Book
EID:

2-s2.0-84978289061

Part of ISSN: 21903026 21903018
Contributors: Jahan, F.; Fruitwala, P.; Vyas, T.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier
grade
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A survey and evaluation of supervised machine learning techniques for spam e-mail filtering

Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2015
2015 | Conference paper
EID:

2-s2.0-84954182801

Contributors: Vyas, T.; Prajapati, P.; Gadhwal, S.
Source: Self-asserted source
tarjnivyas via Scopus - Elsevier