TARU PUBLICATIONS
Author

Tulika Chakrabarti

Department of Chemistry Sir Padampat Singhania University, Udaipur, Rajasthan, 313601, lndia

Published papers
10
Citations
4
Views
1,330
Downloads
58

Publications

10 papers
Open Access Research Article·pp. 67–77·Vol. 28, Issue 1Jan 2025

Federated learning for brain tumor segmentation and classification : A statistical approach

Sivakumar Nadarajan, Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, B. Sivaneasan, Martin Margala

Published Online: 15 Jan 2025DOI: 10.47974/JSMS-1315

In this paper: Enhancing the chances of survival for cancer patients requires early brain tumour identification. This study suggests a federated learning-based method to deal with classification problems caused by o...

AbstractReferencesFull Text PDF (616 KB)Views: 216Downloads: 6Citations: 1
Open Access Research Article·pp. 95–105·Vol. 28, Issue 1Jan 2025

Interdisciplinary role of statistics in energy consumption prediction within smart grid big data analytics

Kamal Sharma, Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, B. Sivaneasan, Martin Margala

Published Online: 15 Jan 2025DOI: 10.47974/JSMS-1316

In this paper: The study of energy consumption in buildings is crucial due to environmental and financial impacts. Smart metering is suggested to improve energy efficiency, but predicting electrical consumption accu...

AbstractReferencesFull Text PDF (801 KB)Views: 106Downloads: 3Citations: 0
Open Access Research Article·pp. 121–131·Vol. 28, Issue 1Jan 2025

Early fire hazard risk management model in urban environments : Leveraging optimized deep learning techniques

Vishal Goyal, Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, B. Sivaneasan, Martin Margala

Published Online: 15 Jan 2025DOI: 10.47974/JSMS-1318

In this paper: The rapid growth of IoT technology has revolutionized smart city applications, improving societal functionalities. This integration offers real-time applications for predicting crime events, monitorin...

AbstractReferencesFull Text PDF (1.2 MB)Views: 86Downloads: 6Citations: 0
Open Access Research Article·pp. 139–149·Vol. 28, Issue 1Jan 2025

An intelligent framework for credit card fraud detection through data analytics

Y. Ravi Kumar Chakrabarti, Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, B. Sivaneasan, Martin Margala

Published Online: 15 Jan 2025DOI: 10.47974/JSMS-1320

In this paper: An intelligent framework combining Autoencoder Neural Networks and the Dragonfly optimization algorithm, which would be put forth to this research to combat effective credit card fraud by detecting fr...

AbstractReferencesFull Text PDF (905 KB)Views: 144Downloads: 7Citations: 0
Open Access Research Article·pp. 2419–2429·Vol. 27, Issue 8Dec 2024

A novel optimization-based time-enabled proxy re-encryption approach for securing e-health data in cloud environments : An interdisciplinary statistical perspective

K. Gurnadha Gupta, Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, B. Sivaneasan, Martin Margala

Published Online: 18 Dec 2024DOI: 10.47974/JDMSC-2015

In this paper: Electronic health records (EHRs) aim to improve healthcare efficiency and workload management, but security concerns persist, especially in cloud storage. Proxy re-encryption (PRE) addresses these con...

AbstractReferencesFull Text PDF (820 KB)Views: 156Downloads: 6Citations: 1
Open Access Research Article·pp. 2081–2090·Vol. 45, Issue 8Nov 2024

Optimized decision science approach for accurate detection of rice plant diseases

Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, S. Sreenath Kashyap, B. Sivaneasan, Martin Margala

Published Online: 30 Nov 2024DOI: 10.47974/JIOS-1652

In this paper: Rice cultivation is an integral part of India’s changing landscape of agriculture. It offers an ALO-based Random Forest Classifier for accurate disease diagnosis and sorting in rice plants, including...

AbstractReferencesFull Text PDF (1.3 MB)Views: 199Downloads: 7Citations: 0
Open Access Research Article·pp. 2193–2202·Vol. 45, Issue 8Nov 2024

A novel actuarial science approach for predicting infectious diseases using computed tomography

J. Seetha, Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, B. Sivaneasan, Martin Margala

Published Online: 30 Nov 2024DOI: 10.47974/JIOS-1782

In this paper: Amid the COVID-19 pandemic, early and accurate automatic detection is vital. This study presents the AVbADC Algorithm to separate lung areas impacted by COVID-19 in CT scans. Initial results show prom...

AbstractReferencesFull Text PDF (1.4 MB)Views: 99Downloads: 2Citations: 1
Open Access Research Article·pp. 2203–2212·Vol. 45, Issue 8Nov 2024

Improving imbalanced data classification in healthcare systems : A novel optimization approach with statistical insights

Eshwar Dara, Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, B. Sivaneasan, Martin Margala

Published Online: 30 Nov 2024DOI: 10.47974/JIOS-1783

In this paper: Imbalanced data classification poses a challenge in medical intelligent diagnosis due to limited samples and high-dimensional features in real-world biomedical datasets. This issue impacts the classif...

AbstractReferencesFull Text PDF (3.5 MB)Views: 100Downloads: 6Citations: 1
Open Access Research Article·pp. 2213–2225·Vol. 45, Issue 8Nov 2024

Design of optimization-based machine learning model with AI for effective breast cancer detection system

Anusha Ampavathi, B. Sivaneasan, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

Published Online: 30 Nov 2024DOI: 10.47974/JIOS-1784

In this paper: Accurate and prompt diagnosis is crucial for early detection and recovery from breast cancer. Many women die from breast cancer because current methods fail to detect it early. To address this challen...

AbstractReferencesFull Text PDF (676 KB)Views: 117Downloads: 10Citations: 0
Open Access Research Article·pp. 2309–2323·Vol. 45, Issue 8Nov 2024

A hybrid fine-tuned optimizer for enhancing ECG data security in heart attack detection systems

Ajmeera Kiran, Bhuvan Unhelkar, S. Siva Shankar, Tulika Chakrabarti, Prasun Chakrabarti, B. Sivaneasan, Martin Margala

Published Online: 30 Nov 2024DOI: 10.47974/JIOS-1808

In this paper: Accurate analysis of ECG data is necessary for effective heart attack detection. The InRes-106 model, a hybrid fine-tuned optimizer that improves ECG data security and detection, is presented in this...

AbstractReferencesFull Text PDF (501 KB)Views: 107Downloads: 5Citations: 0