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Nandini Modi
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- 2026
[j9]Nandini Modi, Sonam Gandotra, Yogesh Kumar
, Noopur Tyagi:
Artificial intelligence for the diagnosis and detection of smoking and alcohol-related cancers: a systematic review. Artif. Intell. Rev. 59(7): 164 (2026)- 2025
[j8]Nandini Modi
, Yogesh Kumar
, Kapil Mehta, Neelam Chaplot
:
Physiological signal-based mental stress detection using hybrid deep learning models. Discov. Artif. Intell. 5(1): 166 (2025)
[j7]Laxana Rana, Nandini Modi, Shilpa Pandey
:
Explainable YOLO models for early skin cancer detection using hair artifact removal and VGG16 guided annotation. Discov. Artif. Intell. 5(1): 358 (2025)- 2024
[j6]Sonam Gandotra, Yogesh Kumar
, Nandini Modi
, Jaeyoung Choi, Jana Shafi, Muhammad Fazal Ijaz:
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction. Artif. Intell. Rev. 57(8): 220 (2024)
[j5]Jaiteg Singh
, Nandini Modi
:
A robust, real-time camera-based eye gaze tracking system to analyze users' visual attention using deep learning. Interact. Learn. Environ. 32(2): 409-430 (2024)
[j4]Nandini Modi
, Jaiteg Singh
:
An analysis of perfume packaging designs on consumer's cognitive and emotional behavior using eye gaze tracking. Multim. Tools Appl. 83(35): 82563-82588 (2024)
[j3]Jigyasa Chadha, Aarti Jain
, Yogesh Kumar
, Nandini Modi
:
Hybrid Deep Learning Approaches for Human Activity Recognition and Postural Transitions Using Mobile Device Sensors. SN Comput. Sci. 5(7): 925 (2024)- 2023
[j2]Nandini Modi
, Jaiteg Singh
:
Understanding Online Consumer Behavior at E-commerce Portals Using Eye-Gaze Tracking. Int. J. Hum. Comput. Interact. 39(4): 721-742 (2023)- 2022
[j1]Nandini Modi
, Jaiteg Singh
:
Real-time camera-based eye gaze tracking using convolutional neural network: a case study on social media website. Virtual Real. 26(4): 1489-1506 (2022)- 2021
[c1]Vivek Bhardwaj
, Vinay Kukreja
, Navjeet Kaur
, Nandini Modi
:
Building an ASR System for Indian (Punjabi) language and its evaluation for Malwa and Majha dialect: Preliminary Results. ICCCNT 2021: 1-5
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