Seuraa
Pranshav Gajjar
Pranshav Gajjar
Muut nimetGajjar Pranshav
Vahvistettu sähköpostiosoite verkkotunnuksessa ncsu.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Oil spill detection over ocean surface using deep learning: a comparative study
N Mehta, P Shah, P Gajjar
Marine Systems & Ocean Technology 16, 213-220, 2021
102021
Crafting clarity: Leveraging large language models to decode consumer reviews
SV Praveen, P Gajjar, RK Ray, A Dutt
Journal of Retailing and Consumer Services 81, 103975, 2024
82024
Liquidt: stock market analysis using liquid time-constant neural networks
P Gajjar, A Saxena, K Acharya, P Shah, C Bhatt, TT Nguyen
International Journal of Information Technology 16 (2), 909-920, 2024
82024
E-mixup and siamese networks for musical key estimation
P Gajjar, P Shah, H Sanghvi
International Conference on Ubiquitous Computing and Intelligent Information …, 2021
82021
Comparative analysis of deep learning architectures and vision transformers for musical key estimation
M Garg, P Gajjar, P Shah, M Shukla, B Acharya, VC Gerogiannis, ...
Information 14 (10), 527, 2023
72023
Optimization of rocker-bogie mechanism using heuristic approaches
H Senjaliya, P Gajjar, B Vaghasiya, P Shah, P Gujarati
arXiv preprint arXiv:2209.06927, 2022
72022
Ocean surface pollution detection: Applicability analysis of V-Net with data augmentation for oil spill and other related ocean surface feature monitoring
N Mehta, P Shah, P Gajjar, V Ukani
Communication and Intelligent Systems: Proceedings of ICCIS 2021, 11-25, 2022
72022
Quadruplet loss and SqueezeNets for Covid-19 detection from Chest-X rays
P Gajjar, N Mehta, P Shah
Computer Science Journal of Moldova 89 (2), 214-222, 2022
62022
Triplet loss for Chromosome Classification
P Gajjar, P Shah, A Vegada, J Savalia
Journal of Innovative Image Processing 4 (1), 1-15, 2022
52022
Oran-bench-13k: An open source benchmark for assessing llms in open radio access networks
P Gajjar, VK Shah
arXiv preprint arXiv:2407.06245, 2024
42024
Path Planning and Static Obstacle Avoidance for Unmanned Aerial Systems
P Gajjar, V Dodia, S Mandaliya, P Shah, V Ukani, M Shukla
International Conference on Advancements in Smart Computing and Information …, 2022
42022
Applicability analysis of attention U-Nets over vanilla variants for automated ship detection
P Gajjar, M Garg, V Shah, P Shah, A Das
Reports on Geodesy and Geoinformatics 114, 2022
42022
Revolutionizing patient care: the synergy of IoT and machine learning in smart healthcare
HA Sanghvi, D Gangwani, AA Mohamed, P Gajjar, O Patel, AS Pandya
Elsevier, 2024
32024
A Comparative Study on the Modern Deep Learning Architectures For Predicting Nutritional Deficiency in Rice Plants
H Senjaliya, P Gajjar, V Dodia, P Shah, K Bardhan, M Shukla
2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 1-6, 2023
22023
Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
P Gajjar, A Chiejina, VK Shah
arXiv preprint arXiv:2402.09710, 2024
12024
An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI
P Gajjar, M Garg, S Desai, H Chhinkaniwala, HA Sanghvi, RH Patel, ...
IEEE Access, 2024
12024
Enhancing Parkinson's Disease Diagnosis through Deep Learning-Based Classification of 3D MRI Images
S Desai, H Chhinkaniwala, S Shah, P Gajjar
Procedia Computer Science 235, 201-213, 2024
12024
Empirical analysis of hybrid classical variational quantum neural networks for target classification from sar data
P Gajjar, A Saxena, D Ranpariya, P Shah, A Das
Machine Intelligence Techniques for Data Analysis and Signal Processing …, 2023
12023
Possible heuristics and a survey on intelligent software testing
P Gajjar, A Saxena, M Garg, P Shah, M Shukla
Available at SSRN 4398331, 2023
12023
Enhancing graph convolutional networks with variational quantum circuits for drug activity prediction
P Gajjar, Z Zuo, Y Li, L Zhao
Congress on Intelligent Systems, 789-800, 2022
12022
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Artikkelit 1–20