Stebėti
Jewel Sengupta
Jewel Sengupta
Ph.D. student at Kaunas University of Technology
Patvirtintas el. paštas ktu.edu
Pavadinimas
Cituota
Cituota
Metai
A block bi-diagonalization-based pre-coding for indoor multiple-input-multiple-output-visible light communication system
P Subramani, GB Rajendran, J Sengupta, R Pérez de Prado, ...
Energies 13 (13), 3466, 2020
1172020
Collision-aware routing using multi-objective seagull optimization algorithm for WSN-based IoT
P Jagannathan, S Gurumoorthy, A Stateczny, PB Divakarachar, ...
Sensors 21 (24), 8496, 2021
752021
Deep learning-based improved WCM technique for soil moisture retrieval with satellite images
GS Nijaguna, DR Manjunath, M Abouhawwash, SS Askar, DK Basha, ...
Remote Sensing 15 (8), 2005, 2023
692023
An Empirical Analysis on Detection and Recognition of Intra-Cranial Hemorrhage (ICH) using 3D Computed Tomography (CT) images
J Sengupta, R Alzbutas, H Kl
2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 1-5, 2022
472022
Intracranial hemorrhages segmentation and features selection applying cuckoo search algorithm with gated recurrent unit
J Sengupta, R Alzbutas
Applied Sciences 12 (21), 10851, 2022
372022
Automated Inception Network based Cardiac Image Segmentation Analysis
J Sengupta, D Hemalatha KL
International Journal of Advanced Science and Technology (Indexed by Scopus), 2020
292020
Intracranial Hemorrhage Recognition in 3D Computerized Tomography Images using Bi-directional Long Short-term Memory Network based Modified Genetic Algorithm
J Sengupta, R Alzbutas, P Falkowski-Gilski, B Falkowska-Gilska
Frontiers in Neuroscience 17, 1200630, 2023
23*2023
IoT-Healthcare Based Model for Heart Diseases Classification
PK Pareek, R Deepak, KL Hemalatha, J Sengupta
2023 International Conference on Applied Intelligence and Sustainable …, 2023
212023
Prediction and Risk Assessment Models for Subarachnoid Hemorrhage: A Systematic Review on Case Studies
RA Jewel Sengupta
BioMed research international 2022 (1), 5416726, 2022
122022
Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm. Journals
S Jewel, A Robertas, FG Bożena
Journals, Frontiers in neuroscience 17 (1200630-1200630), 2023
42023
Detection of Subarachnoid Hemorrhage Using CNN with Dynamic Factor and Wandering Strategy-Based Feature Selection
J Sengupta, R Alzbutas, T Iešmantas, V Petkus, A Barkauskienė, ...
Diagnostics 14 (21), 2417, 2024
2024
Deep Learning-Based Intracranial Hemorrhage Detection in 3D Computed Tomography Images
J Sengupta, R Alzbutas
International conference on WorldS4, 219-226, 2024
2024
Cerebrospinal fluid volume as an early radiological factor for clinical course prediction after aneurysmal subarachnoid hemorrhage. A pilot study
V Ratkunas, E Misiulis, I Lapinskiene, G Skarbalius, R Navakas, ...
European Journal of Radiology 176, 111483, 2024
2024
Investigation of Deep Learning Models for Analysis of Heart Disorders in Smart Health Care based IoT Environment
J Sengupta
Journal of Smart Internet of Things 2024 (1), 1-16, 2024
2024
Rooftop Photovoltaic Panel Segmentation using Improved Mask Region-based Convolutional Neural Network
T Soujanya, Z Alsalami, S Srinath, J Sengupta, A Das
2024 Second International Conference on Data Science and Information System …, 2024
2024
Natural Language-Based Machine Learning Models for Information Extraction from Radiology Reports
J Sengupta
International Journal of Science and Research 8 (5), 273-277, 2019
2019
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–16