Efficient 3D AlexNet architecture for object recognition using syntactic patterns from medical images

S Rani, D Ghai, S Kumar… - Computational …, 2022 - Wiley Online Library
In computer vision and medical image processing, object recognition is the primary concern
today. Humans require only a few milliseconds for object recognition and visual stimulation …

[PDF][PDF] Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance.

S Kumar, MA Haq, A Jain, CA Jason… - … , Materials & Continua, 2023 - researchgate.net
Day by day, biometric-based systems play a vital role in our daily lives. This paper proposed
an intelligent assistant intended to identify emotions via voice message. A biometric system …

Object detection and recognition using contour based edge detection and fast R-CNN

S Rani, D Ghai, S Kumar - Multimedia Tools and Applications, 2022 - Springer
Object detection is a technique of computer vision whose primary intent is to detect objects.
The objects can be detected from any image or video feeds. Now a day's object detection is …

[Retracted] Object‐Based Image Retrieval Using the U‐Net‐Based Neural Network

S Kumar, A Jain, A Kumar Agarwal… - Computational …, 2021 - Wiley Online Library
Day by day, all the research communities have been focusing on digital image retrieval due
to more internet and social media uses. In this paper, a U‐Net‐based neural network is …

[HTML][HTML] Reconstruction of simple and complex three dimensional images using pattern recognition algorithm

S Rani, D Ghai, S Kumar - Journal of Information Technology …, 2022 - jitm.ut.ac.ir
The reconstruction of 3D images is always a difficult task for the researchers. The 3D
reconstruction of the image is a core technique of various fields such as Computer graphics …

Scene text recognition based on bidirectional LSTM and deep neural network

MVVP Kantipudi, S Kumar… - Computational …, 2021 - Wiley Online Library
Deep learning is a subfield of artificial intelligence that allows the computer to adopt and
learn some new rules. Deep learning algorithms can identify images, objects, observations …

Automatic detection of brain tumor from CT and MRI images using wireframe model and 3D Alex-Net

S Rani, S Kumar, D Ghai… - … Conference on Decision …, 2022 - ieeexplore.ieee.org
Automatic detection of brain tumors from CT and MRI images is always an effortful task
because of the complexity and heterogeneous images. Many neural networks architecture …

An effective contour detection based image retrieval using multi-fusion method and neural network

R Raja, S Kumar, S Choudhary, H Dalmia - 2021 - researchsquare.com
Day by day, rapidly increasing the number of images on digital platforms and digital image
databases has increased. Generally, the user requires image retrieval and it is a challenging …

Automatic music generation system based on RNN architecture

S Kumar, K Gudiseva, A Iswarya, S Rani… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Musicians or artists build on what has been generated utilizing the system and bring their
original work. Music composition is an exciting topic that helps us to realize the composer's …

Automatic Face Mask Detection Using Deep Learning-Based Mobile-Net Architecture

S Kumar, S Rani, A Jain, M Kumar… - 2023 6th International …, 2023 - ieeexplore.ieee.org
COVID-19 affects public health and economies around the world. Proper wearing of masks
plays a vital role in daily life to overcome this epidemic situation. To reduce human …