Designing optimal convolutional neural network architecture using differential evolution algorithm

A Ghosh, ND Jana, S Mallik, Z Zhao - Patterns, 2022 - cell.com
Convolutional neural networks (CNNs) are deep learning models used widely for solving
various tasks like computer vision and speech recognition. CNNs are developed manually …

Cosmetics Suggestion System using Deep Learning

S Ray, M Abinaya, AK Rao, SK Shukla… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Today, cosmetics have a big impact on how individuals look. It can be challenging to select
the best skincare item. People can select the ideal product for their skin type using the …

Visual goal human-robot communication framework with few-shot learning: a case study in robot waiter system

G Sawadwuthikul, T Tothong… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
A conventional adopted method for operating a waiter robot is based on the static position
control, where predefined goal positions are marked on a map. However, this solution is not …

Product identification in retail stores by combining faster r-cnn and recurrent neural network

R Ghosh - Multimedia Tools and Applications, 2024 - Springer
Identifying various products on the racks of supermarkets is a very easy task for human
beings. But, when the same identification task is given to a computer vision based system, it …

Multifactorial feature extraction and site prognosis model for protein methylation data

M Khandelwal, R Kumar Rout, S Umer… - Briefings in …, 2023 - academic.oup.com
Integrated studies (multi-omics studies) comprising genetic, proteomic and epigenetic data
analyses have become an emerging topic in biomedical research. Protein methylation is a …

[PDF][PDF] Sentiment Analysis with Tweets Behaviour in Twitter Streaming API.

K Chouhan, M Yadav, RK Rout, KS Sahoo… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
Twitter is a radiant platform with a quick and effective technique to analyze users'
perceptions of activities on social media. Many researchers and industry experts show their …

An effective optimization method for energy efficient clustering in EH wireless sensor networks

AD Gupta, RK Rout - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Wireless sensor network is a self-organizing network that connects distributed sensors to
specific location and relay sensory information to the sink.[1]. We suggest a variety of …

Incremental-based YoloV3 model with hyper-parameter optimization for product image classification in E-commerce sector

M Dutta, A Ganguly - Applied Soft Computing, 2024 - Elsevier
Over the past few years, the E-commerce industry has grown tremendously for selling
products to consumers. Here, the consumer can easily purchase the products from their …

Identification of discriminant features from stationary pattern of nucleotide bases and their application to essential gene classification

RK Rout, S Umer, M Khandelwal, S Pati, S Mallik… - Frontiers in …, 2023 - frontiersin.org
Introduction: Essential genes are essential for the survival of various species. These genes
are a family linked to critical cellular activities for species survival. These genes are coded …

The extent of the teacher academic development from the accreditation evaluation system perspective using machine learning

ASK Rashid - Journal of Experimental & Theoretical Artificial …, 2023 - Taylor & Francis
The purpose of this study to utilising Machine learning to discover knowledge which is called
supervised and unsupervised learning when it is taught the actual outcome for the training …