Designing optimal convolutional neural network architecture using differential evolution algorithm
Convolutional neural networks (CNNs) are deep learning models used widely for solving
various tasks like computer vision and speech recognition. CNNs are developed manually …
various tasks like computer vision and speech recognition. CNNs are developed manually …
Cosmetics Suggestion System using Deep Learning
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 …
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 …
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 …
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
Integrated studies (multi-omics studies) comprising genetic, proteomic and epigenetic data
analyses have become an emerging topic in biomedical research. Protein methylation is a …
analyses have become an emerging topic in biomedical research. Protein methylation is a …
[PDF][PDF] Sentiment Analysis with Tweets Behaviour in Twitter Streaming API.
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 …
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
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 …
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 …
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
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 …
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 …
supervised and unsupervised learning when it is taught the actual outcome for the training …