Our Papers

Research Gate

Published on 2023

Music Recommendation System Using Psychological Scale

Individual music preferences can generally depend on severalfactors, namely demographic data such as gender, age, etc., and morespecific psychological factors like mood and personality. However, whilem

Keep Reading

IEEE

Published on 2023

Deep Transfer Learning Technique for Potato Leaf Diseases Classification

Potato, a globally significant food crop ranking as the fourth largest by production, is cultivated in various regions worldwide. However, potato crops are notably susceptible to fungal infections, le

Keep Reading

IEEE

Published on 2023

Classifying Bangla Health Misinformation from Social Media Using Machine Learning

The growing use of social media platforms offers a means to spread health-related information at an increased rate. However, disseminating health information on social media may be hazardous as the in

Keep Reading

IEEE

Published on 2022

Deep learning-based colon cancer tumor prediction using histopathological images

Colorectal cancer is one of the deadliest diseases and one of the most difficult diseases to diagnose. A big reason for this is that it takes a long time to identify at an early stage. For treatment,

Keep Reading

Research Gate

Published on 2022

Public Perception of Media's Role during COVID-19 Pandemic in Bangladesh

This article represents an example of a non-Western study into the public perception of the mass media’s role during the coronavirus pandemic in Bangladesh, which is of particular importance given the

Keep Reading

PubMed

Published on 2022

Psychological impact of COVID-19 among people from the banking sector in Bangladesh: a cross-sectional study

Despite the pandemic, the Government of Bangladesh decided to keep the banks open to a limited extent to keep the country’s economy afloat. The aim of this study is to assess the psychological impact

Keep Reading

IEEE

Published on 2021

Social media opinion mining based on Bangla public post of Facebook

Social media holds the freedom to express anyone as they are. Still, people fail to follow community standards and cross the boundary of self-limit, hurting other people, sometimes leading to cyberbul

Keep Reading

PubMed

Published on 2021

Assessing the mental health condition of home-confined university level students of Bangladesh due to the COVID-19 pandemic

Aim: The COVID-19 pandemic drove the Government of Bangladesh to shut down educational institutions, which had an enormous effect on the psychological health of students. This study aimed to assess th

Keep Reading

Research Gate

Published on 2020

An Automatic Computer-Based Method for Fast and Accurate Covid-19 Diagnosis

At present, the whole world is witnessing a horrifying outbreak caused by the Coronavirus Disease 2019 (COVID-19). The virus responsible for this disease is called SARS-CoV-2. It affects its victims’

Keep Reading

IEEE

Published on 2019

Unsupervised context-sensitive bangla spelling correction with character n-gram

We propose an unsupervised context-aware spelling error detection and correction method for traditional Bangla written script. The context-aware capability is introduced by generating a representation

Keep Reading

IEEE

Published on 2019

Retinal fundus identification utilizing supervised and unsupervised nature of deep neural network

Eye disease has become serious concern to people, specially who have been suffering from diabetes . Systematic eye diseases are manifest in around the retina of an eye. Digital photography of the reti

Keep Reading

IEEE

Published on 2019

Human Activity Recognition Using Multichannel Convolutional Neural Network

Human Activity Recognition (HAR) simply refers to the capacity of a machine to perceive human actions. HAR is a prominent application of advanced Machine Learning and Artificial Intelligence technique

Keep Reading

IEEE

Published on 2019

Diabetic retinopathy classification with a light convolutional neural network

The number of diabetic patients is increasing rapidly every year all around the world, and the worst fact is that these patients suffer from a wide range of physical conditions directly associated wit

Keep Reading

IEEE

Published on 2017

Histopathological breast-image classification with image enhancement by convolutional neural network

Finding malignancy from Histopathological images is always a challenging task. So far research has been carried out to classify Histopathological images using various techniques and methods. Recently,

Keep Reading

IEEE

Published on 2016

Identifying miRNA-mRNA interactions by a combination of spearman's rank correlation and IDA

It is already discovered that miRNA works as a regulator for the functions and production of mRNA. Malfunctions in this regulatory relationship can lead to different types of genetic life threatening

Keep Reading
wave
Unlock the power

Tailored to Your Industry,
Designed for Results

No Credit Card Required

20 free demos per month

© Copyrights 2024 VISIE Limited. All rights reserved.