Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning–A Bibliometric Analysis

J Chaki, G Deshpande - Current neuropharmacology, 2024 - benthamdirect.com
Background and Objective: Brain disorders are one of the major global mortality issues, and
their early detection is crucial for healing. Machine learning, specifically deep learning, is a …

Fuzziness based semi-supervised deep learning for multimodal image classification

A Asma, DN Mostafa, K Akter, M Mahmud… - … Conference on Machine …, 2022 - Springer
Predicting a class or label of text-aided image has practical application in a range of
domains including social media, machine learning and medical domain. Usually, supervised …

A machine-learning approach to classify depressive posts from Reddit social media

AW Quader, MS Jamil, MI Uddin… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Depression leading to suicide has become a major concern in our society. It's high time to
investigate the reason behind it. As numerous people are expressing their concerns …

Stock price prediction using semi-supervised ridge regression

MJA Patwary, MJ Karim, SI Hamim, M Sifath… - International Conference …, 2022 - Springer
Stock price prediction is the technique of predicting the future values of a stocks or other
financial instruments traded on any exchange. Stock price prediction using machine …

A novel fuzzy semi-supervised learning approach for the classification of colorectal cancer (fssl-crcc)

S Karim, MJA Patwary, MS Hossain… - … Conference on Applied …, 2022 - Springer
Colorectal Cancer (CRC) is a form of cancer that develops in the colon or rectum. It is also
referred as bowel cancer, colon cancer, or rectal cancer. CRC has become the second most …

Depressive Post Classification using Transformer Models

I Newaz, AW Quader… - 2023 26th International …, 2023 - ieeexplore.ieee.org
In our rapidly evolving contemporary world, mental health is of paramount importance,
alongside physical well-being. There has been a concerted effort to raise awareness about …

Fuzziness-Based Semi-Supervised Learning for Early Detection of Alzheimer's Disease using MRI data

UH Bushra, FC Priya… - 2023 26th International …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurodegenerative condition that erodes memory
and cognitive abilities. It manifests as a gradual decline in cognitive functions, including …

TI-Fusion: A Multimodal Anxiety Disorder Detection Method

M Shadid, MS Afnan… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Anxiety disorder significantly impacts individuals' well-being and daily functioning,
emphasizing the need for early detection and accurate diagnosis. However, relying solely …

Eggplant Yield Prediction Utilizing 130 Locally Collected Genotypes and Machine Learning Model

A Islam, MNI Shanto, MSM Rabby… - … on Computer and …, 2023 - ieeexplore.ieee.org
Accurate crop yield prediction has long been a challenge for the agricultural community, with
significant consequences for food security, farmer livelihoods, and strategic planning …

Expanding AI's Role in Healthcare Applications: A Systematic Review of Emotional and Cognitive Analysis Techniques

PK Nag, A Bhagat, RV Priya - Authorea Preprints, 2024 - techrxiv.org
This systematic literature review (SLR) explores the broad application of Artificial
Intelligence (AI) in healthcare, with a focus on integrating emotional and cognitive analysis …