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20102026
most citedCOVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

331 citations

Showing cs.LGShow all

6 papers · 1 filter

cs.LG2024★ 1 cited

Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach

Md Zubair, Md. Shahidul Salim, Mehrab Mustafy Rahman +3

Agriculture plays a fundamental role in driving economic growth and ensuring food security for populations around the world. Although labor-intensive agriculture has led to steady…

cs.LG2023★ 38 cited

Big Data$\unicode{x2013}$Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques

Md Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin +2

This article intends to systematically identify and comparatively analyze state-of-the-art supply chain (SC) forecasting strategies and technologies. A novel framework has been pro…

cs.LG2023★ 9 cited

Emotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNN

Md. Ahsan Habib, M. A. H. Akhand, Md. Abdus Samad Kamal

Microblog, an online-based broadcast medium, is a widely used forum for people to share their thoughts and opinions. Recently, Emotion Recognition (ER) from microblogs is an inspir…

cs.LG2021★ 11 cited

Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19

Quazi Adibur Rahman Adib, Sidratul Tanzila Tasmi, Md. Shahriar Islam Bhuiyan +2

COVID-19 pandemic is an ongoing global pandemic which has caused unprecedented disruptions in the public health sector and global economy. The virus, SARS-CoV-2 is responsible for…

cs.LG2021★ 1 cited

Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning

Md. Mohsin Sarker Raihan, Muhammad Muinul Islam, Fariha Fairoz +1

Rest is essential for a high-level physiological and psychological performance. It is also necessary for the muscles to repair, rebuild, and strengthen. There is a significant corr…

cs.LG2021★ 11 cited

Human Activity Analysis and Recognition from Smartphones using Machine Learning Techniques

Jakaria Rabbi, Md. Tahmid Hasan Fuad, Md. Abdul Awal

Human Activity Recognition (HAR) is considered a valuable research topic in the last few decades. Different types of machine learning models are used for this purpose, and this is…