output
20162025
most citedFirst-principles calculations to investigate structural, elastic, electronic, thermodynamic, and thermoelectric properties of CaPdBO (B = Ti, V) perovskite

177 citations

17 papers

cs.CV20251 cited

AI Driven Water Segmentation with deep learning models for Enhanced Flood Monitoring

Sanjida Afrin Mou, Tasfia Noor Chowdhury, Adib Ibn Mannan +4

Flooding is a major natural hazard causing significant fatalities and economic losses annually, with increasing frequency due to climate change. Rapid and accurate flood detection…

cs.CR20242 cited

A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors

Fatama Tuz Johora, Md Shahedul Islam Khan, Esrath Kanon +3

Cyber risk refers to the risk of defacing reputation, monetary losses, or disruption of an organization or individuals, and this situation usually occurs by the unconscious use of…

cs.LG2024

A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors

Forkan Uddin Ahmed, Annesha Das, Md Zubair

The development of an intelligent agricultural decision-supporting system for crop selection and disease forecasting in Bangladesh is the main objective of this work. The economy o…

physics.app-ph2022177 cited

First-principles calculations to investigate structural, elastic, electronic, thermodynamic, and thermoelectric properties of CaPdBO (B = Ti, V) perovskite

M. H. K. Rubel, M. A. Hossain, M. Khalid Hossain +6

This study has explored numerous physical properties of CaPdTiO2 (CPTO) and CaPdVO (CPVO) quadruple perovskites employing the density functional theory…

cs.CV202280 cited

A Real-Time Wrong-Way Vehicle Detection Based on YOLO and Centroid Tracking

Zillur Rahman, Amit Mazumder Ami, Muhammad Ahsan Ullah

Wrong-way driving is one of the main causes of road accidents and traffic jam all over the world. By detecting wrong-way vehicles, the number of accidents can be minimized and traf…

cs.LG20225 cited

An enhanced method of initial cluster center selection for K-means algorithm

Zillur Rahman, Md. Sabir Hossain, Mohammad Hasan +1

Clustering is one of the widely used techniques to find out patterns from a dataset that can be applied in different applications or analyses. K-means, the most popular and simple…