The dataset consists of survey data on pedestrian crosswalk usage behavior in high-density urban areas of a developing country, specifically collected from Dhaka, the capital city of Bangladesh. Data were gathered through ...

Manual identification of tomato leaf diseases is a time-consuming and laborious process that may lead to inaccurate results without professional assistance. Therefore, an automated, early, and precise leaf disease recognition ...

Job stress and management process alignment can influence work attitudes and productivity; however, there is still no empirical evidence addressing how these factors influence customer service quality in banking industry. ...

Papaya is a popular vegetable and fruit in both developing and developed countries. Nonetheless, Bangladeshʼs agricultural landscape is significantly influenced by papaya cultivation. However, disease is a common impediment ...

AgNPs embedded polymer-clay (AgNPs@PEI-HNT) nanocomposites were successfully employed to sensitively detect hydrazine in water samples using differential pulse voltammetry (DPV) and amperometry methods. In-situ polymerization ...

Microplastics (MPs) and heavy metals (HMs) pollution pose significant environmental threats by accumulating in marine species, leading to potential health risks for marine life and humans consuming contaminated seafood. ...

High security and high reliability identification methods are desired in unmanned aerial vehicle (UAV) swarms. An identification method for UAVs based on optical spectrum modulation is proposed by using narrow-linewidth ...

Global municipal solid waste production is rising, causing significant environmental, health, and economic issues. Developed countries have advanced recycling technologies, but cities like Dhaka, Bangladesh—among the most ...

Cervical cancer is one of the most widespread ovarian cancers in the world. It is linked up with multiple risk factors such as Sexually transmitted diseases, human papillomavirus and smoking. Death rate can be reduced if ...

This paper presents a novel method for predicting insurance claims by utilizing artificial intelligence, specifically a deep learning model within the Convolutional Neural Network (CNN) framework. The purpose is to automate ...