A5090176458- Identification and Quantification in Food
- Spectroscopy and Chemometric Analyses
- Energy Load and Power Forecasting
- Animal Vocal Communication and Behavior
- Dye analysis and toxicity
- Job Satisfaction and Organizational Behavior
- Currency Recognition and Detection
- Customer churn and segmentation
- Traffic Prediction and Management Techniques
- Stock Market Forecasting Methods
- Advanced Manufacturing and Logistics Optimization
- Smart Agriculture and AI
- Consumer Retail Behavior Studies
- Customer Service Quality and Loyalty
- Optimization and Search Problems
- Wildlife-Road Interactions and Conservation
- Advanced Chemical Sensor Technologies
- Optimization and Packing Problems
Daffodil International University
2023-2025
Bangladesh University
2024
Bangladesh University of Professionals
2024
Formaldehyde (CH₂O) is one of the significant chemicals mixed with different perishable fruits in Bangladesh. The are artificially preserved for extended periods by dishonest vendors using this dangerous chemical. Such substances complicated to detect appearance. Hence, a reliable and robust detection technique required. To overcome challenge address issue, we introduce comprehensive deep learning-based techniques detecting toxic substances. Four types fruits, both fresh chemically...
This study aims to investigate the factors influencing job satisfaction among university teachers, considering various complex constructs such as salary and financial benefits, career growth opportunities, relationships with colleagues, recognition, working environment, leadership. Utilizing a quantitative cross-sectional research design, present was conducted in Bangladesh between August December 2022. Encompassing 7 public universities 12 private universities, purposively sampled 95...
Contamination of harmful additives in fruits has become a concerning norm these days. Owing to the great popularity fruits, dishonest vendors frequently use chemicals contaminate extend their shelf life, which is extremely dangerous for general public's health. To mitigate this issue, machine-learning algorithms like Decision Tree Classifier, Naïve Bayes and deep learning model named "DurbeenNet" are evaluated separately. Alongside, computer vision-based detection method coupled with hybrid...
Customer churn is a major challenge faced by e-commerce companies, as it leads to loss of revenue and decreased customer loyalty. In recent years, for predicting reducing client machine learning techniques are powerful tools. This research aims explore the use algorithms churn, annual spending, product on-time delivery in e-commerce. The study first conducted comprehensive review literature on learning. showed that has been predicted successfully using variety algorithms, including support...
<span lang="EN-US">The prediction of stock market trends is a challenging task due to its dynamic and volatile nature. Research has shown that predicting the market, especially in developing nations like Bangladesh, presence multiple external factors addition technical ones. To address this, this study proposed novel dataset includes not only data from 2014 2021, but also such as news sentiment other economic indicators inflation, gross domestic product (GDP), exchange rate, interest...