A5092522700- Sentiment Analysis and Opinion Mining
- Technology Adoption and User Behaviour
- Artificial Intelligence in Healthcare
- Imbalanced Data Classification Techniques
- Digital Imaging for Blood Diseases
- Personality Traits and Psychology
- Smart Agriculture and AI
- Misinformation and Its Impacts
- Mental Health Research Topics
- Medicinal Plant Research
- Advanced Neural Network Applications
- Mobile Agent-Based Network Management
- Agricultural and Biological Research
- Natural Language Processing Techniques
- Hearing Impairment and Communication
- Software-Defined Networks and 5G
- Hate Speech and Cyberbullying Detection
- Internet Traffic Analysis and Secure E-voting
- Service-Oriented Architecture and Web Services
- Personality Disorders and Psychopathology
- Vaccine Coverage and Hesitancy
- Spam and Phishing Detection
- Machine Learning in Healthcare
- Image and Video Quality Assessment
- Educational Systems and Policies
Bangladesh University of Business and Technology
2022-2025
East West University
2022
Green University of Bangladesh
2018
Bangladesh University of Engineering and Technology
2017
Emotion detection has become an intriguing issue for researchers because of its psychological, social, and commercial significance. People express their feelings directly or indirectly through facial expressions, language, writing, behavior. An emotion tool is a critical practical way recognizing categorizing moods with various applications. Artificial intelligence often used in research to identify emotions. Machine learning deep algorithms produce high-quality solutions diagnosing...
In the human body, emotion plays a critical func-tion. Emotion is most significant subject in human-machine interaction. economic contexts, detection equally essential. crucial making any decision. Several approaches were explored to determine text. People increasingly use social media share their views, and researchers strive decipher emotions from this medium. There has been some work on text sentiment analysis. Although done which recognized, there are many things improve. not much detect...
The agricultural industry is essential to the world's food production, and it critical use cutting-edge technologies increase crop productivity. We provide a revolutionary Crop Recommendation System (CRS) that utilizes technology maximize output in response pressing need for improvement. Our study incorporates real-time monitoring of soil conditions, made possible by custom hardware configuration includes sensors temperature, humidity, phosphorus, potassium, nitrogen, pH measurements. First,...
Effective disease management and mitigation strategies for fish diseases depend on timely accurate diagnosis. In recent years, artificial intelligence methods—classification algorithms in particular—have become effective instruments automating This paper presents two types of ensemble models: i) the baseline averaged (AE) model ii) novel Performance Metric-Infused Weighted Ensemble (PMIWE) model. By leveraging pre-trained models techniques, we achieve a testing accuracy 97.53%, corresponding...
Mosquitoes, which belong to diverse species, play a significant role in ecological systems and public health. The accurate identification (classification) of mosquito species is essential for comprehensive understanding their roles, behaviors, evolutionary patterns. While numerous studies have attempted classify the based on images, existing works still limitations. Our research focused vector classification deep ensemble transfer learning. Initially, we employed learning via four...
Abstract The detection of hate speech (HS) in online platforms has become extremely important for maintaining a safe and inclusive environment. While significant progress been made English-language HS detection, methods detecting other languages, such as Bengali, have not explored much like English. In this survey, we outlined the key challenges specific to including scarcity labeled datasets, linguistic nuances, contextual variations. We also examined different approaches methodologies...
Abstract This study presents an efficient framework of deriving lemma from inflected Bangla word considering its parts-of-speech as context. is a morphologically rich Indo-Aryan language where around 70% words are inflected, and some have 90 different forms making it one the most challenging languages for lemmatization. The unavailability sufficiently large appropriate dataset in makes task even more strenuous. A reliable robust lemmatizer will create new possibilities other dependent fields...
Mobile banking has rapidly grown in Bangladesh, providing essential financial services to underserved populations, particularly students, through platforms like Rocket (DBBL Banking). This study evaluates the satisfaction level of students at Islamic University regarding Rocket’s mobile services, focusing on service quality, security, perceived cost, and ease use. A descriptive research method was employed, using a structured questionnaire distributed 100 who are users. The survey examined...
The exponential growth of mobile devices, user applications and inclusion diverse technologies stimulated Telecommunication providers (Telco) to establish Content Delivery Network (CDN) infrastructure facilities in order provide video content delivery service its users. function virtualization is the principle technology virtualize CDN resources lease those on demand users different regions where operator has presence. provision Content-Delivery-Network-as-a-Service (CDNaaS) functionality...
Personality is an important psychological structure that responsible for individual differences between people. Social networking site has become the most universally used communication and interaction platform all people over past few years. By predicting personality of a person could be useful in several areas like personalized recommendations, strategies marketing, business intelligence, sociology, human resources management, mental diagnosis. Predicting with help social media data...
Management of information different types household service provider is often difficult for a receiver due to communication gap between and receiver. As result, not only receivers face an unexpected trouble but also providers fail get their jobs according skills. A generic platform providing two way can eliminate the exhausting efforts searching suitable ensures intended job provider. feedback based rating system improve skills any eventually better service.