A5058250299- Energy Load and Power Forecasting
- Emotion and Mood Recognition
- Water resources management and optimization
- Stock Market Forecasting Methods
- Hydrology and Watershed Management Studies
- Face and Expression Recognition
- Sentiment Analysis and Opinion Mining
- Hydrological Forecasting Using AI
- Electric Power System Optimization
- Advanced Text Analysis Techniques
- EEG and Brain-Computer Interfaces
- Online and Blended Learning
- Hydrology and Drought Analysis
- Water Quality and Pollution Assessment
- Speech and Audio Processing
- Text and Document Classification Technologies
Public Works Research Institute
2024
National Graduate Institute for Policy Studies
2024
Ahsanullah University of Science and Technology
2009-2021
United International University
2020
The Sangu River basin significantly contributes to national economy significantly; however, exposures water-related hazards are frequent. As it is expected that disasters will increase manifold in the future due global warming, Government of Bangladesh has formulated Delta Plan 2100 (BDP-2100) enhanced climate resilience. Accordingly, this study assessed hydro-meteorological characteristics under changing climate. This scientifically selected five General Circulation Models (GCMs) include...
The Sangu river basin contributes to national economy significantly; however, exposures water-related hazards frequently. As it is expected that disasters will increase manifold in the future due global warming, Government of Bangladesh has formulated Delta Plan 2100 (BDP-2100) enhanced climate resilience. Accordingly, this study assessed hydro-meteorological characteristics River under changing climate. This scientifically selected five General Circulation Models (GCMs) include model...
Understanding emotion from documents automatically is an interesting research topic in the machine learning field. Nowadays, many applications like email, blog, etc have ability to suggest joyful or angry expressions written documents. In spite of being a popular language, Bangla lacks rich corpus with annotated labels, so recognizing still not developed as other languages. this work, we proposed new dataset containing annotation three emotions- Happy, Sad and Angry. Two major feature...
Load Forecasting has an important role in load generation, scheduling, planning etc. power system. Different computational intelligent techniques are used Short Term (STLF) to make it more effective. Neural Networks (NN) is effective mapping algorithm that can map complex input-output relationships, which technique do STLF having existing dataset. Usually a proper NN sufficient achieve accepted level of performance. But different dataset may bear some irregular nature demand scenario due...
Human-Computer Interaction is one of the most progressive technology recent times, and speech emotion recognition factors working behind this technology. The communication between two humans via verbal expressions a tough process when about to be implemented on robots or any system. If robot system cannot recognize that it receives from speech, will disastrous situation. This article shows some Machine Learning Deep approaches for recognizing emotions speech. In paper, many algorithms were...
This paper presents the development of an Artificial Neural Networks and Particle Swarm Optimization (ANN-PSO) based short-term load forecasting model with improved generalization technique for Regional Power Control Center Saudi Electricity Company, Western Operation Area (SEC-WOA). Weather, demand, wind speed, direction, heat, sunlight, etc. are quite different in a desert land than other places. Thus this is from typical considering inputs outputs. In research two steps have been...
Recognition of emotions from the speech is one most researched topics now a days in field signal processing and human machine interaction system. Unlike humans, machines have lacking ability to perceive show emotions. However, human-computer can be improved with recognition automation system by reducing need for access. In this research paper, method emotion presented using Neural Network (NN) Mel Frequency Cepstral Coefficients (MFCC) features. Berlin Emotional Speech dataset (EmoDB) used...