Browsing by Subject "Machine learning."
Now showing items 1-20 of 83
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Alumni opportunities using machine learning
(BRAC University, 2018-12) -
Application of machine learning in credit risk assessment: a prelude to smart banking
(BRAC University, 2018-12)A precise credit risk assessment system is vital to a financial institution for its proper and impeccable functioning. Accurate estimations of credit risk will allow them to continue their operation in a gainful and ... -
Application of machine learning techniques on the context of livestock analysis
(BRAC University, 2018-08)Livestock industry has been one of the fastest growing sectors of business and research in Bangladesh over the past decade. This rising, lucrative and profitable industry seems to be attracting a good number of enthusiastic ... -
An artificial intelligence-enabled crop recommendation system
(Brac University, 2023-01)Our country is overburdened with a population of more than 160 million. So fulfilling the need for food for the whole population can be overwhelming. This research has been conducted to ensure maximum efficiency in ... -
Bangla natural language inference
(Brac University, 2024-06)Natural Language Inference (NLI) plays a vital role in our interpretation of textual data. Understanding texts is often difficult due to the logical and contextual motivations behind them. However, with the help of a ... -
Bangla speech to text conversion using CMU sphinx
(Brac University, 2019-08)Speech is the most normal type of communication and association between people while content (text) and images are the most basic types of exchange in the computer system. Therefore, enthusiasm in regards to transformation ... -
Classification of potato and corn leaf diseases using deep learning
(Brac University, 2024-06)One of the major hindrances to sustainable agriculture and an imminent threat to food security is plant disease. Constantly monitoring a plant’s health and spotting the problems in it is quite painstaking because it ... -
Classifying insect pests from image data using deep learning
(Brac University, 2022-01)The fact that insecticidal pests impair significant agricultural productivity has become one of the main challenges in agriculture. There are, nevertheless, several requirements for a high-performing automated system ... -
Comparative analysis of efficient deep learning models for breast cancer identification using relevant genes
(BRAC University, 2024-10)Cancer remains a formidable global health challenge, with early detection critical in improving patient outcomes. In this context, applying deep learning techniques to relevant gene analysis has emerged as a promising ... -
Comparative analysis of machine learning techniques in optimal site selection
(Brac University, 2023-01)Site selection is a crucial aspect of many businesses, as a company’s location can sig nificantly impact its success. In recent years, machine learning techniques have been increasingly used to assist with optimal site ... -
Comparison of machine learning techniques to predict cardiovascular disease
(BRAC University, 2018-12)The purpose of this thesis is to examine and compare the accuracy of different data mining classication systems through different machine learning techniques to predict cardiovascular disease. This comparison shows the ... -
A comprehensive hybrid framework for Parkinson’s disease detection: integrating handcraft features along with deep learning-based feature extraction with variational autoencoder and traditional machine learning techniques for classification
(BRAC University, 2024-10)Neurodegenerative disorders, such as Parkinson’s disease, present a significant medical challenge, necessitating innovative approaches for detection. This thesis introduces a comprehensive hybrid framework that combines ... -
Conversational AI for companionship
(Brac University, 2022-05)The conversational style of a human is estimated by humor, personality, voice tone, etc. These characteristics are necessary for virtual assistants that are artificially intelligent for conversation. This research ... -
A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
(Brac University, 2020-04)In today's world, technological advancements have entangled our nancial, social and many more other aspects of lives to the internet or some network. Moreover, with the development of IoT technologies, it has spread ... -
Criminal activity detection using deep learning algorithms
(Brac University, 2021-01)Criminal activities using guns and knives occur very frequently. The quick and accurate detection of a criminal activity is paramount to securing a place where people usually gather every day. More and more security ... -
Curious learner: a generative neuro-symbolic approach for function execution & illustration using natural language
(Brac University, 2024-02)Generative models possess immense potential, but their ability to perform complex calculations is limited by the need to memorize vast amounts of data, leading to computational inefficiencies. Leveraging tools like the ... -
Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
(Brac University, 2024-05)In this thesis, for classification of sleep stages, we use deep learning techniques with the help of data from fMRI and EEG. The ConvLSTM models are applied for the fMRI data. The data for the EEG is worked on with the ... -
Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
(Brac University, 2023-01)When a person plans to buy or sell a car in an overly-crowded second-hand market, it is often difficult to estimate accurate prices. People are frequently duped by scalpers into purchasing cars that are not worth the base ... -
Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
(Brac University, 2020-04)Depression is accorded as one of the leading causes to all the problems related to mental health in the Global disease burden study (GBD). Major depressive disorder (MDD) is when this depression reaches to a larger extent, ... -
Detecting propagandistic poster title: a machine learning approach
(Brac University, 2024-03)Detecting propagandistic content is crucial in today’s digital age where misinformation spreads rapidly. In this study, we propose a machine learning approach aimed at identifying propaganda in poster titles. Our methodology ...
