Browsing by Subject "Machine learning."
Now showing items 1-20 of 50
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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 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 ... -
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 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 ... -
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 ... -
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 self-esteem level and depressive indication due to different parenting style using supervised learning techniques
(Brac University, 2022-05)Uprising a child is a psychological construct of parents, which is a combination of factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have ... -
Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
(BRAC University, 2018-12)Cancer starts when cells of body begin to grow rapidly. Cells in nearly any part of the body can become cancer and can spread to other areas of the body. The origin of Chronic Lymphocytic Leukemia (CLL) in the bone marrow ... -
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
(Brac University, 2021-09)Intracranial hemorrhage is an acute bleeding within the skull which can damage the brain tissue and can eventually lead to disability or even death. It is a serious medical condition that occurs when blood is built up ... -
Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
(Brac University, 2021-06)Machine Learning has gotten attention in the healthcare industry for the competences to ameliorate disease prediction. Machine learning has already been used in the health sector. Diabetes can also trigger the permanent ... -
Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
(Brac University, 2022-09)The stock market is unstable and generally unpredictable, as any one of us could have predicted. Researchers have been experimenting with time-series data to forecast future values for many years, with stock valuation ... -
Early detection of breast cancer using machine learning
(Brac University, 2018-12)Breast cancer is the most common cancer among women but in can occur in both the genders. It is accountable for an appalling number of deaths worldwide. In a particularly low-resource developing country like Bangladesh, ... -
EMG controlled bionic robotic arm using artificial intelligence and machine learning
(Brac University, 2020-04)Electromyography is a unique approach for recording and analyzing the electrical activity generated by muscles, and a Myo-electric controlled prosthetic limb is an outwardly controlled artificial limb which is controlled ... -
Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator
(Brac University, 2021-09)There are numerous numbers of issues in society, one of which is crime. While crime refers to a wide range of deliberate, unlawful behaviors, the most archetypal ones involve murder, threatening and violent activities. Its ...