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Fruit and vegetable freshness detection using deep learning
(Brac University, 2022-09)
Bangladesh’s economy depends on agriculture, which contributes significantly to
GDP. It’s time to automate agriculture for increased productivity, efficiency, and
sustainability. Computer Vision can assist in ensuring ...
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)
The application of Arti cial intelligence (AI) has become a valuable part of medical
research. These days diabetes is one of the top maladies on the planet. Nowadays
it has become a common disease and alarming as people ...
Machine learning based data processing and latency reduction in the internet of things for agriculture
(BRAC University, 2018-12)
The Internet of Things is best stated as a network of “things” that have the ability to generate
and share information between themselves and interact with the environment according to the
percepts from this environment. ...
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 ...
Text classification using machine learning algorithms
(BRAC University, 8/2/2018)
Financial, educational and communal activities produce enormous amount of data. Automatic text classification has significant application in content organization, point of view extraction, evaluation analysis, spam filtering ...
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 ...
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, ...
Understanding university students’ fast food consumption behavior and associated health concern
(BRAC University, 2018)
The aim of this research is to investigate the potential measurement of fast food consumption behaviour and the health hazard factor associated with it. Fast food consumption is getting more popular in Bangladesh, and we ...
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 ...
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 ...