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An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
(BRAC University, 2015-08)
Word sense disambiguation is a significant task in natural language processing and addresses an old problem in the field of computational linguistics. Word sense disambiguation facilitates tasks like machine translation, ...
An effective machine learning approach for sentiment analysis of restaurant reviews
(BARC University, 2016-08)
Sentiment analysis or opinion analysis is creating a vast area of research in this modern era of social media. Various blogs and Social Medias (Facebook, twitter, Instagram) are the most popular platform for the users or ...
Crowed source based traffic analysis using machine learning algorithm
(BRAC University, 2017-08-21)
One of the most detrimental effects to our economy currently is most certainly Traffic jam. Be it in a public vehicle or private, valuable work hours (around 3.2 million per day) is wasted everyday while waiting in the ...
A machine learning approach to predict crime using time and location data
(BRAC University, 2017-04-18)
Recognizing the patterns of criminal activity of a place is paramount in order to prevent it. Law enforcement agencies can work effectively and respond faster if they have
better knowledge about ...
Predictive location generation using machine learning approach
(BRAC University, 2017-08-21)
Predicting future locations by analyzing past data is not new. Giants like Google, Yahoo or Amazon all use their own machine learning algorithms to generate it but these companies use the data for business purposes as a ...
Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
(BRAC University, 2018)
The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ...
Blood donation application with implementation of machine learning
(BRAC University, 2018-04)
Blood is one of the most important elements of human body. Blood can be defined as the fluid we have in our bodies that carries oxygen from the lungs to the rest of the body. It also carries waste to be eliminated from the ...
A novel approach to forecast traffic congestion using CMTF and machine learning
(BRAC University, 2018-04)
Traffic congestion severely affects many cities around the world causing various problems
like fuel wastage, increased stress levels, delayed deliveries and monetary losses. Therefore, it is
urgent to make an accurate ...
A machine learning approach on classifying orthopedic patients based on their biomechanical features
(BRAC University, 2018-04)
A person’s orthopedic health condition can be detected from his biomechanical features. Application of machine learning algorithms in medical science is not new. Different algorithms are applied to detect diseases and ...
Start up business solution using machine learning
(BRAC University, 2018-04)
In the present time data science and artificial intelligence is taking charge of every aspect in our life to make our lives more easy and comfortable. Machine learning is an approach to achieve artificial intelligence and ...