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Now showing items 11-20 of 40
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 ...
Personnel security system of nuclear power plants using machine learning for psychological, behavioral and social media activity analysis.
(Brac University, 2018-12)
In this research, a novel Personnel Security Model is designed and demonstrated for detecting
suspicious people in an organization especially for nuclear power plants. The proposed system
composed of three subsystems and ...
Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
(BRAC University, 2018-07)
Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ...
A machine learning approach to credit default prediction and Individual credit scoring
(BRAC University, 2018)
In our country the credit scoring system is not in practice yet so as for our undergrad thesis, we have taken upon the challenge of delivering a model well equipped with machine learning techniques to predict loan defaults. ...
Public vehicle ETA system using machine learning
(BRAC Univeristy, 4/17/2018)
Traffic Jam impact our day to day life in more ways than we can think of. Our system aims to work on that particular problem to reduce the number of vehicles on the road by encouraging more people to get on public transport ...
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 ...
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, ...
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 ...
Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
(BRAC University, 2018-12)
Emotion recognition from facial expression is one of the most popular research sectors in Computer Science for last several years. As face recognition of different people is already established and become very common in ...
Machine learning as an indicator for breast cancer prediction
(BRAC University, 2018-12)
Affecting roughly around 10 percent of the women across the globe in some stage of their
lives,Breast Cancer has stood out to be one of the most feared and frequently occurring
cancers at present among women[1]. While ...