Browsing by Subject "Machine learning"
Now showing items 1-20 of 382
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Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
(Brac University, 2022-06-05)There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ... -
An advanced healthcare android application with machine learning
(BRAC University, 2018)In this thesis, an advanced healthcare application on android platform is proposed and demonstrated using machine learning techniques. This advance healthcare application allows the user to conduct critical prognosis based ... -
An advanced hospital rating system using machine learning and natural language processing
(Brac University, 2023-05)Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately, there is no reliable metric or resource available online to determine which hospital is better. Patients and their peers often find it ... -
Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning
(Brac University, 2020-09)Bangladesh is predominately an agriculture-based country, which faces uncertain crop yields and inefficient farming infrastructure resulting in adverse effect in food security. Habiganj is selected as the study area because ... -
Alumni opportunities using machine learning
(BRAC University, 2018-12) -
Analysis of deep learning models on low-light pest detection
(Brac University, 2022-09-28)It is undeniable that in recent years, exceptional progress has been made toward building the most accurate and efficient object detectors. However, existing low- light object detectors still require a substantial amount ... -
Analysis of software fault prediction using machine learning algorithm
(Brac University, 2021-01)Today software performs a requisite role in our daily lives. Software's complexity keeps growing. The increasing complexity of any software system making it very di cult to improve its quality. The performance of the ... -
Analysis of the impact of online education using EEG signals and machine learning algorithms
(Brac University, 2021-01)Online learning has allowed students from different walks of life to access a vast amount of information, allowing them to gain new skills. However, only having access to that information does not mean that the students ... -
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, ... -
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
(Brac University, 2019-08)Despite signi cant recent achievements in the eld of face recognition, implementing proper face recognition system by training enough data is still a problem because not everyone has enough photos that we can use to ... -
Analyzing area-wise air pollution level using machine learning for a better future
(Brac University, 2021-09)Environment consists of nature and surroundings where all living beings co-exist. Harming the environment will in turn harm all living and non-living things alike. One of the major concerns of environment pollution is ... -
Analyzing CV/resume using natural language processing and machine learning
(BRAC University, 2017)This paper proposes a model of extracting important information from the semi-structured text format in a curriculum vitae or resume and ranking it according to the preference of the associated company and requirements. ... -
Analyzing optimization landscape of recent policy optimization methods in deep RL
(Brac University, 2022-05)In this work we will analyze control variates and baselines in policy optimization methods in deep reinforcement learning (RL). Recently there has been a lot of progress in policy gradient methods in deep RL, where ... -
Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
(Brac University, 2024-01)Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ... -
Analyzing the security of e-Health data based on a hybrid federated learning model
(Brac University, 2023-01)This research aims to provide an approach for analyzing the security of the e-health care system through the use of federated learning and the pre-processing of distinct deep learning models. The infrastructure for ... -
An android application to predict human activity using a deep learning LSTM model
(Brac University, 2023)The machine learning approach to estimate human activity using smartphone sensor data is challenging. In this project, the HAR approach is conducted based on the LSTM model and can recognize six different behaviors, i.e., ... -
Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
(Brac University, 2022-01)Anomalous and violent action detection has become an increasingly relevant topic and active research domain of computer vision and video processing, within the past few years. It has many proposed solutions by the ... -
Anomaly detection In IoT using machine learning algorithms
(Brac University, 2019-08)Internet of Things (IoT) is growing as one of the fastest developing technologies around the world. With IPv6 settling down, people have a lot of addressing spaces left that even allows sensors to communicate with each ... -
Anti-aliasing for real-time applications in 3D using deep convolutional neural network
(Brac University, 2020-04)In this paper we present a convolutional neural network model for solving the long- standing aliasing problem in the real time 3D graphics industry. Aliasing refers to the problem of having hard jagged edges in the ... -
Application of CNN based architectures in detection of distracted drivers
(Brac University, 2022-08)Distracted driving is known to be one of the most significant reasons behind the occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of road accidents due to distracted driving has been increasing ...
