Browsing by Subject "Convolutional neural network"
Now showing items 1-19 of 19
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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 ... -
Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
(Brac University, 2021-06)This paper describes design of affordable intelligent glass for visually impaired. A significant number of people are visually impaired or blind among the total population of Bangladesh. Most of them relied on others ... -
Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the strongest of souls. The disease is often thought of as untreatable and unbearably painful, with usually, no cure available. Among all the ... -
Best feature selection and data visualization for breast cancer prediction
(Brac University, 2019-09)Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a signifcant public health ... -
Classification of peripheral blood cell images using deep learning
(Brac University, 2023-01)Diagnosis and Identification of cells and disease infected cells are and important part of in medical science that bears huge significance even today. There are health implications can often be identified my observing ... -
Crime scene prediction by detecting threatening objects using convolutional neural network
(BRAC University, 4/13/2017)Crime scene prediction without human intervention can have outstanding impact on computer vision. In this paper, we present CNN in the use of detect knife, blood and gun in order to reach a prediction whether a crime has ... -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ... -
Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
(Brac University, 2018-07)This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like ... -
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 ... -
Diabetic retinopathy detection and classification by using deep learning
(Brac University, 2022-01)Eyes are the most sensitive part of a human being and it is one of the most challenging tasks for a computer-aided system to classify its diseases. Many visionthreatening diseases such as, Glaucoma and Diabetic Retinopathy ... -
Dynamic image analysis for abnormal behavior detection
(BRAC University, 4/18/2017)Our world is now in such developing state where security is more of a concern rather than privacy for an individual. Nowadays, abnormal behavior detection system plays a very important role in various sectors such as, ... -
Early detection of diabetic retinopathy using deep learning techniques
(Brac University, 2021-10)We, humans, are the bearer of diseases. While most of them have a thoroughly researched and contemplated solution set, some of them do not. Diabetes is one of those common diseases that do not have a clear solution but ... -
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
(Brac University, 2022-05)Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal problems that can be used in combination with traditional diagnostic testing methods. We developed and implemented a deep Convolutional ... -
Epileptic seizure prediction using bandpass filtering and convolutional neural network
(Brac University, 2022-01)Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical disturbance in the brain. Seizures that last for a long time might result in memory loss, weariness, photo sensitivity, paralysis, ... -
Rating detection by reviews using ML and NLP towards mobile phone recommendation
(Brac University, 2023-01)Product recommendation is a type of marketing tool that has become increasingly important for businesses as well as in purchasing goods in the digital age. Prod uct recommendation is the process of suggesting items to ... -
Tomato leaf disease detection using convolutional neural network
(Brac University, 2023-01)The fertile soil and easy access to water make agriculture more suitable and valu able for Bangladesh. Most people are directly or indirectly dependent on agricultural products for their livelihood. Agriculture plays an ... -
Towards solving perception based autonomous driving assistant system
(Brac University, 2021-09)This thesis scrutinizes the problem of perception in the self-driving car system. Selfdriving car is the face of the future and the decade’s research focus. Tech giants like Google, Uber, Tesla, Commai, Intel MobilEye ... -
Visual object classification from fMRI data
(Brac University, 2022-01)Computing devices were once limited in just calculating arithmetic. Whereas, in modern computing, complex task like object classi cation or recognition has become so popular that even our smart devices cannot be thought ... -
Visual object recognition using deep convolutional neural network
(BRAC University, 2017)Visual object recognition has been lying at the convergence point between machine learning, computer vision and AI since the very beginning. From robotics to information retrieval, many desired applications demand the ...
