Browsing by Subject "Accuracy"
Now showing items 1-16 of 16
-
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 ... -
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)Skin diseases represent a significant global health concern, and prompt and pre- cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks (CNNs), in particular, have shown tremendous promise in ... -
Automatic waste classification using deep learning and computer vision techniques
(Brac University, 2023-03)Waste management refers to a system that starts with classifying different kinds of waste and gradually managing it from its inception to its final disposal. Labeling waste in a proper manner can ensure the best outcome ... -
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
(Brac University, 2021-05)The world is changing with the pace of information technology revolution and now a-days anybody can access to the internet including the children. Since birth These 21st century children are able to access to the di erent ... -
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)Skin cancer have been the primary focus of this study, as they are one of the most deadly diseases if not diagnosed and treated early. The study will make it possible for computer science and medical science to work ... -
Detection of pneumonia from chest X-ray images using machine learning
(Brac University, 2023-05)A bacterial infection is the cause of the lung condition known as pneumonia. An essential component of a successful treatment procedure is early diagnosis. Without early diagnosis, pneumonia can be severe or even can cause ... -
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which are data acquisition, preprocessing and classification. ... -
An enhanced CNN model for classifying skin cancer
(Brac University, 2022-01)Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic abnormalities or mutations, rising day by day. Detecting and diagnosing skin cancer in its early stages is expensive and challenging, ... -
Fostering the practice of communicative competence in ESL classrooms
(BRAC University, 2006)In an attempt to make our students literate in international discourse, to make them compete successfully on a national and international level, the demand to teach communicative English is increasing more and more in ... -
A framework for sentiment analysis: a data-driven approach
(Brac University, 2021-06)Internet is free and straightforward access to an immense measure of crude content information that can be mined for sentiment analysis. For a long time, this is being used for market research, user opinion mining, ... -
Gene classification and pattern analysis using data mining and machine learning techniques
(Brac University, 2021-06)Gene classification and pattern extraction from gene sequence data is essential in understanding different gene sequence features. The field of gene expression data analysis has grown in the past few years from being ... -
Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
(Brac University, 2023-09)Maize is one of the most produced crops in the world and a significant contributor to the economy of various countries. Maize leaf diseases can lead to hamper of crop production and eventually reduce profit of agricultural ... -
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. ... -
Music genre classification with convolutional neural network
(Brac University, 2022-01)Today, Music is one of the effective forms of entertainment. Everyday new Music is being composed, and the quantity of Music is increasing day by day. So, it is essential to classify or categorize Music into different ... -
A system to prevent social violence using convolutional neural network
(Brac University, 2023-01)Most women face violence in public and at home, including rape, physical and emo tional abuse, mocking, and harassment. A social violence support system might allow people to seek aid from their friends, or relatives, or ... -
Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
(Brac University, 2023-01)With the dynamic advancement of internet services over the past decade, chatbots, also recognized as conversational agents, have risen to prominence. They are signif icantly acclimated to develop a useful digital expert ...
