Browsing by Subject "Deep learning"
Now showing items 21-40 of 129
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Blockchain-based traffic surveillance footage authenticity detection system
(Brac University, 2023-01)With the advancement in technology, fraudulent videos are becoming harder to de tect and easier to produce. Surveillance footage can serve as circumstantial evidence when dealing with crimes, however when this footage is ... -
Brain tumor detection through image processing
(Brac University, 2021-01)Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ... -
Cancer classification using deep learning from medical image data
(Brac University, 2022-01)Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Cancer can start almost anywhere in the human body, which is made up of trillions of cells. There is usually ... -
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ... -
Citrus leaf disease detection by image processing
(Brac University, 2024-01)Citrus leaf diseases bring a danger to the earnings of citrus estates. When it comes to recovering from illness, early detection and accurate diagnosis are very necessary. In the last several decades, there have been ... -
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 ... -
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
(Brac University, 2022-01)Infectious and non-infectious respiratory diseases are among the major reasons for deaths, financial and social crises around the world. However, medical personnel still find it very difficult to detect the diseases using ... -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ... -
A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
(Brac University, 2023-05)Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ... -
A comparative performance analysis of accident anticipation with deep learning extractors
(Brac University, 2022-09-29)Accident anticipation has become a major focus to avert accidents or to minimize their impacts. Over the years, several network systems are being developed and applied in self-driving technology. Despite the fact that ... -
A comparative study of lung cancer prediction using deep learning
(Brac University, 2022-09)At the point when cells in the body develop out of control, this is alluded to as cancerous development. Lung cancer is the term used to depict cancer that starts in the lungs. At first in the field, classifier-based ... -
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
(Brac University, 2015-08)Coronavirus 2019 (in short, COVID-19), originated in the Wuhan province of China in December 2019, has been declared a global pandemic by WHO in March 2020. Since its inception, it’s rapid spread among nations had initially ... -
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 ... -
Content based image search in openstack swift
(Brac University, 2021-09)The OpenStack Object Store, also known as Swift, is a cloud storage software. Swift is optimized for durability, availability; also concurrency across the entire data set. However, Swift does not have a proper technique ... -
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early disease identification reduces crop loss. Manual leaf diagnostic imaging takes time and is prone to mistakes. This thesis proposes a ... -
Deep convolutional GAN-based data augmentation for medical image classification
(Brac University, 2022-01)The field of medical imaging is rapidly growing with the help of machine learning, yet the problem of scarcity in labeled medical imaging still remains. Therefore training a machine learning model for medical image ... -
A deep learning approach to integrate human-level understanding in a Chatbot
(2021-01)AI-powered computers like chatbots have taken over the market today to reduce human workload. Unlike humans, chatbots reply immediately, are available 24/7 and can assist several people at the same time. Due to the ... -
A deep learning approach towards soft biometrics attributes prediction using CNN
(Brac University, 2021-09)Any physical, behavioural or adhered human characteristics that we can observe from a person is known as Soft Biometric.The most common physical soft biometric attributes are height, age, ethnicity, facial hairs, gender, ... -
Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
(Brac University, 2022-01)Content centric network is a state-of-the-art networking architecture for content distribution and content caching. However, it is inefficient to cache every content in each network device. The modern edge computing ... -
Deep learning-based real-time pothole detection for avoiding road accident
(Brac University, 2022-01)Bangladesh is a fast-developing country, and the number of roads increasing with it is immense. With the ever-growing amount of road comes the age-old problem of a pothole. This paper represents a model of deep learning-based, ...
