Browsing Department of Computer Science and Engineering (CSE) by Title
Now showing items 234-253 of 1396
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)The internet of things is one of today’s most revolutionary technologies. Because of its pervasiveness, increasing network connection capacity, and diversity of linked items, the internet of things (IoT) is adaptable and ... -
A classification and prediction based approach for real-time ETP outlet monitoring through E-IoT and remote sensing using machine learning and deep learning
(Brac University, 2021-01)Water is a vital element in our environment but day by day water pollution is increasing in an alarming rate in our country. In Bangladesh’s perspective, industries such as textile and ready-made garments (RMG) contribute ... -
Classification of arsenic contamination in water using Machine learning
(BRAC University, 1/14/2014)Arsenic is a semi-metal element in the periodic table that is odorless and tasteless. It enters drinking water supplies from natural deposits in the earth or from agriculture and industrial practices. In South Asian ... -
Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
(Brac University, 2022-03)Since 1970, researchers have been attempting to recognize and comprehend spontaneous speech. For an automatic voice recognition system, many techniques were employed. People always choose English for voice recognition ... -
Classification of Bangladeshi soil texture using convolutional neural network
(Brac University, 2022-09-29)In agriculture, soil is one of the most potential output sources. That is why, if we can foresee the soil’s nature and how it will turn in the future as well as it’s other qualities, we may achieve adequate monitoring ... -
Classification of common fetal anatomical planes from ultrasound imaging using dempster shafer theory and deep learning
(Brac University, 2022-09-29)Ultrasound (US) examination is a widely used important instrument to monitor mother and fetus health in a cost-effective and non-invasive way. The acquisition of Ultrasound (US) images to determine vital fetal organs for ... -
Classification of different magnetic structures from image data using deep neural networks
(Brac University, 2021-09)We apply machine learning, specially deep neural network approaches, to train a new model that can perform an effective classification of ferromagnetic, anti ferromagnetic, skyrmion, anti-skyrmion and spin spiral ... -
Classification of modulated motor cortex based on Anodal and Cathodal tDCS
(Brac University, 2019-12)Over the centuries, humans have wished to achieve the ability to understand the inner functions of the mind and brain. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes ... -
Classification of music based on correlation between mood, linguistic and audio features
(BRAC University, 2018-05)The emergence of music in recent times has been enviable. Some people consider music to be an integral part of their regular lives, while others sometimes even consider music to be some divine inspiration setting the mood ... -
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 ... -
Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
(Brac University, 2022-05)Machine learning (ML) is such a field that focuses on learning based method. It basically leverage data to improve the performance on particular tasks. It creates a model based on training data and makes prediction ... -
Classification technique for face-spoof detection in artificial neural networks using concepts of machine learning
(Brac University, 2021-06)In biometric technology, face recognition techniques are considered the most signif icant research area. This technology is abundantly used in security services, smart cards, surveillance, social media, and ID verification. ... -
Classifying insect pests from image data using deep learning
(Brac University, 2022-01)The fact that insecticidal pests impair significant agricultural productivity has become one of the main challenges in agriculture. There are, nevertheless, several requirements for a high-performing automated system ... -
Classification of damaged vegetation areas using convolutional neural network over satellite images
(Brac University, 2021-01)Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ... -
Cleaning of web scraped data with Python
(2019-04)Today, data expect a basic occupation in individuals' step by step works out. With the help of some database applications, for instance, decision sincerely steady sys- tems and customer relationship the board structures ... -
Cloud based smart parking system using IoT technology
(BRAC Univeristy, 2017-08)The number of vehicles on Bangladeshi roads are expected to increase by 360 000 by 2035, reducing average speed from an already miserly 6.4 kph to 4.7 kph – walking speed for most people. [18] While major infrastructural ... -
Cloud based smart route system for blinds
(Brac University, 2021-06)Safe and independent navigation in an unfamiliar environment is a difficult task for visually impaired individuals. Existing systems are unusable because these systems are not user-friendly and also expensive. The objective ... -
Cloud computing across different platforms
(BRAC University, 2013-12)In this project we have studied fundamentals of cloud computing. We have studied architectures of different Cloud solutions. We have covered major advantages and disadvantages of Cloud Computing. We have also covered ... -
Clustering and detection of good and bad rail line anchors from images
(© 2015 Institute of Electrical and Electronics Engineers Inc., 2016-06)Absence of railway anchors/fasteners is a serious concern as it might lead to severe consequences such as train derailments. Hence regular inspection is an obligation to ensure safety. The third world countries choose the ...