Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title
Now showing items 637-656 of 1272
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Human Activity Recognition using wearable body sensor by machine learning approach
(Brac University, 2019-12)The prevalence of electronics devices and the increase in computer resources, like networking, storage, accessibility and sensor capacity, have significantly improved the lives of humans. Now a days most smart devices ... -
Human fall control system for disabled people using double inverted pendulum
(BRAC University, 2017)Self-balancing is an important role of human body which helps us to stand, to walk or swaying on feet. Without balancing, our body may fall because our legged system can’t hold if there is any disturbance. In this research, ... -
Human identification using dental radiograph
(BRAC University, 2017-12)Dental biometrics is a very important feature in human identification. It can help greatly in Forensic Dentistry. In this paper, we present a method for identifying people based on shapes and appearances of their teeth ... -
Human identification using wifi signal
(BRAC University, 12/26/2017)There have been a large number of methods already exists to identify human(e.g.,face recognition, gait recognition, fingerprint identification, etc.). Channel State Information(CSI) obtained from Wifi chipsets already has ... -
Human recognition using wireless router signal
(Brac University, 2019-08)Human identi cation technology can revolutionize numerous sectors in human life and a large number of methods already exist to identify humans such as voice recognition, ngerprint identi cation, face recognition and so ... -
Human sentiment analysis using natural language processing
(Brac University, 2023-05)"Emotion is something that roams with us, the vibrant tapestry of our human existence. People are frequently so emotionally motivated that we may get a peek of their emotions simply by observing them, listening to them, ... -
A hybrid fake banknote detection model using OCR, face recognition and hough features
(BRAC University, 8/13/2018)Currency duplication is now a common occurrence due to the advancement of printing and scanning technology. Many note detection systems are present in banks but they are very costly. In this paper, we are proposing an ... -
A hybrid fake banknote detection model using OCR, face recognition and hough features
(BRAC University, 2018-08)Currency duplication is now a common occurrence due to the advancement of printing and scanning technology. Many note detection systems are present in banks but they are very costly. In this paper, we are proposing an ... -
A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
(Brac University, 2022-09-22)The significant advancements in computational power create the vast opportunity for using Artificial Intelligence in different applications of healthcare and medical science. A Hybrid FL-Enabled Ensemble Approach For Lung ... -
A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
(Brac University, 2022-09-28)The significant advancements in computational power create the vast opportunity for using Artificial Intelligence in different applications of healthcare and medical science. A hybrid FL-enabled ensemble approach for ... -
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)In the current age of social media, information spreads like wildfire. Unfortunately, this also means that misinformation or rumors can spread easily. The spread of this misinformation can have negative consequences for ... -
Hybrid solution for national election system
(BRAC University, 2005-08)Objective of this project is to understand the existing National Election System in depth, to find out the problems in each stage. According to the findings we will try to give possible solutions of the problems in ... -
Hybrid solution for the current national election system
(BRAC University, 2005-06)Objective of this project is to understand the existing National Election System in depth, to find out the problems in each stage. According to the findings we will try to give possible solutions of the problems in different ... -
Hyper ledger fabric induced supershop supply chain management model for securing product authenticity
(Brac University, 2022-05)Blockchain is a relatively new technology but has so much to offer. That is why in order to maintain proper security and controlled transparency to Supershop System we are going to induce Hyperledger Fabric System in our ... -
A hyperledger fabric based tamper proof decentralized land registry system for Bangladesh
(Brac University, 2022-09)In many countries, authorities in charge of land registration are commonly charged for the improper treatment and manipulation of land records. This is the case in both developed and developing nations. Property records ... -
Hyperledger fabric blockchain-based medical document and prescription sharing system: Enhancing data security and traceability of the healthcare sector in Bangladesh
(Brac University, 2023-01)In the current digital age, Blockchain technology has the potential to revolution ize the way sensitive medical information is handled. Blockchain’s immutable and encrypted nature makes it an ideal solution for preventing ... -
Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
(Brac University, 2023-09)Cancer, an enduring medical enigma with historical recognition dating back to ancient civilizations, remains without a definitive cure. This research undertakes a comprehensive investigation encompassing nine prevalent ... -
Identification and comparison of factors behind mental turbulence of public and private university students
(Brac University, 2021-06)Among the young generation of Bangladesh, especially university students, mental health is a challenging but ignored topic. The primary goal of this paper is to analyze mental states found in university students all while ... -
Identification of childhood leukemia using deep learning
(BRAC University, 2017)Although cancer in children is rare, it is the leading cause of death past infancy amongst children. According to Afshar, Abdolrahmani, Tanha, Seif, Taheri(2010), Leukemia or blood cancer is one of the most common cancers ... -
Identification of fake news using machine learning in distributed system
(Brac University, 2021-06)The World Wide Web’s launch and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for unparalleled levels of information diffusion in human history. Consumers are creating and ...
