Automatic helmet-less biker detection using deep learning

Automatic helmet-less biker detection using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2021.

Bibliografski detalji
Glavni autori:	Ratul, Md. Ibrahim, Mohon, Abdul Karim Ibne, Sarker, Md. Reduan
Daljnji autori:	Rasel, Annajiat Alim
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2024
Teme:	Helmet CNN LSTM Attention Data mining Neural networks (Computer science)
Online pristup:	http://hdl.handle.net/10361/23669

Similar Items

Smart surveillance system for identifying bikers without helmets using deep learning
od: Hossain, MD. Iqbal, i dr.
Izdano: (2020)

Bangla hate speech detection on social media using attention-based recurrent neural network
od: Das, Amit Kumar, i dr.
Izdano: (2022)

Hybrid recommendation system of intelligent captioning using deep learning networks
od: Wasi, Ahamed Al, i dr.
Izdano: (2024)

Detection of Deepfake using computer vision and deep learning
od: Rahman, Anisur, i dr.
Izdano: (2023)

Predicting crime using deep learning
od: Shihab, Muhammad Nafees, i dr.
Izdano: (2024)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
od: Fiha, Yeamin Jahan, i dr.
Izdano: (2022)

Deep learning based crowd monitoring and person identification system
od: Haque, Mohammad Fahim, i dr.
Izdano: (2024)

Human sentiment analysis using natural language processing
od: Shamya, Md. Shamiul Haque Khan, i dr.
Izdano: (2024)

Violent activity detection through surveillance camera using deep learning
od: Miah, Parvez, i dr.
Izdano: (2023)

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
od: Iqbal, Shahriar, i dr.
Izdano: (2023)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
od: Shakil, Mahmudul Hasan
Izdano: (2023)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
od: Siddique, Labib Ahmed, i dr.
Izdano: (2022)

Teaching listening comprehension /
od: Ur, Penny
Izdano: (2010)

Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
od: Aziz, Md. Yasin, i dr.
Izdano: (2021)

An improved deepfake detection using deep learning
od: Paul, Annay, i dr.
Izdano: (2023)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
od: Nirjhor, S M Mahsanul Islam, i dr.
Izdano: (2019)

Analysis of financial data on the time series using data from the stock market
od: Shachcha, Ifad Bhuiyan, i dr.
Izdano: (2022)

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
od: Barua, Debalina
Izdano: (2023)

Automatic brain tumor segmentation using U-ResUNet chain model approach
od: Alam, Mohd Tanjeem, i dr.
Izdano: (2022)

Automatic subtitle generation for Bengali multimedia using deep learning
od: Rhythm, Ehsanur Rahman, i dr.
Izdano: (2024)

Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
od: Das, Joy Krishan, i dr.
Izdano: (2021)

Detection of alzheimer's disease using deep learning
od: Hasan, Mahmudul, i dr.
Izdano: (2021)

Facial expression recognition: convolutional attentional masking network and ensemble approach
od: Kowsar, Ibna, i dr.
Izdano: (2021)

Detection of skin diseases using deep learning
od: Shodoy, Masuk Ur Rahman
Izdano: (2024)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
od: Tanvir, Farhan, i dr.
Izdano: (2024)

Learning a deep neural network for predicting phishing website
od: Das, Robat, i dr.
Izdano: (2019)

An implementation and analysis of deep learning models for the detection of wheat diseases
od: Zubair, Ahmad, i dr.
Izdano: (2024)

Online engage-measurement in tutoring session
od: Siddique, Saadman Omar, i dr.
Izdano: (2024)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
od: Arafat, Sheikh Mohammad, i dr.
Izdano: (2021)

Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
od: Ahmed, Sarder Tanvir, i dr.
Izdano: (2024)

Detecting brain tumor using deep neural networks from MRI images
od: Imamuzzaman, A.S.M., i dr.
Izdano: (2021)

A comparative analysis of attention abilities in post-covid and non-covid patients using Ace-III scale
od: Anuva, Nayeema Jameel
Izdano: (2024)

Image recognition by deep learning
od: Mohiuddin, Karishma, i dr.
Izdano: (2018)

Automatic waste classification using deep learning and computer vision techniques
od: Akash, MD., i dr.
Izdano: (2023)

Short term load forecasting based on Internet of Things (IoT)
od: Uz Zaman, Mahdi, i dr.
Izdano: (2018)

Deep learning based early Glaucoma detection
od: Islam, Aabrar, i dr.
Izdano: (2024)

Deep learning-based waste classification system for efficient waste management
od: Nakib, Abdullah Al, i dr.
Izdano: (2022)

Rumor detection in Bangla using machine learning & deep learning
od: Ahmed, Md Istiaq, i dr.
Izdano: (2023)

Speech command classification based on deep neural networks
od: Hossain, Md. Sakib, i dr.
Izdano: (2023)

Sound classification using deep learning for hard of hearing and deaf people
od: Habib, Md.Adnan, i dr.
Izdano: (2022)