Damaged road detection using Image Processing and Deep Learning

Damaged road detection using Image Processing and Deep Learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Detalles Bibliográficos
Main Authors:	Swadesh, Shimran Mahbub, Ahmed, Rifat, Hossain, MD. Imran, Rahman, MD. Raihan
Outros autores:	Rodoshi, Ahnaf
Formato:	Thesis
Idioma:	en_US
Publicado:	Brac University 2022
Subjects:	Index Terms—Deep Learning Road Crack Detection Categorization Object Recognition Transfer Learning and RELU Deep learning (Machine learning) Image processing > Digital techniques Cognitive learning theory (Deep learning)
Acceso en liña:	http://hdl.handle.net/10361/17596

Títulos similares

Deep learning-based real-time pothole detection for avoiding road accident
por: Basher, Rafsan, et al.
Publicado: (2022)

A modern technique to detect potholes by Computer Vision and Deep Learning
por: Saif, Muntasir Mahmud, et al.
Publicado: (2023)

Traffic sign recognition using deep learning
por: Amir, Afia Binte, et al.
Publicado: (2020)

Corn leaf disease detection using deep convolution neural network
por: Rabbi, Rawhatur, et al.
Publicado: (2023)

An efficient deep learning approach to detect skin Cancer
por: Islam, Ashfaqul, et al.
Publicado: (2022)

Prostate cancer detection using deep learning neural network with transfer learning approach
por: Badhon, Ariful Islam Mahmud, et al.
Publicado: (2022)

Classification of peripheral blood cell images using deep learning
por: Aadi, Oyshik Ahmed, et al.
Publicado: (2024)

Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
por: Joy, Tanvir Ahmed, et al.
Publicado: (2021)

Empowering mobile network planning through deep learning: a path to democratization
por: Nabi, Syed Tauhidun
Publicado: (2024)

Deep learning : foundations and concepts /
por: Bishop, Christopher M.
Publicado: (2024)

A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
por: Islam, Md Rashidul
Publicado: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
por: Pranta, Kazi Al Refat, et al.
Publicado: (2024)

A comparative study of deep learning methods for automating road condition characterization
por: Ruhi, Zurana Mehrin, et al.
Publicado: (2021)

Behavior change analysis due to violent video gaming using deep learning models
por: Rahman, Akhlak Ur, et al.
Publicado: (2024)

Predicting crime using deep learning
por: Shihab, Muhammad Nafees, et al.
Publicado: (2024)

A deep learning approach to integrate human-level understanding in a Chatbot
por: Al Mamun, Amirul Islam, et al.
Publicado: (2021)

An efficient deep learning approach to detect skin cancer using image data
por: Chowdhury, Yaser Al Rahman, et al.
Publicado: (2023)

Application of CNN based architectures in detection of distracted drivers
por: Arafin, Irfana, et al.
Publicado: (2023)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
por: Sagor, Mostofa Kamal, et al.
Publicado: (2021)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
por: Biswas, Sunanda, et al.
Publicado: (2022)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
por: Rayhan, Mohammad, et al.
Publicado: (2020)

An android application to predict human activity using a deep learning LSTM model
por: Sikder, Debabrata
Publicado: (2024)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
por: Ghosh, Kawshik Kumar, et al.
Publicado: (2023)

Smart companion agent for mental well-being through Deep Learning and NLP
por: Khan, Rafiur, et al.
Publicado: (2021)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
por: Khan, Ibrahim
Publicado: (2023)

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
por: Ahmed, Syed Istiaque, et al.
Publicado: (2024)

Yoga posture recognition using the deep learning process
por: Islam, Abidul, et al.
Publicado: (2023)

Classifying insect pests from image data using deep learning
por: Mohsin, Md. Raiyan Bin, et al.
Publicado: (2022)

Predicting regional accents of Bengali language using deep learning
por: Ibrahim, Md. Abu, et al.
Publicado: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
por: Hasan, M. M. Kamrul, et al.
Publicado: (2022)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
por: Hossain, Prommy Sultana
Publicado: (2022)

Document template identification and data extraction using machine learning and deep learning approach
por: Roy, Kaushik, et al.
Publicado: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
por: Zubair, Ahmad, et al.
Publicado: (2024)

Facial expression recognition: convolutional attentional masking network and ensemble approach
por: Kowsar, Ibna, et al.
Publicado: (2021)

Pothole detection using lightweight network models
por: Abdullah, S. M., et al.
Publicado: (2024)

Sentiment analysis on Bangladesh airlines review data using machine learning
por: Hasib, Khan Md.
Publicado: (2022)

An interpretable transformer based approach to classify Malaria from blood cell images
por: Islam, Mehafuza, et al.
Publicado: (2023)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
por: Ahmed, Yasin, et al.
Publicado: (2018)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
por: Sakir, Adnan, et al.
Publicado: (2023)

Detecting Deepfake images using deep convolutional neural network
por: Dhar, Arpita, et al.
Publicado: (2022)