Pothole detection using lightweight network models

Pothole detection using lightweight network models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Detalles Bibliográficos
Autores principales:	Abdullah, S. M., Hasan, Shakib Al, Parsa, Antara Firoz, Kabbya, MD. Asif Shahidullah, Talukder, Anika Hasan
Otros Autores:	Noor, Jannatun
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2024
Materias:	Machine learning Neural networks Deep learning Lightweight models Road construction industry > Automation. Computational intelligence.
Acceso en línea:	http://hdl.handle.net/10361/23966

Ejemplares 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)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
por: Ifty, Md. Hasin Sarwar, et al.
Publicado: (2024)

Damaged road detection using Image Processing and Deep Learning
por: Swadesh, Shimran Mahbub, et al.
Publicado: (2022)

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

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
por: Ferdous, Md.Rubaiat, et al.
Publicado: (2024)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
por: Rahman, Aryan, et al.
Publicado: (2023)

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

Intracranial hemorrhage detection using CNN-LSTM fusion model
por: Ahmed, Kazi sabab, et al.
Publicado: (2022)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
por: Datta, Nirjhor, et al.
Publicado: (2024)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
por: Fiona, Driciru, et al.
Publicado: (2024)

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

Multimodal human detection in disaster situations using deep learning & artificial intelligence
por: Rafat, Md. Tasbi, et al.
Publicado: (2023)

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

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

Brain tumor detection with convolutional neural network
por: Galib, Abrar Tahmid, et al.
Publicado: (2024)

An efficient ML approach to detect brain tumor using MRI images
por: Muktadir, MD. Arafat, et al.
Publicado: (2024)

A deep learning approach for prediction of ADHD using brain structure
por: Siam, Shafin Ahad, et al.
Publicado: (2024)

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
por: Mahtab, Motahar, et al.
Publicado: (2022)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
por: Radiah, Faiza, et al.
Publicado: (2024)

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

Diabetic retinopathy detection and classification by using deep learning
por: Hossain, Shahriar, et al.
Publicado: (2022)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
por: Siddique, Labib Ahmed, et al.
Publicado: (2022)

Visual object classification from fMRI data
por: Newaz, Syed Mishar, 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)

Detection of handwritten text using convolutional neural network
por: Jasim, Rabib Bin, et al.
Publicado: (2024)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
por: Reza, S. M. Mushfiq, et al.
Publicado: (2024)

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

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
por: Ahmed, Istiak, et al.
Publicado: (2023)

Fruit and vegetable freshness detection using deep learning
por: Haque, Md. Mahidul, et al.
Publicado: (2023)

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

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

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)

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

Pneumonia Disease detection using the convolutional neural network
por: Ashrafee, Md. Iftid, et al.
Publicado: (2024)

Roads and resources : appropriate technology in road construction in developing countries : a study prepared for the International Labour Office within the framework of the World Employment Programme /
Publicado: (1980)

Deep learning based early Glaucoma detection
por: Islam, Aabrar, et al.
Publicado: (2024)

An efficient deep learning approach to classify white blood cells
por: Turja, Afif Ibna Kadir Khan, et al.
Publicado: (2024)

Deep learning-based waste classification system for efficient waste management
por: Nakib, Abdullah Al, et al.
Publicado: (2022)

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