Automatic waste classification using deep learning and computer vision techniques

Automatic waste classification using deep learning and computer vision techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Библиографические подробности
Главные авторы:	Akash, MD., Shama, Umme Sabiha, Dibash, Dey, Ghosh, Ria
Другие авторы:	Karim, Dewan Ziaul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	Custom CNN Resnet50 VGG16 MobileNetV2 InceptionV3 EfficientNetB0 Pretrained Validation Accuracy Detection Classification YOLOv4 Deep learning YOLOv4-tiny Cognitive learning theory Neural networks (Computer science) Machine learning
Online-ссылка:	http://hdl.handle.net/10361/21220

Схожие документы

A comparative study of lung cancer prediction using deep learning
по: Mugdho, Aka Mohammad, и др.
Опубликовано: (2023)

Analyzing students’ concentration in online courses through Webcam
по: Asif, Md., и др.
Опубликовано: (2024)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
по: Athina, Fahima Hasan, и др.
Опубликовано: (2022)

Citrus leaf disease detection by image processing
по: Chowdhury, Mahir Faisal, и др.
Опубликовано: (2024)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
по: Awwal, Alvina, и др.
Опубликовано: (2021)

Real-time crime detection using convolutional LSTM and YOLOv7
по: Sakiba, Cyrus, и др.
Опубликовано: (2023)

An efficient approach for recyclable waste detection and classification using image processing techniques
по: Chowdhury, Prabal Kumar, и др.
Опубликовано: (2024)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
по: Rahman, Afridi Ibn, и др.
Опубликовано: (2022)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
по: Khan, Farhan Sakib, и др.
Опубликовано: (2022)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
по: Ismail, Sayem Mohammad, и др.
Опубликовано: (2021)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
по: Akhter, Nasrin
Опубликовано: (2023)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
по: Hossain, Mohammad Sakib, и др.
Опубликовано: (2023)

Covid-19 infected lung detection using machine learning
по: Islam, Md. Muntaha, и др.
Опубликовано: (2022)

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
по: Kobra, Khadija-Tul, и др.
Опубликовано: (2022)

Identifying brain abnormalities using image processing and CNN models
по: Talukder, Ismat Shehrin, и др.
Опубликовано: (2021)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
по: Shahriar, Hasan, и др.
Опубликовано: (2022)

Skin disease detection and classification using deep learning
по: Shuvon, Mehedi Hasan, и др.
Опубликовано: (2022)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
по: Shahriar, Farhan, и др.
Опубликовано: (2021)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
по: Farabi, Farhan, и др.
Опубликовано: (2023)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
по: Promita, Samanta Tabassum, и др.
Опубликовано: (2022)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
по: Tasnim, Sadia, и др.
Опубликовано: (2023)

Content based image search in openstack swift
по: Ali Uday, Mir Rownak, и др.
Опубликовано: (2024)

Fire and disaster detection with multimodal quadcopter By machine learning
по: Afrin, Anika, и др.
Опубликовано: (2023)

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
по: Islam, Tahsin, и др.
Опубликовано: (2021)

Skin cancer classification for seven types of skin lesions
по: Rahman, Md. Tawsifur, и др.
Опубликовано: (2024)

Approaching transfer learning to identify correctly worn facial masks
по: Sadid, Tausif, и др.
Опубликовано: (2021)

Deep learning-based real-time pothole detection for avoiding road accident
по: Basher, Rafsan, и др.
Опубликовано: (2022)

Tomato leaf disease detection using convolutional neural network
по: Hasan, Md. Riazul, и др.
Опубликовано: (2023)

Violent activity detection through surveillance camera using deep learning
по: Miah, Parvez, и др.
Опубликовано: (2023)

Diabetic retinopathy detection and classification by using deep learning
по: Hossain, Shahriar, и др.
Опубликовано: (2022)

An efficient face recognition model using multiple angular images and deep neural network architecture
по: Subah, Silma, и др.
Опубликовано: (2024)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
по: Mashraf, Chowdhury Zerif, и др.
Опубликовано: (2021)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
по: Sarmi, Kaniz Fatima, и др.
Опубликовано: (2022)

Retinal Diseases Detection using Deep Learning
по: Mashfi, Shahriar, и др.
Опубликовано: (2023)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
по: Moon, Nowrin Tasnim, и др.
Опубликовано: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
по: Khisa, Pushpakali, и др.
Опубликовано: (2024)

Brain tumor detection with convolutional neural network
по: Galib, Abrar Tahmid, и др.
Опубликовано: (2024)

An ambient assisted living system for Alzheimer’s patients
по: Abedin, Minhajul, и др.
Опубликовано: (2023)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
по: Datta, Pranab, и др.
Опубликовано: (2021)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
по: Nag, Pollock, и др.
Опубликовано: (2023)