Towards solving perception based autonomous driving assistant system

Towards solving perception based autonomous driving assistant system

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

Xehetasun bibliografikoak
Egile Nagusiak:	Hossain, Md. Arafat, Rahman, Md. Sazidur, Islam, Md. Jisan Bin, Bhuiyan, Sazzad Alam
Beste egile batzuk:	Rahman, Md. Khalilur
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	Object detection Prediction Max pooling Convolutional neural network Machine learning Neural networks (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/16322

Antzeko izenburuak

Analysis of training time optimization for self-driving car using alternate max pooling layers
nork: Arefin, Kazi Ridwan, et al.
Argitaratua: (2018)

Visual object recognition using deep convolutional neural network
nork: Ahmed, Sabbir
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Plant disease detection using convolutional neural network
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Detection of skin cancer using Convolutional neural network
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Argitaratua: (2020)

Pneumonia Disease detection using the convolutional neural network
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Malware detection in blockchain using CNN
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Argitaratua: (2021)

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
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Argitaratua: (2021)

Leaf classification by feature extraction using CNN
nork: Bhuiyan, Md. Mazharul Islam, et al.
Argitaratua: (2020)

Semantic text extraction from CAPTCHA using Neural Networking
nork: Chowdhury, Iftekhar Kabir, et al.
Argitaratua: (2022)

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
nork: Shuhin, Syed Adiba, et al.
Argitaratua: (2019)

Smart surveillance system for identifying bikers without helmets using deep learning
nork: Hossain, MD. Iqbal, et al.
Argitaratua: (2020)

Crime scene prediction by detecting threatening objects using convolutional neural network
nork: Nakib, Mohammad, et al.
Argitaratua: (2017)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
nork: Ali, Syed Muaz
Argitaratua: (2023)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
nork: Moon, Nowrin Tasnim, et al.
Argitaratua: (2023)

Tomato leaf disease detection using convolutional neural network
nork: Hasan, Md. Riazul, et al.
Argitaratua: (2023)

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

Efficient image processing and machine learning approach for predicting retinal diseases
nork: Hasib, Mehadi Hasan, et al.
Argitaratua: (2021)

Single and multi-view 2D image processing for enhanced 3D object reconstruction
nork: Ghosh, Swapnil, et al.
Argitaratua: (2024)

Analysis of malware prediction based on infection rate using machine learning techniques
nork: Zawad, Safir, et al.
Argitaratua: (2020)

Bangla license plate recognition using convolutional neural networks (CNN)
nork: Rahman, M M Shaifur
Argitaratua: (2018)

An in depth analysis of neural network with application in finance
nork: Tasnim, Noshin, et al.
Argitaratua: (2019)

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

Dynamic image analysis for abnormal behavior detection
nork: Ahmed, Md. Ashik, et al.
Argitaratua: (2017)

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

Comparison of deep transfer learning models for cancer diagnosis
nork: Joya, Nadia Islam, et al.
Argitaratua: (2023)

Smoke detection using deep Convolutional neural network
nork: Niloy, Wahidul Hasan, et al.
Argitaratua: (2021)

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

A system to prevent social violence using convolutional neural network
nork: Akter, Sanzida, et al.
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A computer vision based approach for stalking detection using CNN-LSTM hybrid model
nork: Iqbal, Shahriar, et al.
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Tri-modal ensemble for enhanced Bangla sign language recognition
nork: Shams, Khan Abrar, et al.
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Human activity recognition and authentication system
nork: ALam, Md. Zubaer
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Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
nork: Mahbub, Riasat, et al.
Argitaratua: (2022)

Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
nork: Alvi, Md.Waseq Alauddin
Argitaratua: (2024)

Skin cancer classification for seven types of skin lesions
nork: Rahman, Md. Tawsifur, et al.
Argitaratua: (2024)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
nork: Rahman, Rafeed, et al.
Argitaratua: (2021)

Surveillance in Maritime Scenario using Deep-Learning and Swarm Intelligence
nork: Islam, Nazmul, et al.
Argitaratua: (2022)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
nork: Ishrak, Gazi Hasin, et al.
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Human Activity Recognition using wearable body sensor by machine learning approach
nork: Promi, Sadia Tangim, et al.
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Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
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Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
nork: Mollah, Md. Shawon, et al.
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