Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms

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

Bibliographic Details
Main Authors:	Siddique, Labib Ahmed, Junhai, Rabita, Islam, Moshfeka, Qader, Shafinaz
Other Authors:	Chakrabarty, Dr. Amitabha
Format:	Thesis
Language:	en_US
Published:	Brac University 2022
Subjects:	Artificial Intelligence Deep learning Neural network Violence detection Video classification Attention based encoder LRCN ConvLSTM Transformer C3D Neural networks (Computer science) Neural network. Deep learning (Machine learning)
Online Access:	http://hdl.handle.net/10361/17652

Similar Items

Analysis of uncertainty in different neural network structures using monte carlo dropout
by: Islam, Md. Farhadul, et al.
Published: (2024)

Visual object recognition using deep convolutional neural network
by: Ahmed, Sabbir
Published: (2017)

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

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
by: Ashraf, S.M. Nabil, et al.
Published: (2021)

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

Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
by: Islam, Md. Farhadul, et al.
Published: (2024)

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

Bangali Handwritten characters classification using Deep Convolutional Neural Network
by: Sikder, Shihab Uddin, et al.
Published: (2022)

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

KDANet: optical recognition for Bangla language using deep neural networks
by: Rabbi, Kazi Kamruzzaman, et al.
Published: (2023)

Classification of different magnetic structures from image data using deep neural networks
by: Ibn Hasib, Fahad, et al.
Published: (2023)

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

Epileptic seizure prediction using bandpass filtering and convolutional neural network
by: Rahman, Tasnia, et al.
Published: (2022)

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

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

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

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

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

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
by: Choudhury, Prionto Kumar, et al.
Published: (2024)

Visual object classification from fMRI data
by: Newaz, Syed Mishar, et al.
Published: (2022)

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

Quantum error correction using quantum convolutional neural network
by: Mishu, Niloy Deb Roy, et al.
Published: (2021)

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

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
by: Khilji, Ishfaque Qamar, et al.
Published: (2021)

Learning a deep neural network for predicting phishing website
by: Das, Robat, et al.
Published: (2019)

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

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

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
by: Shahriar, Hasan, et al.
Published: (2022)

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

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

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

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

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

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
by: Bhuiyan, Abir Ahammed, et al.
Published: (2024)

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

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

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

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
by: Promita, Samanta Tabassum, et al.
Published: (2022)

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
by: Mahmud, Shakib Izaz, et al.
Published: (2022)

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