Using deep learning algorithms to detect violent activities

Using deep learning algorithms to detect violent activities

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Détails bibliographiques
Auteurs principaux:	Ammar, S.M. Rojin, Anjum, Md. Tanvir Rounak, Islam, Md. Touhidul Islam
Autres auteurs:	Alam, Md. Ashraful
Format:	Thèse
Langue:	English
Publié:	BRAC University 2019
Sujets:	Machine learning Violence detection Neural network DarkNet-19 Machine learning.
Accès en ligne:	http://hdl.handle.net/10361/12270

Documents similaires

Violent activity detection through surveillance camera using deep learning
par: Miah, Parvez, et autres
Publié: (2023)

An efficient deep learning approach to detect skin Cancer
par: Islam, Ashfaqul, et autres
Publié: (2022)

A machine learning approach to detect DeepFake videos
par: Hassan, Md. Mahedi, et autres
Publié: (2021)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
par: Sakir, Adnan, et autres
Publié: (2023)

Fault detection in waste water treatment plant using statistical analysis & machine learning
par: Haque, Md. Ezazul, et autres
Publié: (2019)

Prostate cancer detection using deep learning neural network with transfer learning approach
par: Badhon, Ariful Islam Mahmud, et autres
Publié: (2022)

Plant disease detection using convolutional neural network
par: Hossain, Mohammad Shifat, et autres
Publié: (2021)

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

Deep learning based early Glaucoma detection
par: Islam, Aabrar, et autres
Publié: (2024)

Detection of skin cancer using Convolutional neural network
par: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et autres
Publié: (2020)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
par: Rafat, Md. Tasbi, et autres
Publié: (2023)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
par: Ahmed, Istiak, et autres
Publié: (2023)

Learning a deep neural network for predicting phishing website
par: Das, Robat, et autres
Publié: (2019)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
par: Khilji, Ishfaque Qamar, et autres
Publié: (2021)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
par: Alhossen, Md., et autres
Publié: (2021)

Real-time foul detection in football matches using machine learning techniques
par: Siddiqui, Bishal Sadi, et autres
Publié: (2024)

An efficient deep learning approach to detect skin cancer using image data
par: Chowdhury, Yaser Al Rahman, et autres
Publié: (2023)

Crop prediction based on geographical and climatic data using machine learning and deep learning
par: Alif, Al Amin, et autres
Publié: (2019)

Brain tumor detection with convolutional neural network
par: Galib, Abrar Tahmid, et autres
Publié: (2024)

Corn leaf disease detection using deep convolution neural network
par: Rabbi, Rawhatur, et autres
Publié: (2023)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
par: Haque, Samiha, et autres
Publié: (2021)

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

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
par: Sarmi, Kaniz Fatima, et autres
Publié: (2022)

An efficient deep learning approach to classify white blood cells
par: Turja, Afif Ibna Kadir Khan, et autres
Publié: (2024)

Detection of coronary artery blockage at an early stage using effective deep learning technique
par: Promit, Tahmid Ashrafee, et autres
Publié: (2023)

Performance analysis of machine learning classi ers for detecting PE malware
par: Azmee, ABM.Adnan, et autres
Publié: (2020)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
par: Tasnim, Sadia, et autres
Publié: (2023)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
par: Ferdous, Md.Rubaiat, et autres
Publié: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
par: Zubair, Ahmad, et autres
Publié: (2024)

Analysis of deep learning models on low-light pest detection
par: Irtiza, Md. Samin, et autres
Publié: (2023)

A modern technique to detect potholes by Computer Vision and Deep Learning
par: Saif, Muntasir Mahmud, et autres
Publié: (2023)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
par: Datta, Nirjhor, et autres
Publié: (2024)

Heart disease prediction using machine learning algorithms
par: Ali, Musfiq, et autres
Publié: (2019)

Leveraging sequential deep learning models for detecting multitude of human action categories
par: Pranta, Kazi Al Refat, et autres
Publié: (2024)

Anomaly detection In IoT using machine learning algorithms
par: Arko, Aritro Roy, et autres
Publié: (2019)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
par: Ishrak, Gazi Hasin, et autres
Publié: (2022)

Classification of different magnetic structures from image data using deep neural networks
par: Ibn Hasib, Fahad, et autres
Publié: (2023)

Hate speech detection using machine learning techniques
par: Manzoor, Tahbib, et autres
Publié: (2024)

Behavior change analysis due to violent video gaming using deep learning models
par: Rahman, Akhlak Ur, et autres
Publié: (2024)

Crowd source based traffic analysis using machine learning algorithm
par: Orthy, Marzia Khan, et autres
Publié: (2018)