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.

Detalhes bibliográficos
Principais autores:	Ammar, S.M. Rojin, Anjum, Md. Tanvir Rounak, Islam, Md. Touhidul Islam
Outros Autores:	Alam, Md. Ashraful
Formato:	Tese
Idioma:	English
Publicado em:	BRAC University 2019
Assuntos:	Machine learning Violence detection Neural network DarkNet-19 Machine learning.
Acesso em linha:	http://hdl.handle.net/10361/12270

Registros relacionados

Violent activity detection through surveillance camera using deep learning
por: Miah, Parvez, et al.
Publicado em: (2023)

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

A machine learning approach to detect DeepFake videos
por: Hassan, Md. Mahedi, et al.
Publicado em: (2021)

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

Fault detection in waste water treatment plant using statistical analysis & machine learning
por: Haque, Md. Ezazul, et al.
Publicado em: (2019)

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

Plant disease detection using convolutional neural network
por: Hossain, Mohammad Shifat, et al.
Publicado em: (2021)

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

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

Detection of skin cancer using Convolutional neural network
por: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Publicado em: (2020)

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

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

Learning a deep neural network for predicting phishing website
por: Das, Robat, et al.
Publicado em: (2019)

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

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
por: Alhossen, Md., et al.
Publicado em: (2021)

Real-time foul detection in football matches using machine learning techniques
por: Siddiqui, Bishal Sadi, et al.
Publicado em: (2024)

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

Crop prediction based on geographical and climatic data using machine learning and deep learning
por: Alif, Al Amin, et al.
Publicado em: (2019)

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

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

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
por: Haque, Samiha, et al.
Publicado em: (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
por: Siddique, Labib Ahmed, et al.
Publicado em: (2022)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
por: Sarmi, Kaniz Fatima, et al.
Publicado em: (2022)

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

Detection of coronary artery blockage at an early stage using effective deep learning technique
por: Promit, Tahmid Ashrafee, et al.
Publicado em: (2023)

Performance analysis of machine learning classi ers for detecting PE malware
por: Azmee, ABM.Adnan, et al.
Publicado em: (2020)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
por: Tasnim, Sadia, et al.
Publicado em: (2023)

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

An implementation and analysis of deep learning models for the detection of wheat diseases
por: Zubair, Ahmad, et al.
Publicado em: (2024)

Analysis of deep learning models on low-light pest detection
por: Irtiza, Md. Samin, et al.
Publicado em: (2023)

A modern technique to detect potholes by Computer Vision and Deep Learning
por: Saif, Muntasir Mahmud, et al.
Publicado em: (2023)

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

Heart disease prediction using machine learning algorithms
por: Ali, Musfiq, et al.
Publicado em: (2019)

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

Anomaly detection In IoT using machine learning algorithms
por: Arko, Aritro Roy, et al.
Publicado em: (2019)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
por: Ishrak, Gazi Hasin, et al.
Publicado em: (2022)

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

Hate speech detection using machine learning techniques
por: Manzoor, Tahbib, et al.
Publicado em: (2024)

Behavior change analysis due to violent video gaming using deep learning models
por: Rahman, Akhlak Ur, et al.
Publicado em: (2024)

Crowd source based traffic analysis using machine learning algorithm
por: Orthy, Marzia Khan, et al.
Publicado em: (2018)