Predicting crime using deep learning

Predicting crime using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.

Bibliografische gegevens
Hoofdauteurs:	Shihab, Muhammad Nafees, Chowdhury, Anupam, Mahmood, SK. Belayet
Andere auteurs:	Chakrabarty, Amitabha
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Deep learning Criminal incident Supervised classification LSTM CNN Shallow dense model Deep learning (Machine learning)
Online toegang:	http://hdl.handle.net/10361/23963

Gelijkaardige items

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
door: Arafat, Sheikh Mohammad, et al.
Gepubliceerd in: (2021)

A deep learning approach towards soft biometrics attributes prediction using CNN
door: Kibria, Maharab, et al.
Gepubliceerd in: (2022)

Deep learning-based waste classification system for efficient waste management
door: Nakib, Abdullah Al, et al.
Gepubliceerd in: (2022)

Corn leaf disease detection using deep convolution neural network
door: Rabbi, Rawhatur, et al.
Gepubliceerd in: (2023)

Hybrid recommendation system of intelligent captioning using deep learning networks
door: Wasi, Ahamed Al, et al.
Gepubliceerd in: (2024)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
door: Islam, Roman, et al.
Gepubliceerd in: (2024)

An efficient deep learning approach to detect skin Cancer
door: Islam, Ashfaqul, et al.
Gepubliceerd in: (2022)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
door: Khan, Ibrahim
Gepubliceerd in: (2023)

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

Document template identification and data extraction using machine learning and deep learning approach
door: Roy, Kaushik, et al.
Gepubliceerd in: (2024)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
door: Hasan, M. M. Kamrul, et al.
Gepubliceerd in: (2022)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
door: Dewanjee, Tanmoy, et al.
Gepubliceerd in: (2021)

A modern technique to detect potholes by Computer Vision and Deep Learning
door: Saif, Muntasir Mahmud, et al.
Gepubliceerd in: (2023)

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

Predicting suicidal intent from social media text post using machine learning
door: Chowdhury, Md. Mubin Ul Islam, et al.
Gepubliceerd in: (2023)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
door: Turjo, Aquib Abtahi, et al.
Gepubliceerd in: (2021)

Bang-lish sentiment classification using deep learning
door: Saleheen, Abrar, et al.
Gepubliceerd in: (2023)

Detection of alzheimer's disease using deep learning
door: Hasan, Mahmudul, et al.
Gepubliceerd in: (2021)

Predicting regional accents of Bengali language using deep learning
door: Ibrahim, Md. Abu, et al.
Gepubliceerd in: (2022)

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

Deep Learning based Medicinal Plants Leaf Recognition
door: Mahalanabish, Tonusri
Gepubliceerd in: (2023)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
door: Tanvir, Farhan, et al.
Gepubliceerd in: (2024)

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

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

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

Classifying insect pests from image data using deep learning
door: Mohsin, Md. Raiyan Bin, et al.
Gepubliceerd in: (2022)

Violent activity detection through surveillance camera using deep learning
door: Miah, Parvez, et al.
Gepubliceerd in: (2023)

Deep convolutional GAN-based data augmentation for medical image classification
door: Datta, Joy, et al.
Gepubliceerd in: (2022)

Analysis of financial data on the time series using data from the stock market
door: Shachcha, Ifad Bhuiyan, et al.
Gepubliceerd in: (2022)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
door: Islam, Zahedul, et al.
Gepubliceerd in: (2023)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
door: Ahasan, Md. Mubtasim, et al.
Gepubliceerd in: (2022)

An efficient deep learning approach to detect citrus leaves disease
door: Emon, Shaharear Hossain, et al.
Gepubliceerd in: (2024)

A deep learning approach to integrate human-level understanding in a Chatbot
door: Al Mamun, Amirul Islam, et al.
Gepubliceerd in: (2021)

Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
door: Islam, Md. Nazmul, et al.
Gepubliceerd in: (2024)

Damaged road detection using Image Processing and Deep Learning
door: Swadesh, Shimran Mahbub, et al.
Gepubliceerd in: (2022)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
door: Nawrin, Ishrat Nur, et al.
Gepubliceerd in: (2023)

Automatic brain tumor segmentation using U-ResUNet chain model approach
door: Alam, Mohd Tanjeem, et al.
Gepubliceerd in: (2022)

RetinalNet-500: a newly developed CNN model for eye disease detection
door: Toki, Sadikul Alim, et al.
Gepubliceerd in: (2023)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
door: Hossain, Mainul, et al.
Gepubliceerd in: (2022)

Empowering mobile network planning through deep learning: a path to democratization
door: Nabi, Syed Tauhidun
Gepubliceerd in: (2024)