Leveraging sequential deep learning models for detecting multitude of human action categories

Leveraging sequential deep learning models for detecting multitude of human action categories

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

מידע ביבליוגרפי
Main Authors:	Pranta, Kazi Al Refat, Islam, Fahad Mohammad Rejwanul, Ahmed, Khandakar Fahim, Saha, Prince, Rahman, Naimur
מחברים אחרים:	Reza, Tanzim
פורמט:	Thesis
שפה:	English
יצא לאור:	Brac University 2024
נושאים:	Human action recognition Intelligent decision-making Recurrent neural network (RNN) Machine learning Convolutional long short-term memory Deep learning (Machine learning) Neural networks (Computer science) Cognitive learning theory (Deep learning)
גישה מקוונת:	http://hdl.handle.net/10361/22890

פריטים דומים

An android application to predict human activity using a deep learning LSTM model
מאת: Sikder, Debabrata
יצא לאור: (2024)

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
מאת: Chakraborty, Dhruba, et al.
יצא לאור: (2022)

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

Sentiment analysis to determine employee job satisfaction using machine learning techniques
מאת: Mouli, Nazifa, et al.
יצא לאור: (2023)

Predicting temperature of major cities using machine learning and deep learning
מאת: Jaharabi, Wasiou, et al.
יצא לאור: (2024)

Silent voice: harnessing deep learning for lip-reading in Bangla
מאת: Shaheen, Munia, et al.
יצא לאור: (2024)

The influence of neuromarketing: machine learning based empirical analysis
מאת: Muktadir, MD. Abdullah Al, et al.
יצא לאור: (2024)

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

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
מאת: Biswas, Sunanda, et al.
יצא לאור: (2022)

Empowering mobile network planning through deep learning: a path to democratization
מאת: Nabi, Syed Tauhidun
יצא לאור: (2024)

A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
מאת: Islam, Md Rashidul
יצא לאור: (2024)

An efficient deep learning approach to detect skin Cancer
מאת: Islam, Ashfaqul, et al.
יצא לאור: (2022)

Corn leaf disease detection using deep convolution neural network
מאת: Rabbi, Rawhatur, et al.
יצא לאור: (2023)

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

Bang-lish sentiment classification using deep learning
מאת: Saleheen, Abrar, et al.
יצא לאור: (2023)

Visual object classification from fMRI data
מאת: Newaz, Syed Mishar, et al.
יצא לאור: (2022)

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

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

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

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

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

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

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

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
מאת: Fiona, Driciru, et al.
יצא לאור: (2024)

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

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

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
מאת: Ghosh, Kawshik Kumar, et al.
יצא לאור: (2023)

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

Damaged road detection using Image Processing and Deep Learning
מאת: Swadesh, Shimran Mahbub, et al.
יצא לאור: (2022)

Document template identification and data extraction using machine learning and deep learning approach
מאת: Roy, Kaushik, et al.
יצא לאור: (2024)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
מאת: Toufique, S.M, et al.
יצא לאור: (2024)

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

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

A modern technique to detect potholes by Computer Vision and Deep Learning
מאת: Saif, Muntasir Mahmud, et al.
יצא לאור: (2023)

Application of CNN based architectures in detection of distracted drivers
מאת: Arafin, Irfana, et al.
יצא לאור: (2023)

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

Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
מאת: Chakraborty, Pranjal
יצא לאור: (2019)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
מאת: Mubin, Kazi Ehsanul, et al.
יצא לאור: (2022)

Classification of retinal diseases from OCT images using deep learning models
מאת: Mokarrom, Md Saif, et al.
יצא לאור: (2024)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
מאת: Fahim, Kaji Mehedi Hasan, et al.
יצא לאור: (2024)