Prediction of human activity using machine learning

Prediction of human activity using machine learning

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

Xehetasun bibliografikoak
Egile Nagusiak:	Tisha, Sadia Nasrin, Alvee, Benjir Islam
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	en_US
Argitaratua:	Brac University 2020
Gaiak:	Machine Learning HAR Human Activity Recognition
Sarrera elektronikoa:	http://hdl.handle.net/10361/14055

Antzeko izenburuak

Human Activity Recognition using wearable body sensor by machine learning approach
nork: Promi, Sadia Tangim, et al.
Argitaratua: (2020)

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

Human activity recognition and authentication system
nork: ALam, Md. Zubaer
Argitaratua: (2024)

Phase Transitions in Machine Learning
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Argitaratua: (2012)

Heart disease prediction using machine learning algorithms
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Argitaratua: (2019)

Predicting depression in Bangladeshi undergraduates using machine learning
nork: Choudhury, Ahnaf Atef, et al.
Argitaratua: (2019)

Study on human emotion based on facial expressions through human machine communication
nork: Murshed, Tahmin Aysha, et al.
Argitaratua: (2021)

Predicting climate induced floods using machine learning
nork: Saleh, Chowdhury Nafis, et al.
Argitaratua: (2022)

Scaling Up Machine Learning
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Argitaratua: (2012)

Predictive location generation using machine learning approach
nork: Hasan, S.A.M Khaled, et al.
Argitaratua: (2018)

Voice recognition using machine learning and central database to enhance security system
nork: Nur, Mir Md. Taosif, et al.
Argitaratua: (2022)

Fake profile detection in social media using image processing and machine learning
nork: Sen, Shuva, et al.
Argitaratua: (2021)

Machine learning as an indicator for breast cancer prediction
nork: Shadman, Tahsin Mohammed, et al.
Argitaratua: (2019)

Predicting depression in Bangladeshi undergraduates using machine learning
nork: Choudhury, Ahnaf Atef, et al.
Argitaratua: (2019)

Observing mega cities to grow from space and predicting its growth using machine learning techniques
nork: Chakma, Mitesh, et al.
Argitaratua: (2018)

Flood prediction using ensemble machine learning models
nork: Rahman, Tanvir
Argitaratua: (2024)

Flight fare prediction using machine learning
nork: Noyon, Md. Shaim Hosan, et al.
Argitaratua: (2024)

Efficient Spatio-temporal feature extraction for human action recognition
nork: Ghosh, Dipon Kumar
Argitaratua: (2022)

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

Understanding machine learning : from theory to algorithms /
nork: Shalev-Shwartz, Shai
Argitaratua: (2014)

Handwritten character recognition and prediction of age, gender and handedness using machine learning
nork: Al Emran, Md., et al.
Argitaratua: (2018)

Machine learning for stress prediction
nork: Salehin, Sherajus, et al.
Argitaratua: (2023)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
nork: Hossain, Prommy Sultana
Argitaratua: (2022)

Alumni opportunities using machine learning
nork: Siaum, Arshif Sharlimin, et al.
Argitaratua: (2019)

Detection of violent activity in surveillance system using different deep learning techniques
nork: Chakravorty, Tirthendu Prosad, et al.
Argitaratua: (2024)

Predicting criminal activities analyzing video signal using machine learning
nork: Sadman, Syed Md., et al.
Argitaratua: (2021)

Health monitoring IoT device with risk prediction using cloud computing and machine learning
nork: Das, Anindya, et al.
Argitaratua: (2021)

A machine learning approach to predict crime using time and location data
nork: Shama, Nishat
Argitaratua: (2017)

Bank loan prediction using machine learning
nork: Mahottam, Parthosarothi, et al.
Argitaratua: (2023)

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

Public vehicle ETA system using machine learning
nork: Kabir, Md. Miraz, et al.
Argitaratua: (2018)

Mobile sensors based human activity recognition using machine learning with explainable ML
nork: Rahman, Raihan, et al.
Argitaratua: (2021)

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

Breast cancer prediction using different machine learning models
nork: Khandker Al- Muhaimin, et al.
Argitaratua: (2020)

Heart disease prediction using techniques of classification in machine learning
nork: Afrose, Sadia, et al.
Argitaratua: (2021)

Comparison of machine learning techniques to predict cardiovascular disease
nork: Jaber, Mir Mohammad, et al.
Argitaratua: (2019)

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
nork: Hasan, Raad, et al.
Argitaratua: (2021)

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
nork: Barua, Debalina
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Traffic sign recognition using deep learning
nork: Amir, Afia Binte, et al.
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Predicting crime using deep learning
nork: Shihab, Muhammad Nafees, et al.
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