Predictive location generation using machine learning approach

Predictive location generation using machine learning approach

Cataloged from PDF version of thesis report.

Bibliografiske detaljer
Main Authors:	Hasan, S.A.M Khaled, Nahian, Shariar Al, Islam, Sakibul
Andre forfattere:	Chakrabarty, Dr. Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2018
Fag:	GPS Machine learning Location generation
Online adgang:	http://hdl.handle.net/10361/9018

Lignende værker

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

Business location recommendation using check-in data
af: Ahmed, Nasim Uddin, et al.
Udgivet: (2018)

Finding suitable locations for live campaigns using different machine learning techniques
af: Qudar, Mohiuddin Md. Abdul, et al.
Udgivet: (2018)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
af: Shihab, Ibne Farabi, et al.
Udgivet: (2018)

Location,time and preference aware restaurant recommendation method
af: Habib, Md. Ahsan, et al.
Udgivet: (2017)

Network based location tracking using MAC address of smart devices
af: Chowdhury, Md. Abu Hena, et al.
Udgivet: (2018)

Heart disease prediction using machine learning algorithms
af: Ali, Musfiq, et al.
Udgivet: (2019)

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

Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
af: Shrestha, Soptorsi Paul, et al.
Udgivet: (2021)

Wall & floor punch location & dimension layout for basement plan
af: Electro-Mechanical Control Services (EMCS)
Udgivet: (2023)

Prediction of human activity using machine learning
af: Tisha, Sadia Nasrin, et al.
Udgivet: (2020)

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

Automated drug detection and location identification for visually impaired using image processing and voice commands
af: Roy, Utshab, et al.
Udgivet: (2018)

Regarding providing boundary line location of land
af: BUCG-ABC Joint Venture (BUCG-ABC JV)
Udgivet: (2023)

Supervising vehicle using pattern recognition
af: Lushan, Mihodi Hasan, et al.
Udgivet: (2018)

Image generation from freehand sketches using Diffusion Models
af: Tanvir, Farhan, et al.
Udgivet: (2024)

Autonomous car using full mapping GPS system
af: Sakkhor, Tanveer Hossen, et al.
Udgivet: (2016)

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

Flood prediction using ensemble machine learning models
af: Rahman, Tanvir
Udgivet: (2024)

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

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

A machine learning approach to predict movie box-office success
af: Quader, Nahid, et al.
Udgivet: (2018)

Machine learning for stress prediction
af: Salehin, Sherajus, et al.
Udgivet: (2023)

The demand-side location determinants for attracting foreign direct investment: theory and empirics
af: Hoque, Anwarul
Udgivet: (2010)

Machine learning-based approach on predicting online shopping addiction using EEG signals
af: Nawer, Nafisa, et al.
Udgivet: (2023)

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

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

Machine learning approach for ECG analysis and predicting different heart diseases
af: Tithi, Sushmita Roy, et al.
Udgivet: (2019)

Prediction of bipolar disorder from mental episodes using machine learning approach
af: Tasmeem, Sumaiya, et al.
Udgivet: (2023)

Machine fault diagnosis using a modified transferable CNN
af: Shammi, Sanjana Khan
Udgivet: (2024)

Augmented reality based flight assisting system under emergency circumstances
af: Islam, A.R.M. Rizwan, et al.
Udgivet: (2021)

A machine learning approach to detect depression and anxiety using supervised learning
af: Ullas, Md Tahmidur Rahman, et al.
Udgivet: (2019)

Electrical system for generator
af: WOHA Designs PTE LTD, et al.
Udgivet: (2023)

Cardiovascular disease prediction model using Machine Learning Algorithm
af: Arefin Mirdha, MD Shamsul
Udgivet: (2023)

A machine learning approach to credit default prediction and Individual credit scoring
af: Rahman, Md. Jaber, et al.
Udgivet: (2018)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
af: Rahee, Arnob, et al.
Udgivet: (2021)

Flood prediction using machine learning models
af: Syeed, Miah Mohammad Asif, et al.
Udgivet: (2022)

Finding ideal geographical location for businesses using machine learning technique
af: Mahmud, Mir Ibtid, et al.
Udgivet: (2022)

Infill material in the sunken area (CM4 locations)
af: Brac University
Udgivet: (2023)

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