Predictive location generation using machine learning approach

Predictive location generation using machine learning approach

Cataloged from PDF version of thesis report.

Bibliografski detalji
Glavni autori:	Hasan, S.A.M Khaled, Nahian, Shariar Al, Islam, Sakibul
Daljnji autori:	Chakrabarty, Dr. Amitabha
Format:	Disertacija
Jezik:	English
Izdano:	BRAC University 2018
Teme:	GPS Machine learning Location generation
Online pristup:	http://hdl.handle.net/10361/9018

Similar Items

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

Business location recommendation using check-in data
od: Ahmed, Nasim Uddin, i dr.
Izdano: (2018)

Finding suitable locations for live campaigns using different machine learning techniques
od: Qudar, Mohiuddin Md. Abdul, i dr.
Izdano: (2018)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
od: Shihab, Ibne Farabi, i dr.
Izdano: (2018)

Location,time and preference aware restaurant recommendation method
od: Habib, Md. Ahsan, i dr.
Izdano: (2017)

Network based location tracking using MAC address of smart devices
od: Chowdhury, Md. Abu Hena, i dr.
Izdano: (2018)

Heart disease prediction using machine learning algorithms
od: Ali, Musfiq, i dr.
Izdano: (2019)

Predicting depression in Bangladeshi undergraduates using machine learning
od: Choudhury, Ahnaf Atef, i dr.
Izdano: (2019)

Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
od: Shrestha, Soptorsi Paul, i dr.
Izdano: (2021)

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

Prediction of human activity using machine learning
od: Tisha, Sadia Nasrin, i dr.
Izdano: (2020)

Predicting climate induced floods using machine learning
od: Saleh, Chowdhury Nafis, i dr.
Izdano: (2022)

Automated drug detection and location identification for visually impaired using image processing and voice commands
od: Roy, Utshab, i dr.
Izdano: (2018)

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

Supervising vehicle using pattern recognition
od: Lushan, Mihodi Hasan, i dr.
Izdano: (2018)

Image generation from freehand sketches using Diffusion Models
od: Tanvir, Farhan, i dr.
Izdano: (2024)

Autonomous car using full mapping GPS system
od: Sakkhor, Tanveer Hossen, i dr.
Izdano: (2016)

Predicting depression in Bangladeshi undergraduates using machine learning
od: Choudhury, Ahnaf Atef, i dr.
Izdano: (2019)

Flood prediction using ensemble machine learning models
od: Rahman, Tanvir
Izdano: (2024)

Crop prediction based on geographical and climatic data using machine learning and deep learning
od: Alif, Al Amin, i dr.
Izdano: (2019)

Flight fare prediction using machine learning
od: Noyon, Md. Shaim Hosan, i dr.
Izdano: (2024)

A machine learning approach to predict movie box-office success
od: Quader, Nahid, i dr.
Izdano: (2018)

Machine learning for stress prediction
od: Salehin, Sherajus, i dr.
Izdano: (2023)

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

Machine learning-based approach on predicting online shopping addiction using EEG signals
od: Nawer, Nafisa, i dr.
Izdano: (2023)

Bank loan prediction using machine learning
od: Mahottam, Parthosarothi, i dr.
Izdano: (2023)

Machine learning as an indicator for breast cancer prediction
od: Shadman, Tahsin Mohammed, i dr.
Izdano: (2019)

Machine learning approach for ECG analysis and predicting different heart diseases
od: Tithi, Sushmita Roy, i dr.
Izdano: (2019)

Prediction of bipolar disorder from mental episodes using machine learning approach
od: Tasmeem, Sumaiya, i dr.
Izdano: (2023)

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

Augmented reality based flight assisting system under emergency circumstances
od: Islam, A.R.M. Rizwan, i dr.
Izdano: (2021)

A machine learning approach to detect depression and anxiety using supervised learning
od: Ullas, Md Tahmidur Rahman, i dr.
Izdano: (2019)

Electrical system for generator
od: WOHA Designs PTE LTD, i dr.
Izdano: (2023)

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

A machine learning approach to credit default prediction and Individual credit scoring
od: Rahman, Md. Jaber, i dr.
Izdano: (2018)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
od: Rahee, Arnob, i dr.
Izdano: (2021)

Flood prediction using machine learning models
od: Syeed, Miah Mohammad Asif, i dr.
Izdano: (2022)

Finding ideal geographical location for businesses using machine learning technique
od: Mahmud, Mir Ibtid, i dr.
Izdano: (2022)

Infill material in the sunken area (CM4 locations)
od: Brac University
Izdano: (2023)

Breast cancer prediction using different machine learning models
od: Khandker Al- Muhaimin, i dr.
Izdano: (2020)