Classi cation of magnetic configurations using machine learning algorithms

Classi cation of magnetic configurations using machine learning algorithms

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

Bibliographic Details
Main Authors:	Bokul, Saffat, Abdus Shukur, Samiha Sabrin Md, Ahmed, Saquib
Other Authors:	Alam, Md. Ashraful
Format:	Thesis
Language:	English
Published:	Brac University 2019
Subjects:	Convolutional Neural Network Support vector machine Principle component analysis Skyrmion Ferromagnetic Spin-spira Antiskyrmion Anti-ferromagnetic Topological Machine learning Computer algorithms Machine learning > Mathematical models
Online Access:	http://hdl.handle.net/10361/12825

Similar Items

Performance evolution of Spin Valve transistor
by: Rashid, Shahriar, et al.
Published: (2019)

Performance evolution of spin valve transistor
by: Rashid, Shahriar, et al.
Published: (2018)

Influence of 𝑳𝒊+ Substitution on Magnetic and Electrical Properties of 𝑳𝒊𝒙𝑪𝒖𝟎.𝟓𝒁𝒏𝟎.𝟓−𝟐𝒙𝑭𝒆𝟐+𝒙𝑶𝟒
by: Mustafa, Anjum
Published: (2020)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
by: Shawan, Naveed Rahman, et al.
Published: (2019)

Performance analysis of machine learning classi ers for detecting PE malware
by: Azmee, ABM.Adnan, et al.
Published: (2020)

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

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

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

Analysis of the impact of online education using EEG signals and machine learning algorithms
by: Hoque, Ehsanul, et al.
Published: (2021)

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

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

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

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
by: Ahmed, Sajjad
Published: (2019)

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

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
by: Alhossen, Md., et al.
Published: (2021)

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

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

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
by: Chowdhury, Himadri, et al.
Published: (2019)

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

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

Application of machine learning in credit risk assessment: a prelude to smart banking
by: Dhruba, Mir Ishrak Maheer, et al.
Published: (2019)

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

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

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
by: Raizan, Syed Ahsan, et al.
Published: (2021)

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

Fault detection in waste water treatment plant using statistical analysis & machine learning
by: Haque, Md. Ezazul, et al.
Published: (2019)

Machine Learning /
by: Mitchell, Tom M. (Tom Michael), 1951-
Published: (1997)

Genetic algorithms in search, optimization, and machine learning /
by: Goldberg, David E. (David Edward), 1953-
Published: (1989)

An implementation and analysis of deep learning models for the detection of wheat diseases
by: Zubair, Ahmad, et al.
Published: (2024)

Real-time foul detection in football matches using machine learning techniques
by: Siddiqui, Bishal Sadi, et al.
Published: (2024)

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

Using deep learning algorithms to detect violent activities
by: Ammar, S.M. Rojin, et al.
Published: (2019)

Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
by: Habib, Adria Binte
Published: (2021)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
by: Nazmee, Namirah, et al.
Published: (2024)

Verifying online signatures through an iterative device independent model
by: Tahsin, Samiha, et al.
Published: (2024)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
by: Ahmed, Md. Sabbir, et al.
Published: (2021)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
by: Oishi, Fayza Rezwana, et al.
Published: (2020)

Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
by: Al Taawab, Abdullah, et al.
Published: (2022)

Detection of fake identities on twitter using supervised machine learning
by: Rahman, MD. Takiur, et al.
Published: (2019)

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