Recommendation system for mood stabilization using content recommendation

Recommendation system for mood stabilization using content recommendation

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

Bibliografske podrobnosti
Main Authors:	Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Drugi avtorji:	Rabiul Alam, Dr. Md. Golam
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2024
Teme:	Emotion classification Electroencephalograms (EEGs) Content recommendation Mood stabilization Convolutional Neural Network (CNN) Long Short-Term Memory (LSTM) Analytic Hierarchy Process (AHP) Text Classification Pearson correlation Artificial intelligence. Computational intelligence. Computer simulation. User interfaces (Computer systems).
Online dostop:	http://hdl.handle.net/10361/22797

Podobne knjige/članki

Detection of mind wandering using EEG signals
od: Tasika, Nadia Jebin, et al.
Izdano: (2020)

Classi fication of motor imagery tasks based on BCI paradigm
od: Hossain, Nahid, et al.
Izdano: (2019)

Classification of music based on correlation between mood, linguistic and audio features
od: Sobhan, Md. Mashrur Bari
Izdano: (2018)

Recommendation framework: Improving automated collaborative filtering by trusted category
od: Noor, Md Sadaf
Izdano: (2021)

Detection and prediction of epileptic seizure using different machine learning classifiers
od: Crystal, Afnan Ahmed, et al.
Izdano: (2023)

EEG signals analysis for motor imagery brain computer interface
od: Rahman, La z Maruf, et al.
Izdano: (2019)

User interface design for programmers /
od: Spolsky,Joel
Izdano: (2001)

Implementing a recommender system for CS undergraduate students using machine learning
od: Tasnuva, Umama Sumlin, et al.
Izdano: (2019)

Five recommendations for the health sector
od: Chowdhury, Ahmed Mushtaque Raza
Izdano: (2021)

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

A comprehensive NLP-based voice assistant system for streamlined information retrieval in metro rail services of Bangladesh
od: Rahman, MD. Abir, et al.
Izdano: (2024)

Preliminary design concept for startups: minimum viable user experience
od: Haque, Tanzimul, et al.
Izdano: (2023)

আম /
od: সিদ্দিকী, মাহবুব

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
od: Farhan, Rafid, et al.
Izdano: (2024)

DWT based transformed domain feature extraction approach for epileptic seizure detection
od: Mostafa, Mahajabin, et al.
Izdano: (2021)

Genre classification of movies using their synopsis
od: Rahman, Ramiz Ihteshamur, et al.
Izdano: (2018)

Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
od: Uddin, Md.Tousif, et al.
Izdano: (2021)

Occurrence of analytical techniques recommended by B.P. for certain formulation
od: Maliha, Shaulina Jahan
Izdano: (2024)

An artificial intelligence-enabled crop recommendation system
od: Uddin, Raiyan, et al.
Izdano: (2023)

Designing the user interface : strategies for effective human-computer interaction /
od: Shneiderman, Ben
Izdano: (2010)

Predicting peak performance of a cricket player using machine learning and data analytics
od: Azam, Akif, et al.
Izdano: (2023)

Implementing a recommender system for Bangladeshi faculty search using machine learning
od: Hasan, Md.Khalid
Izdano: (2020)

Personalization in federated recommendation system using SVD++ with explainability
od: Patwary, Kabbya Kantam, et al.
Izdano: (2022)

An approach to detect epileptic seizure using XAI and machine learning
od: Bijoy, Emam Hasan, et al.
Izdano: (2022)

International classification of impairments, disabilities, and handicaps : a manual of classification relating to the consequences of disease.
Izdano: (1980)

Dewey decimal classification and relative index /
od: Dewey, Melvil, 1851-1931
Izdano: (1996)

An empirical investigation of Bangladeshi websites from a gender perspective
od: Huq, Rakshanda Mehnaz, et al.
Izdano: (2019)

An empirical study of collaborative filtering algorithms for building a diet recommendation system
od: Ornab, Ashique Mohaimin, et al.
Izdano: (2018)

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

Product management and user experience for creating successful software in SELISE digital platform
od: Chowdhury Alfi, Shams Enam
Izdano: (2024)

Optimizing restaurant recommendations through sentiment analysis
od: Juha, Tasnia, et al.
Izdano: (2024)

A document vectorization approach to Resume Ranking System(RRS)
od: Nabi, Norun
Izdano: (2023)

Ripple down rule based decision intelligence for mental disorder diagnosis
od: Rahman, G.M. Arafat, et al.
Izdano: (2024)

Leaf classification by feature extraction using CNN
od: Bhuiyan, Md. Mazharul Islam, et al.
Izdano: (2020)

Image classification using deep neural network for efficient identification of traffic sign
od: Saha, Sourajit
Izdano: (2018)

Gender budgeting report: forty ministries/divisions 2013-2014
Izdano: (2013)

Gender budgeting report 2014-2015: forty ministries/divisions
Izdano: (2014)

Gender budget report 2018-19 : forty three ministries/divisions
Izdano: (2018)

Frequency of analytical techniques recommended by British Pharmacopoeia (BP)
od: Ema, Sumaiya Sultana
Izdano: (2024)

Exploring the barriers to access feminine healthcare among marginalized women in Bangladesh and design implications
od: Puja, Sreya Sanyal, et al.
Izdano: (2023)