Alumni opportunities using machine learning

Alumni opportunities using machine learning

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Bibliografiske detaljer
Main Authors:	Siaum, Arshif Sharlimin, Amin, Md. Jawad, Islam, Kamrul
Andre forfattere:	Uddin, Jia
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2019
Fag:	Machine learning Alumni opportunities Machine learning. Artificial intelligence.
Online adgang:	http://hdl.handle.net/10361/11411

Lignende værker

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

Machine learning approach for improving decision support in ICU
af: Siddiquee, Mohib Billah, et al.
Udgivet: (2019)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
af: Rafat, Md. Tasbi, et al.
Udgivet: (2023)

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

Real time performance analysis on DDoS attack detection using machine learning
af: Suvra, Debashis Kar, et al.
Udgivet: (2021)

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

Start up business solution using machine learning
af: Sohan, Saad Ahmed, et al.
Udgivet: (2018)

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

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

Yoga posture recognition using the deep learning process
af: Islam, Abidul, et al.
Udgivet: (2023)

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

Impact of machine learning and deep learning on biomedical applications and healthcare industry
af: Kabir, Md Saif, et al.
Udgivet: (2024)

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

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

Detecting propagandistic poster title: a machine learning approach
af: Mahmood, Riaz, et al.
Udgivet: (2024)

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

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

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

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
af: Rahman, Masroor, et al.
Udgivet: (2023)

A deep learning approach for prediction of ADHD using brain structure
af: Siam, Shafin Ahad, et al.
Udgivet: (2024)

Rumor detection in Bangla using machine learning & deep learning
af: Ahmed, Md Istiaq, et al.
Udgivet: (2023)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
af: Sharma, Tanmoyee, 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)

Classifying insect pests from image data using deep learning
af: Mohsin, Md. Raiyan Bin, et al.
Udgivet: (2022)

Implementation of diffusion model in realistic face generation
af: Rahman, Abidur, et al.
Udgivet: (2024)

Investigation assistant with suspect anticipating intelligence
af: Abdullah, Saqueeb, et al.
Udgivet: (2019)

Heart attack prediction using machine learning and XAI
af: Ahsan, Mumtahina
Udgivet: (2023)

Machine Learning /
af: Mitchell, Tom M. (Tom Michael), 1951-
Udgivet: (1997)

Early detection of breast cancer using machine learning
af: Fuad, Wasi Mohammad
Udgivet: (2019)

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

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
af: Shakil, Mahmudul Hasan
Udgivet: (2023)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
af: Ferdous, Md.Rubaiat, et al.
Udgivet: (2024)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
af: Abir, Tawhidur Rahman, et al.
Udgivet: (2019)

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

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

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

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

Estimating flood susceptibility of Bangladesh in the future year using machine learning
af: Alim, Sakib Bin, et al.
Udgivet: (2021)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
af: Marvin, Ggaliwango
Udgivet: (2022)

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