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.

Xehetasun bibliografikoak
Egile Nagusiak:	Siaum, Arshif Sharlimin, Amin, Md. Jawad, Islam, Kamrul
Beste egile batzuk:	Uddin, Jia
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2019
Gaiak:	Machine learning Alumni opportunities Machine learning. Artificial intelligence.
Sarrera elektronikoa:	http://hdl.handle.net/10361/11411

Antzeko izenburuak

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
nork: Sharma, Tanmoyee, et al.
Argitaratua: (2021)

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

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

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

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

Heart attack prediction using machine learning and XAI
nork: Ahsan, Mumtahina
Argitaratua: (2023)

Machine Learning /
nork: Mitchell, Tom M. (Tom Michael), 1951-
Argitaratua: (1997)

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

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

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

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

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

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

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

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

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

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

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

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