High-precision analysis of 2D materials microstructures achieved using electron microscopy and machine learning

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Scientific Research Publishing

Halder, R.K., et al. (2024) Enhancing K-Nearest Neighbor Algorithm: A Com-prehensive Review and Performance Analysis of Modifications. Journal of Big Data, 11, Article No. 113.

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...
GitHub

Pairs Trading Strategy with Machine Learning (KNN)

This project implements a pairs trading strategy integrated with machine learning using the K-Nearest Neighbors (KNN) algorithm. Developed as part of an internship at Deepscope, the strategy aims to ...
GitHub

Tweet Classification with Machine Learning

tweet_classification/ │ ├── data/ # CSV dataset files │ └── labeled_data.csv │ ├── models/ # Contains each model's training function │ ├── knn_model.py │ ├── svm_model.py │ ├── ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...
Scientific Research Publishing

Baillifard, A., Gabella, M., Banta Lavenex, P. and Martarelli, C.S. (2023) Implementing Learning Principles with a Personal AI Tutor: A Case Study. arXiv: 2309.13060.

ABSTRACT: The 2018 General Education Program in Vietnam emphasizes personalized learning and the application of technology in teaching. This study proposes a customized learning system integrating ...
IEEE

Credit Card Fraud Detection Using KNC, SVC, and Decision Tree Machine Learning Algorithms

Abstract: Credit cards are replacing cash in shopping. With the increase in popularity of plastic money like credit cards, hackers are misusing this as an opportunity to commit fraud. In this research ...
IEEE

LASSO-mCGA: Machine Learning and Modified Compact Genetic Algorithm-Based Biomarker Selection for Breast Cancer Subtype Classification

Abstract: Breast cancer is the most common cancer type among females and is one of the leading causes of death worldwide. Being a heterogeneous disease, subtyping breast cancer plays a vital role in ...