Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Accurately quantifying forest volume and identifying its driving mechanisms are critical for achieving carbon neutrality objectives. Using data from the National Forest Inventory (NFI), plot-level ...

Abstract: This research paper presents a comprehensive exploration of advanced text classification methodologies, specifically tailored for the intricate task of distinguishing phishing emails from ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

NOTTINGHAM, England (AP) — Nottingham Forest owner Evangelos Marinakis has relinquished his position as a person with significant control of the Premier League club as it closes in on Champions League ...

Abstract: The Random Forest model, a supervised learning algorithm comprising numerous decision trees, is known for its high accuracy and generalization capabilities. This paper extends its ...

This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and ...