Abstract: This paper presents a comprehensive study on the development of a NPGP model based on the Random Forest algorithm for predicting medal distributions in international competitions. Initially, ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

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 ...

Gbledi (V/R), Sept. 08, GNA – Togbega Homatekpor V, the Paramount Chief of Gbledi Traditional Area, has appealed to Volta Regional Minister and stakeholders, to help protect the forest cover of the ...

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 ...

Abstract: This study proposes an innovation path prediction and decision model based on decision tree and random forest algorithm for the evolution process of dual innovation in SMEs. First, the ...