In an effort to equip aspiring technologists and researchers with cutting-edge skills, Jamia Millia Islamia (JMI) has ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Implementation of the A* heuristic search algorithm ... The second part off this project compares custom implementations of Naive Bayes, Random Forest, and MLP with their counterparts from Python ...

As part of SFI’s deepening commitment to a world that values and benefits from sustainably managed forests, SFI Implementation Committees promote responsible forestry and sourcing to create ...

Raising serious objections to the proposed implementation of the Forest Rights Act, 2006 (FRA) in the hill state, the Himachal Forest Regeneration Mission (HIFORM) — an apex organization formed ...

How AI and machine learning can enhance Kubernetes security. Learn about eBPF, IDS, and automated threat responses. Secure ...

The U.S. Department of Agriculture’s Forest Service announced a comment period for the Klamath and Shasta-Trinity Prescribed Fire Project. The forest service is proposing a prescribed burn ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...

Abstract: Random forest is effective and accurate in making predictions for classification and regression problems, which constitute the majority of machine learning applications or systems nowadays.