MIT Technology Review

Learning in motion

People use their bodies—not just their brains—to think. So the MIT Project on Embodied Education brings movement to the ...

Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
IEEE

Adaptive Honeypots using Reinforcement Learning Algorithms DQN and DDQN in Ensemble Framework: A Systematic Literature Review

Abstract: The exponential growth of sophisticated cyber threats has necessitated the evolution from traditional static honeypots to intelligent, adaptive deception systems. This systematic literature ...
techwyse.com

Social Media Algorithms 2026 — Threads, Facebook, X, TikTok and Instagram Algorithm Updates

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...
Nature

Comparative analysis of algorithmic approaches in ensemble learning: bagging vs. boosting

Ensemble learning is widely applied in various real-world settings, with Bagging and Boosting being two core algorithms. Although these techniques have been extensively investigated through ...
Nature

An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things

The Internet of Things (IoT) plays a significant part in the healthcare field. The growth of smart devices, smart sensors, and advanced lightweight communication protocols has created an opportunity ...
Scientific Research Publishing

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()

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 security ...
Scientific Research Publishing

Asif, D., Bibi, M., Arif, M.S. and Mukheimer, A. (2023) Enhancing Heart Disease Prediction through Ensemble Learning Techniques with Hyperparameter Optimization. Algorithms, 16 ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...
IEEE

EffiDenseGenOp: Ensemble Transfer Learning With Hyperparameter Tuning Using Genetic Algorithm Optimization for PCOS Detection From Ultrasound Sonography Images

Abstract: In this research, we present the revolutionary ‘EffiDenseGenOp’ framework for Polycystic Ovary Syndrome (PCOS) detection, leveraging the amalgamation of Ensembled Transfer Learning Models.
Frontiers

Reinforcement learning-based multi-model ensemble for ocean waves forecasting

This study addresses the challenges of uncertainty in wave simulations within complex and dynamic ocean environments by proposing a reinforcement learning-based model ensemble algorithm. The algorithm ...
LinkedIn

A Deep Dive into Ensemble Algorithms and Combining Multiple Models

There are several commonly used machine learning algorithms and it's difficult to choose the right one based on the use cases and other factors. But you are not limited to using only one machine ...
LinkedIn

Ensemble machine learning algorithms

Ensemble machine learning algorithms combine multiple base models to produce a single, stronger predictive model. The primary goal of ensemble methods is to improve the accuracy and robustness of ...