Thinking of diving into deep learning in 2025? Here's how I'd start today—from foundational concepts to cutting-edge tools. AI is evolving fast, but it's never too late to get in. #DeepLearning2025 ...

Abstract: Deep learning is increasingly adopted in future communication systems to meet requirements within constrained resources. End-to-end (E2E) autoencoder models leverage deep neural networks for ...

Ethan Winn is a Cherokee Nation citizen and grew up attending the tribe’s immersion school. He recalled not seeing any mainstream movies or shows in the Cherokee language — tools, he said, could have ...

Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...

Predicts velocity and pressure fields for various Reynolds numbers. Integrates CAE for dimensionality reduction and reconstruction. Uses LSTM to capture temporal dynamics for short-term predictions.

I decided to tackle a viewer’s question about cleaning stained table mats, even though I’m not a fan of coffee spills myself! In this video, I walk you through my step-by-step cleaning routine, from ...

After training on pathologists’ slide-reviewing data, the PEAN model is capable of performing a multiclassification task and imitating the pathologists’ slide-reviewing behaviors (see Panel a). The ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...