IEEE

A Survey on Hyperparameters Optimization of Deep Learning for Time Series Classification

Abstract: Time series classification (TSC) is essential in various application domains to understand the system dynamics. The adoption of deep learning has advanced TSC, however its performance is ...
IEEE

2955-2025 - IEEE Recommended Practice for Creating Self-Learning Tutorials and Side-by-Side Learning

Abstract: A methodology for creating self-learning tutorials, including tutorials that use screencast technology, is described in this recommended practice. Methods and practices that are applicable ...
IEEE

Phishing Website Detection Using Deep Learning Models

Abstract: This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Hosted on MSN

Photoshop tutorial: How to make a NEBULA and celestial sphere in deep space

Photoshop CS6 tutorial showing how to make a colorful nebula and celestial sphere in deep space. Supreme Court to rule on Trump’s bid to end birthright citizenship Wife of Southern California farming ...
IEEE

Deep Learning for Ocean Forecasting: A Comprehensive Review of Methods, Applications, and Datasets

Abstract: As a longstanding scientific challenge, accurate and timely ocean forecasting has always been a sought-after goal for ocean scientists. However, traditional theory-driven numerical ocean ...
IEEE

DRLLog: Deep Reinforcement Learning for Online Log Anomaly Detection

Abstract: System logs record the system’s status and application behavior, providing support for various system management and diagnostic tasks. However, existing methods for log anomaly detection ...
IEEE

Deep-Learning-Based Dual Denoising Algorithm for Shielding-Free Magnetic Resonance Imaging

Abstract: Electromagnetic shielding is crucial in magnetic resonance imaging (MRI), particularly at low- and ultralow-magnetic fields. However, the cost of employing physical enclosures for shielding ...
GitHub

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. agent/: Agent library (dr-agent-lib) with MCP-based tool ...
IEEE

Deep Reinforcement Learning for Distribution System Operations: A Tutorial and Survey

The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing difficulties for ...