IEEE

A Hybrid Deep Learning Framework Combining Convolutional, Transformer, and GRU Models with Mixture of Experts for RNA Sequence Analysis

Abstract: This work proposes a novel hybrid deep learning model that incorporates CNNs, Transformer models, and GRU layers, further extended with an MoE model, for advanced sequence analysis. The ...
Analytics Insight

How to Become an AI Engineer in 2026: Skills, Projects, and Salary

Overview AI engineering requires patience, projects, and strong software engineering fundamentals.Recruiters prefer practical ...
Hosted on MSN

Photoshop tutorial: How to create a cinematic stargate in deep space

Photoshop cc 2014 tutorial showing how to create a stunning, cinematic, wide screen, deep space, stargate from scratch. Royalty Free Music provided by Beatsuite High quality, copyright-free music for ...
IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
Scientific Research Publishing

Huang, S., Zhao, Z., Li, C. and Bai, L. (2025) Timekan: Kan-Based Frequency Decomposition Learning Architecture for Long-Term Time Series Forecasting. arXiv:2502.06910.

ABSTRACT: Air pollution has become a pressing challenge to global public health and environmental governance. Accurate analysis of pollutant concentrations critically depends on the completeness of ...