Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Tech Xplore

Visualizing the internal structure behind AI decision-making

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

How To Prepare For AI’s Unprecedented Network Demands

Before jumping into the AI deep end, it’s vital to take the time to understand how your infrastructure really fits together.

Skill Modules for Deep Agent CLI Cut Confusion and Accelerate Task Flow

Cut confusion and token waste using modular skills in Deep Agent CLI. YAML front matter guides use, then the full skill.md ...

Lingyun Lai Enhances Data Security Evaluation with Deep Learning and Hierarchical Analytical Frameworks

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...
IEEE

SLP-Based Dual-Functional Waveform Design for ISAC Systems: A Deep Learning Approach

Abstract: Integrated Sensing and Communication (ISAC) is emerging as a critical enabling technology for 6G communication systems, with increasing attention on dual-functional waveform design to ...
IEEE

A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network

Abstract: Skin lesions are localized regions of the skin exhibiting atypical growth or appearance and can be either benign or malignant. Detecting and classifying these lesions accurately is crucial ...
Que.com on MSN

Enhancing Deep Neural Networks with Architectural Optimization Techniques

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...