IEEE

Image-Based Accelerated Prediction of Thermal Properties of Package Substrates Using Combined Deep-Learning and an Enhanced Thermal Network Model

Abstract: As the need for processing large amounts of data increases, power consumption and the complexity of semiconductor package patterns also rise, making thermal management crucial. Traditional ...
IEEE

Attention Integrated Residue CNN for Classification of DNA-Binding and RNA-Binding Proteins

Abstract: The classification of DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) is essential for understanding molecular interactions and regulatory functions. However, the existing ...
Vietnam Investment Review

WiMi researches hybrid quantum-classical learning for multi-class image classification

WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.
Analytics Insight

10 Innovative Keras Project Ideas with Source Code for 2025

Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making ...
The Manila Times

WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), is a leading global Hologram Augmented Reality ('AR') Technology provider.
IEEE

Deep Learning Based Underwater Image Enhancement Using Hybrid CNN GAN Approach with Self Attention Mechanism

Abstract: Marine exploration, environmental monitoring as well as autonomous underwater vehicles need underwater imaging, however, it is severely degraded by light absorption, scattering and color ...
IEEE

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer

Abstract: Global effective receptive field plays a crucial role for image style transfer (ST) to obtain high-quality stylized results. However, existing ST backbones (e.g., CNNs and Transformers) ...
IEEE

CNN-LSTM-Attention based Predictive Model for Thermal Error in CNC Machine Tool Spindles

Abstract: Aiming at the problem that most thermal error prediction models for machine tools adopt a single neural network architecture, which is difficult to ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
IEEE

Olfactory Prediction Using CNN-CBAM Model

Abstract: Olfactory perception prediction plays a vital role in multi-modal sensory research, offering insights for health monitoring and personalized experiences. In this work, we propose a novel CNN ...
IEEE

IRSRMamba: Infrared Image Super-Resolution via Mamba-Based Wavelet Transform Feature Modulation Model

Abstract: Infrared image super-resolution (IRSR) is challenging due to weak structures and textures. While Mamba-based state-space models (SSMs) efficiently model long-range dependencies, their ...
IEEE

State-Space-Model-Guided Deep Feature Perception Network for Insulator Defect Detection in High-Resolution Aerial Images

Abstract: With the advancement of high-resolution aerial imaging technology enabled by unmanned aerial vehicles (UAVs), insulator defect detection based on images has emerged as a key approach for ...