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

Optimized Blood Pressure Prediction With a Hybrid CNN–SVR Model Using Multiwavelength PPG

Abstract: Noninvasive vital sign monitoring, especially blood pressure (BP), is crucial for evaluating overall health and identifying early indicators of medical issues. Photoplethysmography (PPG) is ...
IEEE

Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis

Abstract: Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment.
IEEE

Research on Polarity-Linear Attention-Based CNN Models for Emotion Recognition

Abstract: This study proposes an improved CNN model incorporating Polar Linear Attention Mechanism for facial expression recognition tasks. Addressing the limitations of traditional CNNs in capturing ...
IEEE

Hybrid CNN-LSTM Model for DDoS Attack Detection in Internet of Things-based Healthcare Industry 5.0

Abstract: The convergence of the Internet of Things (IoT) and Software-Defined Networking (SDN) has paved the way for a new technological paradigm in Healthcare Industry 5.0. This integration ...
CNN

Lionfish leather and python handbags: These accessories are made from exotic invasive animals

Leather has been a staple of human fashion for millennia, but the fashion industry is increasingly embracing more sustainable alternatives. Traditional leather comes mainly from cows, and cattle ...
IEEE

KD-SCA : Improving Lightweight CNN Model Profiling Side-Channel Analysis with Knowledge Distillation

Abstract: The performance of Deep Learning-based Side Channel Analysis (DL-SCA) is highly dependent on the network architecture design. However, existing studies face a fundamental limitation: ...
IEEE

Adaptive Convolution for CNN-Based Speech Enhancement Models

Abstract: Deep learning-based speech enhancement methods have significantly improved speech quality and intelligibility. Convolutional neural networks (CNNs) have been proven to be essential ...
GitHub

Python: Bug: Python - Semantic Kernel Realtime isn't supporting the GA versions of Azure OpenAI realtime models

When attempting to use any of the new GA models in Azure OpenAI for Semantic Kernel Realtime, you're faced with an error session.model Input should be 'gpt-4o ...
IEEE

Development of Scalable Deep Learning Frameworks Utilizing Advanced Hybrid Models like Transformer-CNN for Distributed Computing Environments

Abstract: Over the past few years especially in the context of communication and information processing the importance of Natural language processing which demands efficient deep learning models has ...
IEEE

WB-Former: A Hybrid Model of CNN and Transformer for Water Body Extraction in Complex Scenes

Abstract: Extracting small, narrow, or irregularly shaped water bodies from high-resolution remote sensing images is challenging. We introduce a novel framework that merges convolutional neural ...