IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
IEEE

Fully Perturbed Self-Ensemble Framework using Cascaded Parallel CNN-Transformer for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
IEEE

SCCENet: A Symmetric CNN-Based Model for Channel Estimation in OFDM Systems

Abstract: In deep learning (DL)-based channel estimation for orthogonal frequency-division multiplexing (OFDM) systems, existing feature extraction blocks (FEBlocks) typically adopt a sequential ...
IEEE

Enhancing CNN-Based Signal Denoising: A Novel Metric Framework With Harmonic Suppression Through Hybrid Modeling

Abstract: Convolutional neural networks (CNNs) show promise for signal denoising but can introduce harmonic distortions due to their nonlinearity. This paper introduces a comprehensive evaluation ...
IEEE

ADMM-Enhanced CNN Training Framework With Global Convergence Guarantees

Abstract: Convolutional Neural Networks (CNNs) are widely employed across various domains due to their exceptional capability in extracting complex features from data. Traditional CNN training ...
IEEE

GCAF-Net: An Attention-Enhanced Deep CNN Framework with Grad-CAM for Classifying Rare and Endangered Medicinal Plants in Bangladesh

Abstract: In Bangladesh and comparable ecological zones, the classification of rare and endangered medicinal plants is critically important for preserving biodiversity and maintaining traditional ...
IEEE

An Experimental EACI-Based Localization Framework Using LQI and CNN for Consumer IoT

Abstract: Precise indoor localization remains a challenge in wireless sensor networks (WSNs) due to multipath fading, interference, and signal fluctuations in different environments. Traditional ...
KYMA

US and China have reached a framework agreement on trade ahead of Trump-Xi meeting. Here’s what we know

(CNN) — US and Chinese officials have reached a framework agreement, averting a potentially ruinous 157% tariff on Chinese goods while paving the way for a potential trade deal to be discussed between ...