TikTok users “absolutely justified” in fearing MAGA makeover, experts say

A TikTok USDS spokesperson told Ars that US owners have not yet made any changes to the algorithm or content moderation ...
IEEE

Generating Cost Optimized Smart Contracts from Deep Learning Code using Large Language Models

Abstract: While a plethora of deep learning (DL) models exist, there is hardly any verifiable DL code that can be executed on public blockchains. In this paper, we propose approach named as PSTL ...
IEEE

A photoplethysmogram-based 1D-CNN algorithm for automated atrial fibrillation detection

Abstract: Atrial fibrillation (AF) is an irregular heartbeat that originates in the upper chambers of the heart (atria). This paper presents a method for the detection of AF events from ...
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 ...
Frontiers

1D-CNN for non-cooperative rotational Doppler signal extraction

The discovery of the rotational Doppler effect (RDE) has opened new opportunities for detecting parameters of rotating targets. In recent years, the physical mechanisms underlying this effect have ...
IEEE

Research on Audio Feature Extraction and Music Style Automatic Classification Algorithm Based on Deep Learning

Abstract: With the increasing demand for accurate classification of music content, the automatic classification technology of music style is particularly important in the fields of personalized music ...
Frontiers

Proximal hyperspectral detection of rice and weed: characterization and discriminant analysis

Introduction: Weeds represent a critical component of agricultural biodiversity and contribute to a range of ecosystem services, yet they remain a major constraint on global crop production. Remote ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
IEEE

A Novel Stacked Ensemble Learning for Early Diabetes Prediction: A Hybrid Approach with 1D-CNN, LSTM, and Traditional Machine Learning Classifiers

Abstract: Diabetes is a widespread chronic disease that impacts millions of individuals around the globe. Recent advances in artificial intelligence have highlighted the potential of machine learning ...