IEEE

Accelerating Meta-Learning with the Enhanced Reptile Algorithm for Rapid Adaptation in Neural Networks

Abstract: Reptile is an innovative meta-learning approach that improves the process of neural networks training across diverse tasks. Reptile differs from the preference gradient strategies. It ...
IEEE

Optimized Quantum CNN With Improvised iHow Algorithm for MRI-Based Dementia Diagnosis

Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...
IEEE

Research on Artificial Intelligence-Assisted Personalized Learning Path Generation Algorithm Based on Deep Learning

Abstract: This study presents deep learning models' design, implementation, and evaluation to generate personalized learning paths in educational environments. Data was collected from diverse sources, ...
IEEE

Depthwise Convolution with Winograd Algorithm for Efficient CNN Acceleration

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...

Teen Develops Flood-Detecting CubeSat

High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...
IEEE

Exploring Color Features with Nasnet CNN and Improved Water Cycle Algorithm for Product Emotional Design

Abstract: This research investigates the multidimensional domain of color image optimization design for emotional product color design, in this case, tricolor product color schemes. By introducing ...
IEEE

Research on the Precision Compensation of Light-Quantum Flowmeter With CPO–PSO–CNN Algorithm

Abstract: In the petroleum industry, light-quantum flowmeters can perform multiphase measurement of gas, liquid, and solid phases, which has attracted significant attention. However, their measurement ...
IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

Fault Diagnosis of Photovoltaic Power Stations Based on the CNN-LSTM-BP Algorithm

Abstract: Driven by the strategic goals of carbon peak and carbon neutrality, photovoltaic (PV) power generation has developed rapidly. However, PV power stations are prone to failures such as ...
IEEE

A Hybrid Technique based on Fusion of Bat Algorithm (BA) - Grey Wolf Optimizer (GWO) - Deep CNN for Classification of Military Ground Vehicles in SAR Aerial Imagery

Abstract: This paper proposes a novel hybrid classification model obtained by fusion of two Swarm Intelligence techniques (Bat Algorithms (BA) and Grey Wolf Optimizer (GWO)) with a Deep Convolutional ...
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 ...