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Section Highlights View all Applications of Artificial Intelligence articles

Pavement defect detection algorithm SSC-YOLO for fusing multiscale spatial channels in YOLOv8
"The SSC-YOLO method, which enhances YOLOv8 by utilizing multiscale spatial channel fusion techniques, is presented in this study as a major breakthrough in pavement fault detection. It is significant because it tackles significant shortcomings in feature preservation and small-object identification, two crucial aspects of real-world infrastructure monitoring. The suggested model's usefulness in autonomous road inspection systems is improved by its consistent gains in mAP and AR across a range of object sizes. Additionally, by providing a lightweight, accurate architecture with enhanced feature extraction and parameter efficiency—balancing deployment practicality with performance in resource-constrained environments—the study advances the discipline."
Doğan Aydın, Handling Editor
Apple estimation and recognition in complex scenes using YOLO v8
"This work presents a specific and modern analysis of images"
Davide Chicco, Handling Editor
Design of personalized creation model for cultural and creative products based on evolutionary adaptive network
"The research introduces a novel Evolutionary Adaptive Generative Aesthetic Network (EAGAN), a significant advancement in personalized cultural and creative product design, by integrating text-driven guidance, adaptive style modulation, and evolutionary optimization within the Stable Diffusion architecture"
Muhammad Asif, Handling Editor
Enhanced piano audio feature recognition: a novel MFCC-based method with F-HRSF and convolutional neural network
"The study significantly refines audio feature extraction by introducing the F-HRSF-based MFCC improvement and leveraging Fisher ratio subband screening, offering a novel framework that enhances recognition accuracy for piano audio. It provides new methodological insights and practical applications, paving the way for further research and innovation in audio analysis and processing technologies"
Muhammad Asif, Handling Editor
Multiscale attention-based network to enhance detection and classification of autism spectrum disorders using convolutional neural network
"The article proposes an interesting application of deep learning to autism data."
Davide Chicco, Handling Editor
Tab transformer with meta-ensemble learning approaches for enhanced diabetes prediction
"This research introduces a novel hybrid model for diabetes prediction. It combines advanced deep learning techniques with traditional ensemble methods, creating a system that is more powerful than any single model alone."
Fabio Cumbo, Handling Editor
Leveraging deep learning and ensemble learning for air quality forecasting in smart urban environment
"Topic is relevant and application of deep learning to environment impact is novel."
Rajeev Agrawal, Handling Editor
Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data
"It is an active research field since it mixes artificial intelligence and Internet of Things topics."
Álvar Arnaiz-González, Handling Editor
A hybrid deep learning approach with progressive cyclical CNN and firebug swarm optimization for breast cancer detection
"The article presents a relevant application of deep learning to breast cancer data"
Davide Chicco, Handling Editor
Sales forecasting for retail stores using hybrid neural networks and sales-affecting variables
"In this paper the authors present a novel approach based on neural networks for predicting sales in retail stores, which is a major problem in that area."
Juan Lara, Handling Editor
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