Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks, ...

One of the standout features of the study is the application of Particle Swarm Optimization (PSO) to improve the efficiency ...

Microplastics—the tiny particles of plastic shed when litter breaks down—are everywhere, from the deep sea to Mount Everest, ...

Bhaskara Garnimitta's AI-driven predictive maintenance framework significantly advances cloud infrastructure management ...

Deep neural networks can quantify facial characteristics more accurately than previous methods, improving predictions of ...

Second, using a fully connected neural network, an orbital lifetime prediction model is established based on deep learning. The hyperparameters of the deep learning model are optimized using the black ...

Artificial intelligence (AI) has significantly improved the predictability of pathogenic emergence and transmissibility. A ...

This project focuses on object detection for crime prevention, specifically detecting weapons (knives and guns) using deep learning algorithms. The system leverages YOLOv5, SSD, and R-CNN for ...

Producing high-performance titanium alloy parts -- whether for spacecraft, submarines or medical devices -- has long been a slow, resource-intensive process. Even with advanced metal 3D-printing ...

Few professionals have navigated the complex journey from legacy systems to modern architectures as successfully as Sai Kiran Malikireddy, who represents a new generation of technical leaders who ...

In this chapter, ensemble- based techniques and deep learning (DL) techniques are used for lung and breast cancer prediction. Two datasets, Wisconsin and Coimbra, obtained from wellknown UCI ML ...

The AUC for the overall prediction results was 0.708 for fundus photography and 0.703 for FAF imaging (online supplemental figure 3). This is the first report using deep learning technology for fundus ...