Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
CBSSports.com

Cowboys vs. Eagles props, odds, SportsLine Machine Learning Model AI predictions, NFL Kickoff Game SGP picks

The 2025 NFL season kicks off tonight with a key NFC East matchup between the Dallas Cowboys and the defending Super Bowl champion Philadelphia Eagles (-8, 47.5). Since 2010, Dallas and Philadelphia ...
Ars Technica

Starship’s heat shield appears to have performed quite well in test

One of the more curious aspects of the 10th flight of SpaceX's Starship rocket on Tuesday was the striking orange discoloration of the second stage. This could be observed on video taken from a buoy ...
Phys.org

Simpler models can outperform deep learning at climate prediction

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...
GitHub

Use the MATLAB deep learning designer to modify the model structure

We are currently training with the following code: yolov8Det = trainYOLOv8ObjectDetector('data.yaml', 'yolov8n.pt', ImageSize=[720 720 3], MaxEpochs=10); The structure of yolov8n.pt that we are using ...
Flightglobal

Japan’s ANA adopts deep-learning turbulence prediction system after successful trials

Japanese carrier All Nippon Airways has implemented a turbulence-prediction service based on artificial intelligence, following several years of testing and validation. ANA and Keio University formed ...
IEEE

Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...
IEEE

Personalized Learning Through MBTI Prediction: A Deep Learning Approach Integrated With Learner Profile Ontology

Abstract: Personalized e-learning systems have transformed the delivery of educational content, aligning it more closely with individual learners’ needs. Among the various approaches to achieving this ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...