prediction

Multi-scale Geometry Transformer Enables Accurate Drag/Lift Prediction In CAE Simulations

admin January 5, 2026 0

The challenge of accurately simulating complex physical phenomena, such as airflow around vehicles, demands increasingly sophisticated computational methods. Corey Adams,...

Enhancing groundwater level prediction with a hybrid deep learning model in Jinan City, China

admin December 25, 2025 0

The complete workflow of the methodology in this study was divided into three critical stages: data preprocessing, model construction, and...

Helixer: ab initio prediction of primary eukaryotic gene models combining deep learning and a hidden Markov model

admin December 3, 2025 0

Overview of HelixerHelixer is a deep learning-based framework for eukaryotic gene annotation directly from genomic DNA. It uses a sequence...

Prediction of stillbirth using machine learning methods

admin October 24, 2025 0

Data sourceData were extracted from a perinatal database for women who delivered between January 2009 and December 2020 at seven...

Enhanced multi objective graph learning approach for optimizing traffic speed prediction on spatial and temporal features

admin October 7, 2025 0

Experimental setupThe system specifications for this experiment include a hardware configuration of Intel Core i7-9700 K or AMD Ryzen 9 5900X...

A Two-Phase Learning Approach Integrated with Multi-Source Features for Cloud Service QoS Prediction

admin September 30, 2025 0

Newswise — With the growing popularity of service-oriented computing, a large number of functionally similar cloud services have emerged. Quality...

prediction

Multi-scale Geometry Transformer Enables Accurate Drag/Lift Prediction In CAE Simulations

Enhancing groundwater level prediction with a hybrid deep learning model in Jinan City, China

Helixer: ab initio prediction of primary eukaryotic gene models combining deep learning and a hidden Markov model

Prediction of stillbirth using machine learning methods

Enhanced multi objective graph learning approach for optimizing traffic speed prediction on spatial and temporal features

Heisenberg-limited Hamiltonian Learning Achieves Optimal Scaling With Static Single-Qubit Fields

eLearning Statistics By Apps, Usage and Facts (2026)

Learning beyond borders: How Japan Study Abroad trip reshaped two Guelph-Humber students’ understanding of women entrepreneurs and culture

Decentralized Federated Learning Enables Privacy-Preserving Computer Vision On Edge Devices

Adding Tech to Ed | Education

You may have missed