The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
IEEE

Differential Via Modeling Using Multilayer Perceptron-Sequential (MLP-SEQ) Neural Network

Abstract: In this paper, an encoder-decoder structured multi-layer perceptron-sequential (MLP-SEQ) networks are proposed to model high-speed differential vias for estimating differential insertion ...
IEEE

Research on Friction Power Loss Prediction Method Based on Multilayer Perceptron Regression

Abstract: The friction power loss of specialized equipment is a crucial parameter that affects the equipment's temperature field and separation performance. It is also an essential parameter for ...
GitHub

SEAHOWL: Servo-Elasto-Aero-Hydro Offshore Wind Lab

For precompiled binaries (including Python bindings), check the Releases section of this project on GitHub to see if a zipped version is available for your OS. For the full installation and ...
GitHub

Supervised Learning: Regression & Classification

Predict appliance energy consumption (Wh) from indoor sensor readings and outdoor weather data. Estimate the number of occupants in a room (0–3 people) from multi-modal IoT sensor streams. Implements ...