IEEE

Short-term prediction of wind turbine power based on improved CNN-LSTM hybrid model

Abstract: Precise short-term prediction of wind turbine power is crucial for optimizing power dispatching, enhancing power grid reliability, and improving wind power consumption capabilities. This ...
Dot Physics on MSN

How to model a pendulum in Python using Jupyter notebooks

How to model a pendulum in Python using Jupyter Notebooks. This video walks through the physics of pendulum motion and shows how to simulate it step by step with clean Python code and clear ...
IEEE

BR-Mix3DNet: Predicting Breast Neoadjuvant Chemotherapy Response With a Hybrid MLP-Mixer and 3D CNN Model

Abstract: Neoadjuvant chemotherapy (NAC) is the standard treatment for locally advanced and inflammatory breast cancer, as well as early-stage triple-negative breast cancer (TNBC) and human epidermal ...
Opinion
Dot Physics on MSNOpinion

How to model a string with mass using Python

In this video, we show how to model a string with mass using Python, breaking down the physics, equations, and numerical approach step by step. Learn how to represent distributed mass, apply forces, ...
IEEE

Pao-Ding: Accelerating Cross-Edge Video Analytics via Automated CNN Model Partitioning

Abstract: Cross-edge video analytics is a technology that involves collaborative processing of video data among multiple edge devices. To handle increasingly complex video analytics tasks on edge ...
GitHub

Mist-kail/PolyMarket-trading-AI-model

Polymarket Agents is a modern, open-source framework for building sophisticated AI trading agents on Polymarket. Leverage state-of-the-art LLMs, RAG (Retrieval-Augmented Generation), and ...
IEEE

An Ensemble Deep Learning Model Using CNN, LSTM and Autoencoder for EEG-Based Parkinson’s Disease Classification

Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

There was an error while loading. Please reload this page.
IEEE

MonoICT: A Monocular 3-D Object Detection Model Integrating CNN and Transformer

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
IEEE

Rainfall Prediction over India using a hybrid CNN-LSTM model

Abstract: In agricultural planning and water management, accurate rainfall forecasting is critical, especially for a country like India. The current study explores the application of a hybrid deep ...
IEEE

A Hybrid CNN-ViT and GAN (HCVGAN) Model for Cocoa Leaf Disease Prediction

Abstract: Plant diseases pose a significant risk to farmers and impact crop yield and food safety. Early detection is crucial. In the proposed method, Vision Transformers (ViTs) and Convolutional ...