IEEE

A Transformer Fault Diagnosis Method Based on Data Augmentation and IEVO-CNN

Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...
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 ...
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

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
IEEE

A CNN-Based Model for Yield Prediction in MEMS Resonator Manufacturing

Abstract: This work presents a novel method for predicting the yield of Micro-electromechanical Systems (MEMS) resonators by using Convolutional Neural Networks (CNNs) to extract morphological ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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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 ...