IEEE

An Extensive Analysis of CNN-Based Models for Nutritional Deficiency Identification in Plants

Abstract: The identification of nutritional deficiencies in plants is critical for ensuring optimal agricultural yield and sustainability. Recent advances in Deep Learning (DL) have revolutionized the ...
IEEE

Deploying Deep Learning for Real-Time Tsunami Monitoring: A CNN-LSTM Model for Sensor-Based Prediction

Abstract: Early detection of tsunamis is essential for disaster risk reduction and minimizing loss of life. This research introduces an advanced deep learning-based tsunami detection model that ...
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

Pendulum simulation and visualization in Python physics

Pendulum simulation and visualization in Python physics. This video demonstrates how to model pendulum motion numerically and visualize the results to better understand oscillations, forces, and ...
IEEE

Hand Gestures Translation System for Sign Language using CNN Models

Abstract: Sign Language serves as an essential and dynamic medium of communication for individuals who are deaf or hard of hearing, offering a sophisticated system of gestures, body language, and ...
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

CNN Models for Analysis and Detection Ischemic Stroke Based on MRI Image

Abstract: Stroke is first in Indonesia and among the top two causes of mortality worldwide. Stroke consists of 2 types, where ischemic stroke is the most common with an incidence rate of $\mathbf{8 7 ...
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

A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection

Abstract: Landslides inflict substantial societal and economic damage, underscoring their global significance as recurrent and destructive natural disasters. Recent landslides in northern parts of ...
IEEE

A Comparative Analysis of CNN and LSTM Models for Transformer Fault Diagnosis using Dissolved Gas Analysis

Abstract: The diagnosis of transformer faults through the Dissolved Gas Analysis (DGA) technique has been critical to the safe and reliable use of power systems. In the current research, the ...