TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Scientific Research Publishing

Ihsan, U., & Mehmet, B. (2023). Daily Air Temperature Forecasting Using LSTM-CNN and GRU-CNN Models. Acta Geophysica, 72, 2107-2126.

ABSTRACT: Under the context of global climate change, the frequent occurrence of strong winds in Guyuan has significantly hindered the development of local facility agriculture. Using hourly ...
C&EN

Research on Remaining Useful Life Prediction of PEMWE Stack Based on the LSTM-iTransformer Model

In the context of global energy shortages, traditional energy sources face issues of limited reserves and high prices. As a result, the importance of energy storage technology is increasingly ...
Frontiers

Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province

Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...
GitHub

Roei-Bracha/llm-hw-lstm

This project implements an LSTM that learns to isolate individual frequency components from a mixed signal through one-hot conditioning.
Geeky Gadgets

How to Build Intelligent AI Agents in Python That Think and Adapt

Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...
GitHub

LSTM models recognize random characters instead of asterisk (*)

When using Tesseract OCR to extract text from an image containing asterisks (*), the output does not preserve the asterisk character. Instead, it is replaced with seemingly random characters or ...
IEEE

Development of a Long Short-Term Memory (LSTM)-Based Statistical Model for Earthquake Forecasting in Central Asia

Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
VentureBeat

Qwen3-Next debuts with impressively efficient performance on just 3B active parameters

When it comes to Chinese AI startups, Alibaba’s Qwen team of AI researchers is still going strong with its release of powerful, cutting-edge open source large language models (LLM) available to ...
Frontiers

PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021)

Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...