IEEE

A Hybrid CNN-LSTM Model With Attention Mechanism for Improved Intrusion Detection in Wireless IoT Sensor Networks

Abstract: Wireless Internet of Things (IoT) Sensor Networks (WIoTSNs) are frequently deployed in resource-constrained environments where security threats pose significant challenges. Existing ...
Frontiers

A comparative study of time series foundation models for hand, foot, and mouth disease forecasting: TimesFM, Moirai, and traditional approaches

1 Chongqing Key Laboratory of Childhood Nutrition and Health, Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and ...
Fudzilla

AMD gets PyTorch working on Windows

AMD has delivered on its Computex 2025 promise to make PyTorch work on Windows for consumer GPUs and APUs. With the release of ROCm 6.4.4, Radeon RX 9000 (RDNA 4), RX 7000 (RDNA 3), and the new Ryzen ...
Forbes

This Team Is Rethinking AI’s Core: Perforated AI Bets On Dendrites

For more than eighty years, deep learning has relied on a simplified model of brain function. The 1943 McCulloch-Pitts model of the neuron fueled breakthroughs in image recognition, speech synthesis ...
Hosted on MSN

Master Emoji Prediction with LSTM in TensorFlow Complete Walkthrough

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
IEEE

Deep Transfer Learning Based on Hybrid Swin Transformers With LSTM for Intrusion Detection Systems in IoT Environment

Abstract: Extensive growth in the number of Internet Of Things (IoT) devices has significantly increased susceptibility to various cyber-attacks and hence emphasized the need for robust intrusion ...
Frontiers

Developing an explainable deep learning module based on the LSTM framework for flood prediction

Long short-term memory (LSTM) networks have become indispensable tools in hydrological modeling due to their ability to capture long-term dependencies, handle non-linear relationships, and integrate ...
marktechpost

Hugging Face Releases nanoVLM: A Pure PyTorch Library to Train a Vision-Language Model from Scratch in 750 Lines of Code

In a notable step toward democratizing vision-language model development, Hugging Face has released nanoVLM, a compact and educational PyTorch-based framework that allows researchers and developers to ...
Scientific Research Publishing

Precipitation Nowcasting in Dar es Salaam: Comparative Analysis of LSTM and Bidirectional LSTM for Enhancing Early Warning Systems ()

1 Department of Meteorology, School of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing, China. 2 Tanzania Meteorological Authority, Dodoma, Tanzania. 3 School of ...
GitHub

How Do Frameworks Like PyTorch and TensorFlow Handle Unrolled LSTM Layers from ONNX

I'm trying to understand how frameworks such as PyTorch and TensorFlow load layers that are stored in an unrolled state in ONNX. If such an engine exists, does PyTorch then replace the unrolled ...