IEEE

LSTM based Deep Learning Model for PV Power Forecasting

Abstract: In order to reliably integrate solar energy into current power networks, accurate prediction of solar power generation is needed. Here, the system offers an LSTM-based deep learning model ...
GitHub

metedogan/stock-price-prediction

A deep learning project that uses Long Short-Term Memory (LSTM) neural networks to predict Apple (AAPL) stock prices. The project includes data collection, model training, evaluation, and a web-based ...
marktechpost

A Coding Implementation to Run Qwen3.5 Reasoning Models Distilled with Claude-Style Thinking Using GGUF and 4-Bit Quantization

In this tutorial, we work directly with Qwen3.5 models distilled with Claude-style reasoning and set up a Colab pipeline that lets us switch between a 27B GGUF variant and a lightweight 2B 4-bit ...
IEEE

Hybrid CNN-LSTM Model for DDoS Detection and Mitigation in Software-Defined Networks

Abstract: Software-Defined Networking (SDN) enhances programmability and control but remains highly vulnerable to distributed denial-of-service (DDoS) attacks. Existing solutions often adapt ...
marktechpost

A Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration

In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using Python. We begin by constructing crystal structures such as silicon, sodium chloride, ...
CNX Software

PycoClaw – A MicroPython-based OpenClaw implementation for ESP32 and other microcontrollers

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw workspace-compatible intelligence to resource-constrained embedded devices. We ...