IEEE

IoT Cyberattack Detection via Fog Computing and Multilayer Perceptron Neural Networks

Abstract: This paper presents a novel methodology designed for detecting cyberattacks in Internet of Things (IoT) fog computing scenarios through the application of a Multilayer Perceptron (MLP) ...
GitHub

BC Code Intelligence MCP Server

Get instant help from AI Business Central experts right in your favorite AI tool. No more searching docs - just ask and get expert guidance tailored to your specific BC development challenges. If ...
IEEE

Bilinear Mixing Model-Based Spectral Decomposition Deep Neural Network for Hyperspectral Target Detection

Abstract: Hyperspectral image (HSI) target detection is an advanced technology within the remote sensing society, widely applied in both civilian and military domains. However, subpixel target ...
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 ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

Inputs: describes all the raw inputs to run the code Code description: describes the python code and how to run it Code to figure mapping: provides mapping of figures in the paper to code used to ...