IEEE

Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3

Abstract: This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. Current ...
Microsoft

RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation

When this paper was published in 2014, a large amount of research was focusing on specialization as a means to deliver energy efficiency. In this piece of work, we were searching for an alternative ...
GitHub

AgentRun: Run AI Generated Code Safely

AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...
GitHub

Python code made to run on a Numworks calculator

julia.py This code displays the Julia set. It uses the kandinsky module. mandelbrot_nap0.py There is a official Numworks Mandelbrot script. This is a different version made from scratch. Uses the ...
IEEE

Kolmogorov-Arnold Networks-Based Calibration for Single-Channel ADCs: High-Precision Nonlinear Code Synthesis With Low Power Consumption

Abstract: This paper presents a novel calibration scheme for single-channel SAR, pipelined and pipelined-SAR ADCs using Kolmogorov-Arnold networks (KANs). In the proposed scheme, a multi-sample KAN ...