IIT-Mandi develops AI framework to speed up molecular analysis, biomedical diagnostics

BioFASTNet enables automated interpretation of raw FTIR spectra without extensive preprocessing, reducing reliance on expert ...
IEEE

Utilizing Deep improved ResNet50 for Brain Tumor Classification Based MRI

Abstract: A robust approach for brain tumor classification is being developed using deep convolutional neural networks (CNNs). This study leverages an open-source dataset derived from the MRI ...
GitHub

unitreerobotics/unifolm-world-model-action

conda create -n unifolm-wma python==3.10.18 conda activate unifolm-wma conda install pinocchio=3.2.0 -c conda-forge -y conda install ffmpeg=7.1.1 -c conda-forge git ...
GitHub

About Dataset preprocessing #7

I noticed a file named "filtered_feature_bc_matrix.h5" in the DLFPC dataset you provided, which appears to be a preprocessed file. However, public datasets used in other studies (downloaded from ...
Semiconductor Engineering

Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)

A new technical paper titled “VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by researchers at the University of Florida.
The New York Times

‘Set-Jetting’ Turns Fiction Into Real, Often Expensive, Vacations

The phenomenon, in which travelers choose vacation destinations based on beloved, sometimes dark, TV series and films, has become one of the biggest trends in travel. By Danial Adkison This article is ...
Scientific Research Publishing

Hybrid 1DCNN-Attention with Enhanced Data Preprocessing for Loan Approval Prediction ()

In order to reduce the risk of non-performing loans, losses, and improve the loan approval efficiency, it is necessary to establish an intelligent loan risk and approval prediction system. A hybrid ...
IEEE

Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification

Abstract: Feature selection in a traditional binary classification algorithm is always used in the stage of dataset preprocessing, which makes the obtained features not necessarily the best ones for ...