The design automation community has been actively exploring machine learning (ML) for very-large-scale-integrated (VLSI) computer-aided design (CAD). Many studies have explored learning-based ...

This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor ...

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

The engineering landscape is shifting fast. Technologies keep evolving, and industries now want engineers who don’t just know ...

This paper presents a dynamic selector model for data workload prediction. A main function responsible for selecting the most accurate Machine Learning Algorithm (e.g., Linear Regression, Support ...

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...

Adsorbent injection is the most promising technology for solving anthropogenic mercury (mainly Hg0) emission from stationary sources. Carbon-based adsorbents have strong potential for Hg0 removal due ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...

The conversion of CO2 into methanol through hydrogenation represents a promising approach for the utilization of CO2 and sustainable chemical production. However, current industrial methods rely on ...