New Enerdatics report maps how grid constraints, power deliverability, and procurement strategy are reshaping U.S. data ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably ...

Purpose: We developed a machine learning framework to predict the presence of tertiary lymphoid structures (TLSs) within tumors in patients with hepatocellular carcinoma (HCC). This framework uses ...

Learn data structures the smart way! Here are 5+1 practical tips to help you understand and master core concepts faster — perfect for students, developers, or anyone prepping for coding interviews.

Abstract: Structural health monitoring using ultrasonic guided waves has been widely applied to carbon fiber reinforced plastics (CFRP) for data-driven damage detection. However, acquiring monitoring ...

Structure content for AI search so it’s easy for LLMs to cite. Use clarity, formatting, and hierarchy to improve your visibility in AI results. In the SEO world, when we talk about how to structure ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...