Simple vs. Stratified Random Sampling: Key Differences Explained

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.
IEEE

Hybrid simplex-genetic algorithm for global numerical optimization

Abstract: A hybrid simplex-genetic algorithm (HSGA) is presented to solve global numerical optimization problems. The HSGA combines the traditional genetic algorithm, which has a powerful global ...

Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
IEEE

An Efficient Method for Generating Adversarial Examples within Consumer Electronics

Abstract: Adversarial examples threaten the stability of Generative AI (GAI) in consumer electronics (CE), but existing attack strategies either rely solely on gradient information—yielding ...