Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

The technology detects unique volatile organic compounds each mold species emits, creating distinct “odor signatures” the sensors can recognize 30-minute detection: The device analyzes air samples in ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

Abstract: This work presents a novel approach to enhancing the accuracy and efficacy of DNA sequence categorization through the use of Machine Learning algorithms. The proposed DNA Sequencing ...

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...