FinanceFeeds

Multi-Level Marketing Crypto Schemes: Warning Signs Investors Should Know

Research from Nadcab Labs’ 2026 analysis exposes fraud patterns in multi-level marketing crypto schemes, including Ponzi structures ...
So Yummy! on MSN

Popular cake mixes now classified under FDA’s most serious recall

Popular Cake Mixes Now Classified Under FDA’s Most Serious Recall ...
TMCnet

Ultra I&C leads live, all-digital kill chain demonstration with U.S. Marine Corps

SAN DIEGO, Feb. 18, 2026 /PRNewswire/ -- Ultra I&C led a live, multi-company demonstration showcasing a fully digital sensor-to-effector kill chain, from threat detection to classification to ...
TMCnet

WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") ...

MHSAA selects two Holland-area multi-sport athletes for Scholar-Athlete Award

The Michigan High School Athletic Association has selected 13 student-athletes from Class A member schools to receive ...

Amplio Details AI-Enabled Approach for Surplus Inventory and Asset Recovery in Industrial Enterprises

Company outlines data-driven appraisal, internal redeployment matching, and marketplace liquidation workflows designed ...
News-Medical.Net

CNN-based system improves lung nodule detection and classification

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
IEEE

Hybrid 3B Net and EfficientNetB2 Model for Multi-Class Brain Tumor Classification

Abstract: Brain tumor classification and diagnosis are critical for timely and effective treatment, as brain tumors can severely impact patient health and survival. This paper introduces an enhanced ...
IEEE

LM-CLIP: Adapting Positive Asymmetric Loss for Long-Tailed Multi-Label Classification

Abstract: Accurate multi-label image classification is essential for real-world applications, especially in scenarios with long-tailed class distributions, where some classes appear frequently while ...