New Study Reveals Powerful New Method Can Distinguish Schizophrenia from Healthy Using Brain SPECT Imaging

Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...

From village schools to global science: 2 Jagatsinghpur sons bring laurels to Odisha

JAGATSINGHPUR: Two sons of Jagatsinghpur district who began their academic journeys in government primary schools have brought national and international acclai ...
IEEE

Breast Cancer Detection Using Deep Learning: An Investigation Using the DDSM Dataset and a Customized AlexNet and Support Vector Machine

Abstract: The most lethal and devastating form of cancer, breast cancer, is often first detected when a lump appears in the breast. The cause can be attributed to a typical proliferation of cells in ...
TMCnet

Blockchain's First Fully Post-Quantum Transaction Just Settled on Mainnet. Here Is the Hash.

For a technical audience, the phrase that matters is "full stack." Post-quantum signatures have appeared on other networks. What has not shipped before, to the team's knowledge, is a live mainnet ...
IEEE

Granular Ball Twin Support Vector Machine

Abstract: Twin support vector machine (TSVM) is an emerging machine learning model with versatile applicability in classification and regression endeavors. Nevertheless, TSVM confronts noteworthy ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
Communications of the ACM

Can We Understand How Large Language Models Reason?

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
GitHub

Semiconductor Manufacturing Pass/Fail Prediction using Machine Learning

This project develops a Machine Learning-based classification system to predict whether a semiconductor manufacturing process results in a Pass or Fail outcome. The project focuses on data ...