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Cancer is one of the most life-threatening diseases worldwide, and head and neck (H&N) cancer is a prevalent type with hundreds of thousands of new cases recorded each year. Clinicians use medical imaging modalities such as computed tomography and positron emission tomography to detect the presence of a tumor, and...

Recently, carbon price forecasting has become critical for financial markets and environmental protection. Due to their dynamic, nonlinear, and high noise characteristics, predicting carbon prices is difficult. Machine learning forecasting often uses stacked ensemble algorithms. As a result, common stacking has many limitations when applied to time series data, as...

In this review, the authors conducted benchmarks for three thermodynamic models to analyze PSA-based medical oxygen concentrator (MOC) systems to allow for optimization and operational flexibility. PSA oxygen generator plants are good medical-grade oxygen sources, a crucial tool in healthcare from the primary to the tertiary level. However, they must...

Working in customer support often means navigating disjointed tools to find data and solve issues. However, many of these actions are routine and repeatable, making them ideal candidates for automation. 8Flow.ai, which is launching out of stealth today and announcing a $6.6 million seed funding round, wants to do exactly...

Many organizations wonder what sustainability metrics will be both practical for success and compliant with new proposed regulations. Read the full article "Trusted Data And Transparency In Sustainability Reporting" on Facility Executive Magazine....

Nanoscale, 2023, Accepted ManuscriptDOI: 10.1039/D3NR02130K, PaperXinyi Li, Shiru Lin, Tingyu Yan, Zhongxu Wang, Qinghai Cai, Jing-Xiang ZhaoSearching for bifunctional oxygen electrocatalysts with good catalytic performance to promote the oxygen evolution/reduction reactions (OER/ORR) is of great significance to the development of sustainable and renewable clean energy. Herein,...The content of this RSS...

End-to-end machine learning platform Predibase today announced a $12.2 million expansion to its $16.25 million Series A funding round from last year. The company also announced that its low-code, declarative ML platform for developers is now generally available. During the beta period, which launched when the company came out of...

Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own. Someone learning to......

Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions....

Due to subjectivity in refereeing, the results of race walking are often questioned. To overcome this limitation, artificial-intelligence-based technologies have demonstrated their potential. The paper aims at presenting WARNING, an inertial-based wearable sensor integrated with a support vector machine algorithm to automatically identify race-walking faults. Two WARNING sensors were used...

In the present scenario, Alzheimer’s Disease (AD) is one of the incurable neuro-degenerative disorders, which accounts for nearly 60% to 70% of dementia cases. Currently, several machine-learning approaches and neuroimaging modalities are utilized for diagnosing AD. Among the available neuroimaging modalities, functional Magnetic Resonance Imaging (fMRI) is extensively utilized for...

A robot dog 'Barkour' course may provide a new industry standard for four-legged machines. Deposit PhotosResearchers hope the 'Barkour' challenge can become an industry benchmark. The post Google engineers used real dogs to develop an agility course for robots appeared first on Popular Science....