From the 1 of 16 linked papers with an AI index.
1 citations · 1 across the 6 of their papers we have counts for
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Modeling Closed-loop Analog Matrix Computing Circuits with Interconnect Resistance
Mu Zhou, Junbin Long, Yubiao Luo +1
Analog matrix computing (AMC) circuits based on resistive random-access memory (RRAM) have shown strong potential for accelerating matrix operations. However, as matrix size grows,…
UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation
S. Zhao, W. Lu, B. Wang +3
Ultra-high-definition (UHD) images often suffer from severe degradations such as blur, haze, rain, or low-light conditions, which pose significant challenges for image restoration…
Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
Anna Hinterberger, Jonas Bohn, Dasha Trofimova +13
Non-invasive colorectal cancer (CRC) screening represents a key opportunity to improve colonoscopy participation rates and reduce CRC mortality. This study explores the potential o…
Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures
Mufakir Qamar Ansari, Mudabir Qamar Ansari
The paradigm shift towards multi-core and heterogeneous computing, driven by the fundamental power and thermal limits of single-core processors, has established energy efficiency a…
Analysis of points outcome in ATP Grand Slam Tennis using big data and machine learning
Martin Illum, Hans Christian Bechsøfft Mikkelsen, Emil Hovad
Tennis is one of the world's biggest and most popular sports. Multiple researchers have, with limited success, modeled the outcome of matches using probability modelling or machine…
The Local Subtraction Approach For EEG and MEG Forward Modeling
Malte B. Höltershinken, Pia Lange, Tim Erdbrügger +7
EDIT: A revised version of this article has been published in the SIAM Journal on Scientific Computing, see https://epubs.siam.org/doi/full/10.1137/23M1582874. In the revised versi…