Results 61 to 70 of about 133,461 (264)
Advanced Science, EarlyView.This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li +13 more
wiley +1 more source
Advanced Science, EarlyView.This work presents a CRISPR‐based, ultrasensitive multiplex protein detection array capable of simultaneously analyzing six plasma biomarkers associated with Alzheimer's disease (AD). By integrating antibody‐mediated signal transduction, recombinase polymerase amplification, and spatially encoded CRISPR‐Cas12a, the system achieves detection sensitivity
Liding Zhang +9 more
wiley +1 more source
Comparison of Selected Classification Methods in Automatic Speaker Identification
Communications, 2011 This paper presents performance comparison of three different classifiers applied in Automatic SpeakeR Identification: Gaussian Mixture Model (GMM), k Nearest Neighbor algorithm (kNN) and Support Vector Machines (SVM).
Martin Hric +2 more
doaj +1 more source
CoRR, 2018 We introduce Universum learning for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM). We also propose an analytic span bound for model selection with almost 2-4x faster computation times than standard resampling techniques. We empirically demonstrate the efficacy of the proposed MUSVM formulation on several real
Sauptik Dhar +2 more
openaire +2 more sources
Advanced Science, EarlyView.A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Advances in Electrical and Electronic Engineering, 2019 Z-source Neutral Point Clamped (NPC) inverter is a converter topology that combines the benefits of both the impedance network by storing temporary energy released to the load for voltage boosting and NPC inverter by guaranteeing lower Total Harmonic ...
Samir Noui +5 more
doaj +1 more source
Selecting Features with SVM [PDF]
, 2013 A common problem with feature selection is to establish how many features should be retained at least so that important information is not lost. We describe a method for choosing this number that makes use of Support Vector Machines. The method is based on controlling an angle by which the decision hyperplane is tilt due to feature selection ...
Jacek Rzeniewicz, Julian Szymanski
openaire +1 more source
Advanced Science, EarlyView.Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
European Journal of Remote Sensing, 2019 Urbanization in China has been rapid over the past three decades causing substantial replacement of the natural landscape by built-up land. In this paper, we present a comparison of Sentinel-2A MSI (S2A) and Landsat-8 OLI (L8) data in the retrieval of ...
Yantao XI, Nguyen Xuan Thinh, Cheng LI
doaj +1 more source
Advanced Science, EarlyView.Upon JEV infection, ZNF33B recruits METTL14 to stabilize the METTL3‐METTL14 m6A methyltransferase complex, leading to increased m6A modification of host transcripts, including Trim25 mRNA. ZNF33B selectively binds m6A‐modified sites on Trim25 mRNA and accelerates its decay, resulting in reduced TRIM25 protein abundance.
Jian Du +9 more
wiley +1 more source