Results 121 to 130 of about 244,916 (294)
Advanced Science, EarlyView.Coexisting DCIS and IDC samples are profiled using spatial transcriptomics, single‐cell RNA sequencing, and single‐cell DNA sequencing. Integrative multi‐omics analysis reveals distinct malignant epithelial and microenvironmental features between DCIS and IDC, which are further validated using Xenium and multiplex immunohistochemistry.
Ning Zhang +18 more
wiley +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Advanced Electronic Materials, EarlyView.Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Quality Improvement of Information Retrieval System Results by Document Classification
International Journal of Information and Communication Technology Research, 2013 In traditional search engines, the most common way to show results for a query is to list documents in order of their computed relevance to the query. However, the ranking is independent of the topic of the document;so the results of different topics are
Mojgan Farhoodi +2 more
doaj
Effective Sentiment Analysis on Twitter with Apache Spark
International Journal of Industrial Engineering and Production Research, 2020 The Today’s interconnected world generates huge digital data, while millions of users share their opinions, feelings on various topics through popular applications such as social media, different micro blogging sites, and various review sites on every ...
K.V.K Sasikanth +4 more
doaj
SVM-based PQ disturbance recognition system
, 2017 The quality of power delivered by modern electricity grids is of interest as disturbances to power quality (PQ) have the potential to cause malfunction of control systems, interfere with communication networks, increase power losses and reduce the life ...
Michael Negnevitsky (14745250) +3 more
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Advanced Energy Materials, EarlyView.In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
SVM Classification in Multiclass Letter Recognition System [PDF]
, 2013 In this paper we have studied the concept of multiclass classification and support vector machine After scrutinizing the problem of multiclass classification we concluded the fact for how it is suited to describe the binary classification Also ...
Aarti Kaushik
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Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
An Efficient LS-SVM-Based Method for Fuzzy System Construction
, 2015 This paper proposes an efficient learning mechanism to build fuzzy rule-based systems through the construction of sparse least-squares support vector machines (LS-SVMs). In addition to the significantly reduced computational complexity in model training,
Wanqing Zhao (23879184) +2 more
core
Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data [PDF]
, 2008 We propose a privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns as well as individual data point rows are divided into groups belonging to different entities.
Mangasarian, Olvi, Wild, Edward
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