Results 51 to 60 of about 2,468,871 (217)

Discretization of Continuous Properties Based on Discernibility Matrix in Data Mining [PDF]

open access: yes, 2007
连续属性的离散化在数据挖掘中有着非常重要的作用。本文基于可辨识矩阵提出一种连续属性离散化的方法,并利用平均互信息量对离散化结果进行修正。该方法通过统计模拟取得了良好的效果。The discretization of continuous properties is very important in data mining.The paper puts forward a method of discretization of continuous properties based on ...
曾五一, 刘云霞
core  

On soft partition attribute selection [PDF]

open access: yes, 2012
Rough set theory provides a methodology for data analysis based on the approximation of information systems. It is revolves around the notion of discernibility i.e. the ability to distinguish between objects based on their attributes value.
Mustafa, Mat Deris   +3 more
core   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

open access: yesAdvanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung   +4 more
wiley   +1 more source

An Application of Discernibility Functions to Generating Minimal Rules in Non-Deterministic Information Systems [PDF]

open access: yes
Minimal rule generation in Non-deterministic Information Systems (NISs), which follows rough sets based rule generation in Deterministic Information Systems (DISs), is presented.
6421   +7 more
core   +2 more sources

On Fuzzy Soft Matrix Based on Reference Function [PDF]

open access: yes, 2013
In this paper we study fuzzy soft matrix based on reference function. Firstly, we define some new operations such as fuzzy soft complement matrix and trace of fuzzy soft matrix based on reference function. Then, we introduced some related properties, and
Dhar, Mamoni   +2 more
core   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

MZF1 Inhibits TGFβ‐1/SMAD Signaling by Transcriptionally Activating SnoN to Augment Tumorigenic Potential in Colon Cancer

open access: yesAdvanced Science, EarlyView.
This study identifies MZF1 as a core regulator of colon cancer via SnoN‐mediated TGF‐β suppression, proposes 10Panx Acetate as a targeted inhibitor, and validates MZF1/SnoN as prognostic markers for aggressive disease. ABSTRACT Colon cancer progression is associated with transcriptional and signaling abnormalities.
Siqi Sheng   +9 more
wiley   +1 more source

From Magnetic Fibers to Paper Architectures: A Lightweight Strategy for Robust Low‐Frequency Microwave Absorption

open access: yesAdvanced Science, EarlyView.
A scalable process converts para‐aramid fibers into soft‐magnetic building blocks via micrometer‐thick Fe0.64Ni0.36 (Invar‐type) coatings. Assembled into paper, they form a hierarchical conductive network whose tunable permeability enables thin, lightweight microwave absorption in the low‐frequency (S‐band) regime.
You Wu   +7 more
wiley   +1 more source

Design Rules for Quantitative Control of Intragrain Planar Defects in Halide Perovskites

open access: yesAdvanced Science, EarlyView.
Dose‐budgeted electron microscopy reveals the design rules governing intragrain planar defects in halide perovskites: {112}t ferroelastic twins proliferate with increasing tetragonality and grain size, whereas {111}c twins and stacking faults emerge as the lattice approaches cubic symmetry.
Byeongjun Gil   +3 more
wiley   +1 more source

Efficient attribute reduction based on discernibility matrix

open access: yes, 2007
To reduce the time complexity of attribute reduction algorithm based on discernibility matrix, a simplified decision table is first introduced, and an algorithm with time complexity O(| C ∥ U |) is designed for calculating the simplified decision table ...
Song, W   +4 more
core  

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