Results 71 to 80 of about 17,231 (264)

Fuzzy Constraints Linear Discriminant Analysis

open access: yes, 2016
In this paper we introduce a fuzzy constraint linear discriminant analysis (FC-LDA). The FC-LDA tries to minimize misclassification error based on modified perceptron criterion that benefits handling the uncertainty near the decision boundary by means of a fuzzy linear programming approach with fuzzy resources. The method proposed has low computational
Hassanzadeh, Hamid Reza   +2 more
openaire   +2 more sources

Gravity‐Tolerant In‐Flight 3D Bioprinting Enabled by Stereolithography for Space Tissue Engineering

open access: yesAdvanced Science, EarlyView.
A flight‐compliant, closed stereolithographic 3D bioprinting system enables robust fabrication of acellular and cell‐laden hydrogel constructs under varying gravitational conditions, including microgravity and hypergravity phases. Printed structures retain dimensional fidelity and high‐resolution features, while cell viability remains high ...
Bianca Lemke   +8 more
wiley   +1 more source

Fuzzy Adaptive Fixed-Time Bipartite Consensus Self-Triggered Control for Multi-QUAVs with Deferred Full-State Constraints

open access: yesDrones
This paper investigates the interval type-2 (IT2) fuzzy adaptive fixed-time bipartite consensus self-triggered control for multiple quadrotor unmanned aerial vehicles with deferred full-state constraints and input saturation under cooperative ...
Chenglin Wu   +3 more
doaj   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

open access: yesAdvanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu   +5 more
wiley   +1 more source

Solving the General Fuzzy Random Bilevel Programming Problem Through $Me$ Measure-Based Approach

open access: yesIEEE Access, 2018
This paper addresses the general fuzzy random bilevel programming problem in which not only both objective functions, but also the constraints contain fuzzy random variable coefficients.
Aihong Ren
doaj   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

open access: yesAdvanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su   +7 more
wiley   +1 more source

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song   +9 more
wiley   +1 more source

Weighted constraints in fuzzy optimization [PDF]

open access: yes, 2001
Many practical optimization problems are characterized by some flexibility in the problem constraints, where this flexibility can be exploited for additional trade-off between improving the objective function and satisfying the constraints. Especially in decision making, this type of flexibility could lead to workable solutions, where the goals and the
Kaymak, U, Sousa, JM
  +5 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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