Results 81 to 90 of about 368,237 (276)
Two Challenges of Correct Validation in Pattern Recognition
Frontiers in Robotics and AI, 2014 Supervised pattern recognition is the process of mapping patterns to class labelsthat define their meaning. The core methods for pattern recognitionhave been developed by machine learning experts but due to their broadsuccess an increasing number of non ...
Thomas eNowotny
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Chemometrics and Intelligent Laboratory SystemsOverfitting remains a central challenge in modern data science, particularly as complex analytical tools become more accessible and widely applied in fields like chemometrics. This communication outlines a series of common pitfalls that lead to misleading and non-generalizable models-ranging from poor data quality and insufficient sample sizes to ...
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The Implicit Bias of Benign Overfitting
CoRR, 2022 The phenomenon of benign overfitting, where a predictor perfectly fits noisy training data while attaining near-optimal expected loss, has received much attention in recent years, but still remains not fully understood beyond well-specified linear regression setups.
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Advanced Functional Materials, EarlyView.ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
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Advanced Healthcare Materials, EarlyView.A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph +11 more
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USING DATA MINING TECHNIQUES IN CATALYTIC CRACKING PROCESS MODELING – A COMPARATIVE STUDY [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2017 Despite notable successes achieved in trying to obtain viable alternatives to the use of oil as a source of energy and raw materials, oil industry remains one of the main pillars of sustainable development of modern society . Continued modernization of
MARINOIU CRISTIAN
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AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
Advanced Materials, EarlyView.This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
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Estimation of Stochastic Attribute-Value Grammars using an Informative Sample
, 2000 We argue that some of the computational complexity associated with estimation of stochastic attribute-value grammars can be reduced by training upon an informative subset of the full training set.
Osborne, Miles
core
Advanced Materials Technologies, EarlyView.This study presents a new biodegradable coating for titanium implants using a natural antimicrobial peptide, caerin 1.9. Applied via solvent casting, the coating offers sustained antibacterial protection and promotes healing. Tested on 3D‐printed porous titanium scaffolds, it effectively prevented infection—including against resistant bacteria—while ...
Hejie Li +7 more
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Implications of Pooling Strategies in Convolutional Neural Networks: A Deep Insight
Foundations of Computing and Decision Sciences, 2019 Convolutional neural networks (CNN) is a contemporary technique for computer vision applications, where pooling implies as an integral part of the deep CNN.
Sharma Shallu, Mehra Rajesh
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