Results 71 to 80 of about 6,064 (288)

Analyzing Sequential Pattern Mining to Detect Calcium Peaks in Cardiomyocytes Data [PDF]

open access: yes, 2023
This study examines sequential pattern mining and its applications in various fields. The previous research was conducted by examining signal data, from which calcium peaks were automatically detected and classified.
Torkkeli, Juho
core  

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Non-redundant sequential association rule mining based on closed sequential patterns

open access: yes, 2010
In many applications, e.g., bioinformatics, web access traces, system utilisation logs, etc., the data is naturally in the form of sequences. People have taken great interest in analysing the sequential data and finding the inherent characteristics or ...
Zang, Hao
core  

Localized Temperature Monitoring in Mouse Brain during Light Delivery via a Non‐Planar Tapered Fiber‐Integrated µRTD Sensor

open access: yesAdvanced Materials, EarlyView.
We report a multifunctional tapered optical fiber integrating a conformal micro‐resistance temperature detector (µRTD) for local, real‐time thermometry during optical stimulation. The platform combines light‐delivery and temperature sensing within a minimally invasive footprint, enabling detection of sub‐degree cortical heating under representative ...
Antonio Balena   +6 more
wiley   +1 more source

A Unified Polymer Hydrogel Electrolyte Integrating Robust Adhesion, Self‐Healing, and Oxygen Permeability in Flexible Neutral Zn‐Air Batteries

open access: yesAdvanced Materials, EarlyView.
Flexible neutral Zn‐air batteries achieving a remarkable 3000‐cycle lifespan and withstanding 1000 bending cycles are reported. This performance is realized by employing a 3D physically cross‐linked neutral hydrogel electrolyte that integrates high adhesion, self‐healing, O2 permeability, and CO2 tolerance to resolve critical stability challenges ...
Zhenyu Sun   +3 more
wiley   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

open access: yesAdvanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo   +5 more
wiley   +1 more source

Direct Gravity‐Induced Modulation of Cardiac Conduction Pathways Evidenced Through Propagation Features in Electrophysiological Mapping

open access: yesAdvanced Materials Technologies, EarlyView.
A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano   +4 more
wiley   +1 more source

Evaluating associative classification algorithms for Big Data

open access: yesBig Data Analytics, 2019
Background Associative Classification, a combination of two important and different fields (classification and association rule mining), aims at building accurate and interpretable classifiers by means of association rules.
Francisco Padillo   +2 more
doaj   +1 more source

Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining [PDF]

open access: yes
An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms.
Alexandru PIRJAN
core  

Inducing decision trees with an ant colony optimization algorithm [PDF]

open access: yes, 2012
Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B.   +2 more
core   +1 more source

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