Results 271 to 280 of about 418,049 (343)

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Explainable artificial intelligence for botnet detection in internet of things. [PDF]

Sci Rep
Saied M, Guirguis S.
europepmc   +1 more source

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

Advanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo, Francesca Borghi, Tommaso Angì, Marta Maschietto, Stefano Vassanelli, Paolo Milani   +5 more
wiley   +1 more source

Optimizing Spectral Utilization in Healthcare Internet of Things. [PDF]

Sensors (Basel)
Iqbal A, Nauman A, Qadri YA, Kim SW.
europepmc   +1 more source

A Fuzzy Risk Assessment Approach Based on Z‐Numbers for Enhancing Safety and Human‐Robot Collaboration in Automotive Sector

Advanced Intelligent Systems, EarlyView.
A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley   +1 more source

Enhancing cyberthreat defense mechanisms using ensemble of representation learning with binary Ebola optimization search in internet of things environment. [PDF]

Sci Rep
Alanazi MH, Alkhateeb JH, Alamro H, Asiri MM, Alahmari S, Alqazzaz A, Alshuhail A, Alkhiri H.   +7 more
europepmc   +1 more source

DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications

Advanced Intelligent Systems, EarlyView.
a) Inflammation and oral polymorphonuclear neutrophil (oPMN) Migration: Dental plaque accumulation leads to inflammation, prompting white blood cells (WBCs), particularly oPMNs, to migrate from blood vessels through the gingival epithelium into the oral cavity.
Fatemeh Soheili, Negin Masoudifar, Shahin Ebrahimi, Navid Mohaghegh, Mahdi S. M. H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh   +9 more
wiley   +1 more source

Machine learning for Internet of Things (IoT) device identification: a comparative study. [PDF]

PeerJ Comput Sci
Tahaei H, Liu A, Forooghikian H, Gheisari M, Zaki F, Anuar NB, Fang Z, Huang L.   +7 more
europepmc   +1 more source

Optoelectronic Neuromorphic System Based on Amorphous Indium–Gallium–Zinc–Oxide Thin‐Film Transistor for Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
An amorphous indium–gallium–zinc–oxide (IGZO)‐based optoelectronic neuromorphic system integrating light guides is introduced. The IGZO‐based optoelectronic synaptic transistor demonstrates high retention through a negative gate bias and emulates synaptic plasticity.
Yumin Yun, Junhyeong Park, Minsik Kong, Ji‐Ho Lee, Sunyeol Bae, Chanjin Park, Soo‐Yeon Lee   +6 more
wiley   +1 more source