Zeolitic imidazolate framework-8 encapsulated with Mo-based polyoxometalates as surfaces with antibacterial activity against Escherichia coli

MM Abdelkhalek, AM Mohamed, RZ Abdallah… - Nanoscale …, 2024 - pubs.rsc.org
Bacterial infections represent a major global health concern, causing millions of deaths and
a significant economic burden. The development of antibacterial nanoporous surfaces with …

[HTML][HTML] Continuous-flow mechanochemical preparation of Ag-Cu@ ZIF-8 bimetallic system for antimicrobial applications

AI Martín-Perales, M Peña-Ortiz, JA Resende… - Results in …, 2025 - Elsevier
This study discloses the synthesis of Ag-and Cu-modified ZIF-8 materials using a novel,
sustainable beads-assisted flow reaction in a continuous-flow mechanochemical system …

Iterative Feature Boosting for Explainable Speech Emotion Recognition

A Nfissi, W Bouachir, N Bouguila… - … on Machine Learning …, 2023 - ieeexplore.ieee.org
In speech emotion recognition (SER), using predefined features without considering their
practical importance may lead to high dimensional datasets, including redundant and …

Emotion Recognition Using Bayesian Learning from a Multi-Label Data Corpus

B Swathi, MR Kumar, MR Belgaum… - 2022 International …, 2022 - ieeexplore.ieee.org
In the digital era of information systems, emotion detection from audio signals is crucial for
forensic services and operator or driver emotion monitoring in large-scale companies' safety …

Development of an equation-free reduced-order model based on different feature extraction patterns on the two-dimensional steady-state heat transfer dataset

S Afzali, MK Moayyedi, F Fotouhi - Soft Computing Journal, 2021 - scj.kashanu.ac.ir
Due to the high computational cost and time of the direct or numerical methods of the partial
differential equations governing phenomena, this paper proposes an equation-free model …

Investigation of Poor Explainability of Fraud Detection Black-Box Models: Implementation of Parsimonious Point-Based Scoring Model

S Lhymn - 2024 - search.proquest.com
This study examined explainability in machine learning. Specifically, the research problem
was poor parsimony in fraud detection models. Financial services organizations, especially …