Results 71 to 80 of about 1,106,758 (269)
Optimizing poultry audio signal classification with deep learning and burn layer fusion
This study introduces a novel deep learning-based approach for classifying poultry audio signals, incorporating a custom Burn Layer to enhance model robustness.
Esraa Hassan +4 more
doaj +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Enhancing fraud detection in banking by integration of graph databases with machine learning
The banking sector's shift from traditional physical locations to digital channels has offered customers unprecedented convenience and increased the risk of fraud for customers and institutions alike.
Ayushi Patil +5 more
doaj +1 more source
E-learning & Artificial Intelligence
The 15th vol. of the Series on E-learning monograph is “E-learning & Artificial Intelligence” includes articles of authors, participants from ten countries and from more than twenty universities during the scientific international conference entitled ”Theoretical and Practical Aspects of Distance Learning”, subtitled: “ E-learning and AI”, which was ...
openaire +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
There are about 1.3 billion people with disabilities in the world, including those who are blind and deaf, yet they still face many obstacles when it comes to participating in educational opportunities.
Alroy Deon Saldanha +6 more
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
The application of contagion risk spread modeling within the banking sector is a relatively recent development, emerging as a response to the persistent threat of liquidity risk that has affected financial institutions globally.
Hamza Mourad, Said Fahim, Mohamed Lahby
doaj +1 more source
ANALISIS PENERAPAN ARTIFICIAL INTELLIGENCE DALAM MENDETEKSI FRAUD PADA PROSES AUDIT (Studi Literatur Proses Audit di Asia dan Amerika) [PDF]
This research aims to determine the influence of implementing Artificial Intelligence (AI) in detecting fraud in the audit process in Asia and America.
Puspitasari, Mayang Titi
core
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang +9 more
wiley +1 more source

