Results 121 to 130 of about 4,805,610 (298)

Konversi Grafem ke Fonem Bahasa Indonesia Menggunakan Multi-Layer Perceptron [PDF]

, 2012
ABSTRAKSI: Konversi Indonesian grapheme-to-phoneme (G2P) merepresentasikan sebuah tugas pemetaan setiap grafem/simbol eja dalam sembarang kata yang dikenal dalam bahasa Indonesia ke representasi fonemik/simbol pelafalannya.
Siti Halimah
core  

Performance of the multi-layer perceptron (MLP) prediction model on variables generated by principal component analysis.

, 2019
Performance of the multi-layer perceptron (MLP) prediction model on variables generated by principal component analysis.
Saqib E. Awan (6883298), Benjamin J. Chow (6883307), Mohammed Bennamoun (6883301), Ferdous Sohel (6883304), Girish Dwivedi (28126), Frank M. Sanfilippo (375392)   +5 more
core   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Single sound source localization using multi-layer perceptron

, 2017
A localization of single sound source is investigated in this paper. The aim of investigation was to propose a technique for single sound source localization based on sound level differences in microphone array.
Darius Plonis, Serackis, Artūras, Saulius Sakavicius, Arturas Serackis, Sakavičius, Saulius, Plonis, Darius   +5 more
core   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Intelligence analysis of membrane distillation via machine learning models for pharmaceutical separation

Scientific Reports
This study investigates simulation of pharmaceutical separation via membrane distillation process by computational simulation and machine learning modeling strategy.
Abdullah Alkhammash
doaj   +1 more source

Extraction of voltage harmonics using multi-layer perceptron neural network

, 2008
This paper presents a harmonic extraction algorithm using artificial neural networks for Dynamic Voltage Restorers (DVRs). The suggested algorithm employs a feed forward Multi Layer Perceptron (MLP) Neural Network with error back propagation learning to ...
Bayindir K.Ç., Tümay M., BAYINDIR, KAMİL ÇAĞATAY, TÜMAY, MEHMET, Meral M.E., MERAL, Mehmet Emin   +5 more
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source