Results 51 to 60 of about 241,041 (317)
, 2006 Hidden Markov Model (HMM) adalah peluasan dari rantai Markov di mana statenya tidak dapat diamati secara langsung (tersembunyi), tetapi hanya dapat diobservasi melalui suatu himpunan pengamatan lain. Pada HMM terdapat tiga
Akmal, Akmal +2 more
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Mechanism‐Driven Screening of Membrane‐Targeting and Pore‐Forming Antimicrobial Peptides
Advanced Science, EarlyView.To combat antibiotic resistance, this study employs mechanism‐driven screening with machine learning to identify pore‐forming antimicrobial peptides from amphibian and human metaproteomes. Seven peptides are validated, showing minimal toxicity and membrane disruption.
Jiaxuan Li +9 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Using Hidden Markov Chains in Recognition of Vowel Letters in English Language [PDF]
المجلة العراقية للعلوم الاحصائية, 2006 This study deals with hidden Markov models . These models consist of sets of finite states , each one of them is associated with a probability distribution .
doaj +1 more source
Metode Hidden Markov Model Untuk Pemantauan Masa Subur Wanita Berbasis Android [PDF]
, 2020 Hingga saat ini masa subur atau ovulasi pada wanita dapat di ketahui dengan metode servik, monitoring suhu basal, metode peak day dan metode standard day.
Effendy, D. U. (Dedi) +2 more
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Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Interleaved Factorial Non-Homogeneous Hidden Markov Models for Energy Disaggregation [PDF]
, 2014 To reduce energy demand in households it is useful to know which electrical appliances are in use at what times. Monitoring individual appliances is costly and intrusive, whereas data on overall household electricity use is more easily obtained.
Goddard, Nigel +2 more
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Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Hybridization of a hidden Markov model using Elman neural network with application [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2014 This research aims to improve the performance of the work of hidden Markov model, which is limited to the positive integers as input, and through the use of Elman artificial neural network that have the ability to accept all types of data in the input ...
Omar Qasim
doaj +1 more source