Results 71 to 80 of about 73,492 (280)

Small ancestry informative marker panels for complete classification between the original four HapMap populations

, 2012
A protocol for the identification of ancestry informative markers (AIMs) from genome-wide single nucleotide polymorphism (SNP) data is proposed. The protocol consists of three main steps: (a) identification of potential positive selection regions via Fst
Aporntewan, Chatchawit, Assawamakin, Anunchai, Chaiyaratana, Nachol, Limwongse, Chanin, Piroonratana, Theera, Setsirichok, Damrongrit, Usavanarong, Touchpong, Wongseree, Waranyu   +7 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

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, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Klasifikasi Posting Twitter Kemacetan Lalu Lintas Kota Bandung Menggunakan Naive Bayesian Classification

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013
Abstrak Setiap hari server Twitter menerima data tweet dengan jumlah yang sangat besar, dengan demikian, kita dapat melakukan data mining yang digunakan untuk tujuan tertentu. Salah satunya adalah untuk visualisasi kemacetan lalu lintas di sebuah kota.
Sandi Fajar Rodiyansyah, Edi Winarko
doaj   +3 more sources

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

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Application Of Naive Bayes Classifier Algorithm In Determining New Student Admission Promotion Strategies [PDF]

, 2019
Data Mining is a process that uses statistical techniques, mathematics, artificial intelligence, machine learning to extract and identify useful information and related knowledge from large databases. Data mining is the process of finding new patterns in
Mirza, A. H. (Ahmad)
core  

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Intent Arabic text categorisation based on different machine learning and term frequency

IET Networks, EarlyView., 2022
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi, Mahmoud Shuker Mahmoud   +1 more
wiley   +1 more source

A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays

BMC Bioinformatics, 2006
Background Uncertainty often affects molecular biology experiments and data for different reasons. Heterogeneity of gene or protein expression within the same tumor tissue is an example of biological uncertainty which should be taken into account when ...
Piergiorgi Paolo, Magni Paolo, Demichelis Francesca, Rubin Mark A, Bellazzi Riccardo   +4 more
doaj   +1 more source

Altered Nasal Microbiota in Sinonasal Tumors: A Comparative Analysis of Malignant and Benign Sinonasal Tumors

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Although shifts in nasal microbiota have been well‐documented in inflammatory upper airway conditions, microbiota tumor‐associated alterations remain uncharacterized. This study is the first to compare sinonasal microbiota profiles of patients with malignant tumors (MT), benign tumors (BT), and controls, offering insights into tumor‐
Evan A. Patel, Phillip A. Engen, Glen D. Souza, Sarah Khalife, Donyea Moore, Lauren Kret, Pedro Escobedo, Stefan J. Green, Ankur Naqib, Peter Filip, Peter Papagiannopoulos, Bobby A. Tajudeen, Mahboobeh Mahdavinia, Pete S. Batra   +13 more
wiley   +1 more source