Results 111 to 120 of about 131,003 (284)

Dried biofluid droplet morphologies for automated and scalable disease classification

Droplet, EarlyView.
For the first time, disease‐specific fingerprints of diabetes and influenza are revealed from dried biofluid droplet morphologies. Using automated droplet detection, texture analysis, and interpretable machine learning, this scalable workflow transforms endpoint droplet patterns into diagnostic biomarkers for point‐of‐care healthcare applications ...
Anusuya Pal, Piyush Thakur, Amalesh Gope, Ryuta Uraki, Kawaoka Yoshihiro, Miho Yanagisawa   +5 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

Locally Weighted Naive Bayes

, 2012
Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)
Frank, Eibe, Hall, Mark, Pfahringer, Bernhard   +2 more
openaire   +2 more sources

Statistical Discrimination of Urinary Steroid Biomarkers in the Athlete Biological Passport: A Novel Approach to an Abnormal Steroid Profile Score (ASPS)

Drug Testing and Analysis, EarlyView.
The study developed a single Abnormal Steroid Profile Score (ASPS) to improve interpretation of the Athlete Biological Passport steroid module. Using Bayesian modelling and logistic regression, biomarker patterns from laboratory and doping control data successfully discriminated between doped and clean individuals, with improved classification ...
James G. Hopker, Jim E. Griffin, Matthew N. Fedoruk, Laura A. Lewis   +3 more
wiley   +1 more source

Trigonometric words ranking model for spam message classification

IET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

Machine Learning–Enhanced Fluorescence Cryptography with NADH‐Responsive Polymer Dots

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study presents a smart anticounterfeiting system using semiconducting polymer dots (Pdots) that exhibit tunable fluorescence responses to NADH. By integrating these dynamic optical signals with machine learning–based decoding, the work establishes a secure and intelligent encryption platform, showing a novel strategy that links chemical sensing ...
Zhengkun Zhan, Mingyue Gong, Zirui Zeng, Hangyu Liu, Xiaoliang Li, Zhuxin Dong, Xiaoju Men, Haobin Chen   +7 more
wiley   +1 more source

Parametric design method of building structured cabling system oriented to data mining

IET Networks, EarlyView., 2022
This paper puts forward the method of secondary development and design software through the research of building structured cabling system (SCS), and uses data mining technology to carry out parametric design of building SCS. Then, the feasibility of the design is tested by comparing the data of the traditional design and the parametric design ...
Bing Wang, Wei Yue
wiley   +1 more source

Exercise limitations in amyloid cardiomyopathy assessed by cardiopulmonary exercise testing—A multicentre study

ESC Heart Failure, Volume 12, Issue 2, Page 1326-1335, April 2025.
Abstract Aims Amyloid cardiomyopathy is caused by the deposition of light chain (AL) or transthyretin amyloid (ATTR) fibrils, that leads to a restrictive cardiomyopathy, often resulting in heart failure (HF) with preserved or reduced ejection fraction.
Robin Willixhofer, Mauro Contini, Michele Emdin, Damiano Magrì, Alice Bonomi, Elisabetta Salvioni, Fabrizio Celeste, Alberico Del Torto, Claudio Passino, Christophe D.J. Capelle, Chiara Arzilli, Emiliano Fiori, Nicolò Capra, Christina Kronberger, Nikita Ermolaev, Andreas Kammerlander, Beatrice Musumeci, Giuseppe Vergaro, Vincenzo Castiglione, René Rettl, Giacomo Tini, Andrea Baggiano, Iacopo Fabiani, Susanna Sciomer, Roza Badr Eslam, Piergiuseppe Agostoni   +25 more
wiley   +1 more source

Weighted naïve bayes multi-user classification for adaptive authentication

Journal of Physics Communications
Machine learning classification algorithms have been extensively utilized in addressing user authentication challenges. Nonetheless, a majority of solutions categorize users into three classes, whereas adaptive authentication scenarios necessitate ...
Prudence M Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma   +3 more
doaj   +1 more source

Optimization the Naive Bayes Classifier Method to Diagnose Diabetes Mellitus [PDF]

, 2019
World Health Organization (WHO) states that Diabetes Mellitus is the world's top deadly  disease. several studies in the health sector including diabetes mellitus have been carried out to detect diseases early.
Riana, D. (Dwiza), Susilawati, D. S. (Desi)   +1 more
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