Results 161 to 170 of about 213,693 (303)
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 +4 more
wiley +1 more source
Digital Image-based Classification of Clove Quality using Naïve Bayes Algorithm
Sistemasi: Jurnal Sistem InformasiAt present, clove cultivation is increasingly in demand, especially by farmers because it is easy to maintain and the selling price is high. Researchers conducted observations in Tana Toa Village on how the processing of cloves after harvesting is drying
Dilla Dilla +2 more
doaj +1 more source
Slow Learner Prediction Using Multi-Variate Naïve Bayes Classification Algorithm [PDF]
, 2017 Machine Learning is a field of computer science that learns from data by studying algorithms and their constructions. In machine learning, for specific inputs, algorithms help to make predictions.
Garg, Roopali, Rana, Shiwani
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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 +1 more
wiley +1 more source
Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes. [PDF]
Sensors (Basel), 2023 Maciura Ł +4 more
europepmc +1 more source
Bayes, Neyman and Neyman-Bayes Inference for Queueing Systems [PDF]
In this paper we will use the Bayesian inference for the parameters that appear in the queueing systems. We will estimate these parameters and we will build confidence intervals and significance tests for them, considering the parameters of the ...
Ciuiu, Daniel
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KOMBINASI METODE K-NEAREST NEIGHBOR DAN NAÏVE BAYES UNTUK KLASIFIKASI DATA [PDF]
, 2015 Data mining banyak digunakan untuk membantu menentukan keputusan dengan memprediksi tren data masa depan. K-Nearest Neighbor dan Naïve Bayes merupakan metode-metode data mining untuk klasifikasi data yang cukup populer.
Pranowo, . +2 more
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International Journal of Cancer, EarlyView.ABSTRACT Aspirin has been used to treat pain and fever for 120 years. Its uses expanded into treating arthritis and prevention of thrombotic events. Its anti‐cancer role emerged with observational studies in the 1980's and subsequent cancer review in those treated with aspirin in cardiovascular trials.
John Burn, D. Timothy Bishop
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 +7 more
wiley +1 more source
Comparison of decision tree and naïve Bayes algorithms in detecting trace residue of gasoline based on gas chromatography-mass spectrometry data. [PDF]
Forensic Sci Res, 2023 Md Ghazi MGB +3 more
europepmc +1 more source