Results 11 to 20 of about 45,107 (150)
Hybrid Machine Learning Techniques to detect Real Time Human Activity using UCI Dataset [PDF]
EAI Endorsed Transactions on Internet of Things, 2022 The cell phone is assuming a crucial job in present day life. It offers types of assistance and applications, for example, location tracking, medical applications, and human activity examination.
Muhammad Arshad +6 more
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Application of Feature Selection for Identification of Cucumber Leaf Diseases (Cucumis sativa L.)
JISA (Jurnal Informatika dan Sains), 2021 According to data from BPS Kabupaten Jember, the amount of cucumber production fluctuated from 2013 to 2017. Some literature also mentions that one of the causes of the amount of cucumber production is disease attacks on these plants.
Lalitya Nindita Sahenda +4 more
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Comparison of Machine Learning Classification Methods in Hepatitis C Virus
JOIN: Jurnal Online Informatika, 2021 The hepatitis C virus (HCV) is considered a problem to the health of societies are the main. There are around 120-130 million or 3% of the world's total population infected with HCV.
Lailis Syafa’ah +3 more
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Ilkom Jurnal Ilmiah, 2020 Problems the Topic of the final project is a form of scientific writing that contains the results of observations from a study of the problems that occur with the use of methods related to the particular field of science.
Sumarni Sumarni, Suhardi Rustam
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knn-seq: Efficient, Extensible kNN-MT Framework
, 2023 k-nearest-neighbor machine translation (kNN-MT) boosts the translation quality of a pre-trained neural machine translation (NMT) model by utilizing translation examples during decoding. Translation examples are stored in a vector database, called a datastore, which contains one entry for each target token from the parallel data it is made from.
Deguchi, Hiroyuki +5 more
openaire +2 more sources
Will they repay their debt? Identification of borrowers likely to be charged off
Management şi Marketing, 2020 Recent increase in peer-to-peer lending prompted for development of models to separate good and bad clients to mitigate risks both for lenders and for the platforms.
Caplescu Raluca Dana +3 more
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K Nearest Neighbor Imputation Performance on Missing Value Data Graduate User Satisfaction
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 A missing value is a common problem of most data processing in scientific research, which results in a lack of accuracy of research results. Several methods have been applied as a missing value solution, such as deleting all data that have a missing ...
Abdul Fadlil, Herman, Dikky Praseptian M
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Minimum-Norm Adversarial Examples on KNN and KNN based Models [PDF]
2020 IEEE Security and Privacy Workshops (SPW), 2020 3rd Deep Learning and Security Workshop (co-located with the 41st IEEE Symposium on Security and Privacy)
Sitawarin, Chawin, Wagner, David
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Classification Based on Machine Learning Methods for Identification of Image Matching Achievements
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 The random noise signal is widely used as a test signal to identify a physical or biological system. In particular, the Gaussian distributed white noise signal (Gaussian White Noise) is popularly used to simulate environmental noise in telecommunications
Dewi Astria Faroek +2 more
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Ilkom Jurnal Ilmiah, 2023 Gorontalo Province is one of the provinces that have fishery potential and has a large sea area that can be managed to support the economy and development of the province.
Zulfrianto Yusrin Lamasigi +2 more
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