[HTML][HTML] Detection of fake news using deep learning CNN–RNN based methods

IK Sastrawan, IPA Bayupati, DMS Arsa - ICT express, 2022 - Elsevier
Fake news is inaccurate information that is intentionally disseminated for a specific purpose.
If allowed to spread, fake news can harm the political and social spheres, so several studies …

The impact of heterogeneous distance functions on missing data imputation and classification performance

MS Santos, PH Abreu, A Fernández, J Luengo… - … Applications of Artificial …, 2022 - Elsevier
This work performs an in-depth study of the impact of distance functions on K-Nearest
Neighbours imputation of heterogeneous datasets. Missing data is generated at several …

Hybrid approach of the fuzzy C-means and the K-nearest neighbors methods during the retrieve phase of dynamic case based reasoning for personalized follow-up of …

EN El Mokhtar, Z Abdelhamid - International journal of …, 2019 - search.proquest.com
The goal of adaptive learning systems is to help the learner achieve their goals and guide
their learning. These systems make it possible to adapt the presentation of learning …

Comparison of Naive Bayes and K-nearest neighbours for online transportation using sentiment analysis in social media

AR Atmadja, W Uriawan, F Pritisen… - Journal of Physics …, 2019 - iopscience.iop.org
Nowadays, online transportation is one of the transportation that is increasingly preferred by
people. It becomes important because people need transportation to be more effective and …

Implementation of rabin-karp algorithm to determine the similarity of synoptic gospels

AB Khoir, H Qodim, B Busro… - Journal of Physics …, 2019 - iopscience.iop.org
Abstract The Synoptic Gospels have been a mystery for several hundred years in the study
of the New Testament. One problem that stands out is the similarity of the content inside. Not …

An approximate binary classifier for data integrity assessment in IoT sensors

A John, S Ullah, A Kumar, B Cardiff… - 2020 27th IEEE …, 2020 - ieeexplore.ieee.org
This paper presents a machine learning-based technique for quality assessment of
electrocardiogram (ECG) signals in wearable Internet of Things (IoT) sensors. Quality …

[HTML][HTML] Мониторинг и адаптация базы проектных прецедентов при управлении инновационными проектами на основе нечёткого онтологического подхода

ВВ Борисов, МВ Черновалова… - Онтология …, 2020 - cyberleninka.ru
Анализируется использование методов рассуждения на основе прецедентов при
управлении инновационными проектами. На примере электромеханических систем …

Hybrid Approach for Wind Turbines Power Curve Modeling Founded on Multi-Agent System and Two Machine Learning Algorithms, K-Means Method and the K …

M Kouissi, EM En-Naimi… - International Journal of …, 2022 - search.ebscohost.com
Wind turbine power curve (WTPC) plays an important role for energy assessment, power
forecasting and condition monitoring. The WTPC captures the nonlinear relationship …

Combination of case based reasoning with nearest neighbor and decision tree for early warning system of student achievement

M Hasnawi, N Kurniati… - 2018 2nd East Indonesia …, 2018 - ieeexplore.ieee.org
Student achievement is one of the main focuses to increase university credibility. An early
warning system is needed to prevent more risks. The early warning systems (EWS) of …

[PDF][PDF] Diagnosis Dan Penanganan Penyakit Tanaman Karet Pada Sistem Pakar Berbasis Penalaran Menggunakan Metode Teorema Bayes

B Muslimin, E Junirianto, S Suswanto… - Jurnal Rekayasa …, 2022 - academia.edu
Tanaman karet adalah jenis tanaman tahunan yang tumbuh dan menghasilkan produksi
dalam jangka waktu lama. Hasil panen tanaman karet bersumber dari batang yang memiliki …