A review on linear regression comprehensive in machine learning

D Maulud, AM Abdulazeez - Journal of Applied Science and Technology …, 2020 - jastt.org
Perhaps one of the most common and comprehensive statistical and machine learning
algorithms are linear regression. Linear regression is used to find a linear relationship …

ICT enabled TVET education: a systematic literature review

RH Hassan, MT Hassan, S Naseer, Z Khan… - IEEE Access, 2021 - ieeexplore.ieee.org
Economies of the world and workforce level of skills are changing rapidly. Industrial
revaluations and knowledge economies have raised the demand for a knowledgeable and …

Dual band antenna design and prediction of resonance frequency using machine learning approaches

MA Haque, N Sarker, NS Sawaran Singh… - Applied Sciences, 2022 - mdpi.com
An inset fed-microstrip patch antenna (MPA) with a partial ground structure is constructed
and evaluated in this paper. This article covers how to evaluate the performance of the …

Comparison study of regression models for the prediction of post-graduation admissions using machine learning techniques

NS Sapare, SM Beelagi - … on Cloud Computing, Data Science & …, 2021 - ieeexplore.ieee.org
In today's technological world, a student's graduate performance plays a vital role in building
either a net worthy career or opting different university for master's studies. One simple …

The Aspects Of Critical Thinking Toward Students' Psychomotor Skill In Learning Of Microprocessor And Microcontroller Programming Techniques

IGPA Buditjahjanto, MW Habibi… - International Journal of …, 2024 - journal2.uad.ac.id
This study aims to determine the effect of critical thinking aspects on students' psychomotor
skills. Aspects of critical thinking include interpreting, planning, predicting, analyzing …

An application of backpropagation neural network for sales forecasting rice miling unit

M Aritonang, DJC Sihombing - 2019 International Conference …, 2019 - ieeexplore.ieee.org
There are many rice fields and rice milling factories. Rice Milling Units (RMU) are still many
who have not applied the prediction method for the sale of rice so that it can affect the …

Scheduling and predictive maintenance for smart toilet

A Lokman, RK Ramasamy, CY Ting - IEEE Access, 2023 - ieeexplore.ieee.org
Modern society needs bathrooms. Poor sanitation is caused by worn-out appliances and
expensive cleaning. The technique also requires an inexpensive, dependable sensor. This …

Understanding and enhancement of internal clustering validation indexes for categorical data

X Gao, M Yang - Algorithms, 2018 - mdpi.com
Clustering is one of the main tasks of machine learning. Internal clustering validation
indexes (CVIs) are used to measure the quality of several clustered partitions to determine …

[PDF][PDF] An integrative review of computational methods for vocational curriculum, apprenticeship, labor market, and enrollment problems

A Dardiri, FA Dwiyanto… - International Journal of …, 2020 - pdfs.semanticscholar.org
Vocational education and training (VET) are aspects of the general educational process,
including research on technology and related sciences and practical skills, attitudes …

Exploring Automatic Assessment-Based Features for Clustering of Students' Academic Performance

A Qoiriah, Y Yamasari, Asmunin, AI Nurhidayat… - Proceedings of the 12th …, 2021 - Springer
Many students have difficulty learning computer programming languages. Programming is a
skill that requires a lot of practice, not just theory. Students are required to have the ability to …