[PDF][PDF] The effect of gamma value on support vector machine performance with different kernels

IS Al-Mejibli, JK Alwan, DH Abd - Int. J. Electr. Comput. Eng, 2020 - academia.edu
Currently, the support vector machine (SVM) regarded as one of supervised machine
learning algorithm that provides analysis of data for classification and regression. This …

Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images

FL da Silva, MLG Sella, TM Francoy… - … and Electronics in …, 2015 - Elsevier
The main pollinator commercially available, ie Apis mellifera, is now facing a severe
population decrease worldwide due to the so-called Colony Collapse Disorder. Measures to …

Quadratic-radial-basis-function-kernel for classifying multi-class agricultural datasets with continuous attributes

KA Shastry, HA Sanjay, G Deexith - Applied Soft Computing, 2017 - Elsevier
Classification of agricultural data such as soil data and crop data is significant as it allows
the stakeholders to make meaningful decisions for farming. Soil classification aids farmers in …

[HTML][HTML] A reference process for automating bee species identification based on wing images and digital image processing

FS Santana, AHR Costa, FS Truzzi, FL Silva… - Ecological …, 2014 - Elsevier
Pollinators play a key role in biodiversity conservation, since they provide vital services to
both natural ecosystems and agriculture. In particular, bees are excellent pollinators; …

Supervised Expert System for Wearable MEMS Accelerometer‐Based Fall Detector

G Rescio, A Leone, P Siciliano - Journal of Sensors, 2013 - Wiley Online Library
Falling is one of the main causes of trauma, disability, and death among older people.
Inertial sensors‐based devices are able to detect falls in controlled environments. Often this …

[PDF][PDF] Virtual DMA municipal water supply pipeline leak detection and classification using advance pattern recognizer multi-class SVM

TG Mamo, I Juran, I Shahrour - Journal of Pattern Recognition …, 2014 - researchgate.net
In this paper we investigated and analyzed the concept of virtual district metered area (DMA)
as the core objective of the research to resolve the current gap and limitations of the actual …

Improving the performance of sigmoid kernels in multiclass SVM using optimization techniques for agricultural fertilizer recommendation system

MS Suchithra, ML Pai - … Conference, ICSCS 2018, Kollam, India, April 19 …, 2018 - Springer
Abstract Support Vector Machines (SVM) are advancing rapidly in the field of machine
learning due to their enhancing performance in categorization and prediction. But it is also …

Penerapan Algoritme Support Vector Machine (SVM) Pada Pengklasifikasian Penyakit Kucing

J Mase, MT Furqon, B Rahayudi - Jurnal Pengembangan Teknologi …, 2018 - j-ptiik.ub.ac.id
Kucing merupakan hewan peliharaan yang sering ditemukan di masyarakat. Pemeliharaan
kucing memerlukan perhatian yang besar agar kucing tidak terserang penyakit yang dapat …

Support Vector Machine for tri-axial accelerometer-based fall detector

G Rescio, A Leone, P Siciliano - 5th IEEE International …, 2013 - ieeexplore.ieee.org
The aim of this work is the development of a computationally low-cost scheme for feature
extraction and the implementation of an One-class Support Vector Machine classifier for …

A Narrow-Down Approach Based on Machine Learning for Indoor Localization

SMA Umair, T Arslan - Algorithms, 2023 - mdpi.com
Over the past decade, the demand and research for indoor localization have burgeoned and
Wi-Fi fingerprinting approach has been widely considered because it is cheap and …