Software to support the risk management of software ...
David Noben (11408921)
core +1 more source
Investigating Discharge Coefficient of Slide Gate-Sill Combination Using Expert Soft Computing Models [PDF]
The use of gate-sill combinations in recent years has been one of the new methods in increasing the hydraulic performance of gates, including the discharge coefficient (Cd).
Yousef Hassanzadeh, Hamidreza Abbaszadeh
doaj +1 more source
Early Explorations using KNN to Classify Emotions in Virtual Reality based on Heart Rate (HR) and Electrodermography (EDG) [PDF]
To detect multimodal emotions using Virtual Reality (VR), this research demonstrates the findings and results of using a KNN Classifier by merging Heart Rate and Electrodermography signals. The participants in the study were shown 360-degree videos using
Bulagang Aaron Frederick +2 more
doaj +1 more source
Texture Feature Extraction in Grape Image Classification Using K-Nearest Neighbor
Indonesian Grapes are a vine. This fruit is often found in markets, shops, roadside. Along with the development of computer technology today, computers can solve problems by classifying objects and objects.
Pulung Nurtantio Andono +1 more
doaj +1 more source
<p>A fast anytime kNN search algorithm that assesses only true kNN candidates in a lazy fashion.</p>Developed as part of the authors' PhD research at the Artificial Intelligence Research Institute, IIIA ...
Mehmet Oğuz Mülâyim +1 more
core +1 more source
Software Cost Estimation by a New Hybrid Model of Particle Swarm Optimization and K-Nearest Neighbor Algorithms [PDF]
A successful software should be finalized with determined and predetermined cost and time. Software is a production which its approximate cost is expert workforce and professionals.
M. Hasanluo +1 more
doaj +1 more source
Comparison of Selected Classification Methods in Automatic Speaker Identification
This paper presents performance comparison of three different classifiers applied in Automatic SpeakeR Identification: Gaussian Mixture Model (GMM), k Nearest Neighbor algorithm (kNN) and Support Vector Machines (SVM).
Martin Hric +2 more
doaj +1 more source
K-nearest neighbors (KNN) has been extensively used as imputation algorithm to substitute missing data with plausible values. One of the successes of KNN imputation is the ability to measure the missing data simulated from its nearest neighbors robustly.
Nadzurah Zainal Abidin +1 more
doaj +1 more source
Issues of heat supply quality improvement based on ambient air temperature forecasts and account of the heat supply system particularity [PDF]
The paper studies the issues of temperature regimes selection of the heat supply system operation through the shared use of the heat transfer medium, which is heated in the central boiler plant, by a group of consumers. They have different levels of heat
Mylnikov Leonid, Sidorov Anton
doaj
Speech Recognition Algorithm in a Noisy Environment Based on Power Normalized Cepstral Coefficient and Modified Weighted-KNN [PDF]
Speech recognition is widely used in robot control and automation. Nevertheless, the use of speech recognition in robots is limited due to its susceptibility to background noise.
Mohammed Safi, Eyad Abbas
doaj +1 more source

