A review of supervised machine learning algorithms
Supervised machine learning is the construction of algorithms that are able to produce
general patterns and hypotheses by using externally supplied instances to predict the fate of …
general patterns and hypotheses by using externally supplied instances to predict the fate of …
FPGA implementations of SVM classifiers: A review
Support vector machine (SVM) is a robust machine learning model with high classification
accuracy. SVM is widely utilized for online classification in various real-time embedded …
accuracy. SVM is widely utilized for online classification in various real-time embedded …
[PDF][PDF] Performance comparison between Naïve Bayes, decision tree and k-nearest neighbor in searching alternative design in an energy simulation tool
Energy simulation tool is a tool to simulate energy use by a building prior to the erection of
the building. Commonly it has a feature providing alternative designs that are better than the …
the building. Commonly it has a feature providing alternative designs that are better than the …
Roadsense: Smartphone application to estimate road conditions using accelerometer and gyroscope
Monitoring the road condition has acquired a critical significance during recent years. There
are different reasons behind broadening research on this field: to start with, it will guarantee …
are different reasons behind broadening research on this field: to start with, it will guarantee …
[图书][B] Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)
Concepts of Machine Learning with Practical Approaches. KEY FEATURES● Includes real-
scenario examples to explain the working of Machine Learning algorithms.● Includes …
scenario examples to explain the working of Machine Learning algorithms.● Includes …
[PDF][PDF] Statistical Analysis of Lower and Raised Pitch Voice Signal and Its Efficiency Calculation.
Accepted: 16 September 2019 The voice signals of human are a type of acoustic signal that
transfers the information about the message or word delivered in the form of speech. The …
transfers the information about the message or word delivered in the form of speech. The …
Speaker's voice characteristics and similarity measurement using Euclidean distances
The Euclidean distance and MFCC feature extraction technique are the composite way and
useful for successfully measure the similarity between speakers. This type of approaches is …
useful for successfully measure the similarity between speakers. This type of approaches is …
In-vitro classification of saliva samples of COPD patients and healthy controls using machine learning tools
PS Zarrin, N Roeckendorf, C Wenger - IEEE Access, 2020 - ieeexplore.ieee.org
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease and a
major cause of morbidity and mortality worldwide. Although a curative therapy has yet to be …
major cause of morbidity and mortality worldwide. Although a curative therapy has yet to be …
Multimedia analysis for disguised voice and classification efficiency
For multimedia analysis of electronic disguised method is a speech editing process in which
the characteristics of voice have been changed. Frequency spectrum characteristics of the …
the characteristics of voice have been changed. Frequency spectrum characteristics of the …
A novel approach for breast cancer prediction using optimized ANN classifier based on big data environment
Cancer is caused by the un-controlled division of abnormal cells in a body part. Various
cancers exist in this world and one amongst them is breast cancer. Breast cancer (BC) …
cancers exist in this world and one amongst them is breast cancer. Breast cancer (BC) …