Search
Search Results
-
Features of Detecting Malicious Installation Files Using Machine Learning Algorithms
AbstractThis paper presents a study of the possibility of using machine learning methods to detect malicious installation files related to the type...
-
Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
Hepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer that necessitates accurate prediction models for early diagnosis and...
-
The application and comparison between machine learning algorithms in cooperative spectrum sensing
The world is progressing at a rapid rate, and with continuous advancements in technology, the need for cooperative spectrum sensing has evolved....
-
Predicting Apple Plant Diseases in Orchards Using Machine Learning and Deep Learning Algorithms
Apple cultivation in the Kashmir Valley is a cornerstone of the region’s agriculture, contributing significantly to the economy through substantial...
-
A new perspective exploration of machine learning algorithms for defending Side-Channel attacks
Machine learning algorithms are used in various real-time applications, where security is one of the major problems. Security is applied in various...
-
Image Inpainting by Machine Learning Algorithms
AbstractImage inpainting is the process of filling in missing or damaged areas of images. In recent years, this area has received significant...
-
Machine Learning Algorithms
This chapter introduces the different types of algorithms that are used in machine learning to perform different operations. The chapter begins by...
-
Human-Curated Validation of Machine Learning Algorithms for Health Data
Validation of machine learning algorithms that take health data as input is analysed, leveraging on an example from radiology. A 2-year study of AI...
-
Machine Learning and Deep Learning Algorithms
This chapter provides a brief overview of how machine learning and deep learning algorithms are trained for biomedical natural language processing...
-
Machine Learning Algorithms for Identifying Fake Currencies
Currency in the form of coins and notes is extensively used in numerous aspects of our day-to-day lives, including but not limited to parking meters,...
-
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning
Differential testing is a useful approach that uses different implementations of the same algorithms and compares the results for software testing....
-
Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms
Exposure to UV rays due to global warming can lead to sunburn and skin damage, ultimately resulting in skin cancer. Early prediction of this type of...
-
Investigation of machine learning algorithms on heart disease through dominant feature detection and feature selection
Heart diseases are an essential research topic in healthcare institutions around the world. Therefore, using machine learning and optimization...
-
Traditional Machine Learning Algorithms
This chapter introduces you to the isolation forest and the one-class support vector machine algorithms and walks you through how to use them for...
-
Detecting SQL injection attacks by binary gray wolf optimizer and machine learning algorithms
SQL injection is one of the important security issues in web applications because it allows an attacker to interact with the application's database....
-
Optimizing flexural strength of fused deposition modelling using supervised machine learning algorithms
Due to its distinct production paradigm, additive manufacturing (AM) is positioned to bring about a revolution. It presents the possibility of...
-
Prioritizing unit tests using object-oriented metrics, centrality measures, and machine learning algorithms
Nowadays, increasing complexity and size of object-oriented software systems bring new software quality assurance challenges. Unit testing is one of...
-
Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms
Diabetes mellitus is characterized as a chronic disease that may cause many complications. Machine learning algorithms are used to diagnose and...
-
Machine Learning Algorithms
In this chapter, we describe the teachingMachine learning of several machine learning (ML) algorithms that are commonly taught in introduction to ML...
-
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation
Advances in computer science in combination with the next-generation sequencing have introduced a new era in biology, enabling advanced...
