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A Robust Randomized Indicator Method for Accurate Symmetric Eigenvalue Detection
We propose a robust randomized indicator method for the reliable detection of eigenvalue existence within an interval for symmetric matrices A . An...
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AI-Enhanced Fault Detection Using Multi-Structured Data in Semiconductor Manufacturing
The semiconductor industry is growing rapidly due to its key drivers, an increased chip demand for newly emerging technologies, as well as the...
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Machine Learning for Failure Analysis: A Mathematical Modelling Perspective
Failure analysis is an interdisciplinary and exciting research area that lies at the interface between mathematics, physics, and materials science....
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On Suffix Tree Detection
A suffix tree is a fundamental data structure for string processing and information retrieval, however, its structure is still not well understood....
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Taxonomy of Intrusion Detection and Its Effectiveness in Internet of Things
Intrusion detection systems (IDSs) provide defense against cyberattacks in distributed systems. In this chapter, the research studies related to...
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Survey: Intrusion Detection for IoT
Internet of Things (IoT) is a concept that has evolved into a wonderful technology in the creation of smart surroundings to improve the quality of...
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Multiobjective Evolutionary Clustering to Enhance Fault Detection in a PV System
Data clustering combined with multiobjective optimization has become attractive when the structure and the number of clusters in a dataset are...
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Accident Detection, Alert, and Tracking System Based on IoT
One of the main causes of death worldwide is traffic accidents. In this chapter, IoT-based accident detection is discussed which provides warning...
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Advanced Analytics for Hard Rock Violent Failure in Underground Excavations
In recent decades, mining projects have required deeper excavations to access resources due to increased excavating depth, the risks of mining...
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Unsupervised deep learning techniques for automatic detection of plant diseases: reducing the need of manual labelling of plant images
Crop protection from diseases through applications of plant protection products is crucial to secure worldwide food production. Nevertheless,...
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Approximate Evaluation of the Efficiency of Synchronous and Self-Timed Methodologies in Problems of Designing Failure-Tolerant Computing and Control Systems
AbstractThe paper deals with a comparative analysis of the efficiency of using synchronous and self-timed (ST) methodologies in the design of...
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Computer Vision–Based Malpractice Detection System
Examinations are the most important aspects in student lives. In order to secure high score, they may adopt different cheating approaches during the...
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Determination of Probability of Failure of Structures Using DBSCAN and Support Vector Machine
Nowadays, the advanced machine learning method, support vector machine (SVM), is used to determine the probability of failure of a system. The aim of...
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Plant Pest Detection: A Deep Learning Approach
Pests are one of the severe threats targeting the crops at an alarming rate which makes pest and disease detection a laborious and expensive task...
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PSIS-based blind watermarking scheme (PSISBW) with tamper detection
Privacy and security associated with cloud data have always been a concern for end user. Sharing the image data in some crucial applications like...
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An IoT Application for Detection and Monitoring of Manhole
In today’s world, manhole problems in populated areas is a major issue. The probability of the rate of accidents on roads is increasing gradually...
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The Length of Single Fault Detection Tests with Respect to Substitution of Gates with Inverters
We show that for an arbitrary Boolean function realized by a combinational circuit over an arbitrary com-plete basis, there exists an irredundant...
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A Mach–Zehnder Ring Resonator Layout for Label Free Detection of Diabetes
Most diabetic patients argue about the high price of the disposable test card together with an unpleasant and painful fasting blood test that must be...