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Parsisanj: an automatic component-based approach toward search engine evaluation
Web search engines play a significant role in answering users’ information needs based on the huge amount of data available on the internet. Although...
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Human activity-based anomaly detection and recognition by surveillance video using kernel local component analysis with classification by deep learning techniques
Abnormal behavior methods have attempted to reduce execution time, computational complexity, efficiency, robustness against pixel occlusion, and...
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Building a Local Classifier for Component-Based Face Recognition
The problem of constructing a supervised local classifier is solved in this article. In essence, this task is a classical recognition problem. The...
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Machine learning-driven pedestrian detection and classification for electric vehicles: integrating Bayesian component network analysis and reinforcement region-based convolutional neural networks
Autonomous electric vehicle safety is crucially dependent on the accurate recognition of pedestrians in diverse situations. Current pedestrian...
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Automatic modulation recognition of radar signals based on histogram of oriented gradient via improved principal component analysis
Automatic modulation recognition (AMR) of radar signals plays a critical role in electronic reconnaissance. Current AMR algorithms are mainly based...
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Mel-Frequency Cepstral Coefficient Features Based on Standard Deviation and Principal Component Analysis for Language Identification Systems
Spoken language identification (LID) is the process of determining and classifying natural language from a given content and dataset. Data must be...
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The Trustworthiness Measurement Model of Component-Based Software Based on Combination Weight
Software trustworthiness is an important indicator to assess the quality of software and can be portrayed by the attributes of the software. The...
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Bug characterization in machine learning-based systems
The rapid growth of applying Machine Learning (ML) in different domains, especially in safety-critical areas, increases the need for reliable ML...
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Applying medical image fusion based on a simple deep learning principal component analysis network
Deep learning model training is known to be difficult and time-consuming. The principal component analysis network (PCANET) is a reasonably...
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Accurate Performance Predictions with Component-Based Models of Data Streaming Applications
Data streaming applications are an important class of data-intensive systems and performance is an essential quality of such systems. Current...
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DAEMON: A Domain-Based Monitoring Ontology for IoT Systems
Internet of Things (IoT) is an emerging technology used in several contexts and domains. The work aims to define a technological reference solution...
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Systematic hierarchical analysis of requirements for critical systems
Safety and security are key considerations in the design of critical systems. Requirements analysis methods rely on the expertise and experience of...
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Component-Based Evaluation for Question Answering
Mitamura, Teruko Nyberg, EricThis chapter describes the component-based evaluation of automatic question answering (QA) systems, which was pioneered...
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A Systematic Approach for Interfacing Component-Based Software with an Active Automata Learning Tool
Applying Model-Driven Engineering can improve development efficiency. But gaining such benefits for legacy software requires models, and creating...
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Model generation of component-based systems
This paper presents COnfECt, a model learning approach, which aims at recovering the functioning of a component-based system from its execution...
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Regular Memory Structures and Operation Domains of Intelligent Systems
AbstractThe concept of a regular memory area for an intelligent system (IS) is considered. The formalized description of the memory of a separate IS...
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PCB Component Rotation Detection Based on Polarity Identifier Attention
Accurate detection of component rotation is a critical task in the production of printed circuit boards (PCBs). However, with the rapid development...
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A clustering-based short-term load forecasting using independent component analysis and multi-scale decomposition transform
A short-term electrical load forecasting model is proposed in this work. The proposed model is based on independent component analysis (ICA),...
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A deep reinforcement learning approach for maintenance planning of multi-component systems with complex structure
In recent years, the trend toward greater integration and complexity of mechanical systems has brought challenges to the formulation of preventive...
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Color image watermarking based on reflectance component modification and guided image filtering
Digital images available on the Internet can be effortlessly copied and redistributed. Many image watermarking methods have been developed and are...
