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Machining Systems and Impact of Cutting Fluids
This chapter presents the theoretical basis of this work. First, the levels of abstractions in a machining system are presented as well as relevant... -
Fuzzy Sets Theory and Human Reliability: Review, Applications, and Contributions
Human reliability analysis (HRA) has drawn increasing attention from both academic and industry sectors to proactively enhance system safety in... -
Overview on Fault Detection and Diagnosis Methods in Building HVAC Systems: Toward a Hybrid Approach
This paper aims to provide a summarized classification of fault detection and diagnosis (FDD) methods in Heating Ventilation and Air Conditioning... -
Minimal AR: visual asset optimization for the authoring of augmented reality work instructions in manufacturing
This work investigates the possibility of using a novel “minimal AR” authoring approach to optimize the visual assets used in augmented reality (AR)...
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Enterprise service composition in IIoT manufacturing: integer linear optimization based on the hybrid multi-objective grey wolf optimizer
Nowadays, optimal value creation by smart awareness in the composition of enterprise business services in an architecture-centric way in industrial...
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Aspect term extraction via information-augmented neural network
Aspect term extraction (ATE) aims at identifying the aspect terms that are expressed in a sentence. Recently, Seq2Seq learning has been employed in...
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Data Mining and Nonlinear Non-stationary Processes Forecasting by Using Linguistic Modeling Method
The report focuses on the actual task of development of mathematical tool for data mining and nonlinear non-stationary processes forecasting. The... -
Swarm Robotics Behaviors and Tasks: A Technical Review
The field of swarm robotics has been researched for the last few decades to mimic the capability and the intelligence of biological insects and... -
Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why?
There are many articles that show a discrepancy between the various motives for the construction of XAI (Explanatory Artificial Intelligence), which... -
An Intelligent Scheduling Method for Multi-domain Cooperative Operation Based on Deep Reinforcement Learning
In order to deal with the Multi-Domain Operation (MDO) proposed by the US military, our army has begun to focus on develo** its joint operation... -
Using Activity Theory and Task Structure Charts to Model Patient-Introduced Online Health Information into the Family Physician/Patient Examination Process
This research study was undertaken to gain a richer understanding of the use of patient-introduced online health information during the... -
BERT-Based Approach for Suicide and Depression Identification
With the advent of the Internet, there is an increasing requirement for sophisticated and intelligent systems that can operate efficiently handle the... -
Prosody-TTS: An End-to-End Speech Synthesis System with Prosody Control
End-to-end text-to-speech synthesis systems achieved immense success in recent times, with improved naturalness and intelligibility. However, the...
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COI Oriented Evaluation Method of Multi-domain Operation Demand Satisfaction of Equipment System of Systems
The current battlefield environment is no longer a single key operational area. In order to evaluate the requirement satisfaction of the existing... -
A Survey on Applications of Particle Swarm Optimization Algorithms for Software Effort Estimation
Particle swarm optimization is a metaheuristic, evolutionary global optimization method. The PSO algorithm is inspired from swarm behavior and... -
Information Systems Field: An Analysis Through a Bibliometric Methodology
Bibliometric methodologies are an important tool for analyzing academic fields’ evolution and status. This article analyzes the information system... -
Effectiveness Evaluation Method of the Unmanned Aerial Vehicle Swarm Considering Mission Process
Unmanned aerial vehicle (UAV) swarms need to exert their mission capabilities to complete a variety of collaborative missions in complex and... -
Learning to Use a Ratchet by Modeling Spatial Relations in Demonstrations
We introduce a framework where visual features, describing the interaction among a robot hand, a tool, and an assembly fixture, can be learned... -
Multi-objective Optimization and Multi-attribute Decision Making Method of UAV Swarm Based on Elastic Network
As the situation of unmanned combat changes rapidly, it is necessary to carry out dynamic task planning. How to conduct dynamic task scheduling for... -
Analysis of robustness and transferability in feature-based grinding burn detection
Grinding burn is a common problem in high-performance industrial manufacturing. Usually destructive (e.g., nital etching) or non-destructive (e.g.,...