This paper present three distinct probability-based methods for decision making and trajectory planning layers of overtaking maneuvering functionality for autonomous vehicles. The computation time of the proposed deci...
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There exist numerous sophisticated models and methods for estimating the size, cost and schedule of software projects. However, the ability to accurately predict the software cost of web based software for agile softw...
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There exist numerous sophisticated models and methods for estimating the size, cost and schedule of software projects. However, the ability to accurately predict the software cost of web based software for agile software projects is still dubious. The most appropriate web based software cost estimation in an agile software development environment is a big problem due to varying levels of customer requirement and different individual personnel capabilities. Also, the need to develop a separate model to estimate web based project is rising. In this research paper, we present AgileMOW, an approach to model a software cost estimation process which will evaluate effort and cost of software development for web based projects developed using Agile methodology with a number of constraints imposed by stakeholders and environmental characteristics, thereby satisfying multitudinous criteria by making use of COCOMO II model, a famous traditional algorithmic technique. Most importantly, the paper identifies the difference between conventional and web projects. The proposed estimation model enhances the level of visibility in the planning stages.
In this paper, an approach to augment action recognition time series datasets, devoted to improving the accuracy of deep learning classifiers, is proposed. In the introduced method, two operators are sequentially intr...
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Windows operating systems (NT, 2000, XP, 2003) were not designed for real-time and time-critical applications. But, due to the market requirements, many of the monitoring and control applications are to use Windows NT...
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This article presents an innovative approach that leverages interpretable machine learning models and cloud computing to accelerate the detection of septic shock by analyzing electronic health *** traditional methods,...
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This article presents an innovative approach that leverages interpretable machine learning models and cloud computing to accelerate the detection of septic shock by analyzing electronic health *** traditional methods,which often lack transparency in decision-making,our approach focuses on early detection,offering a proactive strategy to mitigate the risks of *** integrating advanced machine learning algorithms with interpretability techniques,our method not only provides accurate predictions but also offers clear insights into the factors influencing the model’s ***,we introduce a preference-based matching algorithm to evaluate disease severity,enabling timely interventions guided by the analysis *** innovative integration significantly enhances the effectiveness of our *** leverage a clinical health dataset comprising 1,552,210 Electronic Health Records(EHR)to train our interpretable machine learning models within a cloud computing *** techniques like feature importance analysis and model-agnostic interpretability tools,we aim to clarify the crucial indicators contributing to septic shock *** transparency not only assists healthcare professionals in comprehending the model’s predictions but also facilitates the integration of our system into existing clinical *** validate the effectiveness of our interpretable models using the same dataset,achieving an impressive accuracy rate exceeding 98%through the application of oversampling *** findings of this study hold significant implications for the advancement of more effective and transparent diagnostic tools in the critical domain of sepsis management.
作者:
Johnatan M.Rodríguez-SernaRicardo Albarracín-SánchezAbdullahi A.Mas'udDepartment of Electrical and Electronic Engineering
Automatic Controland Applied PhysicsSchool of Industrial Design and Engineering(ETSIDI)Universidad Politécnica de Madrid(UPM)Ronda de Valencia 328012MadridSpain 2Department of Electrical EngineeringUniversidad de AntioquiaCalle 67 No.53-108MedellínColombia 3Department of Electrical and Electronic Engineering TechnologyJubail Industrial College31961JubailSaudi Arabia
During the last two decades,partial discharges(PDs)modelling methods have been used as a complement of insulation diagnosis systems of electrical ***-element-analysis models for simulating PDs in cavities within solid...
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During the last two decades,partial discharges(PDs)modelling methods have been used as a complement of insulation diagnosis systems of electrical ***-element-analysis models for simulating PDs in cavities within solid dielectric materials are reviewed and a novel model is presented,which combines the main advantages of electrostatic and electric current *** theoretical background is presented and some limitations and restrictions are discussed.A case of study was implemented for three different ageing conditions and simulation results exhibit good agreement with reported values by other authors in the *** analysis of variations of PD behaviour with ageing as a function of temperature and pressure is briefly *** is concluded that more research is needed to include physical and chemical interactions on the void surface and that the cavity surface conductivity plays a fundamental role in the PD simulations at advanced ageing conditions.
In this paper, a vision-based method for fingerspelled acronyms recognition is proposed. First, the visual information carried by the image is reduced to the person's edges. The heterogeneous and changing backgrou...
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An algorithm for processing the continuous stream of incoming video data to detect and recognize signed expressions is proposed. The aim is to improve an assistive technology system. The method is based on the dynamic...
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The problem of the integral evaluations of the state and control vectors in continuous multi-input-multi-output fuzzy control systems is investigated. The fuzzy controller is assumed to be nonlinearity in a bounded se...
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A vision-based method for signed expressions recognition consisting of searching for previously prepared word models in the analyzed utterances was developed. The models were created as temporal sequences of grouped d...
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