With the development of network technology, video applications have surged, necessitating timely review and supervision of the vast amount of uploaded data. Action recognition in videos, a key AI research area, has ad...
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In modern battlefields, the stability of wireless communications is crucial for intelligence transmission, command coordination, and maintaining strategic advantage. However, with the rapid advancement of communicatio...
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Detecting cancer is a crucial step in the prognosis and treatment of most cancers and consequently, there has been significant progress in the development of automatic strategies for detecting cancer. One approach tha...
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Quantitative research on tension environments has mostly used mobile assessment experiments in standardized settings. Recently, sensors and eye-tracking glasses have dedicated resources to future technologies, includi...
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In this paper, we present a novel dual broadband antenna tailored for vehicular applications. The antenna design incorporates circular and square patches, metal cylinders, and conductive vias. Our simulated results de...
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An essential aspect of analyzing processes with process mining is the notion of variants. Analysts can make better decisions and improve processes by understanding variants based on event data. Conventional variant an...
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ISBN:
(纸本)9783031610561;9783031610578
An essential aspect of analyzing processes with process mining is the notion of variants. Analysts can make better decisions and improve processes by understanding variants based on event data. Conventional variant analysis methods, however, focus primarily on variation based on event sequences only, which means they cannot effectively capture the complexity and contextual specificity of real-world process variation in other dimensions. In addition, the few methods that allow for a multifaceted analysis presume process variants as already predefined entities rather than customizable to specific target use cases. To overcome this limitation, we reconceptualize variant analysis at the level of variant extraction and propose an approach that maps process instances to equivalence classes over a set of properties utilizing an unsupervised binary mapping technique. The approach was implemented as a Python application, allowing analysts to define various variant types flexibly. We validate the approach by creating domain-specific variants with real-world event data representing pathways of sepsis patients from a hospital. The evaluation demonstrates that it can handle domain-specific process variation more effectively than conventional variant analysis methods.
This research recognizes the pressing need for innovative research in healthcare, enabling the transition towards analytics, by explaining how previous studies utilized big data, AI, and machine learning to identify, ...
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This paper addresses mathematical methods to reduce or segment the search space for big data solutions into distinct subspaces with partial solutions. It is achieved by using a data organization structure of 'm-tu...
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The definition and understanding of UX data and its possibilities for analysis and production of insights play a key role in software teams' adoption of UX practices. information Visualization (InfoVis) offers app...
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ISBN:
(纸本)9783031592348;9783031592355
The definition and understanding of UX data and its possibilities for analysis and production of insights play a key role in software teams' adoption of UX practices. information Visualization (InfoVis) offers approaches to assist the design of visualizations that users could better explore. Besides, it provides principles to support the analysis of information that emerged from data. This paper introduces a doctoral research project that uses Design scienceresearch (DSR) as a general methodology to guide successive research cycles involving investigations in the grey literature and exploratory studies to build a framework. This doctoral research aims to develop a framework for assisting software teams in creating, configuring, and using visual representations to organize, extract, and communicate information embedded within UX data.
作者：
Mageshwaran, M.K.Sri Ramya, P.Saveetha University
Saveetha School of Engineering Saveetha Institution of Medical and Technical Sciences Department of Information Technology Tamil Nadu Chennai India Saveetha University
Saveetha School of Engineering Saveetha Institution of Medical and Technical Sciences Department of Computer Science and Engineering Tamil Nadu Chennai India
This research is to seek to know which algorithm between the DES (Data Encryption Standard) and AES (advanced Encryption Standard) is faster in encryption and decryption as well as determine which is safer The data se...
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