The sixth-generation (6G) wireless networks are envisioned to deliver a paradigm shift in performance, capacity, and complexity compared to the previous generations. The increased complexity, ultra-low latency, and hi...
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In this paper we present a context-aware tool designed for mapping and tagging objects and places of importance to rural communities using sensor-enabled mobile devices. These data sets comprise comprehensive models o...
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This paper investigates the integration of quantum key distribution (QKD) and post-quantum cryptography (PQC) into software defined networks (SDNs) to maintain their security even against quantum computers which threa...
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This paper proposes a novel architecture for enabling ultra-fast and ultra-safe 6G networks that can support complex and challenging real-time applications based on four key enabling technologies: 1) performance predi...
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Aspect-oriented programming (AOP) is increasingly gaining in popularity. However, the focus of aspect-oriented language research has been mostly on language design issues;efficient implementation techniques have been ...
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The present study analyzed data collection, coding and transmission modes involved in building energy consumption monitoring platform. By analyzing and designing the functions, data collection and management of the sy...
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Testing executable business processes, e.g., developed in BPMN 2.0 or WS-BPEL, is an important task within development projects. However, this task is labor-intensive due to the amount and scale of interactions of a t...
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The proliferation of deluding data such as fake news and phony audits on news web journals,online publications,and internet business apps has been aided by the availability of the web,cell phones,and social *** can qu...
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The proliferation of deluding data such as fake news and phony audits on news web journals,online publications,and internet business apps has been aided by the availability of the web,cell phones,and social *** can quickly fabricate comments and news on social *** most difficult challenge is determining which news is real or ***,tracking down programmed techniques to recognize fake news online is *** an emphasis on false news,this study presents the evolution of artificial intelligence techniques for detecting spurious social media *** study shows past,current,and possible methods that can be used in the future for fake news *** different publicly available datasets containing political news are utilized for performing *** supervised learning algorithms are used,and their results show that conventional Machine Learning(ML)algorithms that were used in the past perform better on shorter text *** contrast,the currently used Recurrent Neural Network(RNN)and transformer-based algorithms perform better on longer ***,a brief comparison of all these techniques is provided,and it concluded that transformers have the potential to revolutionize Natural Language Processing(NLP)methods in the near future.
AT&T software projects have experimented with different softwareengineering methods supported by computer-aided softwareengineering (CASE) tools. This paper examines the challenges of adopting methods and tools ...
AT&T software projects have experimented with different softwareengineering methods supported by computer-aided softwareengineering (CASE) tools. This paper examines the challenges of adopting methods and tools by summarizing the experiences of 15 projects. By examining the experiences of these projects, conclusions about how to apply methods and tools can be made.
Research related to the problem of automatic parking of driverless passenger vehicles is of great importance, and this paper presents a series of studies on the path planning problem of automatic parking of driverless...
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