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Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli Conference proceedings 2023 The Editor(s) (if app

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書(shū)目名稱(chēng)Complex, Intelligent and Software Intensive Systems
副標(biāo)題Proceedings of the 1
編輯Leonard Barolli
視頻videohttp://file.papertrans.cn/232/231619/231619.mp4
概述Presents recent research on complex, intelligent, and software intensive systems.Includes the proceedings of the 17th International Conference on Complex, Intelligent, and Software Intensive Systems.W
叢書(shū)名稱(chēng)Lecture Notes on Data Engineering and Communications Technologies
圖書(shū)封面Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli Conference proceedings 2023 The Editor(s) (if app
描述.This book aims to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: software intensive systems, complex systems and intelligent systems..Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems..Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions.. .The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations, builds a fruitful impulse for both sof
出版日期Conference proceedings 2023
關(guān)鍵詞Intelligent Systems; Complex Systems; Artificial Intelligence; Bio-Inspired Computing; Data Mining; Optim
版次1
doihttps://doi.org/10.1007/978-3-031-35734-3
isbn_softcover978-3-031-35733-6
isbn_ebook978-3-031-35734-3Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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書(shū)目名稱(chēng)Complex, Intelligent and Software Intensive Systems被引頻次




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Towards a Blockchain-Based Crowdsourcing Method for Robotic Ontology Evolution, infancy such as robotics. This mandates the need to evolve the corresponding ontologies. In this paper, we propose a new blockchain-based robotic ontology evolution method using a crowdsourcing approach. The proposed method integrates the use of a crowdsourcing approach to allow a crowd of robotic
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,An Energy-Aware Dynamic Algorithm for?the?FTBFC Model of?the?IoT,electric energy. In the FC (Fog Computing) model of the IoT, application processes for calculating on sensor data from devices are executed on both servers and fog nodes. The TBFC (Tree-Based FC) model is proposed to reduce the total energy consumption of the IoT. The FTBFC (Flexible TBFC) model is
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,A CCM, SA and?FDTD Based Mesh Router Placement Optimization in?WMN,ovide a stable wireless sensor network over a wide area. Since the placement of mesh routers has a significant impact on the overall WMN communication, a mesh router placement problem is defined to decide efficient mesh router placement. In our previous work, we proposed various optimization methods
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,Fine-Tuning VGG16 for?Alzheimer’s Disease Diagnosis,brain cells, leading to brain shrinkage and a decline in cognitive abilities, behavior, and social skills. Therefore, early diagnosis is crucial for optimizing care, improving quality of life, and advancing our understanding of the disease. This study presents a model that utilizes transfer learning
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