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標(biāo)題: Titlebook: Mapping Biological Systems to Network Systems; Heena Rathore Book 2016 Springer International Publishing Switzerland 2016 Bio-Inspired Mac [打印本頁]

作者: Racket    時(shí)間: 2025-3-21 16:59
書目名稱Mapping Biological Systems to Network Systems影響因子(影響力)




書目名稱Mapping Biological Systems to Network Systems影響因子(影響力)學(xué)科排名




書目名稱Mapping Biological Systems to Network Systems網(wǎng)絡(luò)公開度




書目名稱Mapping Biological Systems to Network Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Mapping Biological Systems to Network Systems被引頻次




書目名稱Mapping Biological Systems to Network Systems被引頻次學(xué)科排名




書目名稱Mapping Biological Systems to Network Systems年度引用




書目名稱Mapping Biological Systems to Network Systems年度引用學(xué)科排名




書目名稱Mapping Biological Systems to Network Systems讀者反饋




書目名稱Mapping Biological Systems to Network Systems讀者反饋學(xué)科排名





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Case Study: A Review of Security Challenges, Attacks and Trust and Reputation Models in Wireless SeMany researchers are engaged in developing innovative design paradigms to address such nodes by developing key management protocols, secure routing mechanisms and trust management systems. Key management protocols and secure routing cannot itself provide security to WSNs for various attacks. Trust m
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Heena Rathoremes or offices. Telephone subscribers are normally attached to a central office within their geographic area. These central offices have large-scale computers, generally called switches, built with huge hardware and managed by various software modules. These switches are considered as the brain of t
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Inceptive Findings,ral analogy is required for building a framework between the two systems. Looking for specific behavior that optimally maps to networks provides better understanding for modeling and systematic development of novel methods in network systems. Instigation of novel methodologies requires identificatio
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Swarm Intelligence and Social Insects,animals control and manage their position with the help of local interactions among companions of the same species. The work is performed in a systematic manner such that exchange of information occurs. The information which is gathered is shared with the other species. This ability benefits them in
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Information Epidemics and Social Networking,mmunicable disease models, so that one can come up with a good response system to contain the spread of viruses. Social networks are susceptible to the rapid spread of malicious information, commonly referred to as rumors. Rumors often spread rapidly through the network and, if not contained quickly
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Artificial Neural Network,iological neural networks, i.e., brain. The system is utilized to gauge or estimate capacities that can rely upon a substantial number of inputs which are obscure. ANNs are for the most part introduced as frameworks of interconnected “neurons” which trade messages between one another. The associatio
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Heena Rathorecture based network. Since it is not realistically possible to simulate or emulate the real world SIP network and study the performance characteristics of the SIP proxy server, significant effort was devoted in exploring new creative ways of designing the lab network and hardware setup. We conducted
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Heena Rathoreg System Number 7 (SS7). SS7 was considered one of the most reliable and capable signaling protocols. IN is defined as an architectural concept for the operation and provision of services as recommended by ITU-T standard. Workstations installed with software interfaces with the network can provide m
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cture based network. Since it is not realistically possible to simulate or emulate the real world SIP network and study the performance characteristics of the SIP proxy server, significant effort was devoted in exploring new creative ways of designing the lab network and hardware setup. We conducted
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Heena RathoreShows how bio-inspired systems – which are inherently robust, flexible and have high resilience towards critical errors - hold immense potential for next generation network systems.Outlines computing
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Inceptive Findings,n of the analogies and understanding of the realistic biological behavior. This chapter deals with the structural and operational correlation between biological systems and network systems. Initially, it discusses how the network domain can be compared to biological systems. Later it discusses the models developed in this regard.
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Artificial Neural Network,ns have numeric weights that can be tuned in view of experience, making neural networks versatile to inputs and fit for learning. The chapter provides details on the ANN and how these frameworks have tackled numerous issues for computer engineers.
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Genetic Algorithms,spread their hereditary material. This chapter provides details of how genetic algorithms work and the way they are used in computer networks for solving issues such as sensor networks, traveling salesman problem, etc.
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,Fuel Cell Systems for Rail Applications: Development?Trends and Challenges,y complete a daily schedule defined by the train operator. Improving the energy management for a particular train route can effectively reduce overall energy consumption. Furthermore, a majority of a fuel cell system’s waste heat can be utilized to heat the passenger compartment at low ambient tempe
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Book 2015tics to convey the union of self with nature, others and the universe. The investigation is a case study of the writings and paintings of Jizi, an ink-wash artist in Beijing, who combines images of icy mountains, Tibetan landscapes, cosmic vistas, and enclosures of personal existence. Jizi’s success




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