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INTelligence

  • Artificial+INTelligence

    The current methods of communications are becoming less relevant under today’s growing demand for and reliance on constant connectivity. Of decreasing relevance are the models of a single radio to perform a single task. The expansion of wireless access points among coffee shops, airports, malls, and other public arenas is opening up opportunities for new services and applications.

    標簽: INTelligence Artificial

    上傳時間: 2020-05-26

    上傳用戶:shancjb

  • Cognitive+Wireless+Network

    Cognitive radio has emerged as a promising technology for maximizing the utiliza- tion of the limited radio bandwidth while accommodating the increasing amount of services and applications in wireless networks. A cognitive radio (CR) transceiver is able to adapt to the dynamic radio environment and the network parameters to maximize the utilization of the limited radio resources while providing flexibility in wireless access. The key features of a CR transceiver are awareness of the radio envi- ronment (in terms of spectrum usage, power spectral density of transmitted/received signals, wireless protocol signaling) and INTelligence

    標簽: Cognitive Wireless Network

    上傳時間: 2020-05-26

    上傳用戶:shancjb

  • Cooperation in Wireless Networks

    Cooperation has been the subject of intensive study in the social and biological sciences, as well as in mathematics and artificial INTelligence. The fundamental finding is that even egoists can sustain cooperation provided the structure of their environment allows for repeated interactions (Axelrod 1984).

    標簽: Cooperation Wireless Networks in

    上傳時間: 2020-05-27

    上傳用戶:shancjb

  • The+digital+dilemma

    The digital dilemma: Telecoms fi rms prepare for the future is an Economist INTelligence Unit (EIU) report commissioned by WIPRO. The report strives to identify the key issues that companies within the telecoms sector are facing as they attempt to reshape their businesses to compete in a more digitised world.

    標簽: digital dilemma The

    上傳時間: 2020-06-01

    上傳用戶:shancjb

  • Computational+INTelligence

    The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy networks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies applied to the electric grid, providing sustainable options to customers and improved security. Advances in research on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the network components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.

    標簽: Computational INTelligence

    上傳時間: 2020-06-07

    上傳用戶:shancjb

  • Metaheuristics+for+Intelligent+Electrical+Networks

    This book is the result of works dedicated to specific applications of metaheuristics in smart electrical grids. From electric transmission, distribution networks to electric microgrids, the notion of INTelligence refers to the ability to propose acceptable solutions in an increasingly more restrictive environment. Most often, it refers to decision-making assisting tools designed to support all human action.

    標簽: Metaheuristics Intelligent Electrical Networks for

    上傳時間: 2020-06-07

    上傳用戶:shancjb

  • A Course in Machine Learning

    Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial INTelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn. Machine learning is also fascinating in its own right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.

    標簽: Learning Machine Course in

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • AI-and-Robotics-IBA-GEI-April-2017

    Modern information technologies and the advent of machines powered by artificial INTelligence (AI) have already strongly influenced the world of work in the 21st century. Computers, algorithms and software simplify everyday tasks, and it is impossible to imagine how most of our life could be managed without them. However, is it also impossible to imagine how most process steps could be managed without human force? The information economy characterised by exponential growth replaces the mass production industry based on economy of scales

    標簽: AI-and-Robotics-IBA-GEI-April 2017

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Artificial+INTelligence+for+Marketing

    Forewords to books can play a variety of roles. One is to describe in more general terms what the book is about. That’s not really neces- sary, since Jim Sterne is a master at communicating complex topics in relatively simple terms.

    標簽: INTelligence Artificial Marketing for

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Computational+INTelligence

    The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy networks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies applied to the electric grid, providing sustainable options to customers and improved security. Advances in research on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the network components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.

    標簽: Computational INTelligence

    上傳時間: 2020-06-10

    上傳用戶:shancjb

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