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Titlebook: Modern Electrochemistry 2A; Fundamentals of Elec John O’M. Bockris,Amulya K. N. Reddy,Maria Gamboa- Book 2000Latest edition Springer-Verlag

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Florin Curta,Iurie Stamatievitably, such a lively field of scholarship produces contradictions; arguments with current doxa and attempts to construct new models are what makes scholarship lively. So Woolf emerges from different texts as the most political of writers or a writer wholly unpossessed of a political mind, as embe
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Deep Learning Opportunities for Resource Management in Cognitive Radio Networksnitive radio networks are being developed to employ artificial intelligence strategies for dynamic spectrum sensing and decision-making processes in order to achieve optimum and accurate decisions. Contrary to traditional wireless communications, learning goal-directed behaviour in dynamic and distr
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On Locational Commonalities of Largest Cities Worldwide the largest cities of countries are rarely places of geographic extremes; they are seldom found at high elevations, far away from the seashore, or in extremely cold or extremely hot areas. This location ordinariness of main cities may be, in fact, essential to their centrality, by making them attra
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A Survey on Deep Learning Architectures in Human Activities Recognition Application in Sports Science, Healthcare, and Securityment unit (IMU)) or visual sensors (i.e., cameras). Then, the collected data is labelled with human activities. In turn, the data is used to train machine learning (ML) or deep learning (DL) models. HAR systems are widely used in different applications such as security, healthcare, the Internet of T
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A Practical and Cost-Effective Approach to Efficient Traffic Grooming in WDM Mesh Networksties. We also present an algorithm for efficient traffic grooming with this new architecture. We justify the need for this new algorithm by imposing our node architecture on existing algorithms and comparing with them through a wide range of simulations.
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Main Findings and Research Outlook,d action segments and anomalous segments due to its boundary condition constraints. The performance of the two techniques has been tested on a complex aperiodic human action dataset with Warm up exercise sequences that we developed from correct and incorrect executions by multiple people. The propos
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