Titlebook: Synaptic Plasticity and Transsynaptic Signaling; Patrick K. Stanton,Clive Bramham,Helen E. Scharfma Book 2005 Springer-Verlag US 2005 Cort

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U. Heinemann,D. Albrecht,A. Behr,D. von Haebler,T. Gloveli of the proposed method is that it does not need a large matrix of calibration data, which needs to be stored in a look-up table or converted into a correction formula, but instead it uses a step-by-step approach to correct the sensor transfer at each calibration measurement until the error is suffi

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Stefan Titz,Ulrich Misgeld of the proposed method is that it does not need a large matrix of calibration data, which needs to be stored in a look-up table or converted into a correction formula, but instead it uses a step-by-step approach to correct the sensor transfer at each calibration measurement until the error is suffi

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Christopher J. Frederickson,Michal Hershfinkel,Leonard J. Giblin for smart sensors in smart cities for remote control technologies. The smart temperature sensors are elaborated in detail. The applications of smart temperature sensors in smart cities also discussed with examples such as water management system, energy conservation, street lighting system and wast

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Jade-Ming Jeng,Stefano L. Sensi platforms and robotic process automation. Machine Learning (ML) has been propelled as an exclusive technique for AI. ML can be demarcated as the learning procedures for enhancement of computer models that can augment the act of systems. Recently, use of ML technologies in automation of health care

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Helen E. Scharfmanurther. The open issues that need to be investigated in future are addressed and future applications of SSNs are identified. This paper can be a guiding light for the new researchers entering the domain of SSNs by giving a detailed survey on the developments in the field in the last decade.

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Pablo E. Castillo,Vivien Chevaleyrece, such as reasoning, perception of the environment and the analysis ability for decision making, which can be aimed at the industry in processes automation taking advantage of intelligent machine learning. This implies perceiving variables, making decisions, and solving problems, i.e., operating i