Titlebook: Lipidomics; Volume 1: Methods an Donald Armstrong Book 2009 Humana Press 2009 Macrophages.Proteomics.Termination.bioinformatics.biological

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dy can be measured using the Internet of Things (IoT) devices that are attached to the human body. We proposed a wearable IoT devices that attached to a patient cloth that has contact with body skin directly, and then this device will continuously send a signal to the server and recorded in database

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Engy A. Mahrous,Robin B. Lee,Richard E. Leecare remote monitoring services. The wearable biosensors used by patients for remote monitoring (blood pressure, glucose level, pulse, ECG, or EEG) are based on the IoT platform hosted in the cloud. Sensitive data privacy can be achieved by anonymization in order to avoid the security risks, because

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AI), to improve public administration by the executives. The utilization of IoT permits distinguishing and revealing explicit boundaries identified with various spaces of the city, for example well-being squandered by the executives, farming, transportation, and energy. LoRa advancements, for exampl

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Giuseppe Astarita,Faizy Ahmed,Daniele Piomelliis study, the determination of regenerating solvents was made based on the response surface methodology (RSM) precisely the central composite design (CCD). The study focused on the regeneration of a low-cost adsorbent (artichoke leaves) after the treatment of a synthesized and real textile effluent.

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Igor A. Butovichl problems these days, which are due to the low availability of resources. Technologies like image processing, the Internet of Things, artificial intelligence and data mining make it easy for healthcare professionals to make diagnostic decisions. This chapter presents the idea of solving healthcare

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Timothy J. Garrett,William W. Dawson enthusiasm for that type of application arises from the fact that with the support of communication, synchronized measurements from various remote substations in a grid network can greatly enhance the accuracy and timeliness of detecting the source of uncertainties. Therefore, proper signal process

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Wooki Kim,Robert S. Chapkin,Rola Barhoumi,David W. L. Maimation with traditional methods would be huge, which will degrade the throughput severely. Thanks to the sparsity of channel model on millimeter wave band, most existing literature make use of this feature to compress the number of signaling based on the technique of compressive sensing. In this pa