ENERGY-EFFICIENT EDGE AND CLOUD IMAGE CLASSIFICATION WITH MULTI-RESERVOIR ECHO STATE NETWORK AND DATA PROCESSING UNITS

Energy-Efficient Edge and Cloud Image Classification with Multi-Reservoir Echo State Network and Data Processing Units

In an era dominated by Internet of Things (IoT) devices, software-as-a-service (SaaS) platforms, and rapid advances in cloud and edge computing, the demand for efficient and lightweight models suitable for resource-constrained devices such as data processing units (DPUs) has surged.Traditional deep learning models, such as convolutional neural netw

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Phytochemical Characterization of Citrus-Based Products Supporting Their Antioxidant Effect and Sensory Quality

The increasing attention on the impact of food on human and environmental health has led to a greater kelley coures evansville awareness about nutrition, food processing, and food waste.In this perspective, the present work deals with the investigation of the chemical non-volatile and volatile profiles of two Citrus-based products, produced through

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Stock Market Prediction Using Deep Reinforcement Learning

Stock value prediction and trading, a captivating and complex research domain, continues to draw heightened attention.Ensuring profitable returns in stock sound anchor adj2 market investments demands precise and timely decision-making.The evolution of technology has introduced advanced predictive algorithms, reshaping investment strategies.Essentia

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Antibody responses in blood and saliva post COVID-19 bivalent booster do not reveal an Omicron BA.4/BA.5- specific response

IntroductionCurrent SARS-CoV-2 strains continue to mutate and attempt to evade 27 inch cruiser board the antibody response elicited by previous exposures and vaccinations.In September of 2022, the first updated SARS-CoV-2 vaccines, designed to create immune responses specific for the variants circulating in 2022, were approved.These new vaccines, k

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