Green Clustered mean Forecasting (ECMF) for Time series is a novel forecasting approach that is capable of efficaciously aggregating the underlying additives of a time collection through combining the top-primarily ba...
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Time collection clustering algorithms (TSCAs) are of increasing significance within the evaluation and interpretation of hyper spectral image (HSI) facts. TSCAs are being used to become aware of spatiotemporal styles ...
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Hyperspectral imagery is a faraway sensing fact that gives one-of-a-kind spectral reflectance measurements across the electromagnetic spectrum. This form of imagery has various uses for monitoring the environment and ...
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Cryptographic algorithms are critical in securing online transactions. They provide relaxed verbal exchange channels for fairly touchy statistics that wishes to be reliably transmitted among a couple of remote events....
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This paper presents an evaluation of the utility of cryptography for at ease Voice over net Protocol (VoIP) verbal exchange. It covers the fundamentals of secure conversation as well as elements of public key cryptogr...
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This paper explores using hyper spectral photo evaluation to discover and characterize weed species inside agricultural landscapes. By using excessive-decision hyperspectral imaging, the specific spectral fingerprints...
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This summary offers an in-intensity evaluation of a system getting-to-know approach, particularly Spectroscopic Unmixing, for target identity in hyperspectral images. This parametric and pixel-smart linear decompositi...
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This paper explores the application of game theoretic approaches to load balancing across edge nodes within distributed computing systems. Focusing on a non-cooperative game model, we aim to enhance system efficiency ...
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This paper describes the development of an advanced fuzzy logic system for directional beamforming in underwater communication systems. The fuzzy logic system utilizes a combination of fuzzy and proportional integral ...
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The challenge is focused on developing and validating techniques for making use of far flung sensors along with drones and unmanned aerial motors (UAVs) to acquire health-related information in relation to the environ...
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