This research explores the potential of Machine Learning (ML) to enhance wireless communication networks, specifically in context Wireless Smart Grid Networks (WSGNs). We integrated ML into well-established Routing Protocol for Low-Power and Lossy (RPL), resulting an advanced version called ML-RPL. novel protocol utilizes CatBoost, a Gradient Boosted Decision Trees (GBDT) algorithm, optimize ro...

Abstract. Peatlands store large amounts of soil carbon and freshwater, constituting an important component the global hydrologic cycles. Accurate information on extent distribution peatlands is presently lacking but needed by Earth system models (ESMs) to simulate effects climate change balance. Here, we present Peat-ML, a spatially continuous map peatland fractional coverage generated using ma...

Number of employees are increases with growing in companies. Firms basically make salary for their order not to lose talents and moreover increase them. Although there is much problem how in-crease the small organizations, this process should be carried out carefully terms many parameters large organizations result negativities that may disrupt employee motivation. For companies a number employ...

We present an overview of machine learning (ML) techniques and their application in interactive music and new digital instrument design. We first provide the non-specialist reader an introduction to two ML tasks, classification and regression, that are particularly relevant for gestural interaction. We then present a review of the literature in current NIME research that uses ML in musical gest...