IntroductionIn complex mountain basins, hydrological forecasting poses a formidable challenge due to the intricacies of runoff generation processes and the limitations of available data.This study explores the enhancement of short-term runoff forecasting models through the utilization of long short-term memory (LSTM) networks.MethodsTo achieve this
Gliomas such as oligodendrogliomas (ODG) and glioblastomas (GBM) are brain tumours with different clinical outcomes.Histology-based classification of these tumour types is often difficult.Therefore the first aim of this study was to gain microRNA data that can be used as reliable signatures of oligodendrogliomas and glioblastomas.We charcotabs inve
Pathologic tooth migration is a change in tooth position resulting from disruption of the forces charcotabs that maintain teeth in a normal position in relation to their arch.The disruption of the equilibrium in tooth position may be caused by various etiologic factors.Loss of attachment apparatus along with a non periodontal related condition such
Spike sorting, an indispensable process in the analysis of neural biosignals, aims to segregate individual action potentials from mixed recordings.This study delves into a comprehensive investigation of diverse unsupervised classification algorithms, some of which, to the best of our knowledge, have not previously been used for spike sorting.The me