In this study, we present a novel approach for music emotion recognition that utilizes a stacked ensemble of models integrating audio and lyric features within a structured song framework.Our methodology employs a sequence of six specialized base models, each designed to capture critical features from distinct song segments: verse1, chorus, and ver
Chaos and unpredictability are traditionally synonymous, yet large-scale machine-learning methods recently have demonstrated a surprising ability to forecast chaotic systems well beyond typical predictability horizons.However, recent works disagree on whether specialized methods grounded in dynamical systems theory, such as reservoir computers or n
In this paper we describe the potentialities of a tool for the visualization of experimental results directly on a three-dimensional model.The case study concerns the visualization of the results of canon imageclass mf227dw a dynamic finite element analysis (FEA/FEM) applied to the calculation of seismic risk on works belonging to the Italian infra
Social learning research in apes has focused on social learning in the technical (problem solving) domain - an approach that confounds action and physical information.Successful subjects in such studies may have been able to perform target actions not as a result of imitation learning but because they had learnt some technical aspect, for example,
Since ancient times, locusts have been hacklinkci.com serious pests wreaking havoc on settled agriculture throughout much of the world.Numerous locust practices have been developed to control infestations.This has led to most commentaries portraying locust infestations only in a negative light while focusing on finding best management practices for