DBPFNET: A DOUBLE BRANCH PARALLEL FUSION NEURAL NETWORK METHOD FOR LAND SUBSIDENCE SUSCEPTIBILITY MAPPING WITH INSAR OBSERVATION DATA

DBPFNet: a double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data

Current machine learning methods for land subsidence susceptibility mapping (LSSM) predominantly focus on the spatial features of land subsidence conditioning factors (LSCFs), overlooking the sequence relationships that merger after the superposition of these factors.This often leads to unreliable LSSM results.To address this limitation, this paper

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Development and experiences of an internet-based acceptance and commitment training (I-ACT) intervention in ice hockey players: a qualitative feasibility study

Internet-based psychological interventions have increased the accessibility of evidence-based treatments in clinical psychology but are still an unexplored delivery format in sport Primers psychology research.This study describes the development and evaluates the experiences of an internet-based acceptance and commitment therapy/training (I-ACT) in

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