A NOVEL HYBRID DEEP LEARNING ICHOA-CNN-LSTM MODEL FOR MODALITY-ENRICHED AND MULTILINGUAL EMOTION RECOGNITION IN SOCIAL MEDIA

A novel hybrid deep learning IChOA-CNN-LSTM model for modality-enriched and multilingual emotion recognition in social media

Abstract In the rapidly evolving field of artificial intelligence, the importance of multimodal sentiment analysis has never been more evident, especially amid the ongoing COVID-19 pandemic.Our research addresses the critical need to understand public sentiment across various dimensions of this crisis by integrating data from multiple modalities, s

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Atmospheric Disturbance Modelling for a Piloted Flight Simulation Study of Airplane Safety Envelope over Complex Terrain

A concept of a new energy management system synthesizing meteorological and orographic influences on airplane safety envelope was developed and implemented at the ZHAW Centre for Aviation.A corresponding flight simulation environment was built in a Research and Didactics Simulator (ReDSim) to test the first implementation of the cockpit display sys

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Assessing the Digital Advancement of Public Health Systems Using Indicators Published in Gray Literature: Narrative Review

BackgroundRevealing the full potential of digital public health (DiPH) systems requires a wide-ranging tool to assess their maturity and readiness for emerging technologies.Although a variety of indices exist to assess digital health systems, questions arise about the inclusion of indicators of information and communications technology maturity and

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