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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Risk stratification of adults with congenital heart disease during the COVID-19 pandemic: insights from a multinational survey among European experts

Objective Adults with congenital heart disease (ACHD) may be at a higher risk of a fatal outcome in case of COVID-19.Current risk stratification among these patients relies on personal experience and extrapolation from patients with acquired heart disease.We aimed to provide an expert view on risk stratification while awaiting results from observat

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Acute aluminium phosphide poisoning, what is new?

Aluminium phosphide (AlP) is a cheap solid fumigant and a highly toxic pesticide that is commonly used for grain preservation.AlP has currently generated interest with increasing number of cases in the past four decades because of its increased use for agricultural and nonagricultural purposes, and also its easy availability in the markets has led

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The impact of reminiscent music therapy and robot-assisted rehabilitation on older stroke patients: a protocol for a randomized controlled trial

BackgroundStroke is the main disease that causes the burden of neurological disease, leading to upper limb dysfunction and affecting their self-care abilities.Robot-assisted rehabilitation therapy has been gradually used in the rehabilitation of upper limb function after stroke.However, it would be airsoft pfp beneficial to explore auxiliary interv

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