Results 81 to 90 of about 16,939 (236)
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
DETECTING FAKE JOB POSTINGS USING BIDIRECTIONAL LSTM
International Research Journal of Modernization in Engineering Technology and Science, 2023 Fake job postings have become prevalent in the online job market, posing significant challenges to job seekers and employers. Despite the growing need to address this problem, there is limited research that leverages deep learning techniques for the detection of fraudulent job advertisements. This study aims to fill the gap by employing a Bidirectional
openaire +2 more sources
Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang +7 more
wiley +1 more source
Bidirectional LSTM approach to image captioning with scene features
, 2020 Generating sentence descriptions for images is an area of research combining computer vision and natural language processing. More recently, it has been driven by encoder decoder deep learning approaches where visual features are learned with a ...
Agughalam, Davis Munachimso
core
, 2022 The human inner perception is the core technology for human‐robot interactions. Emotion recognition has been established as a representative study for recognising the internal state of human beings in addition to research regarding intention recognition.
Dong‐Hyun Kang +2 more
core +1 more source
Scientific ReportsIdentifying and recognizing the food on the basis of its eating sounds is a challenging task, as it plays an important role in avoiding allergic foods, providing dietary preferences to people who are restricted to a particular diet, showcasing its ...
Yogesh Kumar +5 more
doaj +1 more source
Implementation of a novel technique for DNA sequence analysis using Machine Learning, Deep Learning and hybrid frameworks [PDF]
Revista Română de Informatică și AutomaticăCurrent research relies significantly on DNA sequencing. It enables the advancement of a wide range of disciplines, including genomics, metagenomics, and phylogeny. DNA sequencing involves extracting and interpreting DNA strands.
Kshatrapal SINGH +1 more
doaj +1 more source
Gender identification for Egyptian Arabic dialect in twitter using deep learning models
Egyptian Informatics Journal, 2020 Although the number of Arabic language writers in social media is increasing, the research work targeting Author Profiling (AP) is at the initial development phase.
Shereen ElSayed, Mona Farouk
doaj +1 more source
Deep Underground Science and Engineering, EarlyView.The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Emotion Analysis Using a Bidirectional LSTM for Word Sense Disambiguation
, 2020 최근, SNS(Social Network Service) 이용률이 늘어남에 따라 많은 사람들이 SNS 상에서 자신의 일상과 감정을 공유하고 심리를 표출하고 있다. SNS 사용자의 감정을 이해할 수 있다면 활용할 수 있는 기회가 많으며, 현재 각 기업은 감정을 소비 욕구로 연결시키고자 하는 적극적 마케팅 활동을 펼치고 있다. 이렇듯, 감정을 이해하는 일은 중요하며, 관련 연구도 끊임없이 등장하는 추세이다. 감정은 인간이 느끼는 심리적인 상태로 기쁨,
기호연
core