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Bi-Modal Bi-Task Emotion Recognition Based on Transformer Architecture
Bi-Modal Bi-Task Emotion Recognition Based on Transformer Architecture
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Bi-Modal Bi-Task Emotion Recognition Based on Transformer Architecture

Song, Yu ; Zhou, Qi

Applied artificial intelligence, 2024-12, Vol.38 (1) [Periódico revisado por pares]

Taylor & Francis Group

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2
Ni-PI-Ni based nanoarchitectonics near-perfect metamaterial absorber with incident angle stability for visible and near-infrared applications
Ni-PI-Ni based nanoarchitectonics near-perfect metamaterial absorber with incident angle stability for visible and near-infrared applications
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Ni-PI-Ni based nanoarchitectonics near-perfect metamaterial absorber with incident angle stability for visible and near-infrared applications

Hanif, Abu ; Alam, Touhidul ; Islam, Mohammad Tariqul ; Hakim, Mohammad Lutful ; Yahya, Iskandar ; Albadran, Saleh ; Islam, Md. Shabiul ; S. Soliman, Mohamed

International journal of optomechatronics, 2024-12, Vol.18 (1) [Periódico revisado por pares]

Taylor & Francis Group

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3
STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models
STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models
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STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models

Liao, Hai ; Liang, Yan ; Chen, Song ; Xiang, Lingyun ; Chang, Zhimin ; Xiao, Yun

Applied artificial intelligence, 2024-12, Vol.38 (1) [Periódico revisado por pares]

Taylor & Francis Group

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4
Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model
Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model
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Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model

Grassini, Simone ; Aasen, Maren Linnea ; Møgelvang, Anja

Applied artificial intelligence, 2024-12, Vol.38 (1) [Periódico revisado por pares]

Taylor & Francis Group

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5
An Empirical Job Matching Model based on Expert Human Knowledge: A Mixed-Methods Approach
An Empirical Job Matching Model based on Expert Human Knowledge: A Mixed-Methods Approach
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An Empirical Job Matching Model based on Expert Human Knowledge: A Mixed-Methods Approach

Martínez-Manzanares, María Elena ; Urias-Paramo, Jordan Joel ; Waissman-Vilanova, Julio ; Figueroa-Preciado, Gudelia

Applied artificial intelligence, 2024-12, Vol.38 (1) [Periódico revisado por pares]

Taylor & Francis Group

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6
Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data
Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data
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Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data

Khattak, Afaq ; Zhang, Jianping ; Chan, Pak-Wai ; Chen, Feng

Applied artificial intelligence, 2024-12, Vol.38 (1) [Periódico revisado por pares]

Taylor & Francis Group

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7
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks
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Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks

Al-Rakhami, Mabrook S. ; AlQahtani, Salman A. ; Alawwad, Abdulaziz

Applied artificial intelligence, 2024-12, Vol.38 (1) [Periódico revisado por pares]

Taylor & Francis Group

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8
Bio-inspired tunable optics and photonics: bridging the gap between nature and technology
Bio-inspired tunable optics and photonics: bridging the gap between nature and technology
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Bio-inspired tunable optics and photonics: bridging the gap between nature and technology

Kim, Do Hyeon ; Kim, Jeong Jin ; Kong, Duk-Jo ; Lee, Gil Ju ; Song, Young Min

International journal of optomechatronics, 2024-12, Vol.18 (1) [Periódico revisado por pares]

Taylor & Francis Group

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9
Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector
Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector
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Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector

Ming, Ruixing ; Mohamad, Osama ; Innab, Nisreen ; Hanafy, Mohamed

Applied artificial intelligence, 2024-12, Vol.38 (1) [Periódico revisado por pares]

Taylor & Francis Group

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10
Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment
Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment
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Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment

Arvaneh, Fatemeh ; Zarafshan, Faraneh ; Karimi, Abbas

Applied artificial intelligence, 2024-12, Vol.38 (1) [Periódico revisado por pares]

Taylor & Francis Group

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