Frontiers in Artificial Intelligence

Original Research

Published on 01 Aug 2024

Real-time temperature anomaly detection in vaccine refrigeration systems using deep learning on a resource-constrained microcontroller

Mokhtar Harrabi
Abdelaziz Hamdi
Bouraoui Ouni
Jamel Bel Hadj Tahar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1429602

3,814 views
2 citations

Original Research

Published on 31 Jul 2024

A unified Foot and Mouth Disease dataset for Uganda: evaluating machine learning predictive performance degradation under varying distributions

Geofrey Kapalaga
Florence N. Kivunike
Susan Kerfua
Daudi Jjingo
Savino Biryomumaisho
Justus Rutaisire
Paul Ssajjakambwe
Swidiq Mugerwa
Yusuf Kiwala

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1446368

6,919 views
4 citations

Review

Published on 25 Jul 2024

Multimodal data integration for oncology in the era of deep neural networks: a review

Asim Waqas
Aakash Tripathi
Ravi P. Ramachandran
Paul A. Stewart
Ghulam Rasool

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1408843

20,124 views
85 citations

Original Research

Published on 25 Jul 2024

Doctor AI? A pilot study examining responses of artificial intelligence to common questions asked by geriatric patients

Ian Moore
Christopher Magnante
Ellie Embry
Jennifer Mathis
Scott Mooney
Shereen Haj-Hassan
Maria Cottingham
Prasad R. Padala

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1438012

4,440 views
7 citations

Review

Published on 23 Jul 2024

From outputs to insights: a survey of rationalization approaches for explainable text classification

Erick Mendez Guzman
Viktor Schlegel
Riza Batista-Navarro

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1363531

2,864 views
2 citations

Review

Published on 23 Jul 2024

Applied artificial intelligence in dentistry: emerging data modalities and modeling approaches

Balazs Feher
Camila Tussie
William V. Giannobile

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1427517

10,005 views
30 citations

Hypothesis and Theory

Published on 19 Jul 2024

One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift

Fabian Hinder
Valerie Vaquet
Barbara Hammer

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1330258

5,057 views
9 citations

Original Research

Published on 16 Jul 2024

Multi-scale dynamics by adjusting the leaking rate to enhance the performance of deep echo state networks

Shuichi Inoue
Sou Nobukawa
Haruhiko Nishimura
Eiji Watanabe
Teijiro Isokawa

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1397915

3,155 views
3 citations

Original Research

Published on 16 Jul 2024

Does personality matter: examining the value of personality insights for personalized nudges that encourage the selection of learning resources

Pedro Cardenas Canto
Vania Dimitrova
Stuart Sherman
Stuart W. Flint

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1211142

3,131 views
1 citation

Methods

Published on 10 Jul 2024

SATS: simplification aware text summarization of scientific documents

Farooq Zaman
Faisal Kamiran
Matthew Shardlow
Saeed-Ul Hassan
Asim Karim
Naif Radi Aljohani

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1375419

3,644 views
2 citations

Original Research

Published on 08 Jul 2024

Development and validation of an interpretable machine learning for mortality prediction in patients with sepsis

Bihua He
Zheng Qiu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1348907

4,366 views
5 citations

Original Research

Published on 05 Jul 2024

Generating rhythm game music with jukebox

Nicholas Yan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1296034

3,371 views
2 citations

Original Research

Published on 04 Jul 2024

Bayesian reinforcement learning for navigation planning in unknown environments

Mohammad Alali
Mahdi Imani

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1308031

3,596 views
3 citations

Original Research

Published on 03 Jul 2024

The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

Saifullah Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1236947

5,433 views
10 citations

Systematic Review

Published on 03 Jul 2024

Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases

Ahtisham Fazeel Abbasi
Muhammad Nabeel Asim
Sheraz Ahmed
Sebastian Vollmer
Andreas Dengel

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1428501

6,724 views
11 citations

Methods

Published on 02 Jul 2024

ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory

Wael Alosaimi
Hager Saleh
Ali A. Hamzah
Nora El-Rashidy
Abdullah Alharb
Ahmed Elaraby
Sherif Mostafa

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1408845

8,202 views
11 citations

Editorial

Published on 01 Jul 2024

Editorial: Artificial intelligence education & governance -human enhancive, culturally sensitive and personally adaptive HAI

Rajiv Kashyap
Yana Samuel
Linda Weiser Friedman
Jim Samuel

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1443386

4,097 views
8 citations

Original Research

Published on 28 Jun 2024

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography

Sushant Agarwal
Sanjay Saxena
Alessandro Carriero
Gian Luca Chabert
Gobinath Ravindran
Sudip Paul
John R. Laird
Deepak Garg
Mostafa Fatemi
Lopamudra Mohanty

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1304483

5,083 views
3 citations

Brief Research Report

Published on 28 Jun 2024

HAWKFOG-an enhanced deep learning framework for the Fog-IoT environment

R. Abirami
Poovammal E

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1354742

2,305 views
2 citations

Original Research

Published on 27 Jun 2024

Wearable sensors based on artificial intelligence models for human activity recognition

Mohammed Alarfaj
Azzam Al Madini
Ahmed Alsafran
Mohammed Farag
Slim Chtourou
Ahmed Afifi
Ayaz Ahmad
Osama Al Rubayyi
Ali Al Harbi
Mustafa Al Thunaian

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1424190

4,396 views
4 citations

Editorial

Published on 25 Jun 2024

Editorial: Trends in AI4ESG: AI for sustainable finance and ESG technology

Peter Schwendner
Jan-Alexander Posth

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1448045

2,961 views
3 citations

Policy and Practice Reviews

Published on 25 Jun 2024

Analyzing the European institutional response to ethical and regulatory challenges of artificial intelligence in addressing discriminatory bias

Pablo Cerezo-Martínez
Alejandro Nicolás-Sánchez
Francisco J. Castro-Toledo

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1393259

5,473 views
6 citations

Original Research

Published on 24 Jun 2024

Plant leaf disease recognition based on improved SinGAN and improved ResNet34

Jiaojiao Chen
Haiyang Hu
Jianping Yang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1414274

2,011 views
3 citations

Original Research

Published on 21 Jun 2024

Training neural networks with universal adiabatic quantum computing

Steve Abel
Juan Carlos Criado
Michael Spannowsky

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1368569

2,569 views
3 citations

332 Publications

volumes

Real-time temperature anomaly detection in vaccine refrigeration systems using deep learning on a resource-constrained microcontroller

A unified Foot and Mouth Disease dataset for Uganda: evaluating machine learning predictive performance degradation under varying distributions

Multimodal data integration for oncology in the era of deep neural networks: a review

Doctor AI? A pilot study examining responses of artificial intelligence to common questions asked by geriatric patients

From outputs to insights: a survey of rationalization approaches for explainable text classification

Applied artificial intelligence in dentistry: emerging data modalities and modeling approaches

One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift

Multi-scale dynamics by adjusting the leaking rate to enhance the performance of deep echo state networks

Does personality matter: examining the value of personality insights for personalized nudges that encourage the selection of learning resources

SATS: simplification aware text summarization of scientific documents

Development and validation of an interpretable machine learning for mortality prediction in patients with sepsis

Generating rhythm game music with jukebox

Bayesian reinforcement learning for navigation planning in unknown environments

The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases

ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory

Editorial: Artificial intelligence education & governance -human enhancive, culturally sensitive and personally adaptive HAI

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography

HAWKFOG-an enhanced deep learning framework for the Fog-IoT environment

Wearable sensors based on artificial intelligence models for human activity recognition

Editorial: Trends in AI4ESG: AI for sustainable finance and ESG technology

Analyzing the European institutional response to ethical and regulatory challenges of artificial intelligence in addressing discriminatory bias

Plant leaf disease recognition based on improved SinGAN and improved ResNet34

Training neural networks with universal adiabatic quantum computing