日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Correction: Almadhor et al. Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity. Sensors 2023, 23, 6664

更正：Almadhor 等人，《基于胸部皮肤电活动的高效特征选择堆叠模型用于压力检测》，Sensors 2023, 23, 6664

期刊:Sensors
影响因子:3.5
doi:10.3390/s25247459
Almadhor, Ahmad; Sampedro, Gabriel Avelino; Abisado, Mideth; Abbas, Sidra
发表日期：2025
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Enhancing security in instant messaging systems with a hybrid SM2, SM3, and SM4 encryption framework

利用混合SM2、SM3和SM4加密框架增强即时通讯系统的安全性

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0332665
Lu, He-Jun; Juanatas, Roben A; Abisado, Mideth B
发表日期：2025
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Privacy preserved and decentralized thermal comfort prediction model for smart buildings using federated learning

基于联邦学习的智能建筑隐私保护型去中心化热舒适度预测模型

期刊:PeerJ Computer Science
影响因子:2.5
doi:10.7717/peerj-cs.1899
Abbas, Sidra; Alsubai, Shtwai; Sampedro, Gabriel Avelino; Abisado, Mideth; Almadhor, Ahmad; Kim, Tai-Hoon
发表日期：2024
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PODE: privacy-enhanced distributed federated learning approach for origin-destination estimation

PODE：一种用于起讫点估计的隐私增强型分布式联邦学习方法

期刊:PeerJ Computer Science
影响因子:2.5
doi:10.7717/peerj-cs.2050
Abbas, Sidra; Sampedro, Gabriel Avelino; Almadhor, Ahmad; Abisado, Mideth; Marzougui, Mehrez; Kim, Tai-Hoon; Alasiry, Areej
发表日期：2024
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Optimizing multimodal feature selection using binary reinforced cuckoo search algorithm for improved classification performance

利用二进制强化布谷鸟搜索算法优化多模态特征选择，以提高分类性能

期刊:PeerJ Computer Science
影响因子:2.5
doi:10.7717/peerj-cs.1816
Thirugnanasambandam, Kalaipriyan; Murugan, Jayalakshmi; Ramalingam, Rajakumar; Rashid, Mamoon; Raghav, R S; Kim, Tai-Hoon; Sampedro, Gabriel Avelino; Abisado, Mideth
发表日期：2024
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Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning

基于联邦学习的腕部皮肤电活动监测用于压力检测

期刊:Sensors
影响因子:3.5
doi:10.3390/s23083984
Almadhor, Ahmad; Sampedro, Gabriel Avelino; Abisado, Mideth; Abbas, Sidra; Kim, Ye-Jin; Khan, Muhammad Attique; Baili, Jamel; Cha, Jae-Hyuk
发表日期：2023
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A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions

增材制造中基于图像的故障监测综述：最新进展与未来方向

期刊:Sensors
影响因子:3.5
doi:10.3390/s23156821
Kim, Ryanne Gail; Abisado, Mideth; Villaverde, Jocelyn; Sampedro, Gabriel Avelino
发表日期：2023
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