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

The performance of a machine learning model in predicting accelerometer-derived walking speed

机器学习模型在预测加速度计测得的步行速度方面的性能

期刊:Heliyon
影响因子:3.6
doi:10.1016/j.heliyon.2025.e42185
Logacjov, Aleksej; Ludvigsen, Tonje Pedersen; Bach, Kerstin; Kongsvold, Atle; Flaaten, Mats; Lund Nilsen, Tom Ivar; Mork, Paul Jarle
发表日期：2025
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Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT Study

步行、跑步和骑自行车对青少年和成年人中高强度身体活动和总体力活动的贡献（跨季节和季节内）：来自挪威 HUNT 研究的横断面数据

期刊:BMJ Open Sport & Exercise Medicine
影响因子:3.2
doi:10.1136/bmjsem-2024-002394
Kongsvold, Atle; Flaaten, Mats; Skarpsno, Eivind Schjelderup; Logacjov, Aleksej; Bach, Kerstin; Lund Nilsen, Tom Ivar; Mork, Paul Jarle
发表日期：2025
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A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information

基于加速度计、皮肤温度和情境信息的睡眠和觉醒预测机器学习模型

期刊:Nature and Science of Sleep
影响因子:3.4
doi:10.2147/NSS.S452799
Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Kongsvold, Atle; Bach, Kerstin; Mork, Paul Jarle
发表日期：2024
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Validation of two novel human activity recognition models for typically developing children and children with Cerebral Palsy

验证两种新型人体活动识别模型在正常发育儿童和脑瘫儿童中的适用性

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0308853
Tørring, Marte Fossflaten; Logacjov, Aleksej; Brændvik, Siri Merete; Ustad, Astrid; Roeleveld, Karin; Bardal, Ellen Marie
发育与干细胞
神经科学
发表日期：2024
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Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot

从过去学习、现在学习到中间的每一秒：利用模拟人形机器人进行终身学习

期刊:Frontiers in Neurorobotics
影响因子:2.8
doi:10.3389/fnbot.2021.669534
Logacjov, Aleksej; Kerzel, Matthias; Wermter, Stefan
Human
发表日期：2021
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