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KCMC: A Hybrid Learning Approach for Network Intrusion Detection using K-means Clustering and Multiple Classifiers

International journal of computer applications, 2015-01, Vol.124 (9), p.18-23

2015

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A Novel Supervised Algorithm for Network Intrusion Detection with the Ability of Zero-day Attacks Identification

International journal of computer applications, 2015-01, Vol.121 (19), p.47-50

2015

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Artificial Intelligence and Machine Learning-Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior Research

Journal of physical activity & health, 2024-04, Vol.21 (4), p.320

2024

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Community Detection Algorithms in Healthcare Applications: A Systematic Review

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Reliability and validity of the Persian version of the Pittsburgh Sleep Quality Index (PSQI-P)

Sleep & breathing, 2012-03, Vol.16 (1), p.79-82

2012

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A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering

IEEE access, 2022, Vol.10, p.52508-52524

2022

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Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches

Gait & posture, 2019-02, Vol.68, p.285-299

2019

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Machine learning in physical activity, sedentary, and sleep behavior research

Journal of Activity, Sedentary and Sleep Behaviors, 2024-01, Vol.3 (1), Article 5

2024

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A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning

Neural networks, 2024-05, Vol.173, p.106159-106159, Article 106159

2024

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Deep learning of movement behavior profiles and their association with markers of cardiometabolic health

BMC medical informatics and decision making, 2024-03, Vol.24 (1), p.74-74, Article 74

2024

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Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms

Gait & posture, 2021-09, Vol.89, p.45-53

2021

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AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments

International journal of medical informatics (Shannon, Ireland), 2023-04, Vol.172, p.105004-105004, Article 105004

2023

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Comparison and agreement between device-estimated and self-reported sleep periods in adults

Annals of medicine (Helsinki), 2023-12, Vol.55 (1), p.2191001-2191001

2023

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An effective explainable food recommendation using deep image clustering and community detection

Intelligent systems with applications, 2022-11, Vol.16, p.200157, Article 200157

2022

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Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data

IEEE journal of biomedical and health informatics, 2020-01, Vol.24 (1), p.27-38

2020

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Correlates of physical activity behavior in adults: a data mining approach

The international journal of behavioral nutrition and physical activity, 2020-07, Vol.17 (1), p.94-14, Article 94

2020

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A novel healthy food recommendation to user groups based on a deep social community detection approach

Neurocomputing (Amsterdam), 2024-04, Vol.576, p.127326, Article 127326

2024

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Performance analysis of modified BCube topologies for virtualized data center networks

Computer communications, 2016-12, Vol.96, p.52-61

2016

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Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement

International journal of computational intelligence systems, 2022-12, Vol.15 (1), p.1-24, Article 105

2022

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Accumulation patterns of sedentary time and breaks and their association with cardiometabolic health markers in adults

Scandinavian journal of medicine & science in sports, 2021-07, Vol.31 (7), p.1489-1507

2021

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Associations of accelerometer-estimated free-living daily activity impact intensities with 10-year probability of osteoporotic fractures in adults

Gait & posture, 2024-07, Vol.112, p.22-32

2024

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COMPOSITIONAL ASSOCIATIONS OF SLEEP AND ACTIVITIES WITHIN THE 24-H CYCLE WITH CARDIOMETABOLIC HEALTH MARKERS IN ADULTS

Medicine and science in sports and exercise, 2021-02, Vol.53 (2), p.324-332

2021

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A Monte-Carlo approach to lifespan failure performance analysis of the network fabric in modular data centers

Journal of network and computer applications, 2017-06, Vol.87, p.131-146

2017

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Association between time-of-day for eating, exercise, and sleep with blood pressure in adults with elevated blood pressure or hypertension: a systematic review

Journal of hypertension, 2024-06, Vol.42 (6), p.951

2024

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Replacing sedentary time with physical activity and sleep: Associations with cardiometabolic health markers in adults

Scandinavian journal of medicine & science in sports, 2023-06, Vol.33 (6), p.907-920

2023

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KCMC: A Hybrid Learning Approach for Network Intrusion Detection using K-means Clustering and Multiple Classifiers

A Novel Supervised Algorithm for Network Intrusion Detection with the Ability of Zero-day Attacks Identification

Artificial Intelligence and Machine Learning-Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior Research

Community Detection Algorithms in Healthcare Applications: A Systematic Review

Reliability and validity of the Persian version of the Pittsburgh Sleep Quality Index (PSQI-P)

A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering

Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches

Machine learning in physical activity, sedentary, and sleep behavior research

A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning

Deep learning of movement behavior profiles and their association with markers of cardiometabolic health

Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms

AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments

Comparison and agreement between device-estimated and self-reported sleep periods in adults

An effective explainable food recommendation using deep image clustering and community detection

Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data

Correlates of physical activity behavior in adults: a data mining approach

A novel healthy food recommendation to user groups based on a deep social community detection approach

Performance analysis of modified BCube topologies for virtualized data center networks

Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement

Accumulation patterns of sedentary time and breaks and their association with cardiometabolic health markers in adults

Associations of accelerometer-estimated free-living daily activity impact intensities with 10-year probability of osteoporotic fractures in adults

COMPOSITIONAL ASSOCIATIONS OF SLEEP AND ACTIVITIES WITHIN THE 24-H CYCLE WITH CARDIOMETABOLIC HEALTH MARKERS IN ADULTS

A Monte-Carlo approach to lifespan failure performance analysis of the network fabric in modular data centers

Association between time-of-day for eating, exercise, and sleep with blood pressure in adults with elevated blood pressure or hypertension: a systematic review

Replacing sedentary time with physical activity and sleep: Associations with cardiometabolic health markers in adults

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