machine learning approach Latest Research Papers

Automated newborn cry diagnostic system using machine learning approach

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.103434 ◽

2022 ◽

Vol 73 ◽

pp. 103434

Author(s):

Fatemeh Salehian Matikolaie ◽

Yasmina Kheddache ◽

Chakib Tadj

Keyword(s):

Machine Learning ◽

Diagnostic System ◽

Learning Approach ◽

Machine Learning Approach

Novel machine learning approach for shape-finding design of tree-like structures

Computers & Structures ◽

10.1016/j.compstruc.2021.106731 ◽

2022 ◽

Vol 261-262 ◽

pp. 106731

Author(s):

Wenfeng Du ◽

Yannan Zhao ◽

Yingqi Wang ◽

Hui Wang ◽

Mijia Yang

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Machine Learning Approach

Spatio-temporal mapping of soil water storage in a semi-arid landscape of northern Ghana – A multi-tasked ensemble machine-learning approach

Geoderma ◽

10.1016/j.geoderma.2021.115691 ◽

2022 ◽

Vol 410 ◽

pp. 115691

Author(s):

K.A. Nketia ◽

S.B. Asabere ◽

A. Ramcharan ◽

S. Herbold ◽

S. Erasmi ◽

...

Keyword(s):

Machine Learning ◽

Soil Water ◽

Water Storage ◽

Northern Ghana ◽

Soil Water Storage ◽

Learning Approach ◽

Ensemble Machine Learning ◽

Machine Learning Approach ◽

Spatio Temporal ◽

Semi Arid

Spatio-temporal distribution of sea-ice thickness using a machine learning approach with Google Earth Engine and Sentinel-1 GRD data

Remote Sensing of Environment ◽

10.1016/j.rse.2021.112851 ◽

2022 ◽

Vol 270 ◽

pp. 112851

Author(s):

Roghayeh Shamshiri ◽

Egil Eide ◽

Knut Vilhelm Høyland

Keyword(s):

Machine Learning ◽

Sea Ice ◽

Temporal Distribution ◽

Google Earth ◽

Ice Thickness ◽

Learning Approach ◽

Sea Ice Thickness ◽

Machine Learning Approach ◽

Google Earth Engine ◽

Spatio Temporal

Secured and Privacy-Based IDS for Healthcare Systems on E-Medical Data Using Machine Learning Approach

International Journal of Reliable and Quality E-Healthcare ◽

10.4018/ijrqeh.289175 ◽

2022 ◽

Vol 11 (3) ◽

pp. 1-11

Author(s):

Sudhakar Sengan ◽

Osamah Ibrahim Khalaf ◽

Vidya Sagar P. ◽

Dilip Kumar Sharma ◽

Arokia Jesu Prabhu L. ◽

...

Keyword(s):

Machine Learning ◽

Detection System ◽

Attack Detection ◽

Time Interval ◽

Detection Accuracy ◽

Data Traffic ◽

Probability Of False Alarm ◽

Healthcare Data ◽

Flooding Attacks ◽

Machine Learning Approach

Existing methods use static path identifiers, making it easy for attackers to conduct DDoS flooding attacks. Create a system using Dynamic Secure aware Routing by Machine Learning (DAR-ML) to solve healthcare data. A DoS detection system by ML algorithm is proposed in this paper. First, to access the user to see the authorized process. Next, after the user registration, users can compare path information through correlation factors between nodes. Then, choose the device that will automatically activate and decrypt the data key. The DAR-ML is traced back to all healthcare data in the end module. In the next module, the users and admin can describe the results. These are the outcomes of using the network to make it easy. Through a time interval of 21.19% of data traffic, the findings demonstrate an attack detection accuracy of over 98.19%, with high precision and a probability of false alarm.

Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes

Agricultural and Forest Meteorology ◽

10.1016/j.agrformet.2021.108777 ◽

2022 ◽

Vol 314 ◽

pp. 108777

Author(s):

Songyan Zhu ◽

Robert Clement ◽

Jon McCalmont ◽

Christian A. Davies ◽

Timothy Hill

Keyword(s):

Machine Learning ◽

Carbon Dioxide ◽

Eddy Covariance ◽

Learning Approach ◽

Gap Filling ◽

Energy Fluxes ◽

Machine Learning Approach ◽

Data Gaps

A novel machine-learning approach for evaluating rebounds-associated environmental footprint of households and application to cooperative housing

Journal of Environmental Management ◽

10.1016/j.jenvman.2021.114205 ◽

2022 ◽

Vol 304 ◽

pp. 114205

Author(s):

Rhythima Shinde ◽

Andreas Froemelt ◽

Aleksandra Kim ◽

Stefanie Hellweg

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Environmental Footprint ◽

Cooperative Housing ◽

Machine Learning Approach

Identification of human errors and influencing factors: A machine learning approach

Safety Science ◽

10.1016/j.ssci.2021.105528 ◽

2022 ◽

Vol 146 ◽

pp. 105528

Author(s):

Caroline Morais ◽

Ka Lai Yung ◽

Karl Johnson ◽

Raphael Moura ◽

Michael Beer ◽

...

Keyword(s):

Machine Learning ◽

Influencing Factors ◽

Learning Approach ◽

Human Errors ◽

Machine Learning Approach

A machine learning approach for maximizing direct current power of nonlinear energy harvesting systems subjected to periodic impulse excitation

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2021.108262 ◽

2022 ◽

Vol 164 ◽

pp. 108262

Author(s):

Wen Cai ◽

Ryan L. Harne

Keyword(s):

Machine Learning ◽

Energy Harvesting ◽

Direct Current ◽

Learning Approach ◽

Machine Learning Approach ◽

Impulse Excitation ◽

Harvesting Systems ◽

Periodic Impulse ◽

Nonlinear Energy

Digital phagograms: predicting phage infectivity through a multilayer machine learning approach

Current Opinion in Virology ◽

10.1016/j.coviro.2021.12.004 ◽

2022 ◽

Vol 52 ◽

pp. 174-181

Author(s):

Cédric Lood ◽

Dimitri Boeckaerts ◽

Michiel Stock ◽

Bernard De Baets ◽

Rob Lavigne ◽

...

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Machine Learning Approach

machine learning approach
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Automated newborn cry diagnostic system using machine learning approach

Novel machine learning approach for shape-finding design of tree-like structures

Spatio-temporal mapping of soil water storage in a semi-arid landscape of northern Ghana – A multi-tasked ensemble machine-learning approach

Spatio-temporal distribution of sea-ice thickness using a machine learning approach with Google Earth Engine and Sentinel-1 GRD data

Secured and Privacy-Based IDS for Healthcare Systems on E-Medical Data Using Machine Learning Approach

Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes

A novel machine-learning approach for evaluating rebounds-associated environmental footprint of households and application to cooperative housing

Identification of human errors and influencing factors: A machine learning approach

A machine learning approach for maximizing direct current power of nonlinear energy harvesting systems subjected to periodic impulse excitation

Digital phagograms: predicting phage infectivity through a multilayer machine learning approach

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machine learning approachRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Automated newborn cry diagnostic system using machine learning approach

Novel machine learning approach for shape-finding design of tree-like structures

Spatio-temporal mapping of soil water storage in a semi-arid landscape of northern Ghana – A multi-tasked ensemble machine-learning approach

Spatio-temporal distribution of sea-ice thickness using a machine learning approach with Google Earth Engine and Sentinel-1 GRD data

Secured and Privacy-Based IDS for Healthcare Systems on E-Medical Data Using Machine Learning Approach

Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes

A novel machine-learning approach for evaluating rebounds-associated environmental footprint of households and application to cooperative housing

Identification of human errors and influencing factors: A machine learning approach

A machine learning approach for maximizing direct current power of nonlinear energy harvesting systems subjected to periodic impulse excitation

Digital phagograms: predicting phage infectivity through a multilayer machine learning approach

machine learning approach
Recently Published Documents