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Possibilities of Improving Pilot's Situational Awareness Through the Shaping of the Human-Machine Interface in Military Aircraft Cockpits

Journal of Konbin

Quality

English

Severity Analysis of Cervical Cancer in Pap Smear Images by Using EEETCM, ERSTCM & CFE Method Based Texture Features and Hybrid Kernel Based Support Vector Machine Classifier.

International Journal of Advanced Research

2016

English

Adrenal Incidentaloma: Machine Learning-Based Quantitative Texture Analysis of Unenhanced CT Can Effectively Differentiate sPHEO From Lipid-Poor Adrenal Adenoma

Journal of Cancer

Oncology

2018

English

Feature Selection Using Parallel Genetic Algorithm for the Prediction of Geometric Mean Diameter of Soil Aggregates by Machine Learning Methods

Arid Land Research and Management

Soil Science

2014

English

Supervised Machine Learning for Classification of the Electrophysiological Effects of Chronotropic Drugs on Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes

PLoS ONE

Multidisciplinary

2015

English

David Charles Sloane and Beverlie Conant Sloane, Medicine Moves to the Mall, Center Books on Space, Place and Time, Baltimore and London, Johns Hopkins University Press, 2003, Pp. Xiii, 198, Illus., £29.50 (Hardback 0-8018-7064-X).

English

Two for the Coffee Table Frontiers of Life: Animals of Mountains and Poles, by Joseph Lucas, Susan Hayes and Bernard Stonehouse (London, Aldus Books Ltd, 1976, 144 P, Illus, £3.95) Winter Birds by M. A. Ogilvie (London, Michael Joseph, 1976, 224 P, Illus, £5.75).

English

Composite Materials: Effect of Constituent Materials on Composite Performance: Exploring Design Strategies via Machine Learning (Adv. Theory Simul. 6/2019)

Advanced Theory and Simulations

English

Efforts in Improving Overall Equipment Effectiveness (OEE) of Weaving Machine in Tire Cord Division at Tire Manufacturing Company in Indonesia

International Journal of Science and Research (IJSR)

2016

English

An Improved Low-Power Measurement of Ambient NO<sub>2</sub> And O<sub>3</Sub> Combining Electrochemical Sensor Clusters and Machine Learning

Atmospheric Measurement Techniques

Atmospheric Science

2019

English

Amanote Research

Discover open access scientific publications

Search, annotate, share and cite publications

Possibilities of Improving Pilot's Situational Awareness Through the Shaping of the Human-Machine Interface in Military Aircraft Cockpits

Severity Analysis of Cervical Cancer in Pap Smear Images by Using EEETCM, ERSTCM & CFE Method Based Texture Features and Hybrid Kernel Based Support Vector Machine Classifier.

Adrenal Incidentaloma: Machine Learning-Based Quantitative Texture Analysis of Unenhanced CT Can Effectively Differentiate sPHEO From Lipid-Poor Adrenal Adenoma

Feature Selection Using Parallel Genetic Algorithm for the Prediction of Geometric Mean Diameter of Soil Aggregates by Machine Learning Methods

Supervised Machine Learning for Classification of the Electrophysiological Effects of Chronotropic Drugs on Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes

David Charles Sloane and Beverlie Conant Sloane, Medicine Moves to the Mall, Center Books on Space, Place and Time, Baltimore and London, Johns Hopkins University Press, 2003, Pp. Xiii, 198, Illus., £29.50 (Hardback 0-8018-7064-X).

Two for the Coffee Table Frontiers of Life: Animals of Mountains and Poles, by Joseph Lucas, Susan Hayes and Bernard Stonehouse (London, Aldus Books Ltd, 1976, 144 P, Illus, £3.95) Winter Birds by M. A. Ogilvie (London, Michael Joseph, 1976, 224 P, Illus, £5.75).

Composite Materials: Effect of Constituent Materials on Composite Performance: Exploring Design Strategies via Machine Learning (Adv. Theory Simul. 6/2019)

Efforts in Improving Overall Equipment Effectiveness (OEE) of Weaving Machine in Tire Cord Division at Tire Manufacturing Company in Indonesia

An Improved Low-Power Measurement of Ambient NO&lt;sub&gt;2&lt;/sub&gt; And O&lt;sub&gt;3&lt;/Sub&gt; Combining Electrochemical Sensor Clusters and Machine Learning

An Improved Low-Power Measurement of Ambient NO<sub>2</sub> And O<sub>3</Sub> Combining Electrochemical Sensor Clusters and Machine Learning