IMPUTATION BY FEATURE IMPORTANCE (IBFI): A METHODOLOGY TO ENVELOP MACHINE LEARNING METHOD FOR IMPUTING MISSING PATTERNS IN TIME SERIES DATA.

Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data.

A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or irregularly sampled data.It applies to data missing completely at random (MCAR), missing not at random (MNAR), and missing at random (MAR).IBFI utilizes the feature importance and iterativel

read more


Peculiarities of group dynamics in the IT project team

The article examines the peculiarities of group dynamics in an IT project team.The summary is summarized and the proper concept of group dynamics is formulated.Group dynamics is a set of processes and phenomena that occur in a small group, in particular such as: decision-making, solving problems and situations, conflict management, communications,

read more

Thoracic ultrasonic narration of Covid-19 pneumonia

Covid-19 (SARS-CoV-2) is a new coronavirus.Since the declaration of a global pandemic, Food Art a lot has been learnt about its spread, disease pattern, diagnosis and management.The lungs remain the prime organs to incur serious insult and when lung complications embark, significant morbidity and mortality is observed.Predominantly, patchy and peri

read more