Background Therapeutic mammaplasty, which combines breast reduction and mastopexy
techniques with tumour excision, may extend the boundaries of breast-conserving surgery and …

Multi-target regression (MTR) is an exciting area of machine learning where the challenge is
to predict the values of more than one target variables which can take on continuous values…

BACKGROUND AND PURPOSE: Intracranial atherosclerotic disease plaque hyperintensity
and/or gadolinium contrast enhancement have been studied as imaging biomarkers of …

Ethers derived from C 5 olefin streams provide a good mix of octane-enhancing and carbon
monoxide-reducing qualities and are, therefore, being considered as a replacement for the …

Basilar perforator aneurysms are rare and a communication between a basilar perforator and
a separate pseudoaneurysm cavity is extremely rare. We describe a case presenting with …

Objective Different technical and procedural methods have been introduced to develop low
radiation dose protocols in neurointerventional examinations. We investigated the feasibility …

Both AVO modelling and acoustic impedance inversion studies have been undertaken recently
on seismic data over the Kadanwari Gas Field in an attempt to constrain the extent of the …

Transient analysis of a cross flow heat exchanger subjected to a step increase in temperature
of the minimum capacity rate fluid was considered. Predictions obtained using an implicit …

Multi Target Regression (MTR) is a machine learning method that simultaneously predicts
multiple real-valued outputs using a set of input variables. A lot of emerging applications that …

Organic carbon content of zooplankton in the Versova Creek and Thana Creek (polluted
areas), off Versova and off Mahim, Bombay, India (relatively unpolluted areas) varied …