Big Data has gained much attention from researchers in healthcare, bioinformatics, and
information sciences. As a result, data production at this stage will be 44 times greater than …

Predicting material properties by solving the Kohn-Sham (KS) equation, which is the basis of
modern computational approaches to electronic structures, has provided significant …

Abstract The use of Electrochemical Impedance Spectroscopy on rechargeable Lithium-ion
battery characterization is an extensively recognized non-destructive procedure for both in …

Impedance spectroscopy is a powerful technique and broadly used for battery
characterization. In this study, we introduce a novel machine framework we call the duplex …

In this study, we built a variety of Machine Learning (ML) systems over 23 different sizes of
CH 3 NH 3 PbI 3 perovskite nanoparticles (NPs) to predict the atoms in the NPs from their …

Machine learning (ML) has recently made a major contribution to the fields of Material
Science (MS). In this study, ML algorithms are used to learn atoms types over structural …

In the present times of big data, it is very crucial than before to utilize Random Forests for big-
scale sorting jobs in the cloud. Research reflects a scalable method to utilize the flexibility …

Bazı hastalık belirtilerinin birçok tıbbi tedavi alanıyla ilgili olması, hastaların tedavi için
randevu alırken zorlanmalarına sebep olmaktadır. Örneğin; karın ağrısı rahatsızlığı bulunan …

Stellar data, only a few years ago, measured in the. 1M of objects. Now, sets are routinely
1M. With the launch of ESA's Gaia in 2013, we expect 1000M stellar objects measured more …