PDF. Explore the latest unit-wise weightage, detailed chapter topics, question paper design, and internal assessment details ...

Positional accuracy of cartographic products is typically evaluated using positional discrepancies and point-based techniques. However, using linear features has some advantages over the point-based ...

Loading an image file into a GPU texture is outside of the scope of Dear ImGui and has more to do with your Graphics API. Because this is such a recurring issue for Dear ImGui users, we are providing ...

PyAutoFit is a Python based probabilistic programming language for model fitting and Bayesian inference of large datasets. The basic PyAutoFit API allows us a user to quickly compose a probabilistic ...

Abstract: This paper describes a proposal for a deductive database system with fuzzy Datalog as its query language. Concepts supporting the fuzzy logic programming system Bousi~Prolog are tailored to ...

Designing sustainable cement supply chains presents a complex challenge due to their high energy consumption, emission intensity, and sensitivity to uncertainty. This study proposes a novel ...

Genomic prediction is a powerful approach for improving genetic gain and shortening the breeding cycles in animal and crop breeding programs. A series of statistical and machine learning models has ...

Linear algebra is central to many algorithms in engineering, science, and machine learning; hence, accelerating it would have tremendous economic impact. Quantum computing has been proposed for this ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nowadays, frontiers among different sciences are revealed as diffuse, and as a ...

Many complex data analysis problems within and beyond the scientific domain involve discovering graphical structures and functional relationships within data. Nonlinear variance decomposition with ...