A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
RANGPUR, Jan 26. 2026 (BSS) - A seminar titled ‘Research Methodology’ was held at the Department of Computer Science and ...
Research from Umeå University paves the way for a quantitative data analysis method to study the cell division process in individual cells. The improved resolution will promote advanced cell analysis ...
Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
This paper presents a methodology for workload characterization and root cause analysis using the Arm Statistical Profiling Extension (SPE) demonstrated on a Neoverse N1 core. The target audience are ...
Until recently, humanitarian organizations have not routinely used cost data to compare the efficiency or effectiveness of different interventions and program delivery models. As a result, policy ...
When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...
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