Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...
Pylontech has introduced its PyOcean series of liquid-cooled battery energy storage systems at SNEC 2026 in Shanghai, targeting grid-side storage, large C&I projects, and emerging AI data center ...
The United States is producing nurse practitioner graduates faster than the clinical training infrastructure can absorb them. NP programs have seen enrollment climb for three consecutive years, yet ...
This repository presents the HiPart package, an open-source native python library that provides efficient and interpretable implementations of divisive hierarchical clustering algorithms. HiPart ...
Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...
Abstract: Classical clustering methods such as k-means, spectral clustering, DBSCAN, and DPC often operate under specific assumptions about data characteristics. However, the increasing diversity and ...
the computer performs data partitioning using a constrained clustering algorithm. Thus, at each step of the process : the user corrects the clustering of the previous steps using constraints, and the ...
Abstract: The high dimensionality of time-series data presents challenges for direct mining, including time and computational resource costs. In this study, a novel data representation method for time ...
Diabetes prevalence is on the rise in the Middle East. In countries of the Gulf region—Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates—prevalence rates are among the highest ...
Quantum chemical (QC) calculations can yield direct insight into an atmospheric cluster formation mechanism and cluster formation rates. However, such calculations are extremely computationally ...