The phrase "along with computing" is correct and usable in written English.
It can be used to indicate that something is included or considered together with computing, often in a list or description of related subjects or activities.
Example: "The conference will cover various topics, along with computing, such as artificial intelligence and data science."
Alternatives: "together with computing" or "in addition to computing".
On the consumer computer side, the proper product in a world of NCs and ubiquitous computing and the Internet, is a reissue of something that hearkens back to the original Mac form factor, only loaded with color and stereo controllers and television along with computing.
The k-mer qualities are computed on Step (1) along with computing k-mer statistics.
As a result, data analysis along with computing power and storage capacity, are often regarded the current bottleneck in chromatin accessibility experiments.
Conflict monitoring is believed to be one key aspect of executive attention, along with computing task parameters, evaluating conflict, updating new or unlearned responses, regulating thoughts and emotions, and blocking habitual responding (Raz & Buhle, 2006).
QuAM has been designed by exploiting a fuzzy linguistic approach along with the Computing with Words (CWW) paradigm: the customers feedbacks are modeled through linguistic labels, which naturally fit to describe human judgments; then a linguistic operator LOWA (Linguistic Ordered Weighted Averaging) allows aggregating all the collected judgments into a synthetic linguistic expression.
Smirnova views security issues that come along with grid computing one of the most challenging.
The Voice First revolution is the tailwind that was formed from millions of years of evolution creating our primary communication channel, our voice, to the convergence of just the right hardware and AI software along with cloud computing to make the powerful trend surface.
The predicted values, along with values computed with the Schroeder-van Laar equation, are compared to experimental results published by us previously for 42 binary mixtures.
The method consists of an anisotropic extension of the Linear Minimum Mean Square Error estimator (LMMSE) that is a far better edge-preserving method than the traditional LMMSE and addresses noncentral χ distributions along with empirically computed global effective parameters.
The selected training, test, and validation data sets are listed in Table 2 along with the computed accuracy criteria.
However, we need more sophisticated bioinformatics and computational algorithms along with a cloud computing platform as the existing tools and methods are unable to handle the extraordinarily growing scale of data.
