In Formal Aspects of Computing , volume 12, pages 147–164, 2000. MATHWehrheim H (2000) Data abstraction techniques in the validation of CSP-OZ specifications. Formal Aspects Comput 12: 147–164H. Wehrheim. Data
High quality source and complex derived/correlated data products with proven applicability in telco AI/ML use case development ensures that AI/ML models are trained on relevant comprehensive datasets. Features of Nokia Data Suite: Data Mesh architecture Data federation and data abstraction helps to ...
very powerful EEG feature extraction algorithm mainly used for motor imagery [50,70], but we adopted CSP with meditation EEG in this study, as well as in our previous study [27]. The full procedure of spatial filters maximizing the variance of the two mind tasks, supported by covariance mat...
Multiple views.A DBMS can also provide many views of a single database schema. A view defines what data the user sees and how they see the data. The DBMS provides a level of abstraction between the conceptual schema that defines the logical structure of the database and the physical schema...
In the simplest of such platforms, isolation between cotenants is made possible by the hypervisor software component that hosts virtual machines. A hypervisor is the layer of abstraction that mediates access between virtual machines and the physical servers that host them. On a single server, each...
Since VMs can be implemented on different level of abstraction or implementation [47], the isolation techniques can also be classified correspondingly. Following the paper [109] one can identify four subcategories of isolation, where the isolation is based on process VMs, system VMs, hosted VMs ...
The Cloud Service Providers (CSP) use various data abstraction techniques to ensure the safety of the data in cloud. However, attackers can move information from one Virtual Machine (VM) to another VM through a side-channel or covert channel by using some security mechanisms. Next, evidence ...
DL allows trainable models composed of multiple layers to learn representations of data with multiple levels of abstraction1. DL is a representation-learning method with multiple levels of representation obtained by composing non-linear modules, in which each transforms the representation at one level ...
@thi.ng/csp changelog Channel based async ops @thi.ng/grid-iterators changelog 2D grid iterator strategies @thi.ng/seq changelog Lisp/Clojure-style sequence abstraction @thi.ng/transducers changelog Composable data transformations @thi.ng/transducers-async changelog Async transducers, reducers & iterator...
squash - Compression abstraction library, complete with some utilities. MIT TurboPFor - Fastest integer compression. GPL-2.0-or-later TurboRLE - Most efficient run-length encoding. GPL-2.0-or-later zip - Really really small zip archive processing library. Unlicense Zlib - Massively spiffy yet de...