(2006). Computing LTS Regression for Large Data Sets. Data Mining and Knowledge Discovery, 12, 29-45. http://dx.doi.org/10.1007/s10618-005-0024-4Rousseeuw PJ, Driessen KV. Computing LTS regression for large data sets. Data Min. Knowl. Discov. 2006; 12 :29–45....
Anduril is a workflow platform for analyzing large data sets. Anduril provides facilities for analyzing high-thoughput data in biomedical research, and the platform is fully extensible by third parties. Ready-made tools support data visualization, DNA/RNA/ChIP-sequencing, DNA/RNA microarrays, cytometr...
locking the system while new packages are installed. This can take a few seconds for small updates, but large updates can take several minutes. (I ran one large update that added nearly ten minutes to my boot time.) This is terribly slow and awkward compared to the update process of virtu...
Smart manufacturing systems based on cloud computing deal with large amounts of data for various IoT devices, resulting in several challenges, including high latency and high bandwidth usage. Since fog computing physically close to IoT devices can alleviate these issues, much attention has recently be...
Consequently, to test the security level, the focus was to enable the possibility of validation to encode large data volumes through an image using a restricted visually perceptible object that provides the ability to hide the data presence from being detected by a machine. At first, the ‘...
According to the approach, the information encoder is applied to the trained data, first, the informative features are studied, then the Softmax regression layer is used to classify the types of APT. The main contributions of the work include: The paper is structured as follows. Section 2 ...
A growing number of humans have suffered severe chronic illnesses, which has caused a boost in the requirement for diagnostic and medical treatment procedures that are both accurate and fast. Improved patient conditions and enhanced Decision-Making Syste
Virtualization techniques effectively handle the growing demand for computing, storage, and communication resources in large-scale Cloud Data Centers (CDC). It helps to achieve different resource management objectives like load balancing, online system m
Human activity recognition (HAR) is a broad research area. While there exist solutions based on sensors and vision-based technologies, these solutions suff
The implemented ad-hoc system outperformed Amazon AC2 in terms of performance, while the execution of the proposed deep steganography approach gave a high rate of evaluation for concealing both data and images when evaluated against several attacks in an ad-hoc cloud system environment....