Research on SAR data integrated processing methodology oriented on earth environment factor inversions SAR data integrated processingmode and theoretical frameworkbuilding detectionsea ice classificationAs an i
Data Mining Data processing Methodology of Data Collection and Processing Time Series Analysis References Alwan, L. C., & Roberts, H. V. (1988). Time-series modeling for statistical process control. Journal of Business and Economic Statistics, 6, 87–95. Article Google Scholar Apley, ...
as it can index a variety of bodily states (e.g., arousal, fatigue) and cognitive processes (e.g., attention, decision-making). As pupillometry becomes a more accessible and popular methodology, researchers have proposed a variety of techniques for analyzing pupil data. Here, we focus on ti...
A typical output of a metabolomic experiment is a peak table corresponding to the intensity of measured signals. Peak table processing, an essential procedure in metabolomics, is characterized by its study dependency and combinatorial diversity. While va
of milliseconds. However, with the typical problems of limited available resources as well as dynamic characteristics of data streams, real-time processing is still a challengingresearch topic. In literature, enabling adaptation for stream processing is a common way to achieve (near) real-time data...
Since 2020, the Catania-Messina-Enna Cancer Registry (CR) has operated a transformational program while also applying a Lean Six Sigma methodology (LSS) to optimize the processes and reduce waste. The project management methodology was also tailored to the specific peculiarity of the CR collaborato...
This section presents the main goals of the current research and the methodology that was adopted. 4.1. Contribution of This Work This work aims to analyze VCAs by identifying the processing of personal data during usage of these apps through static and dynamic analysis while taking into account ...
Natural language processing consists of the combination of the computational rule-based modeling of the human language that represents data in machine learning, statistical, and deep learning models. The report comprises various Natural Language Processing products from key players such as Hewlett Packard...
The knowledge representation methodology involved in NCKM is closely related to the link-weights. Every link in NCKM comprises of two weights represented as link_start_weight and link_end_weight. The link_start_weight refers to the link-weight at the starting of the link; similarly, link_end...
research on topics including but not limited to the following: Applications (e.g., vision, language, speech and audio, Creative AI) Deep learning (e.g., architectures, generative models, optimization for deep networks, foundation models, LLMs) Evaluation (e.g., methodology, meta studies, ...