Pattern Recognition: Sequential Double “Clicks” toward Structurally Well-Defined Heterogeneous N -Glycoclusters: The Importance of Cluster Heterogeneity on Pattern Recognition In Vivo (Adv. Sci. 2/2017)

Pattern Recognition: Sequential Double “Clicks” toward Structurally Well‐Defined Heterogeneous N‐Glycoclusters: The Importance of Cluster Heterogeneity on Pattern Recognition In Vivo (Adv. Sci. 2/2017)

Sequential Double “Clicks” toward Structurally Well‐Defined Heterogeneous N‐Glycoclusters: The Importance of Cluster Heterogeneity on Pattern Recognition In Vivo

Structurally well-defined heterogeneous N-glycoclusters are prepared on albumin via a double click procedure. The number of glycan molecules present, in addition to the spatial arrangement of glycans in the heterogeneous glycoclusters, plays an important role in the in vivo kinetics and organ-selective accumulation through glycan pattern recognition mechanisms.

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Deep Learning For Sequential Pattern Recognition

Faculty of Electrical Engineering and Information Technology Department of Geometric Optimization and Machine Learning

A Voting-Based Sequential Pattern Recognition Method

We propose a novel method for recognizing sequential patterns such as motion trajectory of biological objects (i.e., cells, organelle, protein molecules, etc.), human behavior motion, and meteorological data. In the proposed method, a local classifier is prepared for every point (or timing or frame) and then the whole pattern is recognized by majority voting of the recognition results of the lo...