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RFID, capable of remote automatic identification, is taking the place of barcodes to become electronic tags of the new generation.
Automatic identification is a broad term given to a host of technologies that are used to help machines identify objects.
Automatic identification is often coupled with automatic data capturing technology as companies with interests in logistics want to identify items, capture information about them and somehow enter the data into a computer without having employees type it in.
Because of the many CMB "mimics" with similar signal and morphological characteristics, and the unpredictable, widespread distribution of CMBs in the brain, automatic identification is challenging.
Although a few methods have been already proposed for the detection of cancer-related genes, their automatic identification is still a challenging task.
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In the present work, a new method for automatic transient identification is proposed, based on the Dynamic Time Warping (DTW) algorithm, largely used in other related areas such as signature or speech recognition.
b) Automatic Concept Identification (all default settings used) - Automatic concept identification was selected to enable the software to identify concepts from the text and all concepts were retained for the exploratory analysis to enable the software to automatically assign terms to concepts.
These cases are explored and the reasons underlying the inconsistent performance of automatic topic identification are investigated with statistical analysis and experimental design techniques.
The aim of automatic identification systems is to increase efficiency, reduce data entry errors, and free up staff to perform more value-added functions.
The automatic identification rate is increased by using different segmentation methods and developing new features for microscopic algae images.
If identification is automatic, familiar faces would certainly enjoy an advantage over unfamiliar faces since rapid individuation could free up resources useful for other tasks (potentially including low-level judgments like face orientation).
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