Arthur
发表于 2025-3-21 16:59:41
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Exposition
发表于 2025-3-21 20:59:50
Using SIMD Instructions to Accelerate Sequence Similarity Searches Inside a Database Systemlso compare it to implementations of the same logic outside the DBMS..Our implementation of an SIMD-accelerated Smith Waterman sequence-alignment algorithm shows an order of magnitude improvement on a non-accelerated version while running inside a DBMS. Our SIMD accelerated version also performs wit
GRIPE
发表于 2025-3-22 01:42:37
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SPALL
发表于 2025-3-22 05:00:33
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吸引人的花招
发表于 2025-3-22 10:07:52
Interdependent Model for Point-of-Interest Recommendation via Social Networksf locations via links) between locations, based on the TF-IDF conversion of check-in times. Geographic information, such as the longitude and latitude of locations, are incorporated into the interdependent model. Substantial experiments on three social network data sets verify the POI recommendation
儿童
发表于 2025-3-22 14:49:36
Child Abuse and Domestic Abuse: Content and Feature Analysis from Social Media Disclosurests, with the underlying context. Various features such as psycholinguistic, textual and sentimental features are analyzed and Machine Learning techniques are trained to analyze the predictive power of extracted features. Hence, the resulting model achieves more predictive power with high accuracy in
儿童
发表于 2025-3-22 20:45:45
An Efficient Framework for the Analysis of Big Brain Signals Datae of brain signals data and also can be used for handling any other biomedical signal data in time series form (e.g. electrocardiogram (ECG); Electromyogram (EMG)). The main benefit of the proposed methodology is to provide an effective way for analyzing the vast amount of BBSD generated from the br
PALMY
发表于 2025-3-22 21:39:43
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anagen
发表于 2025-3-23 04:00:56
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不易燃
发表于 2025-3-23 08:49:17
https://doi.org/10.1007/978-3-642-45622-0an approach, which we call ., that adopts Google’s Auto Awesome philosophy: automatically improve an existing artifact and let the user (developer) decide whether to keep and use the improved artifact. The DBAutoAwesome approach ingests a database application to produce an enhanced application. In t