Results 71 to 80 of about 566,348 (288)
Jurnal ElkomikaThis study developed a data cleaning system for master data using the Sorted Neighborhood Method (SNM) and N-gram methods to detect and eliminate duplicates and standardize name and address formats.
YUSUF LESTANTO, RAHMA MUALIFA
doaj +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Pulse Coupled Neural Network based Near-Duplicate Detection of Images (PCNN - NDD)
Advances in Electrical and Computer Engineering, 2018 Near Duplicate images are variants of original image with some transformations / manipulations / forgeries in it. The illegal copies of images are identified to protect copyright enforcement and reduce redundancy. The existing works in ND detection are
THYAGHARAJAN, K. K., KALAIARASI, G.
doaj +1 more source
A constrained clustering approach to duplicate detection among relational data [PDF]
, 2007 This paper proposes an approach to detect duplicates among relational data. Traditional methods for record linkage or duplicate detection work on a set of records which have no explicit relations with each other.
Chao, W, Guangquan, Z, Jie, L
core
The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
, 2017 The success of deep learning in vision can be attributed to: (a) models with high capacity; (b) increased computational power; and (c) availability of large-scale labeled data.
Gupta, Abhinav +3 more
core +1 more source
CLUSTER BASED DUPLICATE DETECTION [PDF]
Journal of Computer Science, 2013 We propose a clustering technique for entropy based text dis-similarity calculation of de-duplication system. Improve the quality of grouping; in this st udy we propose a Multi-Level Group Detection (MLGD) algorithm which produces a most accurate group with most closely related object using Alternative Decision Tree (ADT) technique.
openaire +1 more source
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
UVPAR: fast detection of functional shifts in duplicate genes
BMC Bioinformatics, 2006 Background The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective processes.
Lucas J Ignasi +3 more
doaj +1 more source
Completion Report: Arkansas State Pesticides in Ground Water Monitoring Project Phase V: Vulnerable areas in Jackson, Monroe, Lawrence and Lonoke Counties [PDF]
, 1996 In 1996, sixty-seven water samples were drawn from 65 wells, including 62 new wells and 3 wells sampled previously . One Woodruff County well and two Pulaski County wells were resampled. Thirty-two samples were drawn from 30 wells in Monroe County (well #
Armstrong, C. +4 more
core +2 more sources