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Data Embedding and Extraction in Scrambled Video using Machine Learning
Published 2020Subjects: “…Data embedding…”
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GenDE: A CRF-Based Data Extractor
Published 2020Subjects: “…Wrapper induction, data extractor, wrapper verifier, sequence labeling, CRFs model, JSON data extraction.…”
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A cascaded deep learning framework for simultaneous non-intrusive load and occupancy monitoring using multi-channel aggregated smart meter data
Published 2025“…To address this, we propose non-intrusive load and occupancy monitoring (NILOM), a dual-phase deep learning framework for real-time NILM and NIOM using multi-channel smart meter data. The framework cascades a load disaggregation network (LD-Net), a 1D sequence-to-sequence model for appliance-level load disaggregation, and an occupancy detection network (OD-Net), a 1D sequence-to-point classifier for occupancy detection from reaggregated household-level load event patterns. …”
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SHORT- VS LONG-READ SEQUENCING OF SOIL ARTHROPODS
Published 2025“…Despite significantly lower mite richness in the metabarcoding datasets, PacBio datasets (658 bp amplicons) provided more reliable community profiles that aligned strongly with the morphological data. This indicates that soil sample quantities generally used for microbial analyses are also informative in studying soil faunal communities.…”
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VEGAWES: variational segmentation on whole exome sequencing for copy number detection
Published 2015“…The results on the real data were analyzed with segmentation obtained from Single-nucleotide polymorphism data as ground truth. …”
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DASSI: differential architecture search for splice identification from DNA sequences
Published 2022“…<h2>Background</h2> <p>The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. …”
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Effects of Lindamood phoneme sequencing program (LIPS) on a bilingual student. (c2012)
Published 2012“…The purpose of this case study was to determine the effectiveness of Lindamood Phoneme Sequencing program (LiPS) on phonemic awareness (PA), reading, and spelling in a bilingual teenager diagnosed with dyslexia, and the extent of effectiveness on each skill. …”
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masterThesis -
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A Mediation Layer for Connecting Data-Intensive Applications to Reconfigurable Data Nodes
Published 2013“…A novel and rapidly growing area of research concerns data-intensive applications and the technical challenges that accompany it. …”
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conferenceObject -
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Scatter search for protein structure prediction. (c2008)
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masterThesis -
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A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network
Published 2020“…A newly collected dataset after feature selection is used to generate the DNA sequence. In the final phase, the new dataset is trained using active learning concept, and the test data is generated using a random DNA sequence method. …”
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A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset
Published 2022“…In this work, we propose a sequence classification deep model using depth video data for scenarios when the video data are limited. …”
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Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
Published 2017“…We also interrogated regulatory sequence variation for known and hypothesized ID genes and present useful strategies for WGS data analyses for non-coding variation.…”
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Antibiotic resistance patterns and sequencing of class I integron from uropathogenic Escherichia coli in Lebanon
Published 2010“…Five restriction patterns were detected and isolates with the same VR amplicon size had the same restriction pattern. Conclusions: Our data demonstrated that Class I integrons are widely disseminated in Lebanon and showed their importance for the occurrence and transmission of multidrug resistance. …”
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