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Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus
TLDR
In this paper, we introduce a robust lane detection method based on the combined convolutional neural network (CNN) with random sample consensus (RANSAC) algorithm. Expand
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Identifying set-wise differential co-expression in gene expression microarray data
TLDR
dCoxS is a two-step analysis method that identifies differentially coexpressed gene set pairs between conditions. Expand
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FACT: Functionality-centric Access Control System for IoT Programming Frameworks
TLDR
A functionality-centric approach to manage IoT devices, called FACT, which has two design goals, namely, the principle of least privilege and the availability in terms of device functionalities. Expand
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Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
TLDR
We use a CNN for image enhancement and the detection of driving lanes on motorways using an extreme learning machine. Expand
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Detecting and Identifying Faulty IoT Devices in Smart Home with Context Extraction
TLDR
We present DICE, an automatic method to detect and identify faulty IoT devices with context extraction. Expand
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ArrayXPath II: mapping and visualizing microarray gene-expression data with biomedical ontologies and integrated biological pathway resources using Scalable Vector Graphics
TLDR
A web-based service for mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics (SVG). Expand
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Genomic characterization of perturbation sensitivity
TLDR
We show that perturbation sensitive genes are usually not essential and their coding proteins have fewer physical interaction partners and more transcription factors bind to their upstream sequences. Expand
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Energy-optimal dynamic thermal management for green computing
TLDR
A new method of dynamic thermal management using both the fan speed and the voltage/frequency of the microprocessor as control variables. Expand
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GOChase-II: correcting semantic inconsistencies from Gene Ontology-based annotations for gene products
TLDR
We identified three types of semantic inconsistencies in GO-based annotations; semantically redundant, biological-domain inconsistent and taxonomy inconsistent annotations. Expand
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CMcloud: Cloud Platform for Cost-Effective Offloading of Mobile Applications
TLDR
We propose CMcloud, a novel cost-effective mobile-to-cloud offloading platform, which works nicely under the real-world cloud environments. Expand
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