Results 41 to 50 of about 15,552,862 (368)

Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization

open access: yesInternational Conference on Information Systems Security and Privacy, 2018
: With exponential growth in the size of computer networks and developed applications, the significant in-creasing of the potential damage that can be caused by launching attacks is becoming obvious.
Iman Sharafaldin   +2 more
semanticscholar   +1 more source

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature [PDF]

open access: yesInternational Conference on Machine Learning, 2023
The increasing fluency and widespread usage of large language models (LLMs) highlight the desirability of corresponding tools aiding detection of LLM-generated text.
E. Mitchell   +4 more
semanticscholar   +1 more source

Fluorometric assay for quantitation of biotin covalently attached to proteins and nucleic acids

open access: yesBioTechniques, 2007
As a component of the (strept)avidin affinity system, biotin is often covalently linked to proteins or nucleic acids. We describe here a microplate-based high-throughput fluorometric assay for biotin linked to either proteins or nucleic acids based on ...
Robert H. Batchelor   +3 more
doaj   +1 more source

Label-free enrichment of rare unconventional circulating neoplastic cells using a microfluidic dielectrophoretic sorting device

open access: yesCommunications Biology, 2021
Montoya Mira & Sapre et al. design a microfluidic device utilizing dielectrophoresis for the enrichment of circulating neoplastic cells that possess both epithelial and immune-like characteristics. They optimized the device using in vitro models and then
Jose Montoya Mira   +9 more
doaj   +1 more source

Uncertainty evaluation for determination of isocarbophos residues in tea by QuEChERS-gas chromatography-tandem mass spectrometry

open access: yesShipin yu jixie, 2022
Objective: The uncertainty of determination of Isocarbophos residues in tea by using QuEChERS-gas chromatography-tandem mass spectrometry techniqne was evaluated.
LU Zhen-hua   +3 more
doaj   +1 more source

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection [PDF]

open access: yes, 2019
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule detection in clinical practice despite their potential benefits.
Cui, Xiaonan   +5 more
core   +5 more sources

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation [PDF]

open access: yes2014 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context.
Ross B. Girshick   +3 more
semanticscholar   +1 more source

Motion classification for radar moving target via STFT and convolution neural network

open access: yesThe Journal of Engineering, 2019
Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects ...
Xiaoqian Mou   +3 more
doaj   +1 more source

antiSMASH 6.0: improving cluster detection and comparison capabilities

open access: yesNucleic Acids Res., 2021
Many microorganisms produce natural products that form the basis of antimicrobials, antivirals, and other drugs. Genome mining is routinely used to complement screening-based workflows to discover novel natural products.
K. Blin   +6 more
semanticscholar   +1 more source

Encoder-decoder with dense dilated spatial pyramid pooling for prostate MR images segmentation

open access: yesComputer Assisted Surgery, 2019
Automatic segmentation of prostate magnetic resonance (MR) images has great significance for the diagnosis and clinical application of prostate diseases.
Lei Geng   +5 more
doaj   +1 more source

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