Results 41 to 50 of about 15,552,862 (368)
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
: 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]
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
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
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
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]
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]
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
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
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
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

