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Showing 301 - 320 results of 907 for search '(( resourcesss detection functions ) OR (( source OR sources) detection functions ))', query time: 0.21s Refine Results
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    Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

    Published 2025-09-01
    “…The model underwent training, validation, and testing with three publicly accessible EEG datasets sourced from PhysioNet and ResearchGate, thereby ensuring strong generalization across various datasets. …”
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    Article
  3. 303

    Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability. by Hemant Bengani, Detelina Grozeva, Lambert Moyon, Shipra Bhatia, Susana R Louros, Jilly Hope, Adam Jackson, James G Prendergast, Liusaidh J Owen, Magali Naville, Jacqueline Rainger, Graeme Grimes, Mihail Halachev, Laura C Murphy, Olivera Spasic-Boskovic, Veronica van Heyningen, Peter Kind, Catherine M Abbott, Emily Osterweil, F Lucy Raymond, Hugues Roest Crollius, David R FitzPatrick

    Published 2021-01-01
    “…Assigning causative status to any ultra-rare CRE variant remains problematic and requires disease-relevant in vivo functional data from multiple sources. The sequential and bespoke nature of such analyses renders them time-consuming and challenging to scale for routine clinical use.…”
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  4. 304

    Quality of life and objective functional impairment in lumbar spinal stenosis: a protocol for a systematic review and meta-analysis of moderators by Andrea Pozza, Fabio Ferretti, Anna Coluccia, Roberto Gusinu, Giacomo Gualtieri, Vitaliano Francesco Muzii

    Published 2019-11-01
    “…Moderators will be investigated through meta-regression.Conclusions A summary of the evidence on quality of life and functional impairment in LSS may suggest clinical and occupational health medicine strategies aimed to timely detect and prevent these outcomes. …”
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    The Ion Formation and Quantitative Response of Isoprene, Monoterpenes and Terpenoids in Ion Mobility Spectrometry with Atmospheric-Pressure Chemical Ionization as a Function of Tem... by Thomas Mayer, Ralf Petrich, Helko Borsdorf

    Published 2024-12-01
    “…In this study, we investigated the ion formation processes and the quantitative response of isoprene, monoterpenes and monoterpenoids as a function of the temperature of the spectrometer using a tritium ionization source. …”
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    Dark Ship Detection via Optical and SAR Collaboration: An Improved Multi-Feature Association Method Between Remote Sensing Images and AIS Data by Fan Li, Kun Yu, Chao Yuan, Yichen Tian, Guang Yang, Kai Yin, Youguang Li

    Published 2025-06-01
    “…This study provides an efficient technical tool for maritime safety regulation through multi-source data fusion and algorithm innovation.…”
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  11. 311

    Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning by Mohsen Mozafari, Andrew J. Law, Rafik A. Goubran, James R. Green

    Published 2024-10-01
    “…Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. …”
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  12. 312

    Do capture and survey methods influence whether marked animals are representative of unmarked animals? by John R. Fieberg, Kurt Jenkins, Scott McCorquodale, Clifford G. Rice, Gary C. White, Kevin White

    Published 2015-12-01
    “…The lone exception to this rule was for the cohort of radiocollared moose in Minnesota, which exhibited a slight decrease in detection probabilities over time. Differences in detection probabilities for marked and unmarked animals may not be a significant problem for sightability models, provided that the source of the variability can be captured by model covariates (e.g., heterogeneity is tied to an individual's propensity to be in heavy cover). …”
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    Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

    Published 2025-01-01
    “…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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  15. 315

    Functional and Genomic Evidence of L-Arginine-Dependent Bacterial Nitric Oxide Synthase Activity in <i>Paenibacillus nitricinens</i> sp. nov. by Diego Saavedra-Tralma, Alexis Gaete, Carolina Merino-Guzmán, Maribel Parada-Ibáñez, Francisco Nájera-de Ferrari, Ignacio Jofré-Fernández

    Published 2025-06-01
    “…Consequently, <i>P. nitricinens</i> expands the known repertoire of microbial NO synthesis and suggests a previously overlooked source of NO flux in well-aerated soils.…”
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    Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

    Published 2024-10-01
    “…In this paper, a hyper cutter location source (HCLS)-data-based robotic interface is proposed to cope with the issues. …”
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    Comprehensive Identification of Long Non-coding RNAs in Purified Cell Types from the Brain Reveals Functional LncRNA in OPC Fate Determination. by Xiaomin Dong, Kenian Chen, Raquel Cuevas-Diaz Duran, Yanan You, Steven A Sloan, Ye Zhang, Shan Zong, Qilin Cao, Ben A Barres, Jia Qian Wu

    Published 2015-12-01
    “…Overall, our results substantiated the role of lncRNA in OPC fate determination and provided an unprecedented data source for future functional investigations in CNS cell types. …”
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