Showing 2,821 - 2,840 results of 3,275 for search 'complex detection (efficiency OR efficient)', query time: 0.17s Refine Results
  1. 2821

    Unified Ecosystem for Data Sharing and AI-Driven Predictive Maintenance in Aviation by Igor Kabashkin, Vitaly Susanin

    Published 2024-11-01
    “…The aviation industry faces considerable challenges in maintenance management due to the complexities of data standardization, data sharing, and predictive maintenance capabilities. …”
    Get full text
    Article
  2. 2822

    Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics by Changxiang Huan, Jinze Li, Yingxue Li, Shasha Zhao, Qi Yang, Zhiqi Zhang, Chuanyu Li, Shuli Li, Zhen Guo, Jia Yao, Wei Zhang, Lianqun Zhou

    Published 2025-01-01
    “…Moreover, the spatial resolution, high-throughput detection capability, capture efficiency, and compatibility with various sample types of omics technology have considerably advanced. …”
    Get full text
    Article
  3. 2823

    A nanolevel sustainable fluorometric approach employing Eosin Y, a biological dye, as an innovative quenching-based biochemical sensor for linagliptin determination by Mohamed A. El Hamd, Badriah Saad Al-Farhan, Safaa F. Saleh, Wael A. Mahdi, Sultan Alshehri, Bandar R. Alsehli, Ahmed Abdulhafez Hamad

    Published 2025-08-01
    “…Under the White Analytical Chemistry (WAC) framework, the assessment employing the RGB 12 model categorized the method as ''white,'' indicative of its optimal environmental and operational efficiency. Further analysis using the new BAGI metric reinforced the method's sustainability and versatility by yielding high ratings in both dimensions, underscoring its reliability and extensive applicability.…”
    Get full text
    Article
  4. 2824

    Frequency-comb-referenced multiwavelength interferometry for high-precision and high-speed 3D measurement in heterogeneous semiconductor packaging by Park Jun Hyung, Kim Dae Hee, Chu Huy Hoang, Hahm Ji Won, Kang Guseon, Lee Dongil, Song Seyong, Kang Mingu, Kim Seung-Woo, Kim Young-Jin

    Published 2025-02-01
    “…As Moore’s law approaches its physical limits, the semiconductor industry has begun to focus on improving I/O density and power efficiency through 2.5D/3D packaging. Heterogeneous integration, which combines integrated circuit blocks from different linewidth processes into a single package, is central to these developments. …”
    Get full text
    Article
  5. 2825

    Research on leakage hazards of embankments based on 3D electrical resistivity tomography technology by Yuehang Zhao, Risheng Wang, Tao Gao, Tao Guo, Xin Guo

    Published 2024-06-01
    “…Leakage is a common issue in reservoirs; however, accurately detecting its location and seepage diameter can be challenging owing to complex geological conditions. …”
    Get full text
    Article
  6. 2826

    A Delayed Response in the Area‐Concentrated Search Can Improve Foraging Success by Thotsapol Chaianunporn, Thomas Hovestadt

    Published 2025-03-01
    “…We propose a modified ACS, called delayed‐response ACS (dACS), which is more efficient in resource collection than standard ACS. …”
    Get full text
    Article
  7. 2827

    Biocompatible bright orange emissive carbon dots: Multifunctional nanoprobes for highly specific sensing toxic Cr(VI) ions and mitochondrial targeting cancer cell imaging by Ramar Rajamanikandan, D.S. Prabakaran, Kandasamy Sasikumar, Joo Seon Seok, Gyeongchan Lee, Heongkyu Ju

    Published 2024-12-01
    “…The established fluorescence-based sensing technique could serve for Cr(VI) ion quantification with exceptional sensing efficiency in the wide linear range of 7 to 70 μM (R2 = 0.9873), with the limit of detection of 53.5 nM. …”
    Get full text
    Article
  8. 2828

    Role of the functional status of the autonomic nervous system in the clinical course of purulent meningitis by D. A. Zadiraka, O. V. Ryabokon

    Published 2014-04-01
    “…Research aim: to increase the autonomic dysfunction diagnostics efficiency for patients suffering from purulent meningitis in the disease dynamics based on the complex of clinical evidence and functional status of autonomic nervous system. …”
    Get full text
    Article
  9. 2829

    Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset by Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Sidratul Montaha, Rashik Rahman, Sk. Tanzir Mehedi, Ziaur Rahman

    Published 2024-09-01
    “…To the best of our knowledge, this performance surpasses previous studies in the field, highlighting a notable enhancement in ASD detection from fMRI data. Furthermore, the FL-based Q-CNN model demonstrated robust performance and high efficiency on a Raspberry Pi 4, underscoring its potential for real-world applications. …”
    Get full text
    Article
  10. 2830

    Determination of malachite green in sediment by ultra performance liquid chromatography-mass spectrometry by Mei Guangming, Guo Yuanming, Zhang Xiaojun, Yan Zhongyong, Li Peipei, You Juju, Ding Yueping

    Published 2014-05-01
    “…The current researches mainly focus on the determination of MG in aquatic products, rarely in sediment. Due to the matrix complex of sediment, sample pretreatment technology is the key technology. …”
    Get full text
    Article
  11. 2831

    Artificial intelligence-based multi-expression programming prediction of magnetized radiative nanofluid flow between coaxial deformable tubes by Bilal Ahmed, Dong Liu, Bouthaina Dammak, Naeem Ullah, Afraz Hussain Majeed, Hafedh Mahmoud Zayani, Binjuan Zhao

    Published 2025-10-01
    “…Endoscopy is used to detect the inner diseases of body that are complex to detect from the ordinary visualization and outer tube shows the blood flow arteries. …”
    Get full text
    Article
  12. 2832

    From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

    Published 2025-06-01
    “…The approach assists in predicting key values of the dependent variable associated with defect occurrence, enabling foundries to enhance product quality, reduce waste, and augment overall production process efficiency. The proposed study is founded on two principal pillars: the transformation of process tabular data (generated using the Conditional Tabular Generative Adversarial Network (CTGAN)), involving the mapping of features onto a fixed grid in a heatmap structure, and the configuration of the CNN algorithm to extract complex patterns in the data that are not readily apparent in the original tabular format. …”
    Get full text
    Article
  13. 2833

    Design of Two Phase DC-AC Interleaved Boost Inverter with Voltage Control System using PI Controller by Juan Marco Alexander Wasiatno, Leonardus Heru Pratomo

    Published 2024-12-01
    “…Testing was carried out using several test signals, and it was found that the proposed method worked well. System efficiency and Total Harmonic Distortion (THD) tests carried out using various load values, and a maximum efficiency of 93.87% and a minimum THD of 2.46% were obtained.…”
    Get full text
    Article
  14. 2834

    The content of heavy metals in the aerial parts of the common nettle and sun spurge from Oštrelj (municipality of Bor): A contribution to the examinations of plant biomonitoring an... by Zoran O. Stevanović, Slađana Č. Alagić, Snežana B. Tošić

    Published 2019-03-01
    “…Similar situation was found also in the case of As, and Ni in the sun spurge, which showed to be much efficient in metal accumulation than common nettle. …”
    Get full text
    Article
  15. 2835

    Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

    Published 2025-06-01
    “…The optimal surge absorption configuration will be chosen based on its ability to meet various criteria, including efficient operation, rapid response, minimal complexity on both power and control sides, and the involvement of active and passive components. …”
    Get full text
    Article
  16. 2836

    High-energy dual-energy computed tomography for the characterization of large and thick objects by Alix Sardet, Daniel Eck, Nicolas Estre, Frédéric Moutet, Emmanuel Payan, Cécilia Tarpau

    Published 2025-02-01
    “…The third technique has proven rather efficient; however, it raises the question of the choice of material base used for decomposition. …”
    Get full text
    Article
  17. 2837

    Importance of forensic accounting in the process of making decisions by the top management by Dragan Cvetković, Ljiljana Dimitrijević, Slaviša Đorđević

    Published 2024-06-01
    “…In modern business conditions, more and more attention is paid to the introduction of forensic accounting into the regular operations of the company and its development, in order to achieve more efficient and effective controls of all organizational parts in the company. …”
    Get full text
    Article
  18. 2838

    Beyond Snippet Assistance: A Workflow-Centric Framework for End-to-End AI-Driven Code Generation by Vladimir Sonkin, Cătălin Tudose

    Published 2025-03-01
    “…These capabilities enable efficient automation of repetitive tasks, enforcement of coding standards, and streamlined development workflows. …”
    Get full text
    Article
  19. 2839

    Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. by Lukas Grossberger, Francesco P Battaglia, Martin Vinck

    Published 2018-07-01
    “…Our method handles efficiently the additional information from increasingly large neuronal ensembles and can detect a number of patterns that far exceeds the number of recorded neurons. …”
    Get full text
    Article
  20. 2840

    AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images by Shih-Fang Chang, Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang, Chi-Chih Wang

    Published 2025-07-01
    “…Combining Mamba and transformer architectures, this hybrid design was well-suited for the timely analysis of complex anatomical structures segmentation in abdominal ultrasonography, where accuracy and efficiency are critical in clinical practice.ConclusionThe proposed mamba-transformer hybrid recognition framework simultaneously detects and segments multiple abdominal organs and lesions in ultrasound images, achieving superior segmentation accuracy, visualization effect, and inference efficiency, thereby facilitating improved medical image interpretation and near real-time diagnostic sonography that meets clinical needs.…”
    Get full text
    Article