Showing 361 - 380 results of 1,537 for search 'log processing', query time: 0.08s Refine Results
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    Functional Quality and Microbiological Stability of Grape Juice During Processing by UV-C Light Compared to Mild Heat Treatment and Evolution of the Parameters During Cold Storage by Cielo Char, Carla Vegas, Nalda Romero, Luis Puente-Diaz, Jaime Ortiz-Viedma, Marcos Flores

    Published 2025-06-01
    “…Thermal treatment reduced <i>E. coli</i> to 5.14 log CFU/mL in 180 s, increased TP (237–312 mg GAE/L), and maintained the AC of the juice. …”
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  3. 363

    Fortification of Cereal-Based Food with <i>Lactobacillus rhamnosus</i> GG and <i>Bacillus coagulans</i> GBI-30 and Their Survival During Processing by Junyan Wang, Peng Wu, Xiao Dong Chen, Aibing Yu, Sushil Dhital

    Published 2025-06-01
    “…In sheeted noodles, both strains maintained ≥8 log CFU/g viability pre-cooking. After 7 min boiling, <i>Lactobacillus rhamnosus</i> GG retained 6.88 log CFU/g and <i>Bacillus coagulans</i> GBI-30 5.75 log CFU/g in noodles, meeting the recommended 10<sup>6</sup>–10<sup>7</sup> CFU/g threshold for probiotic efficacy. …”
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  4. 364

    How does the post-editing of Neural Machine Translation compare with from-scratch translation? A product and process study by Yanfang Jia, Michael Carl, Xiangling Wang

    Published 2019-01-01
    “…This study explores the post-editing process when working within the newly introduced neural machine translation (NMT) paradigm. …”
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  5. 365

    Robotic Process Automation-Based Functional Test Automation of High-Speed Analog-to-Digital Converter Customer Evaluation Boards by Ace Dominic Alcid, Glenn Magwili

    Published 2025-06-01
    “…Therefore, we formulated an automated testing system based on robotic process automation (RPA) to address the issues. The system integrates RPA with existing testing hardware for high-speed analog-to-digital converter (ADC) evaluation boards to simplify processes of configuration, data logging, and the analysis of key parameters such as the signal-to-noise ratio full scale (SNRFS) and spurious-free dynamic range (SFDR). …”
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  6. 366

    EcoptiAI: E-Commerce Process Optimization and Operational Cost Minimization Through Task Automation Using Agentic AI by Olivia-Roxana Alecsoiu, Nuruzzaman Faruqui, Andreea Anamaria Panagoret, Ceausescu Aurelian Ionut, Dragos Mihai Panagoret, Rares-Vladimir Nitu, Miruna Angela Mutu

    Published 2025-01-01
    “…The rapid expansion of e-commerce has increased the complexity of operational processes, making it challenging to manage tasks such as product cataloging, customer responses, delivery updates, and feedback collection efficiently. …”
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    Decontamination of N95 and surgical masks using a treatment based on a continuous gas phase-Advanced Oxidation Process. by Mahdiyeh Hasani, Tracey Campbell, Fan Wu, Keith Warriner

    Published 2021-01-01
    “…A suitable treatment for N95 masks was identified as 3% v/v hydrogen peroxide delivered into the gAOP reactor at 40 ml/min with continuous introduction of ozone gas and a UV-C dose of 113 mJ/cm2 (30 s processing time). The treatment supported >6 log CFU decrease in Geobacillus stearothermophilus endospores, > 8 log reduction of human coronavirus 229E, and no detection of Escherichia coli K12 on the interior and exterior of masks. …”
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  10. 370

    Geochemical-process extraction and interpretation using matrix factorization: a framework for verifying effectiveness through forward modeling and inversion analysis by Tatsu Kuwatani, Shotaro Akaho, Shotaro Akaho, Kengo Nakamura, Takeshi Komai

    Published 2025-04-01
    “…Among these methods, ICA combined with log-ratio transformation provided the most accurate separation of independent geochemical processes, particularly under ideal conditions with sufficient samples. …”
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  11. 371

    Effect of dietary commercially processed former foodstuffs on broiler meat microbiological quality, physico-chemical traits and shelf-life extension by Karthika Srikanthithasan, Laura Menchetti, Marta Castrica, Dino Miraglia, Chiara Bianchi, Andrea Giorgino, Elena Diaz Vicuna, Edoardo Fiorilla, Marta Gariglio, Achille Schiavone, Claudio Forte

    Published 2025-06-01
    “…Specifically, at T5, TVC counts were: cFF0=6.35, cFF12.5 = 5.86, and cFF25=4.99 Log CFU/g (P < 0.01). Similarly, for B. thermosphacta, the counts at T5 were: cFF0=5.12, cFF12.5 = 4.69 (P < 0.05), and cFF25=4.58 Log CFU/g (P < 0.01). …”
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    Construct a Tool for Aspect-Oriented Analysis and Design Based on Theme Approach by Nada Saleem, Mohammad Abdulwahab

    Published 2012-12-01
    “…RADC-AO automatically identifies crosscutting concerns in natural language requirements text by using natural language processing (NLP), analyze requirements and apply a set of operations on themes got in the analysis process, design classes and aspects, draw class diagram, and generates stub-code. …”
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  15. 375

    Construction of advanced persistent threat attack detection model based on provenance graph and attention mechanism by Yuancheng LI, Hao LUO, Xinyu WANG, Jiexuan YUAN

    Published 2024-03-01
    “…In response to the difficulty of existing attack detection methods in dealing with advanced persistent threat (APT) with longer durations, complex and covert attack methods, a model for APT attack detection based on attention mechanisms and provenance graphs was proposed.Firstly, provenance graphs that described system behavior based on system audit logs were constructed.Then, an optimization algorithm was designed to reduce the scale of provenance graphs without sacrificing key semantics.Afterward, a deep neural network (DNN) was utilized to convert the original attack sequence into a semantically enhanced feature vector sequence.Finally, an APT attack detection model named DAGCN was designed.An attention mechanism was applied to the traceback graph sequence.By allocating different weights to different positions in the input sequence and performing weight calculations, sequence feature information of sustained attacks could be extracted over a longer period of time, which effectively identified malicious nodes and reconstructs the attack process.The proposed model outperforms existing models in terms of recognition accuracy and other metrics.Experimental results on public APT attack datasets show that, compared with existing APT attack detection models, the accuracy of the proposed model in APT attack detection reaches 93.18%.…”
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    Effective inactivation of fungi in grain using atmospheric pressure cold plasma by Mohammad Naghi Eshtiaghi, Nithima Nakthong, Bahram Hosseinzadeh Samani, Kimia Taki, Soontorn Tuntithavornwat

    Published 2025-04-01
    “…The MINI ACP system achieved over a 4-log reduction in fungal counts within 2 min, with a 5-log reduction observed upon extending the treatment duration. …”
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