Showing 2,661 - 2,680 results of 3,438 for search '"AI"', query time: 0.06s Refine Results
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    Challenges and Opportunities in Fog Computing Scheduling: A Literature Review by Wu Chia Chuan, Shams Ul Arfeen Laghari, Selvakumar Manickam, Erum Ashraf, Shankar Karuppayah

    Published 2025-01-01
    “…Nonetheless, both IoT and Artificial Intelligence (AI)-based applications face obstacles concerning the availability of computing resources, security, and constraints on energy consumption. …”
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  4. 2664
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    Central Aortic Pressure and Arterial Stiffness in Parkinson’s Disease: A Comparative Study by Mehmet Balal, Meltem Demirkiran, Saime Paydas

    Published 2022-01-01
    “…TensioMed Software v.3.0.0.1 was used to measure CAP, peripheral arterial blood pressure, pulse pressure (PP), heart rate (HR), mean arterial pressure (MAP), augmentation index (AI), pulse wave velocity, and ejection time. All patients were being treated with LD, and measurements were performed 1 h before and 1 h after LD intake. …”
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  6. 2666

    An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm by Zhiqing Zhang, Zicheng He, Yuguo Wang, Feng Jiang, Weihuang Zhong, Bin Zhang, Yanshuai Ye, Zibin Yin, Dongli Tan

    Published 2025-04-01
    “…In the era of industry 4.0, artificial intelligence (AI) offers new perspectives for researching the complex sustainable chemical reactions in selective catalytic reduction (SCR). …”
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  7. 2667

    Decentralized and Asymmetric Multi-Agent Learning in Construction Sites by Yakov Miron, Dan Navon, Yuval Goldfracht, Dotan Di Castro, Itzik Klein

    Published 2024-01-01
    “…As heuristics alone are insufficient in real-world scenarios, we utilize them to train AI agents, which proves to be highly effective. …”
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  8. 2668

    Understanding ChatGPT: Impact Analysis and Path Forward for Teaching Computer Science and Engineering by P. Banerjee, Anurag K. Srivastava, Donald A. Adjeroh, Ramana Reddy, Nima Karimian

    Published 2025-01-01
    “…Large Language Models (LLMs) like ChatGPT have become the most popular regenerative AI applications, used for obtaining responses for queries in different domains. …”
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  9. 2669

    Estimation of crossbreeding and genetic parameters for reproductive traits of Boer x Central Highland goats in Ethiopia. by Zeleke Tesema, Belay Deribe, Mekonnen Tilahun, Alemu Kefale, Getachew Worku Alebachew, Kefyalew Alemayehu, Tesfaye Getachew, Damitie Kebede, Mengistie Taye, Solomon Gizaw

    Published 2023-01-01
    “…Variance, heritability, and repeatability estimates were estimated through the AI-REML algorithm using WOMBAT software. Genotype did not significantly (P>0.05) influence most of the reproductive traits studied except for gestation length. …”
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    The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community by Beibei Yang, Wei Lu, Yan Xuan, Chongqi Hao, Xiaojun Huang

    Published 2025-01-01
    “…The sentiment analysis application program interface from Baidu AI-NLP is used to measure emotion state of patients and then the average value is included (EmoStai). …”
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  13. 2673

    Dalla crescita turistica di un villaggio alla delocalizzazione della sua popolazione: fenomenologia di una relazione gerarchica tra lo stato cinese e la minoranza nazionale wa by Sarah Coulouma

    Published 2020-03-01
    “…La promozione e lo sviluppo turistico del villaggio wa di Wengding, soprannominata “l'ultima tribù primitiva” della Cina dagli attori pubblici e privati della sua nascita turistica, si basa su una serie di installazioni e disposizioni dello spazio del villaggio e delle attività turistiche che tendono a oggettivare la primitività della “cultura di nazionalità Wa”, o addirittura degli stessi Wa. Ai margini territoriali della Repubblica popolare cinese, questo villaggio è di fatto una scenografia teatrale predisposta per rispondere alle aspettative e alle rappresentazioni dei visitatori, provenienti dalle città di etnia Han, nei confronti di questa comunità del villaggio, e d’altro lato esso è costretto a subire una relazione gerarchica tra la civiltà Han e questa nazionalità minoritaria. …”
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    RELATIONSHIP BETWEEN ADSORPTION-RHEOLOGICAL PROPERTIES OF SERUM IN HEMORRHAGIC VASCULITIS AND ECOLOGY IN REGIONS OF PATIENTS’ RESIDENCE by T.B. Bevzenko, I.Yu. Golovach, M. V. Yermolaieva, V.Ya. Mikuksts, O.V. Syniachenko

    Published 2017-03-01
    “…Indicators of surface viscosity (SV), bulk viscosity (BV), surface elasticity (SE), module of viscoelasticity (MV), relaxation time (RT), the surface tension at t = 0,01 sec (ST1) , t = sec 1 (ST2), t = 100 sec (ST3), and the equilibrium (static) surface tension at t (ST4), the angle of inclination (AI) and phasic angle (PA) of tensiograms were studied using computer tensioreometry of serum, surfactant criterion of interfacial activity (SCIA) were calculated. …”
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    Fat from Tenebrionidae Bugs - Sterols Content, Fatty Acid Profiles, and Cardiovascular Risk Indexes by Jiri Mlcek, Anna Adamkova, Martin Adamek, Marie Borkovcova, Martina Bednarova, Ivana Knizkova

    Published 2019-08-01
    “…From the nutritional point of view, the amount of cholecalciferol is also not negligible, which was 190 μg/kg DM in mealworm and 199 μg/kg DM in superworm. Atherogenic index (AI), thrombogenic index (TI), and cholesterol index (CSI) were calculated for both species and compared with the results of other authors. …”
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    The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis by Sachin Gupta, Neeraj Garg, Divyanshu Sinha, Babita Yadav, Bhoomi Gupta, Shahajan Miah

    Published 2022-01-01
    “…Using an artificial intelligence system that can effectively aid in CKD detection in time and suggest the required food nutrition for its treatment and recovery would reap immense benefits for healthcare professionals as well as the patient. ML is a part of AI technology that has been used for effective medical development. …”
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    Artificial intelligence as a factor revolutionizing higher education by Yu. B. Melnyk, I. S. Pypenko

    Published 2024-06-01
    “…Conclusions: The new technologies of generative artificial intelligence have been the factors that have revolutionised the industry of higher education. A new “Human-AI” system has emerged that is fundamentally changing the rules for training young professionals. …”
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