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Ukraine : la guerre des mèmes
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In: ISSN: 2431-2134 ; The Conversation ; https://halshs.archives-ouvertes.fr/halshs-03651494 ; The Conversation, The Conversation France, 2022 (2022)
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Cross-lingual few-shot hate speech and offensive language detection using meta learning
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022)
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Efficiency of Use of Internet Resources in Teaching a Foreign Language at Non-Linguistic Universities ...
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An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework ...
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A Review on Machine Learning, Artificial Intelligence, and Smart Technology in Water Treatment and Monitoring
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In: Water; Volume 14; Issue 9; Pages: 1384 (2022)
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Abstract:
Artificial-intelligence methods and machine-learning models have demonstrated their ability to optimize, model, and automate critical water- and wastewater-treatment applications, natural-systems monitoring and management, and water-based agriculture such as hydroponics and aquaponics. In addition to providing computer-assisted aid to complex issues surrounding water chemistry and physical/biological processes, artificial intelligence and machine-learning (AI/ML) applications are anticipated to further optimize water-based applications and decrease capital expenses. This review offers a cross-section of peer reviewed, critical water-based applications that have been coupled with AI or ML, including chlorination, adsorption, membrane filtration, water-quality-index monitoring, water-quality-parameter modeling, river-level monitoring, and aquaponics/hydroponics automation/monitoring. Although success in control, optimization, and modeling has been achieved with the AI methods, ML models, and smart technologies (including the Internet of Things (IoT), sensors, and systems based on these technologies) that are reviewed herein, key challenges and limitations were common and pervasive throughout. Poor data management, low explainability, poor model reproducibility and standardization, as well as a lack of academic transparency are all important hurdles to overcome in order to successfully implement these intelligent applications. Recommendations to aid explainability, data management, reproducibility, and model causality are offered in order to overcome these hurdles and continue the successful implementation of these powerful tools.
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Keyword:
artificial intelligence; hydroponics; Internet of Things; machine learning; monitoring; water treatment
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URL: https://doi.org/10.3390/w14091384
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Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
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In: Sensors; Volume 22; Issue 5; Pages: 1799 (2022)
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Nomophobia and Its Associated Factors in Peruvian Medical Students
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5006 (2022)
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Predicting the Success of Internet Social Welfare Crowdfunding Based on Text Information
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1572 (2022)
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The Role of Internet Development in China’s Grain Production: Specific Path and Dialectical Perspective
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In: Agriculture; Volume 12; Issue 3; Pages: 377 (2022)
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Mid-Pandemic Pedagogy: A Candid Dialogue between Student and Literature Professor
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In: Literature; Volume 2; Issue 2; Pages: 62-76 (2022)
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MOCKERY AND PROVOCATION FOR FUN: LEXICAL AND SEMANTIC REPRESENTATION IN THE RUSSIAN LANGUAGE ...
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The mediating role of parents and school in peer aggression problems ; Posredniška vloga staršev in šole pri vrstniškem nasilju
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In: CEPS Journal 12 (2022) 1, S. 169-188 (2022)
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Ukraine : la guerre des mèmes
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In: ISSN: 2431-2134 ; The Conversation ; https://halshs.archives-ouvertes.fr/halshs-03651494 ; The Conversation, The Conversation France, 2022 (2022)
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Toward an Epistemic Web
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In: 197 ; RatSWD Working Paper Series ; 22 (2022)
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Invective Gaze - Das digitale Bild und die Kultur der Beschämung
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In: 99 ; Edition Medienwissenschaft ; 206 (2022)
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Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum
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Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
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In: 46 ; Digitale Gesellschaft ; 327 (2022)
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Investigating the potential of a novel Internet-based cognitive behavioural intervention for Dari and Farsi speaking refugee youth: a feasibility study
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Deixis de interfaz o cómo mejorar la redacción publicitaria en internet ; Deixis of interface or how to improve advertising writing on the Internet
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Pallarés Maiques, Majo. - : Universidad de Alicante. Grupo de Investigación Comunicación y Públicos Específicos (COMPUBES), 2022
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COVID-19 и опыт виртуальной коммуникации греко-католического владыки с паствой ; COVID-19 and a Greek Catholic Hierarch’s Experience of Virtual Communication with Parishioners
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