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Drifting pitch awareness after exposure to altered auditory feedback ...
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ФЕМІНІЗАЦІЯ УКРАЇНСЬКОГО ЖІНОЧОГО ЛЕКСИКОНУ: ЛІНГВОЕКОЛОГІЧНИЙ ВИМІР ...
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ФЕМІНІЗАЦІЯ УКРАЇНСЬКОГО ЖІНОЧОГО ЛЕКСИКОНУ: ЛІНГВОЕКОЛОГІЧНИЙ ВИМІР ...
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Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3503 (2022)
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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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Effects of Japanese Special Moras Education Using Evernote
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In: Education Sciences; Volume 12; Issue 4; Pages: 270 (2022)
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Results and Strategies for a Diversity-Oriented Public Health Monitoring in Germany
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 2; Pages: 798 (2022)
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Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis
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In: Forests; Volume 13; Issue 2; Pages: 264 (2022)
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Assessment of Communication Abilities in Four Children with Early Bilateral CIs in Clinical and Home Environments with LENA System: A Case Report
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In: Children; Volume 9; Issue 5; Pages: 659 (2022)
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Distinct signatures of subjective confidence and objective accuracy in speech prosody
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03181668 ; Cognition, Elsevier, 2021, 212, pp.104661. ⟨10.1016/j.cognition.2021.104661⟩ (2021)
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Distinct signatures of subjective confidence and objective accuracy in speech prosody
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.sorbonne-universite.fr/hal-03263512 ; Cognition, Elsevier, 2021, 212, pp.104661. ⟨10.1016/j.cognition.2021.104661⟩ (2021)
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Cerebellar and Cortical Correlates of Internal and External Speech Error Monitoring
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In: ISSN: 2632-7376 ; EISSN: 2632-7376 ; Cerebral Cortex Communications ; https://hal.archives-ouvertes.fr/hal-03340216 ; Cerebral Cortex Communications, Oxford University Press, 2021, 2, ⟨10.1093/texcom/tgab038⟩ (2021)
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The Use of Motivational Strategies to Enhance Academic Outcomes of Cover, Copy, and Compare Mathematics Intervention
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Kasser, Tali. - : eScholarship, University of California, 2021
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Comprehension Monitoring: The Metacognitive Process of Reading Comprehension Examined via Eye-Movement Methodology
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Hypopharyngeal-Esophageal Impedance-pH Monitoring Profiles of Laryngopharyngeal Reflux Patients
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In: ISSN: 0023-852X ; Laryngoscope ; https://hal.archives-ouvertes.fr/hal-03141466 ; Laryngoscope, Wiley, 2021, 131 (2), pp.268-276. ⟨10.1002/lary.28736⟩ (2021)
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Does Pepsin Saliva Concentration (Peptest™) Predict the Therapeutic Response of Laryngopharyngeal Reflux Patients?
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In: ISSN: 0003-4894 ; EISSN: 1943-572X ; Annals of Otology Rhinology and Laryngology ; https://hal.archives-ouvertes.fr/hal-03401798 ; Annals of Otology Rhinology and Laryngology, SAGE Publications, 2021, 130 (9), pp.996-1003. ⟨10.1177/0003489420986347⟩ (2021)
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MODERN MEANS OF EVALUATING THE RESULTS OF LEARNING FOREIGN LANGUAGES ...
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Отдельные элементы мониторинга деятельности федеральных органов исполнительной власти ... : Individual Elements of Monitoring the Activities of Federal Executive Bodies ...
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Mechanism for preventing and counteracting legalization (laundering) of proceeds from crime in the financial security system of the banking system ...
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