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  • machine learning  (586)
  • thema EDItEUR::N History and Archaeology::NH History  (386)
  • bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology  (370)
  • thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
  • thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment
  • MDPI - Multidisciplinary Digital Publishing Institute  (1,081)
  • Firenze University Press  (158)
  • transcript Verlag  (114)
  • FrancoAngeli  (88)
  • UCL Press  (34)
  • English  (1,376)
  • German  (99)
Collection
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Language
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  • 1
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    Chapter New artificial reef in coastal protection reconversion and electric power production (2023)
    Firenze University Press
    Details
    Publication Date: 2024-04-09
    Description: The proposal is founded to reconversion the existing breakwaters and artificial nourishments with an artificial reef positioned on the “calm belt” for mimics the location of coral reef. This calm is characterized by the conversion of pulsing vertical wave offshore energy into inshore horizontal currents. The soft barrier, far from the storm surges, diminish water velocity with no erosion in excess and electric power generation. Moreover, the turbines have the impeller semi-submerged and close to an indifferent buoyancy, in order to favor the number of revolutions at minimum currents
    Keywords: Soft artificial reef ; Reconversion breakwater ; Erosion control ; Wave Energy Converter ; Beach recovery ; Posidonia nursery ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment
    Language: English
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  • 2
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    Advances in Computer-Aided Technology (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
    Language: English
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  • 3
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    Chapter The Chapel of Sant’Agata in Pisa. 3D surveying, Artificial Intelligence and archival heritage (2022)
    FrancoAngeli
    Details
    Publication Date: 2024-04-04
    Description: The 43rd UID conference, held in Genova, takes up the theme of ‘Dialogues’ as practice and debate on many fundamental topics in our social life, especially in these complex and not yet resolved times. The city of Genova offers the opportunity to ponder on the value of comparison and on the possibilities for the community, naturally focused on the aspects that concern us, as professors, researchers, disseminators of knowledge, or on all the possibile meanings of the discipline of representation and its dialogue with ‘others’, which we have broadly catalogued in three macro areas: History, Semiotics, Science / Technology. Therefore, “dialogue” as a profitable exchange based on a common language, without which it is impossible to comprehend and understand one another; and the graphic sign that connotes the conference is the precise transcription of this concept: the title ‘translated’ into signs, derived from the visual alphabet designed for the visual identity of the UID since 2017. There are many topics which refer to three macro sessions: - Witnessing (signs and history) - Communicating (signs and semiotics) - Experimenting (signs and sciences) Thanks to the different points of view, an exceptional resource of our disciplinary area, we want to try to outline the prevailing theoretical-operational synergies, the collaborative lines of an instrumental nature, the recent updates of the repertoires of images that attest and nourish the relations among representation, history, semiotics, sciences.
    Keywords: Discipline of representation, History, Semiotics, Science, Technology ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GT Interdisciplinary studies::GTD Semiotics / semiology ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society
    Language: Italian , English
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  • 4
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    Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-06-21
    Description: This book introduces novel results on mathematical modelling, parameter identification, and automatic control for a wide range of applications of mechanical, electric, and mechatronic systems, where undesirable oscillations or vibrations are manifested. The six chapters of the book written by experts from international scientific community cover a wide range of interesting research topics related to: algebraic identification of rotordynamic parameters in rotor-bearing system using finite element models; model predictive control for active automotive suspension systems by means of hydraulic actuators; model-free data-driven-based control for a Voltage Source Converter-based Static Synchronous Compensator to improve the dynamic power grid performance under transient scenarios; an exact elasto-dynamics theory for bending vibrations for a class of flexible structures; motion profile tracking control and vibrating disturbance suppression for quadrotor aerial vehicles using artificial neural networks and particle swarm optimization; and multiple adaptive controllers based on B-Spline artificial neural networks for regulation and attenuation of low frequency oscillations for large-scale power systems. The book is addressed for both academic and industrial researchers and practitioners, as well as for postgraduate and undergraduate engineering students and other experts in a wide variety of disciplines seeking to know more about the advances and trends in mathematical modelling, control and identification of engineering systems in which undesirable oscillations or vibrations could be presented during their operation.
    Keywords: B-spline neural networks ; adaptive power system control ; coordinated multiple controllers ; StatCom ; exact plate theory ; thick plate ; bending vibration ; partial differential operator theory ; gauge condition ; data-driven control ; reactive power compensation ; STATCOM ; voltage control ; voltage source converter ; quadrotor UAV ; artificial neural networks ; robust control ; Taylor series ; B-splines ; particle swarm optimization ; active suspension ; model predictive control ; linear parameter varying ; ellipsoidal set ; attraction sets ; quadratic stability ; algebraic identification ; rotor-bearing system ; finite element model ; rotordynamic coefficients ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 5
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    Organic Polymers for Encapsulation of Drugs, Food Ingredients and Agrochemicals (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-03-07
    Description: This Reprint Book provides recent studies addressing encapsulation systems for active compounds (e.g., drugs and food ingredients) to improve the quality of life around the world. The content may be helpful for the colleagues and students working on encapsulation of active compounds.
    Keywords: carboxymethyl chitosan ; mangosteen ; deodorant ; skin moisturizing ; trans-2-nonenal ; accelerated stability test ; guava ; carotenoids ; microencapsulation ; mucilage ; spray-drying ; aloe vera ; Opuntia ficus-indica ; ar-turmerone ; polymeric nanoparticles ; anticancer activity ; release study ; biodegradable polymers ; apple fiber ; trehalose ; sucrose ; blackberry phenolics ; blackberry volatiles ; starch ; Bisphenol A ; Moringa leaf extract ; encapsulating Moringa leaf extract ; nanoparticles ; alginate ; chitosan ; Ib-M peptides ; E. coli ; peptide stability ; polyethylene glycol methacrylate ; oregano ; phenolic compounds ; nanoencapsulation ; bioaccessibility ; curcumin ; zebrafish embryogenesis ; oxidative stress ; neuroprotection ; PCL nanoparticles ; paraquat ; grafted microparticles ; sodium hyaluronate ; crosslinked microparticles ; metronidazole adsorption ; adsorption isotherm ; adsorption kinetics ; metronidazole release ; polyelectrolyte ; complex coacervate ; polyamine ; stimulus-responsive materials ; controlled release ; encapsulation ; hybrids ; clay ; sodium alginate ; rosemary essential oil ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 6
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    Education and Sustainable Development Goals (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-02
    Description: This reprint addresses the relationship between education and sustainability from various perspectives. The main issues discussed in the 12 collected papers are concerned with (1) the quality of education, (2) SDG policy and implementation, (3) education and societal development, (4) students’ learning, and (5) global experience.
    Keywords: bridging academics ; regional sustainability ; knowledge diffusion ; public–private partnership ; multi-node knowledge link model ; stakeholders ; paradox of Chinese learners ; learning concept ; virtue model ; mind model ; Confucian culture ; mindset intervention ; interaction ; iterative process ; persuasive ; stealthy ; education for sustainable development ; China ; education policy ; sustainable development ; ESD ; SDGs ; sustainability ; higher education ; indicators ; rankings ; assessment ; university rankings ; green universities ; green campus ; education ; learning ; educational innovation ecosystem ; education sustainability ; university-industry collaboration ; Chinese higher education ; digital age ; talents cultivation ; information literacy ; online learning process ; innovation performance ; nature education ; urban residents ; perception ; survey ; sustainable growth ; social-emotional skills ; self-management skills ; solution-focused ; Kids’Skills method ; education partnership assistance ; common prosperity ; balanced and sustainable development ; capacity building ; professional learning communities in interdisciplinary subjects ; teachers’ professional development ; teacher learning ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JN Education
    Language: English
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  • 7
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    Novel Approaches for Nondestructive Testing and Evaluation (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.
    Keywords: composites ; multi-scale ; embedded damage ; non-destructive testing ; photoacoustic ; ultrasonic representation ; terahertz ; coded-aperture imaging ; convolution neural network (CNN) ; fast image reconstruction ; nondestructive evaluation ; acoustic nonlinearity parameter ; indirect method ; laser ultrasound ; fully non-contact ; surface acoustic wave ; UWB-PPM ; UWB-OOK ; buried objects ; nondestructive environment ; Levenberg–Marquardt method ; textured surface anomaly detection ; computer vision ; deep learning ; attention mechanism ; adaptive fusion ; power quality disturbances ; long short term memory ; convolutional neural network ; short time Fourier transform ; leaky Lamb wave ; semi-analytical finite element (SAFE) ; waveguide sensor ; finite-width plate ; waveguide plate ; width modes ; spatial beating ; Rayleigh–Sommerfeld integral (RSI) ; weld cracks ; eddy current nondestructive testing ; gradiently relative magnetic permeability ; heat affected zone ; austenitic stainless steel ; circulating fluidized bed combustion boiler ; water-cooled wall tube ; magnetic sensor array ; magnetic flux density ; flexible ultrasonic probe ; neutron irradiation embrittlement ; reactor pressure vessel ; magnetic nondestructive evaluation ; micromagnetic multiparameter microstructure and stress analysis 3MA ; magnetic adaptive testing ; 3D imaging of metal grains ; non-destructive testing methods ; stacking images ; SA106 carbon steel ; terahertz waves ; refractive index ; thickness measurement ; Shim stock films ; composite materials ; reflection mode ; neutron radiography ; Bragg-edge imaging ; gas tungsten arc welding (GTAW) ; low transformation temperature (LTT) steel ; austenite-to-martensite transformation ; Debye–Waller factor ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 8
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    Physical Metallurgy of Metals and Alloys (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-08-08
    Description: This reprint focuses on both advanced metals and their alloys and the areas of physical and process metallurgy, materials science, and processing techniques. Specific areas of interest also include titanium/nickel-based superalloys, intermetallics, advanced metallic materials, nanomaterials, metal matrix composites, functional materials, related synthesis and processing techniques, finite element modelling, statistical analysis, physical/mechanical property characterization, experimental validation, and other relevant phenomena. Physical metallurgy is important in the design and optimization of advanced materials with superior physical and mechanical properties through microstructural modifications and processing techniques. The goal of reprint was to bring together recent progress, novel technologies, and advanced equipment for the design and development of advanced metals and alloys and provide guidelines/benchmarks for further research in related areas. Composites, intermetallics, and nanomaterials as well as functional materials will be also included. Some of the recent advances in the field of advanced metals and alloys include novel material processing techniques, manufacturing methods and theories, microstructural characterization, modelling development, and advanced equipment. Conventional and nonconventional processes related to machining, forming, laser processing, additive/subtractive manufacturing, surface modification, and the solidification of high-performance alloys/metals are also included.
    Keywords: Fe-rich Al–Si alloy ; β-Al5FeSi phase ; cooling rate ; melt spinning ; microstructure ; strengthening mechanisms ; Zn-Mg-Ti alloy ; biodegradable metals ; mechanical properties ; cytotoxicity ; Fe-B-W alloy ; manganese ; aluminum ; molten zinc ; microanalysis ; corrosion ; hydrogenated–dehydrogenated titanium powder ; laser directed energy deposition ; mechanical property ; radio frequency plasma technique ; high entropy alloy ; bulk metallic glass ; similar element substitution/addition ; glass forming ability ; lattice distortion ; sapphire ; surface metallization ; deposition mechanism ; wettability ; low-temperature joining ; silver alloy bonding wire ; bonding strength ; vulcanization resistance ; cathodic passivation ; Mg–Nd alloy ; precipitate ; eutectic growth ; modelling and simulation ; recrystallization ; microstructure-property characterization simulation and modeling ; heat treatment and surface treatment ; TC4 alloy ; EBCHM ; aging treatment ; glass-forming ability ; corrosion behavior ; amorphous alloy ; phase transformation ; mechanical behavior ; corrosion wear resistance ; gear grinding ; white layer ; grinding temperature ; surface integrity ; AlSi10Mg alloy ; friction stir processing ; grain boundary ; texture ; dynamic recrystallization ; silver wire ; wire bonding ; chloride ions ; ion migration ; galvanic corrosion ; Cu-15Ni-8Sn alloys ; grain size ; solution treatment ; microalloying ; microstructural evolution ; laser-powder bed fusion ; MgAl2O4 ; TiB2 ; metallothermic reduction ; SHS powder metallurgy ; combustion wave propagation ; HSLA steel ; microstructural characterization ; laser welding ; thick plate ; corrosion resistance ; high entropy alloys ; lightweight ; magnesium alloys ; ultrasound treatment ; solution ; aging ; Mg17Al12 ; converter ; vortex ; flow field analysis ; numerical simulation ; steel ball ; skew rolling ; cold forming ; stainless steel ; copper–scandium CuSc ; copper alloy ; differential scanning calorimetry DSC ; precipitation kinetics ; cold-working ; cold-rolling ; activation energy ; Kissinger method ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 9
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    Machine Learning and Data Mining Applications in Power Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
    Language: English
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  • 10
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    Artificial Intelligence Techniques in Hydrology and Water Resources Management (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
    Language: English
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