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  • Books  (350)
  • 550 - Earth sciences
  • Chemical Engineering
  • General Chemistry
  • Humans
  • artificial intelligence
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  • 1
    Keywords: computer and information science ; artificial intelligence
    Pages: Online-Ressource (254 Seiten)
    ISBN: 9789535109211
    Language: English
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  • 2
    Keywords: Biomass conversion ; Biotechnology ; Chemical Engineering ; Chemistry industry ; Industrial Chemistry ; Kent ; Riegel ; biochemical engineering
    Description / Table of Contents: Substantially revising and updating the classic reference in the field, this handbook offers a valuable overview and myriad details on current chemical processes, products, and practices. No other source offers as much data on the chemistry, engineering, economics, and infrastructure of the industry. The Handbook serves a spectrum of individuals, from those who are directly involved in the chemical industry to others in related industries and activities. It provides not only the underlying science and technology for important industry sectors, but also broad coverage of critical supporting topics. Industrial processes and products can be much enhanced through observing the tenets and applying the methodologies found in chapters on Green Engineering and Chemistry (specifically, biomass conversion), Practical Catalysis, and Environmental Measurements; as well as expanded treatment of Safety, chemistry plant security, and Emergency Preparedness. Understanding these factors allows them to be part of the total process and helps achieve optimum results in, for example, process development, review, and modification. Important topics in the energy field, namely nuclear, coal, natural gas, and petroleum, are covered in individual chapters. Other new chapters include energy conversion, energy storage, emerging nanoscience and technology. Updated sections include more material on biomass conversion, as well as three chapters covering biotechnology topics, namely, Industrial Biotechnology, Industrial Enzymes, and Industrial Production of Therapeutic Proteins.
    Pages: Online-Ressource (XIV, 1562 pages)
    ISBN: 9780387278438
    Language: English
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  • 3
    Unknown
    Rijeka : InTech
    Keywords: artificial intelligence ; pattern recognition
    Description / Table of Contents: Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition. This book is an edited volume and has six chapters arranged into two sections, namely, pattern recognition analysis and pattern recognition applications. This book will be useful for graduate students, researchers, and practicing engineers working in the field of machine vision and computer science and engineering.
    Pages: Online-Ressource (134 Seiten)
    ISBN: 9789535128045
    Language: English
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  • 4
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    IntechOpen | IntechOpen
    Publication Date: 2023-09-05
    Description: Type 1 diabetes is a complex and challenging health condition that affects up to 2% percent of the global population. This book provides a comprehensive overview of this chronic clinical entity, focusing on causes, development, and management. It includes nine chapters that address such topics as managing diabetes using insulin and medical devices such as pens and pumps, how lifestyle affects diabetes, biomarkers for the disease, and much more.
    Keywords: insulin ; type 1 diabetes mellitus ; artificial intelligence ; biomarkers ; apoptosis ; diabetes mellitus ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJG Endocrinology
    Language: English
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    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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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; 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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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: Connected intelligent sensing reshapes our society by empowering people with increasing new ways of mutual interactions. As integration technologies keep their scaling roadmap, the horizon of sensory applications is rapidly widening, thanks to myriad light-weight low-power or, in same cases even self-powered, smart devices with high-connectivity capabilities. CMOS integrated circuits technology is the best candidate to supply the required smartness and to pioneer these emerging sensory systems. As a result, new challenges are arising around the design of these integrated circuits and systems for sensory applications in terms of low-power edge computing, power management strategies, low-range wireless communications, integration with sensing devices. In this Special Issue recent advances in application-specific integrated circuits (ASIC) and systems for smart sensory applications in the following five emerging topics: (I) dedicated short-range communications transceivers; (II) digital smart sensors, (III) implantable neural interfaces, (IV) Power Management Strategies in wireless sensor nodes and (V) neuromorphic hardware.
    Keywords: wake-up receiver ; digital controller ; reliability ; electronic toll collection (ETC) system ; dedicated short range communication (DSRC) ; temperature compensation ; piezoresistive ; pressure sensor ; negative temperature coefficient ; ACE-Q100 ; CMOS ; epilepsy ; seizure ; multichannel neural recording ; feature extraction ; closed-loop neurostimulator ; low-power ; low-noise amplifier ; implantable medical device ; switched capacitor ; voltage converter ; wide load range ; multiphase operation ; variable frequency ; integrated circuits ; EEPROM reprogrammable fuses ; memory cells ; trimming techniques with fuses ; digital temperature sensor ; temperature sensor with digital serial interface ; asynchronous control logic ; successive approximation register (SAR) ; wireless access in vehicular environments (WAVE) ; low power consumption ; capacitive digital to analog converter (CDAC) ; CMOS neural amplifier ; AC coupling ; pseudoresistor ; nonlinear distortion ; area-efficient design ; sensor node ; power mode ; wireless sensor networks ; power management ; spiking neural network ; leaky integrate and fire ; neuromorphic ; artificial neural networks ; artificial intelligence ; image classification ; capacitance-to-digital converter ; iterative-delay-chain discharge ; CMOS capacitive sensor interface ; 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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-01
    Description: Scale up and implementation of new point-of-care (POC) diagnostics is a global health priority to enable the adoption of new evidence-based POC diagnostics and to replicate and extend the reach of POC diagnostics. Global private and public sector agencies have significantly increased their investment in the development of POC diagnostics to meet the unmet needs of patients in resource-limited settings, particularly disease burdened settings with limited access to laboratory infrastructure. However, previous research has demonstrated that the availability of health technologies in these settings does not always guarantee patient-centered outcomes. The applicability, effectiveness and sustainability of diagnostic technologies is affected by the involvement of all stakeholders during planning and implementation, which must be relevant to each specific context and sensitive to local culture. Factors such as infrastructure, resources, values and characteristics of participants can influence the implementation, scalability and sustainability of health interventions such as POC diagnostics. This book, “Implementation and Scale up of Point of Care (POC) Diagnostics in Resource-Limited Settings”, presents literature reviews and primary research studies focusing on the implementation and scale up of POC diagnostics in resource-limited settings.
    Keywords: point-of-care-ultrasound ; ultrasound ; implementation ; point of care ultrasound ; augmented reality ; telemedicine ; spatial accessibility ; blood group ; rhesus type ; point-of-care testing ; maternal healthcare ; Upper East Region ; Ghana ; point-of-care ultrasound ; medical education ; syphilis ; maternal mortality ; interrupted time series ; segmented regression analysis ; point-of-care CD4+ t testing ; qualitative survey ; acceptability ; patients ; healthcare providers ; primary healthcare clinics ; HIV self-testing ; scale-up ; key stakeholder ; quality HIV point-of-care-diagnostics ; nominal group technique ; stakeholder engagement ; self-testing ; novel coronavirus disease-19 ; blockchain ; artificial intelligence ; geographical access ; glucose-6-phosphate dioxygenase deficiency ; antenatal care ; upper east region ; schistosomiasis ; barriers to diagnostics ; access to healthcare ; end-user perspectives ; neglected tropical diseases ; Nigeria ; case management ; electronic health information system ; diagnosis ; treatment ; point-of-care ; low and middle income countries ; point-of-care diagnostics ; healthcare services ; COVID-19 era ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
    Language: English
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  • 9
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-04
    Description: Numerical simulation is a powerful tool used in various fields of science and engineering to model complex systems and predict their behavior. It involves developing mathematical models that describe the behavior of a system and using computer algorithms to solve these models numerically. By doing so, researchers and engineers can study the behavior of a system in detail, which may only be possible with analytical methods. Numerical simulation has many advantages over traditional analytical methods. It allows researchers and engineers to study complex systems’ behavior in detail and predict their behavior in different scenarios. It also allows for the optimization of systems and the identification of design flaws before they are built. However, numerical simulation has its limitations. It requires significant computational resources, and the accuracy of the results depends on the quality of the mathematical models and the discretization methods used. Nevertheless, numerical simulation remains a valuable tool in many fields and its importance is likely to grow as computational resources become more powerful and widely available. Numerical simulation is widely used in physics, engineering, computer science, and mathematics. In physics, for example, numerical simulation is used to study the behavior of complex systems such as weather patterns, fluid dynamics, and particle interactions. In engineering, it is used to design and optimize systems such as aircraft, cars, and buildings. In computer science, numerical simulation models and optimization algorithms and data structures. In mathematics, it is used to study complex mathematical models and to solve complex equations. This book familiarizes readers with the practical application of the numerical simulation technique to solve complex analytical problems in different industries and sciences.
    Keywords: machine learning ; artificial intelligence ; optimization ; heat transfer ; cfd ; image processing ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
    Language: English
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: With the development of analytical instruments, the academic system has become more complicated, producing new journals one after another. Therefore, it became much important to clarify what is original of “Medicines”. As the name Medicines indicates, it includes science and practice of caring for a patient and managing the diagnosis, prognosis, prevention, treatment or palliation of their injury or disease. Therefore, Medicines differs from other journals with similar title in that it covers a wide range of fields, from traditional medicine to rapidly developing molecular-targeted drugs, focusing on their pharmacological effects, structure–activity relationships, metabolic pathways, gene expression, using cultured cells, animals, and clinical trials. Most parts of this Special Issue were written by our editorial board members, who described the research topics and how they are engaged in their field of research. All of these articles are their life-long story. We collected a total number of 22 original works by basic researchers and clinical doctors. We hope that readers can get a chance to know the current status of diverse fields of medicines, and what your most important research themes are after reading these articles.
    Keywords: Hedychium ; traditional medicine ; coronarin D ; villosin ; anti-acetylcholinesterase ; antidiabetic ; anti-inflammatory ; antimicrobial ; antioxidant ; antitumor ; Genista tridentata ; Pterospartum tridentatum ; isoflavones ; flavonols ; genistein ; biochanin A ; rutin ; daidzein ; inflammatory bowel disease ; Crohn’s disease ; ulcerative colitis ; extra-intestinal manifestations ; orofacial granulomatosis ; tag-like lesions ; cobblestoning ; mucogingivitis ; lip swelling ; aphthous stomatitis ; Angelicae Sinensis Radix ; Danggui ; granules ; herb ; multivariate analysis ; ultra-performance liquid chromatography ; Tai Chi ; qigong ; immune system ; immunity ; inflammation ; telemedicine ; remote monitoring ; GER-e-TEC ; elderly patient ; artificial intelligence ; geriatric syndromes ; detection of the precursory signs of decompensation of geriatric syndromes ; renal cell cancer ; genomic landscape ; targeted therapy ; tumor evolution ; tumor heterogeneity ; allergic rhinitis ; quercetin ; human CD4+ T cells ; Th1/Th2 cytokine balance ; modulation ; in vitro ; intravascular catheter ; CRBSI ; biofilm ; CVC ; antifouling ; chromone ; tumor specificity ; QSAR analysis ; apoptosis ; cell cycle analysis ; contrast-enhanced ultrasound ; hepatocellular carcinoma ; LI-RADS ; chronic liver disease ; granuloma annulare ; granulomatous disorders of the skin ; inflammatory skin conditions ; medical dermatology ; biliary tract cancer ; cholangiocarcinoma ; PARP ; BRCA ; olaparib ; rucaparib ; liver cancer ; pancreatic adenocarcinoma ; pancreatic cancer ; sarcoidosis ; superior vena cava syndrome ; venous thrombosis ; RUCAM ; Roussel Uclaf Causality Assessment Method ; diagnostic algorithm ; iDILI ; iDrug induced liver injury ; DILI ; HILI ; herb induced liver injury ; Stachys L. ; traditional uses ; pharmacological activities ; phytochemicals ; bioactive compounds ; Kampo formulae ; alkaline extract of Sasa sp. ; pine cone extract ; povidone-iodine ; HSV ; HIV ; loss of infectivity ; solubilization method ; diaphragmatic breathing ; abdominal breathing ; breathing exercise ; systematic review ; randomized controlled trial ; respiratory function ; auricular acupuncture ; preoperative anxiety ; protocol ; randomized controlled trials ; meta-analysis ; boiogito ; knee osteoarthritis ; rat ; Yokukansan ; fentanyl ; transient receptor potential ankyrin 1 (TRPA1) channel ; phosphorylated extracellular signal-regulated kinase (pERK) ; whole-cell patch-clamp recording ; herbal medicine ; calcium metabolism ; bone metabolism ; protease ; osteoclast ; macrophage ; RANKL ; LPS ; TLR4 ; TREM2 ; bic Book Industry Communication::M Medicine
    Language: English
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