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  • Books  (18)
  • Chemistry
  • ddc:330
  • machine learning
  • English  (18)
  • 2020-2024  (18)
  • 2024  (18)
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  • 2020-2024  (18)
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  • 1
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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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  • 2
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-11
    Description: This book includes six chapters on wind turbine icing. For wind turbines operating in cold regions, icing often occurs on blade surfaces in winter. This ice accretion can change the aerodynamic shape of the blade airfoil, causing performance degradation and loss of power generation, even leading to operational accidents. This book focuses on the recent research progress on wind turbine icing. Chapters address such topics as the effect of icing conditions on the icing distribution characteristics of a blade airfoil for vertical-axis wind turbines, power loss estimation in wind turbines due to icing, wind turbine icing prediction methods, especially those using machine learning, the icing process of a single water droplet on a cold aluminum plate surface, the main theories of the icing adhesive mechanism, and theoretical and experimental studies on the ultrasonic de-icing method for wind turbine blades. This book is a valuable reference for researchers and engineers engaged in wind turbine icing and anti-icing research.
    Keywords: machine learning ; cfd ; numerical simulation ; artificial neural network ; wind energy ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production management. Specifically, monitoring plant health, growth conditions, and insect infestation has traditionally involved extensive fieldwork. We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural–human systems. This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop parameters mapping; Crop-related growth models, artificial intelligence models, algorithms, and precision management; Farmland environmental monitoring and management; Ground, air, and space platforms application in precision agriculture; Development and application of field robotics; High-throughput field information survey; Phenological monitoring.
    Keywords: soil moisture content ; spectral processing technology ; hyperspectral ; principal component analysis ; feature parameters extraction ; yield estimation ; rice ; unmanned aerial vehicle (UAV) ; tasseled cap transformation ; precision agriculture ; weed identification ; YOLOv4-Tiny ; attention mechanism ; multiscale detection ; angle normalization ; vegetation canopy reflectance ; geostationary satellite ; path length correction ; Minnaert model ; GOCI ; winter wheat ; LSTM ; LAI ; deep learning ; land use ; land cover ; classification ; random forest ; Sentinel data ; SRTM ; feature selection ; accuracy ; validation ; unmanned aerial vehicle ; soybean ; convolutional neural network ; multispectral imagery ; fusarium head blight ; texture indices ; machine learning ; cropland ; multi-seasonal ; fractal feature ; feature extraction ; accuracy evaluation ; black soil ; UAV ; chlorophyll ; fractional vegetation cover ; maturity monitoring ; anomaly detection ; smart agriculture ; detection of apple leaf diseases ; YOLOv5 ; transformer ; CBAM ; crop type classification ; multi-temporal ; remote sensing ; dairy cows ; body condition score ; 3D TOF sensor ; non-contact evaluation ; recognize area of interest ; sugarcane clones ; canopy cover ; light interception ; biomass ; cane yield ; peanut southern blight ; reflection spectrum ; spectral index ; continuous wavelet transform ; VGNet ; corn diseases ; leaf detection ; lightweight ; transfer learning ; agriculture ; 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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  • 4
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    IntechOpen | IntechOpen
    Publication Date: 2024-03-07
    Description: Access to health care is the ability to receive health services for the prevention, detection, and treatment of disorders that affect health. For health care to be accessible, it must be affordable and able to protect and improve health. There are myriad reasons that may make access to health services difficult or even impossible. These include economic problems, conflicts, climate change, internal and external migrations, beliefs, and so on. This book examines many of these barriers to health care and proposes solutions for overcoming them.
    Keywords: climate change ; public health ; primary health care ; machine learning ; breast cancer ; pandemic ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine::MBNH Personal & public health::MBNH9 Health psychology
    Language: English
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  • 5
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: This book provides an overview of Data and Decision Sciences (DDS) and recent advances and applications in space-based systems and business, medical, and agriculture processes, decision optimization modeling, and cognitive decision-making. Written by experts, this volume is organized into four sections and seven chapters. It is a valuable resource for educators, engineers, scientists, and researchers in the field of DDS.
    Keywords: machine learning ; simulation ; sustainable agriculture ; regression ; decision support system ; data analytics ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
    Language: English
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Biomedical sensors stand at the forefront of modern medical technologies, serving as indispensable components in diverse instruments and equipment. These sensors unravel the intricacies of biological processes and medical interventions. The recent surge in high-density sensor systems, characterized by arrangements in matrix arrays and other configurations, has ushered in a new era of functional evaluation. This spans electrophysiological activity, the metabolic responses of organs and tissues, and motor control analysis, all enriched with crucial spatial information. Functional mapping, a burgeoning approach in various biomedical techniques such as EEG, EMG, ECG, NIRS, and MEG, is proving to be transformative. Its integration enhances our comprehension of complex biological behaviors, where the precise spatial localization of sensing methodologies becomes paramount. The applications of functional mapping using biomedical sensors extend across multiple fields, including neuroscience, neuromuscular physiology, rehabilitation, and cardiology. Its utility ranges from diagnostic purposes to assessing the effectiveness of therapeutic interventions. The primary objective of this reprint was to collect papers that delineate the forefront of techniques, methods, and applications in the realm of biomedical sensors. Additionally, the focus extends to specific algorithms for data processing, ensuring a robust understanding of functional information intricately associated with spatial localization.
    Keywords: EMG ; EEG ; rehabilitation ; neuromotor ; evaluation ; assessment ; review ; machine learning ; biofeedback ; transfer learning ; random forest classifier ; COVID-19 ; intubation ; tracheoesophageal fistula ; tracheal lesions ; acute respiratory distress syndrome ; modeling ; intensive care unit ; muscle synergies ; whole body FES ; neurological patients ; photodynamic therapy ; fluorescence ; laser ; fluorophores ; enamel ; effective connectivity ; kurtosis ; resting-state connectivity ; stationarity ; sleep monitoring ; pressure bed sensor (PBS) ; unobtrusive measure ; multi-scale analysis ; sleep apnea–hypopnea syndrome (SAHS) ; shift-working ; optically detected magnetic resonance ; quantum magnetometer ; magnetoencephalography ; time domain ; functional near infrared spectroscopy ; diffuse optics ; brain ; hemodynamics ; resting-state brain oscillation ; mental workload ; signal processing ; reliability ; cognitive performance ; Simon task ; emotion detection ; valence ; arousal ; wearable sensors ; regression ; classification ; technology acceptance model ; rehabilitation exoskeletons ; therapists ; neuro-rehabilitation ; multiple linear regression ; Pearson’s correlation ; integrated sensor systems ; hand function ; hand osteoarthritis ; electromyography ; diagnosis ; discriminant analysis ; photoplethysmogram ; microcirculation ; deep learning ; convolutional neural network ; modelling ; 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
    Publication Date: 2024-01-08
    Description: This Special Issue delves into the strides made, challenges encountered, and research imperatives within the realm of Industrie 4.0 from both a scientific and practical standpoint. This publication features the voices of Industrie 4.0 pioneers Henning Kagermann and Wolfgang Wahlster, as well as leaders in research and industrial application of smart manufacturing concepts.
    Keywords: Industrie 4.0 ; intelligent manufacturing ; smart factories ; industrial artificial intelligence ; digital twins ; zero-defect manufacturing ; digital ecosystems ; China Manufacturing 2025 ; Industrial Internet ; Cloud Manufacturing ; digitalization ; small-medium enterprises ; new business models ; data democratization ; fourth industrial revolution ; smart manufacturing ; smart factory ; digital transformation ; industry ; sustainability ; sovereignty ; interoperability ; mass customization ; Industry 4.0 ; skills ; competencies ; bibliometric analysis ; survey ; Hungary ; maturity model ; transformation ; methodology ; Industry 4.0 strategy ; socio-technical system ; business transformation ; industrial implementation ; mergers and acquisitions ; knowledge management ; networking ; process management ; informational change ; scarce data ; machine learning ; information fusion ; development of work ; sociotechnical systems approach ; human-oriented work design ; D-SI ; DCC ; digital signature ; calibration ; servitization ; digital factory transformation ; smart services ; IoT ; AI ; internal services ; remote work ; COVID-19 ; investment ; n/a ; digital twin ; digital manufacturing ; multi-agent systems ; data architecture ; Logistics 4.0 ; digital transformation strategy ; urban planning and city operation ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas
    Language: English
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  • 8
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-11
    Description: In the current era of pervasive computing and the Internet of Things (IoT), where technology seamlessly integrates into our environment and everyday objects, Wireless Sensor Networks (WSNs) will play increasingly critical roles in several applications and use cases. WSNs find diverse applications in the real world, including monitoring pollution levels in the environment and soil moisture for agriculture, as well as monitoring healthcare patients, traffic, and more. However, the design, optimization, and deployment of such networks face several challenges, including robust architectural design for complex applications, efficient routing, security and privacy of computing and communication, delay minimization, fault tolerance, and maintaining the quality of service in real-time applications. This book presents cutting-edge research and innovative applications in WSNs in various areas such as key management and security, efficiency in routing, machine learning models for dynamic adaptation, and temperature sensing. It is a valuable resource for researchers, engineers, practitioners, and graduate and doctoral students.
    Keywords: machine learning ; iot ; sensors ; security ; energy consumption ; cryptography ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology
    Language: English
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  • 9
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-01
    Description: This book provides a comprehensive overview of oral health. It includes twenty-one chapters that address such topics as dental anatomy and morphology, smile design, oral health, prosthetics and implantology, orthodontics, dental materials, use of artificial intelligence in dentistry, and regenerative medicine.
    Keywords: dental implants ; oral health ; machine learning ; artificial intelligence ; diabetes ; deep learning ; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKE Dentistry
    Language: English
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The 3D analysis of human movement aims to objectively and quantitatively assess motor functions and alterations. It is a valuable method for sport scientists, coaches, and clinicians to evaluate sport performance, common movements, and alterations. The feasibility of 3D analysis is increasing because it can be adopted both in a laboratory setting or directly in the field, in static or dynamic conditions, and for physiological or pathological movements. This evaluation technique can be adopted for many people, including children, adolescents, adults, and older people, whether they are sedentary or athletes and whether they are healthy or motor-impaired people.
    Keywords: virtual reality ; augmented reality ; lifelogging ; mirror world ; health ; posture training ; feedback ; COVID-19 ; neck-shoulder-region ; shoulder protraction ; upper crossed syndrome ; posture weakness ; physical inactivity ; sedentary behavior ; soccer ; climbing ; exhaustion ; fatigue ; training ; machine learning ; sports ; gender ; data mining ; artificial intelligence ; posture ; reproducibility ; mobile app ; movement ; kinesiology ; sport performance ; inertial sensor ; inertial sensor device ; inertial measurement unit ; training load ; external load ; physical demand ; handstand ; postural control ; postural balance ; sEMG ; stabilometric assessment ; exercise ; Nordic walking ; walking ; 3D kinematics ; biomechanics ; gait analysis ; kyphosis ; spinal mouse ; photogrammetry ; postural evaluation ; bicycle ; cyclists ; saddle pressure ; perineal pressure ; urogenital system ; injury prevention ; cervical ROM ; elastic taping ; neck pain ; musculoskeletal health ; n/a ; bic Book Industry Communication::M Medicine
    Language: English
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