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  • Books  (8)
  • machine learning  (8)
  • Chemistry
  • ddc:330
  • MDPI - Multidisciplinary Digital Publishing Institute  (8)
  • English  (8)
  • 2020-2024  (8)
  • 2024  (8)
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  • Books  (8)
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Keywords
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  • MDPI - Multidisciplinary Digital Publishing Institute  (8)
  • IntechOpen  (10)
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  • English  (8)
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  • 2020-2024  (8)
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  • 1
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    Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 2
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    Biomedical Sensors for Functional Mapping: Techniques, Methods, Experimental and Medical Applications (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 3
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    Industry 4.0 – The Global Industrial Revolution: Achievements, Obstacles and Research Needs for the Digital Transformation of Industry (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
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  • 4
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    3D Analysis of Human Movement, Sport, and Health Promotion (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 5
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    Advances in Knee Surgery (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-01-08
    Description: In the orthopedic surgical field, knee surgeries, including articular cartilage repair procedures, meniscus surgery, ligament reconstruction surgery, osteotomy surgery, and partial/total knee arthroplasty surgery, have made great advances over the last few decades. This Special Issue highlights and focuses on the surgical concepts and techniques, decision-making processes, perioperative management protocols, and clinical outcomes of the recent various advanced knee surgery procedures.
    Keywords: high tibial osteotomy ; TomoFix ; plate position ; anatomical conformity ; dual-energy CT ; Hounsfield unit ; bone mineral density ; volumetric phantomless BMD ; opportunistic CT ; orthopedic surgeon ; planning ; survey ; total knee arthroplasty ; unicompartmental knee arthroplasty ; anterior cruciate ligament ; reconstruction ; bone tunnel widening ; adjustable-loop device ; interference screw ; hamstring tendon ; autograft ; tibial component alignment ; radiographic references ; extramedullary system ; tranexamic acid ; clamping time ; transfusion ; estimated blood loss ; continuous cold flow therapy ; cryotherapy ; pain ; opioids consumption ; patient satisfaction ; bone marrow lesion ; knee ; meniscus ; root tear ; root repair ; femorotibial joint ; chondromalacia ; aging ; body mass index ; magnetic resonance imaging ; automated detection ; detection algorithm ; deep learning ; venous thromboembolism ; medial collateral ligament ; strain ; video extensometer ; medial opening-wedge high tibial osteotomy ; central sensitization ; patient-reported outcomes ; osteotomy site pain ; minimal clinically important difference ; human umbilical cord blood derived mesenchymal stem cells ; cartilage regeneration ; cartilage repair ; osteoarthritis treatment ; stem cell therapy ; Outerbridge ; degeneration ; spacer block ; intramedullary rod ; femorotibial congruence ; unicompartmental arthroplasty ; osteoarthritis ; cartilage ; stem cells ; umbilical cord blood ; femur fracture ; polyethylene insert ; osteoporosis ; multivariate logistic analysis ; atelocollagen ; microfracture ; ACIC ; bone marrow aspirate concentrate ; human umbilical cord blood-derived mesenchymal stem cells ; knee osteoarthritis ; loosening ; arthroplasty ; machine learning ; transfer learning ; review ; prosthesis ; meniscus root ; medial meniscus posterior root ; medial meniscus posterior root tear ; meniscus root repair ; transtibial pull-out repair ; bone tunnel enlargement ; anterior cruciate ligament reconstruction ; landmark ; lateral tibial spine ; anatomy ; bic Book Industry Communication::M Medicine
    Language: English
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  • 6
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    Water Quality Modelling, Monitoring and Mitigation (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-01-08
    Description: This reprint aims to identify critical areas of water quality assessment, modeling, and mitigation in freshwater bodies, wastewater treatment, and groundwater aquifers, which require special attention. This links the volume to multiple regulatory options, including policy and governance measures, alternative ecosystem service dependence options (i.e., nature-based solutions), or mechanisms that link regions to international processes, like measures proposed under the Environmental Protection guidelines. The reprint will pay special attention to water quality assessment, modeling, and mitigation.
    Keywords: pumping station pipeline ; chaotic characteristic ; IVMD ; vibration response ; correlation dimension ; Lyapunov exponent ; monitoring ; mitigations ; spatial and temporal variabilities ; principal component analysis ; cluster analysis ; discriminant analysis ; water quality ; pollution ; correlation ; settlement ; damage evolution ; seepage/stress-damage method ; data monitoring ; groundwater ; heavy metals ; physicochemical parameters ; in-situ ; machine learning ; geostatistical analysis ; nanofiltration ; electrocoagulation ; nickel ; zinc ; copper ; water pollution ; adsorption ; copper ions ; adsorption mechanism ; adsorption kinetics ; thermodynamics ; expanded S-curve model ; domestic water usage ; economic development ; mathematical model ; Sentinel-2 ; chlorophyll ; turbidity ; lake ; concentration modeling of contaminants ; Cuernavaca aquifer ; hydrochemistry ; water quality index ; time series analysis ; spatial analysis ; water intensity ; LMDI model ; Tapio model ; technical effect ; industrial structure effect ; regional scale effect ; tannery effluent ; ozonation ; optimization ; turbidity removal ; Taguchi ; ecosystem services ; provisioning ecosystem services ; regulating ecosystem services ; cultural ecosystem services ; supporting ecosystem services ; modeling ; water quality indexing ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
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  • 7
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    Managing Cybersecurity Threats and Increasing Organizational Resilience (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-01-08
    Description: Cybersecurity attacks are increasing in sophistication and intensity and are known to have a disruptive effect on organizations and society. This reprint contains a range of papers that address various issues relating to the problem, and insights are provided into how cybersecurity awareness can be increased and how organizations can be made less vulnerable to attacks. The solutions put forward will help staff to utilize technology better and devise methodological approaches that when operationalized, help defend the organization’s networks and computer systems from cyber-attacks.
    Keywords: Cybersecurity ; machine learning ; networks ; threat detection ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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  • 8
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    Data Analysis and Mining (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-01-08
    Description: The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data mining algorithms and techniques, as well as applications of data analysis and mining in real-world domains.
    Keywords: chi-square test ; constrained likelihood ratio test ; Fisher test ; gamma distribution ; uniformly most powerful test ; key interested frame ; commodity video ; clustering ; deep neural network ; frequent subtree ; parallel algorithms ; data partitioning ; load balancing ; trust inference ; trust propagation ; online social network ; social network analysis ; probabilistic graphical model ; message passing ; belief propagation ; model interpretability ; sequential rule mining ; non redundant sequential rules ; TRuleGrowth ; top-k non redundant rules ; closed sequential patterns ; multivariate time series ; deep spatiotemporal information ; down-sampling convolution ; attention ; graph neural network ; mobility patterns ; social media data ; artificial intelligence ; tourist clusters ; tourist flows ; forecasting ; univariate ; time series ; Python ; PSF ; spam detection ; deep learning ; semantic similarity ; social network security ; web analytics ; web log mining ; clickstream analysis ; sequence mining ; sequitur ; graph techniques ; feature subset selection ; data mining ; educational data mining ; machine learning ; metaheuristics ; artificial neural networks ; random decision forests ; posttraumatic stress disorder ; DSM-V ; emergency cesarean section ; elective cesarean section ; postpartum period ; text similarity calculation ; passage-level event connection graph ; vector tuning ; graph embedding ; meteorological data mining and machine learning ; class imbalance ; classification ; randomized undersampling ; SMOTE oversampling ; undersampling using temporal distances ; recommender systems ; session-based recommendations ; e-commerce ; data and web mining ; item co-occurrence ; graph data model ; next-item and next-basket recommendations ; graph-based recommendations ; purchase intent ; LSTM-RNN ; signal processing ; smart device ; electromagnetic field ; non-ionizing radiation protection ; SAR ; ANOVA ; data science ; selection ; constraint satisfaction ; preprocessing ; mobile technology ; statistics ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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