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  • machine learning  (232)
  • COVID-19  (170)
  • MDPI - Multidisciplinary Digital Publishing Institute  (375)
  • 2020-2024  (375)
  • 2020-2023
  • 2022  (375)
  • 2022  (375)
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  • 2020-2024  (375)
  • 2020-2023
Year
  • 1
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    Women's Mental Health (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-06-21
    Description: Clinical psychology based on gender medicine is a core topic of this Special Issue. In general, consideration of women’s mental health is limited; however, it is important to consider subjective wellbeing factors connected with cultural, environmental, epigenetic and personality aspects. Many factors, such as the roles assigned to women nowadays in social and work contexts, can act as predisposing conditions in the etiology of the psychopathological frame, particularly affective disorders. Furthermore, in the developmental life of a woman, important risk factors can be highlighted, such as the vulnerability to psychological distress in women and couples. In particular, the topic addresses the individual maternal requirements for successful transition to healthy motherhood and innovative programs based on gender medicine in the life cycle considering student and elderly experiences. The connection of psychological vulnerability to the environment and repercussions for relationships have been studied in connection with the COVID-19 lockdown, induced changes in women’s psychological distress and research regarding sexual arousal, self-image and mental wellbeing. Psychological and emotional forms of violence in couples, such as IPV, is another point highlighting new trend of assessments (i.e., Intimate Partner Violence EAPA-P) and ad hoc treatment in emotional regulation and resilience. Psychological support for women is central to the prevention of psychopathology, especially in relation to subthreshold traits; finally, the topic offers an overview of ad hoc treatments in clinical contexts.
    Keywords: stress ; medical student ; temperament ; self-esteem ; optimism ; stress response ; gender differences ; social behavior ; attachment ; touch avoidance ; network analysis ; intimate partner violence ; psychological treatment ; randomized controlled trial ; posttraumatic stress ; effectiveness ; eating abnormal behavior ; pro-ana and pro-mia websites ; female adolescents ; distress ; self-efficacy ; maternal confidence ; maternal wellbeing ; post-partum ; fall ; women ; health-related quality of life ; South Korea ; COVID-19 ; principal component analysis ; emotion regulation ; social stability status ; intolerance of uncertainly ; Italian population ; psychological violence ; self-report ; violence against women ; gender-based violence ; domestic violence ; assessment ; mindfulness ; newborn ; mother-infant ; maternal behavior ; mother-infant interaction ; maternal parenting stress ; maternal support ; sexuality ; body image ; bic Book Industry Communication::J Society & social sciences::JM Psychology
    Language: English
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  • 2
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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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  • 3
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    Advances in Computational Intelligence Applications in the Mining Industry (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 4
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    Empowering Materials Processing and Performance from Data and AI (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-09
    Description: Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.
    Keywords: plasticity ; machine learning ; constitutive modeling ; manifold learning ; topological data analysis ; GENERIC ; soft living tissues ; hyperelasticity ; computational modeling ; data-driven mechanics ; TDA ; Code2Vect ; nonlinear regression ; effective properties ; microstructures ; model calibration ; sensitivity analysis ; elasto-visco-plasticity ; Gaussian process ; high-throughput experimentation ; additive manufacturing ; Ti–Mn alloys ; spherical indentation ; statistical analysis ; Gaussian process regression ; nanoporous metals ; open-pore foams ; FE-beam model ; data mining ; mechanical properties ; hardness ; principal component analysis ; structure–property relationship ; microcompression ; nanoindentation ; analytical model ; finite element model ; artificial neural networks ; model correction ; feature engineering ; physics based ; data driven ; laser shock peening ; residual stresses ; data-driven ; multiscale ; nonlinear ; stochastics ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: English
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  • 5
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    Fit-for-Purpose Land Administration Fit-for-Purpose Land Administration- Providing Secure Land Rights at Scale. Volume 1: Conceptual Innovations (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-27
    Description: This Special Issue provides an insight, collated from 26 articles, focusing on various aspects of the Fit-For-Purpose Land Administration (FFPLA) concept and its application. It presents some influential and innovative trends and recommendations for designing, implementing, maintaining and further developing Fit-For-Purpose solutions for providing secure land rights at scale. The first group of 14 articles is published in Volume One and discusses various conceptual innovations related to spatial, legal and institutional aspects and its wider applications within land use management. The second group of 12 articles is published in Volume Two and focuses on case studies from various countries throughout the world, providing evidence and lessons learned from the FFPLA implementation process.
    Keywords: complete cadastre ; legal element ; fixing boundary ; eligible landowner ; agreement ; boundary marker ; fit-for-purpose land administration (FFP LA) ; violent conflict ; United Nations ; extra-legal ; transitional justice ; peace building ; land governance ; power relations ; securing land rights ; land registration ; development impacts ; fit-for-purpose land administration ; land administration ; decentralization ; India ; fit-for-purpose ; institutions ; governance ; politics ; Amazon ; deforestation ; Fit-For-Purpose land administration ; participatory mapping ; indigenous land conflict ; Cumaribo ; Colombia ; community-based land adjudication ; components of adjudication ; land tenure ; land rights ; good practices ; updating land records ; systematic land registration ; unconventional approach ; case study ; Benin ; cadaster ; land administration domain model ; LADM ; cadastre ; FFPLA ; customary tenure ; land inventory ; land management ; mobile-based applications ; pro-poor ; land surveying ; tenure security ; land rights and tenure ; fit-for-purpose approach ; human rights ; design science research ; design thinking ; fit for purpose ; spatial data quality ; spatial data quality assurance ; maintenance ; update ; upgrade ; upkeep ; renewal ; data quality ; spatial framework ; STDM ; technology ; UAV ; feature extraction ; rapid urbanization ; climate change ; pandemic ; urban resilience ; spatial ; legal ; and institutional frameworks ; land tenure security ; pro-poor land recordation ; land governance reform ; cost effectiveness ; innovative technology ; case studies ; Uganda ; customary land tenure ; land recordation tools ; semantic technologies ; land information system ; fit-for-purpose land management ; aerial and street level imagery ; machine learning ; integrated land programs ; land policy ; pilot study ; informal settlements ; urban development ; Brazil ; community-based crowdsourcing ; SiGIT ; Ecuador ; land and resources rights ; public-private partnerships ; corporate social responsibility ; poverty reduction ; business driven solutions ; social enterprises ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 6
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    AI Applications to Power Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
    Keywords: self-healing grid ; machine-learning ; feature extraction ; event detection ; optimization techniques ; manta ray foraging optimization algorithm ; multi-objective function ; radial networks ; optimal power flow ; automatic P2P energy trading ; Markov decision process ; deep reinforcement learning ; deep Q-network ; long short-term delayed reward ; inter-area oscillations ; modal analysis ; reduced order modeling ; dynamic mode decomposition ; machine learning ; artificial neural networks ; steady-state security assessment ; situation awareness ; cellular computational networks ; load flow prediction ; contingency ; fuzzy system ; change detection ; data analytics ; data mining ; filtering ; optimization ; power quality ; signal processing ; total variation smoothing ; 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
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  • 7
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    Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
    Keywords: sensory ; physicochemical measurements ; artificial neural networks ; near infra-red spectroscopy ; wine quality ; machine learning modeling ; weather ; consumer acceptance prediction ; data fusion ; emotion recognition ; facial expression recognition ; galvanic skin response ; machine learning ; neural networks ; sensory analysis ; avocado ; cultivars ; preference mapping ; sensory evaluation ; sensory descriptive analysis ; consumer science ; unifloral honeys ; botanical origin ; physicochemical parameters ; classification ; natural language processing ; deep learning ; sensory science ; flavor lexicon ; long short-term memory ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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  • 8
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    Biomedical Sensing and Imaging (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-09
    Description: This book mainly deals with recent advances in biomedical sensing and imaging. More recently, wearable/smart biosensors and devices, which facilitate diagnostics in a non-clinical setting, have become a hot topic. Combined with machine learning and artificial intelligence, they could revolutionize the biomedical diagnostic field. The aim of this book is to provide a research forum in biomedical sensing and imaging and extend the scientific frontier of this very important and significant biomedical endeavor.
    Keywords: finite element method ; thin shell model ; β dispersion ; Maxwell–Wagner effect ; bio-impedance spectroscopy ; multisensory ; electromyography ; pattern recognition ; rehabilitation ; blood coagulation ; image sensing ; image classification ; electrical impedance tomography ; frequency difference ; time difference ; lung imaging ; electromagnetic detection and biosensors ; electromagnetic biological theory ; biomedical application ; frequency ; machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 9
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    Interdisciplinary Medicine (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
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    Publication Date: 2024-03-30
    Description: Dear Colleagues, The rapidly changing field of medicine and healthcare is increasingly adopting scientific and technological innovations, making interdisciplinary collaborations especially important. In this context, medical disciplines are becoming increasingly interlinked with other specialities and fields. A more interdisciplinary approach to the patient is needed, especially for complex patients with numerous comorbidities, most of whom are usually elderly and fragile. The greatest challenges to human health lie at the intersection of different medical fields. An interdisciplinary medical team is increasingly necessary with the rapid expansion of medical knowledge. Given the importance of interdisciplinarity in the field of medicine and research, the international journal Medicina-Lithuania has launched this Special Issue. The Special Issue has attracted the interest of different groups of researchers, and very interesting articles from different countries. Reviews or original articles dealing with interdisciplinary medical problems, as well as articles providing an up-to-date overview of the diagnostic protocols and treatments for patients with multiple comorbidities have been published. I thank all the authors for sharing their research and wish all readers a fruitful and stimulating read! Assoc. Prof. Dr. Camelia DIACONU Guest Editor
    Keywords: ectopic kidney ; locally advanced cervical cancer ; nephrectomy ; skin cancer ; squamous cell carcinoma ; basal cell carcinoma ; malignant melanoma ; surgery ; quality of life ; breast reconstruction ; timing ; mastectomy ; adjuvant therapy ; fertility preservation ; cryo-preservation ; vitrification ; breast cancer ; dietary attitude ; type 2 diabetes mellitus ; diabetes self-management ; empowerment approach ; dietary behavior ; early stage ; ovarian cancer ; para-aortic lymph node metastases ; synchronous malignancies ; cervical adenocarcinoma ; serous ovarian adenocarcinoma ; PSFT ; resection ; pulmonary adenocarcinoma ; Krukenberg tumors ; ureteral stenosis ; chronic kidney disease ; preeclampsia ; hypertension ; proteinuria ; type 2 diabetes ; hemoglobin A1c ; matrix metalloproteinases-2 and -9 ; anti-elastin antibodies ; anti-collagen IV antibodies ; diabetic retinopathy ; diabetic nephropathy ; macrovascular complications ; nephrotic syndrome ; thrombosis ; inherited risk factors ; mutation ; anticoagulation ; medical malpractice ; doctor–patient relationship ; communication ; complications ; diagnostic error ; preventive measures ; retrospective study ; children ; self-medication ; risks ; beliefs ; Mayer–Rokitansky–Küster–Hauser syndrome ; primary amenorrhea ; surgical management ; vaginal reconstruction ; plastic surgery ; oral graft versus host disease ; topical corticosteroids ; dexamethasone ; clobetasol ; budesonide ; tuberous sclerosis ; angiomyolipomatosis ; uretero-hydronephrosis ; angiofibromas ; VCAM-1 ; E-selectin ; psoriasis ; methotrexate ; adalimumab ; colosalpingeal fistula ; enterotubal fistula ; diverticular fistulation ; diagnosis ; hysteroscopy management ; pregnancy-associated breast cancer ; Romania ; primary ; pleural ; hydatidosis ; Albendazole ; echinoccocus ; caudal duplication syndrome ; colorectal duplication ; genitourinary duplication ; congenital malformation ; pediatric surgery ; SARS-CoV-2 ; COVID-19 ; SIADH ; dyselectrolytemia ; hyponatremia ; Silesian Voivodeship ; gold hour ; cardiovascular diseases ; Medical Emergency Team ; acute cholecystitis ; laparoscopic cholecystectomy ; elderly ; safety ; young lung cancer ; depression ; anxiety ; multiple correspondence analysis ; k-means clustering ; n/a
    Language: English
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  • 10
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    Rheumatic Diseases: Pathophysiology, Targeted Therapy, Focus on Vascular and Pulmonary Manifestations (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: This e-book summarises the latest advances in the rheumatic diseases with a focus on the recent efforts of vascular and pulmonary manifestations and anticipate the new and future directions of these research topic. Rheumatic diseases represent a heterogeneous group of severe autoimmune disorders. The present Special Issue aims to provide an overview of the complexity of vascular and pulmonary manifestations of rheumatologic diseases and helps in knowledge to manage them. The eleven published articles here collected underline the complexity of rheumatic diseases and the difficult to treated them. The manuscripts provide an overview of the pathophysiology and current treatment regimes of these disorders, highlighting tools which assist with diagnosis, risk stratification and therapy. Finally, we underline the importance of a multidisciplinary team working using the skills of clinicians, radiologists, and pathologists.
    Keywords: systemic sclerosis ; scleroderma ; interstitial lung disease ; pulmonary function tests ; high-resolution computed tomography ; rheumatic ; pulmonary arterial hypertension ; targeted therapy ; systemic lupus erythematosus ; airway disease ; shrinking lung syndrome ; diffuse alveolar hemorrhage ; pleurisy ; infection ; cardiopulmonary exercise testing ; osteopontin ; connective tissue diseases ; pulmonary involvement ; microvascular involvement ; nailfold capillaroscopy ; rheumatoid arthritis ; interstitial lung diseases ; CX3CL1/fractalkine ; CX3CR1 ; M1 macrophage ; M2 macrophage ; SKG mice ; heart failure ; 3D-echocardiography ; ventricular function ; outcome ; ventricular-arterial coupling ; antifibrotic agents ; COVID-19 ; IPF ; progressive fibrosing ILD ; UIP ; pharmacological interactions ; fibromyalgia ; gastrointestinal symptoms ; probiotic ; VSL#3® ; efficacy ; tolerability ; polymyalgia rheumatica ; vagus nerve stimulation ; inflammatory response ; PMR ; t-vns ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
    Language: English
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