Results 31 to 40 of about 3,879,375 (275)
Reshaping the energy landscape of Crete through renewable energy valleys
Scientific ReportsRenewable energy valleys (REVs) represent a transformative concept poised to reshape global energy landscapes. These comprehensive ecosystems transition regions from conventional energy sources to sustainable, self-reliant hubs for renewable energy ...
Panagiotis Skaloumpakas +3 more
doaj +1 more source
Development of a stress-free algorithm for controlling active running platforms [PDF]
ITM Web of ConferencesThe problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem +4 more
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Decision support systems [PDF]
, 2014 Метою навчальної дисципліни: вивчення студентами математичних моделей систем підтримки прийняття рішень та алгоритмів побудови різних систем підтримки прийняття рішень.Целью учебной дисциплины: изучение студентами математических моделей систем поддержки ...
Василевич, Леонід Федорович
core
Pediatric Blood &Cancer, EarlyView.Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source
AI4EF: Artificial Intelligence for Energy Efficiency in the building sector
SoftwareXAI4EF (Artificial Intelligence for Energy Efficiency) is an advanced, user-centric tool designed to support decision-making in building energy retrofitting and efficiency optimization.
Alexandros Menelaos Tzortzis +6 more
doaj +1 more source
Web-Based Decision Support Systems Application of Stock Recommendation Using Bayesian Methods [PDF]
, 2014 We propose an application that can support traders by providing recommendation about the right stock transaction. The expected impact from this application is to reduce the risk of loss, even achieve the maximum profit for traders who use this ...
Ariesta, M. (Maria), Sevani, N. (Nina)
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Neural sentence embedding models for semantic similarity estimation in the biomedical domain
BMC Bioinformatics, 2019 Background Neural network based embedding models are receiving significant attention in the field of natural language processing due to their capability to effectively capture semantic information representing words, sentences or even larger text ...
Kathrin Blagec +3 more
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Brainstorming Will Never Be the Same Again—A Human Group Supported by Artificial Intelligence
Machine Learning and Knowledge Extraction, 2023 A modification of the brainstorming process by the application of artificial intelligence (AI) was proposed. Here, we describe the design of the software system “kresilnik”, which enables hybrid work between a human group and AI.
Franc Lavrič, Andrej Škraba
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Chemotherapy‐induced peripheral neuropathy remains a major complication in pediatric cancer, with disrupted somatosensory and nociceptive processing being a key aspect. This review synthesizes empirical studies on alterations in somatosensory and nociceptive processing in children and adolescents with cancer.
Julia Schweiger +4 more
wiley +1 more source