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Maantieteen päivillä tarkasteltiin paikan voimaa
(Suomen maantieteellinen seura, 12.12.2019)
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Maapallon ulkopuolisen asuttamisen maantiedettä yläkoululaisten ja aikuisten kuvittelemana
(Alue- ja ympäristötutkimuksen seura ry., 14.06.2023)
articleTässä artikkelissa tutkitaan, millaiseksi aikuiset ja yläkoululaiset kuvittelevat asumisen Maan ulkopuolella, millaiset ihmismaantieteen keskeiset teemat nousevat tällöin esille ja miten tätä tietoa voidaan hyödyntää ... -
Maaseutu yritysimagossa : visuaalisuudesta uutta potkua maaseudulle
(Maaseudun uusi aika ry., 03.05.2019)
articleArtikkelin tavoite on tuottaa uusia näkemyksiä maaseudun imagokeskusteluun ja avata uusia mahdollisuuksia maaseutumaisten kuntien, yhdistysten ja maaseudun yritysten imagotyölle. Artikkelissa analysoidaan Kyrö Distilleryn ... -
Maaseutuhallinnon arjen todellisuus : puhetta byrokraattisuudesta
(Hallinnon tutkimuksen seura, 22.08.2019)
articleThe article analyses bureaucratic discourse in everyday rural administration, utilising Max Weber’s bureaucratic theory and the notions of dysfunctional bureaucracy by Robert K. Merton. The word bureaucracy has a negative ... -
Maaseutuja kaupungissa : Paikkaseksikkyys-ilmiön relationaalinen tulkinta. Lectio praecursoria Vaasan yliopistossa 2.6.2023
(Maaseudun uusi aika ry, 05.12.2023)
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Machine learning and wearable devices for Phonocardiogram-based diagnosis
(AIRCC, 2019)
articleThe heart sound signal, Phonocardiogram (PCG) is difficult to interpret even for experienced cardiologists. Interpretation are very subjective depending on the hearing ability of the physician. mHealth has been the adopted ... -
Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a web-based prognostic tool
(Springer, 17.08.2019)
articleEstimation of risk of recurrence in early-stage oral tongue squamous cell carcinoma (OTSCC) remains a challenge in the field of head and neck oncology. We examined the use of artificial neural networks (ANNs) to predict ... -
Machine learning autoencoder-based parameters prediction for solar power generation systems in smart grid
(The Institution of Engineering and TechnologyJohn Wiley & Sons, 03.01.2024)
articleDuring the fourth energy revolution, artificial intelligence implementation is necessary in all fields of technology to meet the increasing energy demands and address the diminishing fossil fuel reserves, necessitating the ... -
Machine learning explainability for survival outcome in head and neck squamous cell carcinoma
(Elsevier, 22.03.2025)
articleBackground. Diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC) induces psychological variables and treatment-related toxicity in patients. The evaluation of outcomes is warranted for effective treatment ... -
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP
(Springer Nature, 02.06.2023)
articleNasopharyngeal cancer (NPC) has a unique histopathology compared with other head and neck cancers. Individual NPC patients may attain different outcomes. This study aims to build a prognostic system by combining a highly ... -
Machine Learning for LEO and MEO Satellite Orbit Prediction
(Institute of Navigation, 10.10.2024)
articleAccurate orbit prediction plays a significant role in many space geodesy applications, including space situational awareness, orbital maneuvers, and satellite navigation in real-time scenarios. The traditional orbit ... -
Machine learning for prognosis of oral cancer : What are the ethical challenges?
(CEUR Workshop Proceedings, 13.01.2020)
articleBackground: Machine learning models have shown high performance, particularly in the diagnosis and prognosis of oral cancer. However, in actual everyday clinical practice, the diagnosis and prognosis using these models ... -
Machine Learning in Management Accounting Research : Literature Review and Pathways for the Future
(Taylor & Francis, 04.11.2022)
articleThis paper explores the possibilities of employing machine learning (ML) methods and new data sources in management accounting (MA) research. A review of current accounting and related research reveals that ML methods in ... -
Machine learning in oral squamous cell carcinoma : current status, clinical concerns and prospects for future - A systematic review
(Elsevier, 01.05.2021)
articleBackground Oral cancer can show heterogenous patterns of behavior. For proper and effective management of oral cancer, early diagnosis and accurate prediction of prognosis are important. To achieve this, artificial ... -
Machine Learning Methods for Emissions Prediction in Combustion Engines with Multiple Cylinders
(Elsevier, 2023)
articleThe increasing demand of lowering the emissions of the combustion engines has led to the development of more complex engine systems. This paper presents artificial neural network (ANN) based models for estimating nitrogen ... -
Machine Learning Utilization in GNSS : Use Cases, Challenges and Future Applications
(IEEE, 15.06.2021)
articleThe algorithms and models of traditional global navigation satellite systems (GNSSs) perform very well in terms of the availability and accuracy of positioning, navigation and timing (PNT) under good signal conditions. ... -
Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features : A quantitative clinical study
(John Wiley & Sons, 25.10.2023)
articleOsteoporosis is a skeletal disease that is commonly seen in older people but often neglected due to its silent nature. To overcome the issue of osteoporosis in men and women, we proposed an advanced prediction model with ... -
Machine-Learning-Based Home Energy Management Framework via Residents' Feedback
(IEEE, 04.10.2024)
articleThis study introduces a smart home energy management (SHEM) framework using an artificial neural network (ANN) approach that incorporates user feedback to gauge preferences regarding cost and comfort. The SHEM framework ... -
Macro talent management in Finland : contributing to a rapidly evolving knowledge economy
(Routledge, 17.07.2018)
articleThis chapter analyzes Finland’s rapid transition to a knowledge economy and the challenges that the country is facing today from a macro talent management (TM) perspective. The Global Talent Competitiveness Index (Lanvin ... -
Magic formula vs. traditional value investment strategies in the Finnish stock market
(Association of Business Schools Finland, 02.12.2016)
articleFor the first time in a smaller market setting, we compare the performance of the magic formula pro-posed by Greenblatt (2006) against the most commonly used value investment strategies. We also test whether the cash ...
