Search results for "oppiminen"

The development of interpersonal communication competence at work

2007

[Introduction] Many researchers emphasise the importance of interpersonal communication competence in learning, in working life, and in society in general (Daly, 1998; Morreale, Osborn and Pearson, 2000). Changes in the working life (e.g., globalisation, the development of information and communication technology, the increase in abstract, conceptual, and knowledge-intensive work, and the increase in collaborative interaction) have established new challenges to interpersonal communication competence and enhanced the essential role of communication and interaction at work (FinnSight 2015 foresight project, 2006; Huotari, Hurme and Valkonen, 2005; Kostiainen, 2003). Several studies have attem…

H&E Multi-Laboratory Staining Variance Exploration with Machine Learning

2022

In diagnostic histopathology, hematoxylin and eosin (H&E) staining is a critical process that highlights salient histological features. Staining results vary between laboratories regardless of the histopathological task, although the method does not change. This variance can impair the accuracy of algorithms and histopathologists’ time-to-insight. Investigating this variance can help calibrate stain normalization tasks to reverse this negative potential. With machine learning, this study evaluated the staining variance between different laboratories on three tissue types. We received H&E-stained slides from 66 different laboratories. Each slide contained kidney, skin, and colon tissue sampl…

Anomaly detection using one-class SVM with wavelet packet decomposition

2011

Anomaly detection has become a popular research topic in the field of machine learning. Support vector machine is one anomaly detection technique and it is coming one the most widely used. In this research, anomaly detection is applied to road condition monitoring, especially pothole detection, using accelerometer data. The proposed concept includes data preprocessing, feature extraction, feature selection and classification. Accelerometer data was first filtered and segmented, after which features were extracted with frequency- and time-domain functions, with genetic programming and with wavelet packet decomposition. A classification model was built using support vector machine and the cal…

Music adviser : emotion-driven music recommendation ecosystem

2017

In respect of the big amounts of music available in the web, people met the problem of choice. From another side, practically unlimited resources can bring us new opportunities in the music context. Efficient data management engines which are smart and self managed are in demand nowadays in the music industry to handle music sources amounts of which are coming towards to infinity continuously. This study demonstrates feasibility of the emotional based personalization of music recommendation system. There is still gap between human and artificial intelligence, robotics do not have intuition and emotions which represent critical point of recommendations. Taking into account significant influe…

Adult students in web-based thesis seminars : insights and challenges for supervision

2014

We examine the web-based thesis seminars in the context of academic adult education in our article which presents and reflects on the development of web-based teaching. Our reflection is based on our own web-based teaching experiences in the open university and in the class teachers' adult education programme aiming at the Master's degree, and in the feedback material that has been collected from the students. We first examine web-based seminars from the point of view of educational equality and accessible learning environments. Then we will analyse the requirement of scientificity of university context and the objectives related to the interaction and the adult educational solutions in web…

A learning organization : machine or human?

2001

Videowikis for improved problem-based collaborative learning: Engaging information systems science students

2013

The contemporary era of social media and web 2.0 has enabled a bottom-up on-line collaborative approach with easy content creation and subsequent knowledge sharing. The technically literate students of today and the changes in pedagogy towards a user-centred approach, where learners engage in the learning process by constructing new ideas and concepts based on their current or past knowledge facilitate the use of social media in learning environments. This paper describes the combination of a wiki and screen capture videos as a complementary addition to conventional lectures in an information management and information systems development course. The basis for our approach was collaborative…

Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era

2018

The unprecedented growth of wireless data traffic not only challenges the design and evolution of the wireless network architecture, but also brings about profound opportunities to drive and improve future networks. Meanwhile, the evolution of communications and computing technologies can make the network edge, such as BSs or UEs, become intelligent and rich in terms of computing and communications capabilities, which intuitively enables big data analytics at the network edge. In this article, we propose to explore big data analytics to advance edge caching capability, which is considered as a promising approach to improve network efficiency and alleviate the high demand for the radio resou…

Trajectory Design and Resource Allocation for Multi-UAV Networks : Deep Reinforcement Learning Approaches

2023

The future mobile communication system is expected to provide ubiquitous connectivity and unprecedented services over billions of devices. The unmanned aerial vehicle (UAV), which is prominent in its flexibility and low cost, emerges as a significant network entity to realize such ambitious targets. In this work, novel machine learning-based trajectory design and resource allocation schemes are presented for a multi-UAV communications system. In the considered system, the UAVs act as aerial Base Stations (BSs) and provide ubiquitous coverage. In particular, with the objective to maximize the system utility over all served users, a joint user association, power allocation and trajectory desi…

Finnish Police Supervisors’ Conceptions of Workplace Learning and Its Sustainability

2023

Workplace learning (WPL) is a complex phenomenon involving the intertwined processes of working and learning. Recent studies have shown the importance of sustainable perspectives in WPL situations. In the literature, sustainable development is still predominantly referred to environmental, economic and social sustainability. In this study, sustainable perspectives denote the widespread use of previous knowledge, the rapid application of new knowledge and the effects of this knowledge on well-being, thus leaning on human sustainability. The purpose of this study is to examine conceptions of WPL among Finnish police supervisors and to reveal whether sustainable learning perspectives manifest.…