Selaus tekijän mukaan kokoelmassa Tieteelliset julkaisutSchool of Engineering Science
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3D Hand Movement Measurement Framework for Studying Human-Computer Interaction
Kuronen, Toni; Eerola, Tuomas; Lensu, Lasse; Kälviäinen, Heikki; Häkkinen, Jukka (Springer, Cham, 30.12.2019)In order to develop better touch and gesture user interfaces, it is important to be able to measure how humans move their hands while interacting with technical devices. The recent advances in high-speed imaging technology ... -
A comparison of photolytic, photochemical and photocatalytic processes for disinfection of recirculation aquaculture systems (RAS) streams
Moreno-Andrés, Javier; Rueda-Márquez, Juan José; Homola, Tomáš; Vielma, Jouni; Moríñigo, Miguel Ángel; Mikola, Anna; Sillanpää, Mika; Acevedo-Merino, Asunción; Nebot, Enrique; Levchuk, Irina (Elsevier, 14.05.2020)The development of technologically advanced recirculation aquaculture systems (RAS) implies the reuse of water in a high recirculation rate (>90%). One of the most important phases for water management in RAS involves water ... -
A Comprehensive Framework of Usability Issues Related to the Wearable Devices
Khakurel, Jayden; Porras, Jari; Melkas, Helinä; Fu, Bo
EAI/Springer Innovations in Communication and Computing book series (EAISICC) (Springer, Cham, 20.05.2020)Wearable devices have the potential to be used for monitoring, augmenting, assisting, delivering content, and tracking in both individual and organizational contexts. Despite this potential, previous studies indicate that ... -
A Comprehensive Review on Demulsification Using Functionalized Magnetic Nanoparticles
Hamedi, Hamideh; Rezaei, Nima; Zendehboudi, Sohrab (Elsevier, 27.10.2022)Conventional oil-water separation techniques have limited effectiveness in separating emulsified oil contaminations in wastewater in the forms of oil-in-water (o/w) or water-in-oil (w/o) emulsions. Researchers have used ... -
A conceptual framework for the measurement of innovation capability and its effects
Saunila, Minna; Ukko, Juhani (Emerald Group Publishing, 19.10.2012)Purpose The purpose of this paper is to clarify the concept of innovation capability and to show how the linkage between innovation capability and performance measurement can be formed. Design/methodology/approach The ... -
A Deep Learning Integrated Blockchain Framework for Securing Industrial IoT
Aljuhani, Ahamed; Kumar, Prabhat; Alanazi, Rehab; Albalawi, Turki; Taouali, Okba; Islam, A. K. M. Najmul; Kumar, Neeraj; Alazab, Mamoun (IEEE, 18.09.2023)The Industrial Internet of Things (IIoT) is a collection of interconnected smart sensors and actuators with industrial software tools and applications. IIoT aims to enhance manufacturing and industrial processes by capturing ... -
A Dynamic Learning Perspective on Innovation Control: Balancing Freedom and Constraint
Saunila, Minna; Mäkimattila, Martti
Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business book series (PSCDBRAEAB) (Palgrave Macmillan, Cham, 04.09.2018)Recent research has highlighted innovation as a dynamic, cyclical and continuous process tied to multiple levels within organisations. This chapter approaches the control of innovation from a dialectic perspective by ... -
A Hybrid Deep Learning Approach for Epileptic Seizure Detection in EEG signals
Ahmad, Ijaz; Wang, Xin; Javeed, Danish; Kumar, Prabhat; Samuel, Oluwarotimi Williams; Chen, Shixiong (IEEE, 10.04.2023)Early detection and proper treatment of epilepsy is essential and meaningful to those who suffer from this disease. The adoption of deep learning (DL) techniques for automated epileptic seizure detection using electroenc ... -
A Literature Analysis of Definitions for a Circular Economy
Awan, Usama; Kanwal, Narmeen; Bhutta, Mohammed Khurrum S. (Springer, 13.12.2020)This chapter aims to identify and analyze the published definitions of circular economy (CE). Twenty-eight definitions were gathered through intensive critical literature review, using both Scopus and Web of Science. The ... -
A mixed methods probe into the direct disclosure of software vulnerabilities
Ruohonen, Jukka; Hyrynsalmi, Sami; Leppänen, Ville (Elsevier, 28.09.2019)Software vulnerabilities are security-related software bugs. Direct disclosure refers to a practice that is widely used for communicating the confidential information about vulnerabilities between two parties, vulnerability ... -
A new method for extraction of methanol-soluble brown carbon: Implications for investigation of its light absorption ability
Yan, Fangping; Kang, Shichang; Sillanpää, Mika; Hu, Zhaofu; Gao, Shaopeng; Chen, Pengfei; Gautam, Sangita; Reinikainen, Satu-Pia; Li, Chaoliu (Elsevier, 02.03.2020)As an important component of organic carbon (OC), brown carbon (BrC) plays a significant role in radiative forcing in the atmosphere. Water-insoluble OC (WIOC) generally has higher light absorption ability than water-soluble ... -
A novel similarity classifier with multiple ideal vectors based on k-means clustering
Lohrmann, Christoph; Luukka, Pasi (Elsevier, 24.04.2018)In the literature, researchers and practitioners can find a manifold of algorithms to perform a classification task. The similarity classifier is one of the more recently suggested classification algorithms. In this paper, ... -
A novel Sm doped Cr2O3 sesquioxide-decorated MWCNTs heterostructured Fenton-like with sonophotocatalytic activities under visible light irradiation
Eshaq, Ghada; Amer, Mohamed; Ali Khan, Moonis; Alothman, Zeid A.; Sillanpää, Mika (Elsevier, 21.11.2021)Novel Sm doped Cr2O3 decorated MWCNTs nanocomposite photocatalyst was successfully prepared by a facile hydrothermal method for metoprolol (MET) degradation. A heterogeneous photo -Fenton like system was formed with the ... -
A Practical Hybrid Active Learning Approach for Human Pose Estimation
Kaplan, Sinan; Juvonen, Joni; Lensu, Lasse (Springer, Cham, 10.04.2021)Active learning (AL) has not received much attention in deep learning (DL) for human pose estimation. In this paper, a practical hybrid active learning strategy is proposed for training a human pose estimation model, and ... -
A practical hybrid machine learning method for predicting the flash point of complex ternary alcohol-based mixtures
Jalaei Salmani, Hossein; Kalani, Hadi; Moradi Mohammad, Reza; Mansouri, Elahe; Liaw, Horng-Jang; Karkhanechi, Hamed (Taylor & Francis, 18.08.2023)The flash point (FP) modeling of ternary mixtures containing partially miscible regions, even by known models, is still challenging. This work proposes a practical and easy-to-use hybrid machine learning method, which ... -
A practical method to measure sustainability performance of supply chains with incomplete information
Qorri, Ardian; Gashi, Saranda; Kraslawski, Andrzej (Elsevier, 10.02.2022)Measuring and managing supply chain sustainability is essential for achieving sustainable development goals. Existing methods fail to assess all three sustainability aspects across supply chain partners when measuring ... -
A pricing model for Internet of Things-based fleet services to support equipment sales
Marttonen-Arola, Salla; Kärri, Timo; Sinkkonen, Tiina; Pirttilä, Miia (Taylor & Francis, 15.01.2019)Servitisation and rapid technological development have made data-based services a feasible way for many manufacturing companies to increase their cash flow and support their core products. In this article, an analytical ... -
A Process Model of Product Strategy Development: A Case of a B2B SaaS Product
Moroz, Bogdan; Saltan, Andrey; Hyrynsalmi, Sami (Springer, Cham, 14.11.2022)A growing number of software companies nowadays offer their solutions using the SaaS model. The model promises multiple business-related benefits for these companies; however, existing software companies are forced to ... -
A review of in situ real-time monitoring techniques for membrane fouling in the biotechnology, biorefinery and food sectors
Virtanen, Tiina; Kallioinen, Mari; Rudolph, Gregor; Ferrando, Montserrat; Güell, Carmen; Lipnizki, Frank (Elsevier, 02.07.2019)Pressure-driven membrane processes are often used for the separation and purification of organic compounds originating from biomass. However, membrane fouling remains a challenge as these bio-based streams have a very ... -
A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications
Usmani, Usman Ahmad; Happonen, Ari; Watada, Junzo
Lecture Notes in Networks and Systems (Springer, Cham, 07.07.2022)Unsupervised learning, also known as unsupervised machine learning, analyzes and clusters unlabeled data utilizing machine learning techniques. Without human input, these algorithms discover patterns or groupings in the ...