OSUVA - Selaus tekijän "Digital Economy" mukaan
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A Comparison of Motivational Patterns in Sustainable Food Consumption between Pakistan and Finland : Duties or Self-Reliance?
Rahman, Saleem ur; Luomala, Harri (Routledge, 08.09.2020)
articleThis research explores organic food consumption motivations in Pakistan and Finland. It links the findings to life goals typifying vertically collectivistic and horizontally individualistic cultures in order to produce a ... -
A Comprehensive Survey on the Cooperation of Fog Computing Paradigm-Based IoT Applications: Layered Architecture, Real-Time Security Issues, and Solutions
Burhan, Muhammad; Alam, Hina; Arsalan, Ahmad; Rehman, Rana Asif; Anwar, Muhammad; Faheem, Muhammad; Ashraf, Muhammad Waqar (IEEE, 12.07.2023)
articleThe Internet of Things (IoT) can enable seamless communication between millions of billions of objects. As IoT applications continue to grow, they face several challenges, including high latency, limited processing and ... -
A conditioned reflex action embedded associative context learning-based energy efficient paradigm in smart city milieu
Hussain, Majid; Bilal, Ahmad; Faheem, Muhammad; Anwar, Muhammad; Zia, Muhammad Sultan (The Institution of Engineering and Technology, 11.07.2023)
articleAn intelligent video surveillance system is crucial to enhance public safety, crime prevention, traffic, and crowd management in a smart city milieu. Situational awareness is an essential aspect of these surveillance systems ... -
A finite-time singularity in the dynamics of the US equity market: Will the US equity market eventually collapse?
Grobys, Klaus (Elsevier, 12.07.2023)
articleFitting Dow Jones 30 index data for the 1790–1999 period into a log-periodic power-law singularity (LPPLS) model, the seminal paper by Johansen and Sornette (2001) was the first to show that the US equity growth rate is ... -
A framework to test interval arithmetic libraries and their IEEE 1788-2015 compliance
Benet, Luis; Ferranti, Luca; Revol, Nathalie (John Wiley & Sons, 31.08.2023)
articleAs developers of libraries implementing interval arithmetic, we faced the same difficulties when it comes to testing our libraries. What must be tested? How can we devise relevant test cases for unit testing? How can we ... -
A Hybrid Convolutional Neural Network Model for Automatic Diabetic Retinopathy Classification From Fundus Images
Ali, Ghulam; Dastgir, Aqsa; Iqbal, Muhammad Waseem; Anwar, Muhammad; Faheem, Muhammad (IEEE, 01.06.2023)
articleObjective: Diabetic Retinopathy (DR) is a retinal disease that can cause damage to blood vessels in the eye, that is the major cause of impaired vision or blindness, if not treated early. Manual detection of diabetic ... -
A lightweight smart contracts framework for blockchain-based secure communication in smart grid applications
Faheem, Muhammad; Kuusniemi, Heidi; Eltahawy, Bahaa; Bhutta, Muhammad Shoaib; Raza, Basit (John Wiley & SonsThe Institution of Engineering and Technology, 13.01.2024)
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A MapReduce Based Approach for Secure Batch Satellite Image Encryption
Al-Khasawneh, Mahmoud Ahmad S.; Faheem, Muhammad; Aldhahri, Eman A.; Alzahrani, Abdulrahman; Alarood, Ala Abdulsalam (IEEE, 24.05.2023)
articleThe overarching goal of this research was to examine the state of satellite imagery security in relation to its deteriorating form due to rising demand. The most common approaches to safeguarding satellite images during ... -
A Multi-GNSS Software Receiver
Söderholm, Stefan; Bhuiyan, M. Zahidul H.; Ferrara, Giorgia; Thombre, Sarang; Kuusniemi, Heidi; Borre, Kai; Fernández-Hernández, Ignacio; Lopez-Salcedo, José A.; Bhuiyan, M. Zahidul H. (Cambridge University Press, 28.10.2022)
bookPartBuild and operate multi-GNSS and multi-frequency receivers with state-of-the-art techniques using this up-to-date, thorough and easy-to-follow text. Covering both theory and practice and complemented by MATLAB© code and ... -
A Novel Deep Belief Network Architecture with Interval Type-2 Fuzzy Set Based Uncertain Parameters Towards Enhanced Learning
Shukla, Amit K.; Muhuri, Pranab K. (Elsevier, 10.10.2023)
articleThis paper proposes a novel Deep Belief Network (DBN) architecture, the ‘Interval Type-2 Fuzzy DBN (IT2FDBN)’, which models the weights and biases with IT2 FSs. Thus, it introduces a novel algorithm for augmented deep ... -
A quick review of ethics, design thinking, gender, and AI development
Kronqvist, Aila; Rousi, Rebekah Ann (Taylor & Francis, 02.11.2022)
articleEthics, artificial intelligence (AI), and design thinking are current buzz words. The threat of bias-riddled machine learning algorithms is represented media-wide. Research and development initiatives are endeavoring to ... -
A Review on Precise Orbit Determination of Various LEO Satellites
Selvan, Kannan; Siemuri, Akpo; Kuusniemi, Heidi; Välisuo, Petri; Ometov, Aleksandr; Nurmi, Jari; Lohan, Elena Simona; Torres-Sospedra, Joaquín; Kuusniemi, Heidi (CEUR, 11.06.2021)
articleThe need for precise orbit determination (POD) has grown significantly due to the increased amount of space-based activities appearing at an accelerating pace. POD has a positive contribution in achieving the requirements ... -
A Systematic Review of Machine Learning Techniques for GNSS Use Cases
Siemuri, Akpojoto; Selvan, Kannan; Kuusniemi, Heidi; Välisuo, Petri; Elmusrati, Mohammed S. (IEEE, 03.11.2022)
articleIn terms of the availability and accuracy of positioning, navigation, and timing (PNT), the traditional Global Navigation Satellite System (GNSS) algorithms and models perform well under good signal conditions. In order ... -
Achievable rate approximation for massive MIMO with limited number of interfering clients
Abu Ella, Omar; Elmusrati, Mohammed (Springer, 15.01.2022)
articleMassive MIMO has become a core technology for the next generation of wireless communications, and the non-linear group decoding schemes can achieve better spectral and energy efficiency, which in turn leads to higher data ... -
Advanced Communication and Control Methods for Future Smart Grid
Mekkanen, Mike; Ghofrani, Mahmoud (IntechOpen, 13.07.2022)
bookPartThe reliability of intelligent electronic device (IED) function that ensures a particular disturbance will disconnect as fast enough from the healthy network to mitigate the effect of the fault is directly related to the ... -
Advanced-stage tongue squamous cell carcinoma : a machine learning model for risk stratification and treatment planning
Alabi, Rasheed Omobolaji; Elmusrati, Mohammed; Leivo, Ilmo; Almangush, Alhadi; Mäkitie, Antti A. (Taylor & Francis, 15.02.2023)
articleBackground A significant number of tongue squamous cell carcinoma (TSCC) patients are diagnosed at late stage. Objectives We primarily aimed to develop a machine learning (ML) model based on ensemble ML paradigm to ... -
An approach for analysing supply chain complexity drivers through interpretive structural modelling
Piya, Sujan; Shamsuzzoha, Ahm; Khadem, Mohammad (Taylor & Francis, 18.11.2019)
articleToday’s greater product variety, shorter product life cycle, and lower production costs are pushing companies to look beyond their own boundaries, thereby, creating complexity in the management of the supply chain. To ... -
An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes
Rodgers, Waymond; Murray, James M.; Stefanidis, Abraham; Degbey, William Y.; Tarba, Shlomo Y. (Elsevier, 03 / 2023)
articleManagement scholars and practitioners have highlighted the importance of ethical dimensions in the selection of strategies. However, to date, there has been little effort aimed at theoretically understanding the ethical ... -
An effective statistical process control scheme for industrial environmental monitoring
Shamsuzzaman, Mohammad; Haridy, Salah; Maged, Ahmed; Bashir, Hamdi; Shamsuzzoha, Ahm; Ali, Ahad (Elsevier, 05.09.2022)
articleOne major source of environmental pollution is industrial effluents, especially the heavy metal pollutants, including zinc, in the wastewater discharged from manufacturing industries (hereinafter known as an environmental ... -
An Extreme Learning Machine Model for Venue Presence Detection
Khan, Wiqar; Raza, Asif; Kuusniemi, Heidi; Elmusrati, Mohammed; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael (Springer, 19.01.2023)
bookPartValue-added services allocation or denial in a particular venue for a given user is of high significance. It will get more prominent as we move to 5G and 6G networks’ roll out, as we will get other means to have better ...