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D2PAM : Epileptic seizures prediction using adversarial deep dual patch attention mechanism
(The Institution of Engineering and Technology, 29.07.2023)
articleEpilepsy is considered as a serious brain disorder in which patients frequently experience seizures. The seizures are defined as the unexpected electrical changes in brain neural activity, which leads to unconsciousness. ... -
Dancing with ignorance : Utilizing social media to enhance public authorities’ sensemaking abilities in times of crises
(IKAM - Institute of Knowledge Asset Management, 2024)
articleThis paper builds on the relatively underexplored yet increasingly intriguing domain of ignorance, a topic that is garnering interest within the academic community. Traditional crisis management often relies on existing ... -
Data balance sheet in OP Financial Group
(Routledge, 30.09.2022)
bookPartWe use a qualitative case study research approach in Finland's largest financial services group to explore the design and use of a data balance sheet—a new and innovative form of corporate voluntary disclosure reporting. ... -
Data Privacy, Ethics and Education in the Era of AI – A University Student Perspective
(RWTH Aachen, 2024)
articleIn today’s world nothing has been left untouched in relation to artificial intelligence (Al). Al is used for everything from mowing lawns to reporting news. One field in which its presence is highly complex and multifaceted ... -
Data protection and space : What challenges will the General Data Protection Regulation face when dealing with space-based data?
(Henry Stewart Publications, 01.01.2021)
articleRecently, space or satellite technology, as well as space data applications, is developing rapidly, resulting in a variety of uses. At the same time, related legal issues raise questions about how they can be handled ... -
Data-Driven Chance-Constrained Optimal Gas-Power Flow Calculation : A Bayesian Nonparametric Approach
(IEEE, 11.03.2021)
articleThis paper proposes a data-driven chance-constrained optimal gas-power flow (OGPF) calculation method without any prior assumption on the distribution of uncertainties of wind power generation. The Gaussian mixture model ... -
Data-Driven Intermittent Earth Fault Detection in Compensated and Isolated MV Networks
(IEEE, 25.06.2024)
articleFinnish Distribution System Operators (DSOs) have extensive experience in operating compensated or isolated Medium Voltage (MV) networks. Intermittent earth faults, which can potentially lead to permanent ones, are a common ... -
Data-driven Optimal Scheduling of Isolated Microgrid Using Random Forest Regressor
(IEEE, 20.11.2024)
articleDesign, operation, and planning of Microgrids (MGs) have been enriched by advances in machine learning (ML) techniques and availability of real data. These advancements have significantly improved the accuracy of predictions ... -
Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries
(Elsevier, 20.11.2020)
articleThe circular economy plays an important role in energy-intensive industries, aiming to contribute to ethical sustainable societal development. Energy demand response is a key actor for cleaner production and circular economy ... -
Data-driven sustainable supply chain through centralized logistics network : Case study in a Finnish pharmaceutical distributor company
(Elsevier, 10.10.2020)
articleLogistics processes are in the core of transportation, providing a structure for distributing products on an international scale. This research was conducted as a commissioned research for a Finnish pharmaceutical wholesaler. ... -
Day-ahead market participation of an active distribution network equipped with small-scale compressed air energy storage systems
(Institute of Electrical and Electronics Engineers (IEEE), 20.01.2020)
articleLarge-scale compressed air energy storage (CAES) is conventionally used in power systems. However, application of CAESs at the distribution level is limited because of differences in design and efficiency. On the other ... -
Day-Ahead Parametric Probabilistic Forecasting of Wind and Solar Power Generation using Bounded Probability Distributions and Hybrid Neural Networks
(IEEE, 27.04.2023)
articleThe penetration of renewable energy sources in modern power systems increases at an impressive rate. Due to their intermittent and uncertain nature, it is important to forecast their generation including its uncertainty. ... -
Day-Ahead Scheduling for Economic Dispatch of Combined Heat and Power with Uncertain Demand Response
(IEEE, 18.04.2022)
articleThis paper presents an energy management method for the interconnected operation of power, heat, Combined Heat and Power (CHP) units to settle the Day-Ahead market in the presence of a demand response program (DRP). A major ... -
DC Voltage Level–Based Power Supply Prioritization in Multi–Inverter System : Marine Use Case
(IEEE, 22.09.2020)
articleThis paper introduces a multi-inverter system power supply prioritization method based on the system's DC voltage level. The purpose of the functionality is to first utilize the more desirable power source in the inverters' ... -
DC-DFFN: Densely Connected Deep Feature Fusion Network With Sign Agnostic Learning for Implicit Shape Representation
(IEEE, 11.05.2023)
articleReconstructing 3D surfaces from raw point cloud data is still a challenging and complex problem in computer vision and graphics. Recently emerged neural implicit representations model 3D surfaces implicitly in arbitrary ... -
(De)constructing societal threats during times of deep mediatization. The Communication Review: Special Issue Introduction
(Taylor & Francis, 11.11.2022)
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De-globalization, International Trade Protectionism, and the Reconfigurations of Global Value Chains
(Springer Nature, 24.11.2023)
articleBy presenting an investigation of the impact of international trade protectionism on the reconfigurations of the global value chains (GVCs), this paper challenges the perceived assumption of ongoing globalization and the ... -
Death and the Plague in The Story of Wanderings
(Routledge, an imprint of Taylor & Francis, 15.10.2021)
articleLittle known beyond the Russian speaking world, The Story of Wanderings is a dark fantasy film produced in the late period of the Soviet cinema. The film was classified as a children’s film by the director, film critics, ... -
Decentralised demand response market model based on reinforcement learning
(The Institution of Engineering and Technology, 16.09.2020)
articleA new decentralised demand response (DR) model relying on bi-directional communications is developed in this study. In this model, each user is considered as an agent that submits its bids according to the consumption ... -
Decidable Variable-Rate Dataflow for Heterogeneous Signal Processing Systems
(IEEE, 14.05.2020)
articleDynamic dataflow models of computation have become widely used through their adoption to popular programming frameworks such as TensorFlow and GNU Radio. Although dynamic dataflow models offer more programming freedom, they ...
