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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. ... -
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 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 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 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 ... -
Decision Making Towards Integration of Sustainability Into Project Management : A Multilevel Theory Building Approach
(De Gruyter Open, 09 / 2017)
articleIn recent years project management has reached into a new paradigm because of integration of sustainability into the projects. The paper argues that multilevel approach is the key driver of successful sustainable project ... -
Decision tree analysis to identify harmful contingencies and estimate blackout indices for predicting system vulnerability
(Elsevier, 01.01.2020)
articleCascading failure is the main mechanism for progressing large blackouts in power systems. Following an initial event, it is challenging to predict whether there is a potential for starting cascading failure. In fact, the ... -
Decomposition formula for rough Volterra stochastic volatility models
(World Scientific Publishing Company, 14.04.2021)
articleThe research presented in this paper provides an alternative option pricing approach for a class of rough fractional stochastic volatility models. These models are increasingly popular between academics and practitioners ... -
Deep learning-based approach for forecasting intermittent online sales
(Springer Nature, 19.12.2023)
articleDeep Neural Networks (DNN’s) present some of the leading applications of Artificial Intelligence (AI) which have proven suitability on various machine-learning use cases. Forecasting demand of intermittent on-line sales ... -
Deep Machine Learning for Oral Cancer : From Precise Diagnosis to Precision Medicine
(Frontiers Media, 11.01.2022)
articleOral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and improper treatment planning still form ...