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MEinVR: Multimodal interaction techniques in immersive exploration
Publication Type: Academic Journal
Source(s): Visual Informatics, Vol 7, Iss 3, Pp 37-48 (2023)
Abstract: Immersive environments have become increasingly popular for visualizing and exploring large-scale, complex scientific data because of their key features: immersion, engagement, and awareness. Virtual reality offers numerous new interaction possibilitie...
Multi-scale visual analysis of cycle characteristics in spatially-embedded graphs
Publication Type: Academic Journal
Source(s): Visual Informatics, Vol 7, Iss 3, Pp 49-58 (2023)
Abstract: We present a visual analysis environment based on a multi-scale partitioning of a 2d domain into regions bounded by cycles in weighted planar embedded graphs. The work has been inspired by an application in granular materials research, where the questi...
Management of Var sources for the reactive power planning problem by oppositional Harris Hawk optimizer
Publication Type: Academic Journal
Source(s): Journal of Electrical Systems and Information Technology, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract: Abstract Reactive power management has grown more crucial for increased synchronization in modern power systems, since transmission loss minimization is a basic condition for secure power system operation. This paper proposes the Oppositional-based Har...
Forecasting household energy consumption based on lifestyle data using hybrid machine learning
Publication Type: Academic Journal
Source(s): Journal of Electrical Systems and Information Technology, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract: Abstract Household lifestyle play a significant role in appliance consumption. The overall effects are that, it can be a determining factor in the healthy functioning of the household appliance or its abnormal functioning. The rapid growth in residenti...
Classifying blinking and winking EOG signals using statistical analysis and LSTM algorithm
Publication Type: Academic Journal
Source(s): Journal of Electrical Systems and Information Technology, Vol 10, Iss 1, Pp 1-19 (2023)
Abstract: Abstract Detection of eye movement types whether the movement of the eye itself or blinking has attracted a lot of recent research. In this paper, one method to detect the type of wink or blink produced by the eye is scrutinized and another method is p...
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis
Publication Type: Academic Journal
Source(s): Journal of Big Data, Vol 10, Iss 1, Pp 1-29 (2023)
Abstract: Abstract The identification and prognosis of the potential for developing Cardiovascular Diseases (CVD) in healthy individuals is a vital aspect of disease management. Accessing the comprehensive health data on CVD currently available within hospital d...
Efficient Network Representation Learning via Cluster Similarity
Publication Type: Academic Journal
Source(s): Data Science and Engineering, Vol 8, Iss 3, Pp 279-291 (2023)
Abstract: Abstract Network representation learning is a de facto tool for graph analytics. The mainstream of the previous approaches is to factorize the proximity matrix between nodes. However, if n is the number of nodes, since the size of the proximity matrix ...
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
Publication Type: Academic Journal
Source(s): Data Science and Engineering, Vol 8, Iss 3, Pp 234-246 (2023)
Abstract: Abstract Multi-key membership testing plays a crucial role in computing systems and networking applications, encompassing web search, mail systems, distributed databases, firewalls, and network routing. Traditional approaches, such as the Bloom filter,...
Learning with Small Data: Subgraph Counting Queries
Publication Type: Academic Journal
Source(s): Data Science and Engineering, Vol 8, Iss 3, Pp 292-305 (2023)
Abstract: Abstract Deep Learning (DL) has been widely used in many applications, and its success is achieved with large training data. A key issue is how to provide a DL solution when there is no large training data to learn initially. In this paper, we explore ...
Fully Dynamic Contraction Hierarchies with Label Restrictions on Road Networks
Publication Type: Academic Journal
Source(s): Data Science and Engineering, Vol 8, Iss 3, Pp 263-278 (2023)
Abstract: Abstract In the real world, road networks with weight and label on edges can be applied in several application domains. The shortest path query with label restrictions has been receiving increasing attention recently. To efficiently answer such kind of...