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A novel DOA estimation method for distributed sources in impulsive noise environments
Direction of arrival (DOA) estimation has a wide range of applications in military and civilian fields. However, most methods are based on Gaussian...
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Parameter estimation for coherently distributed noncircular sources under impulsive noise environments
The signal source generates angular expansion in space due to scattering, reflection and other phenomena in a complex environment, which requires a...
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Distributed source DOA estimation based on deep learning networks
With space electromagnetic environments becoming increasingly complex, the direction of arrival (DOA) estimation based on the point source model can...
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Distributed deformable configuration control for multi-robot systems with low-cost platforms
This work presents a deformable configuration controller —a fully distributed algorithm that enables a swarm of robots to avoid an obstacle while...
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Reaching self-stabilising distributed synchronisation with COTS Ethernet components: the WALDEN approach
For reaching deterministic self-stabilising distributed synchronisation with commercial-off-the-shelf (COTS) Ethernet, this paper explores the...
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Research on Distributed Beamforming Algorithm Based on Inter-satellite Link
The inter-satellite link load belongs to a system with limited power volume, and generally has low antenna gain and weak transmission capacity. Aimed...
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Inventory Management Optimization in Multi-Stage Supply Chains Under Uncertainty
We deal with the optimal inventory control problem for Multi-Stage Supply Chains (MSSC) with uncertain dynamics. The two sources of uncertainty we...
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COVID-19 in the Twitterverse, from epidemic to pandemic: information-sharing behavior and Twitter as an information carrier
In this study, we defined a Twitter network as an information channel that includes information sources containing embedded messages. We conducted...
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Semantic similarity measure for topic modeling using latent Dirichlet allocation and collapsed Gibbs sampling
Automatically extracting topics from large amounts of text is one of the main uses of natural language processing (NLP). The latent Dirichlet...
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Multi-dimensional geospatial data mining in a distributed environment using MapReduce
Data mining and machine learning techniques for processing raster data consider a single spectral band of data at a time. The individual results are...
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Foregrounding Pedagogy in PLM Implementations in Higher Education: A Case Study from the UK
There is a global trend toward improving the student learning experience in higher education through the incorporation of an authentic experience of...
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Generation and Performance Evaluation of Distributed Interference Based on Multiple-Wavelet
Sensor networks are groups of specialized transducers that have a communications infrastructure which is intended to record and monitor conditions...
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DENCAST: distributed density-based clustering for multi-target regression
Recent developments in sensor networks and mobile computing led to a huge increase in data generated that need to be processed and analyzed...
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Robust DOA estimation and tracking for integrated sensing and communication massive MIMO OFDM systems
In this paper, we propose a robust direction-of-arrival (DOA) estimation and tracking scheme for a massive multiple input multiple output (MIMO)...
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Coordinating and programming multiple ROS-based robots with X-KLAIM
Software development for robotics applications is still a major challenge that becomes even more complex when considering multi-robot systems (MRSs)....
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Enhancing domain-aware multi-truth data fusion using copy-based source authority and value similarity
Data fusion, within the data integration pipeline, addresses the problem of discovering the true values of a data item when multiple sources provide...
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Privacy in Internet of Things Ecosystems – Prerequisite for the Ethical Data Collection and Use by Companies
The abstract should summarize the contents of the paper in short terms, i.e. 150–250 words. The expansion of IoT implementations in organisations has...
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Natural2CTL: A Dataset for Natural Language Requirements and Their CTL Formal Equivalents
The design of contemporary critical systems involves numerous requirements that must be clearly and coherently articulated, posing significant...
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Anomaly Detection in Cloud Computing using Knowledge Graph Embedding and Machine Learning Mechanisms
The orchestration of cloud computing infrastructures is challenging, considering the number, heterogeneity and dynamicity of the involved resources,...
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Programming Multi-robot Systems with X-KLAIM
Software development for robotics applications is still a major challenge that becomes even more complex when considering a Multi-Robot System (MRS)....