Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects [PDF]
PeerJ Computer ScienceFog computing has emerged as a prospective paradigm to address the computational requirements of IoT applications, extending the capabilities of cloud computing to the network edge.
Deafallah Alsadie
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Notational Modeling for Model Driven Cloud Computing using Unified Modeling Language
EAI Endorsed Transactions on Scalable Information Systems, 2018 Cloud Computing and Model-Driven Engineering (MDE) are two of the most dominant paradigms nowadays. Models are considered as major parts in the MDE, and concentrates on the formation and then conversion of models to the implementation. Cloud Computing is
Muhammad Faisal +2 more
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Enhancing 5G Networks with Edge Computing: An Overview Study [PDF]
ITM Web of ConferencesThis paper explores the synergies between Multi-access Edge Computing (MEC) and 5G technology, including their methodologies, characteristics, and architectures.
Chaouki Halima +2 more
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Toward a Tool-Based Development Methodology for Pervasive Computing Applications [PDF]
IEEE Transactions on Software Engineering, 2012 Despite much progress, developing a pervasive computing application remains a challenge because of a lack of conceptual frameworks and supporting tools. This challenge involves coping with heterogeneous devices, overcoming the intricacies of distributed systems technologies, working out an architecture for the application, encoding it in a program ...
Cassou, Damien +3 more
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A Survey on Human Emotion Recognition Approaches, Databases and Applications
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015 This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in ...
C. Vinola, K. Vimaladevi
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Control Applications Using Computational Intelligence Methodologies [PDF]
2005 International Conference on Industrial Electronics and Control Applications, 2006 The ambiguity, robustness and performance of systems becomes increasingly evident as the complexity and size increase in industrial processes. Under these circumstances, conventional control techniques such as PID control, nonlinear feedback control, LQG control and Hinfin control have several disadvantages because they are hard or inflexible and ...
Cerón Aguirre, Oscar +2 more
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HPC Platform for Railway Safety-Critical Functionalities Based on Artificial Intelligence
Applied Sciences, 2023 The automation of railroad operations is a rapidly growing industry. In 2023, a new European standard for the automated Grade of Automation (GoA) 2 over European Train Control System (ETCS) driving is anticipated.
Mikel Labayen +4 more
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Coalescence computations for large samples drawn from populations of time-varying sizes.
PLoS ONE, 2017 We present new results concerning probability distributions of times in the coalescence tree and expected allele frequencies for coalescent with large sample size.
Andrzej Polanski +3 more
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Attribute-Based Encryption Schemes for Next Generation Wireless IoT Networks: A Comprehensive Survey
Sensors, 2023 Most data nowadays are stored in the cloud; therefore, cloud computing and its extension—fog computing—are the most in-demand services at the present time.
Shruti +3 more
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An Item Response Theory-based R module for Algorithm Portfolio Analysis
SoftwareXExperimental evaluation is crucial in AI research, especially for assessing algorithms across diverse tasks. Many studies often evaluate a limited set of algorithms, failing to fully understand their strengths and weaknesses within a comprehensive ...
Brodie Oldfield +3 more
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