Application of Cloud Simulation Techniques for Robotic Software Validation by Diogo Vieira, Miguel Oliveira, Rafael Arrais, Pedro Melo

“…Continuous Integration and Continuous Deployment are known methodologies for software development that increase the overall quality of the development process. Several robotic software repositories make use of CI/CD tools as an aid to development. …”
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In silico modelling of neuron signal impact of cytokine storm-induced demyelination by Geoflly L. Adonias, Harun Siljak, Sasitharan Balasubramaniam, Michael Taynnan Barros

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Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels by Friederike Barkmann, Andreas Lindner, Ronald Würflinger, Helmut Höttinger, Johannes Rüdisser

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Policy-Based Smart Contracts Management for IoT Privacy Preservation by Mohsen Rouached, Aymen Akremi, Mouna Macherki, Naoufel Kraiem

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A novel methodological approach to SaaS churn prediction using whale optimization algorithm. by Muhammed Kotan, Ömer Faruk Seymen, Levent Çallı, Sena Kasım, Burcu Çarklı Yavuz, Tijen Över Özçelik

“…Results show that WOA-reduced datasets improve processing efficiency and outperform full-variable datasets in predictive performance. …”
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Numerical study of crack path by MMCG specimen using M integral by S. El Kabir, R. Moutou Pitti, N. Recho, Y. Lapusta, F. Dubois

“…The stability is shown for the opening mode (Mode I), the shear mode (Mode II), and the mixed mode of 15°, 30°, 45°, 60°, 75° by computing the energy release rate versus the crack length. …”
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A Mobility-Aware Efficient Routing Scheme for Mobile Sensor Networks by Jinman Jung, Yookun Cho, Jiman Hong

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Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

“…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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TM-Chain: TCB Measurement Management Using Cloud Blockchain for IoT Devices by Jaemin Park, Sungjin Park

“…Remote attestation (RA) is a process for checking whether a device’s underlying Trusted Computing Base (TCB) and sensing data from the TCB are trustworthy. …”
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Context-Aware Intelligent Traffic Light Control through Secure Messaging by Mükremin Özkul, Ilir Capuni, Elton Domnori

“…The vehicle is modeled as a virtual sensor which reports the traffic state, such as its speed and location, to a traffic light controller through a secure and computationally lightweight protocol. During the reporting process, a vehicle’s identity and location are kept anonymous to any other vehicle in the system. …”
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An Initial Investigation of Adjoint-Based Unstructured Grid Adaptation for Vortical Flow Simulations by Li Li

“…A computational fluid dynamics (CFDs) method utilizing unstructured grid technology has been employed to compute vortical flow around a 65° delta wing with sharp leading edge, which is specially known as the geometry of the second international vortex flow experiment (VFE-2). …”
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Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

“…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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Active Disturbance Rejection Control for an automotive suspension system based on parameter tuning using a fuzzy technique. by Tuan Anh Nguyen

“…In general, system adaptation is ensured under many investigated conditions based on tuning the controller parameters by the soft computing method.…”
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Merging Sequence Optimization Based on Reverse Auction Theory and Merging Strategy with Active Trajectory Adjustment of Heterogeneous Vehicles by ShiHui Wang, Min Zhao, DiHua Sun, Xiaoyu Liu

“…In the method, a hybrid optimized computing structure is proposed to provide the foundation for connected and human-driving vehicles (CHVs) and connected and automated vehicles (CAVs) to obtain the MS more efficiently. …”
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Research on Railway Passenger Volume Forecast Based on the Spline Interpolation and IPSO-Gradient Difference Acceleration Rule by Dingyuan Fan, Fei Yang, Jinghao Ji, Zexi Zhang

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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…Our re-implementation of each method in Java allows meaningful comparisons of the computational complexity and computing time associated with each algorithm. …”
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A Novel Methodology for the Stochastic Integration of Geophysical and Hydrogeological Data in Geologically Consistent Models by Alexis Neven, Philippe Renard

“…To speed up the inversion process, forward responses are computed in lower‐dimensional spaces relevant to each physical problem. …”
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Parallel division clustering algorithm based on Spark framework and ASPSO by Yimin MAO, Dejin GAN, Liefa LIAO, Zhigang CHEN

“…To deal with the problems that the partition clustering algorithm for processing massive data encountered problems such as large data dispersion coefficient and poor anti-interference, difficulty to determine the number of local clusters, local cluster centroids randomness, and low efficiency of local cluster parallelization and merging, a parallel partition clustering algorithm based on Spark framework and ASPSO (PDC-SFAS PSO) was proposed.Firstly, a meshing strategy was introduced to reduce the data dispersion coefficient of the data division and improve anti-interference.Secondly, to determine the number of clusters, meshing strategy based on potential function and Gaussian function were proposed, which formed an area with different sample points as the core clusters, and obtained the number of local clusters.Then, to avoid local cluster centroids randomness, ASPSO was proposed.Finally, a local cluster merging strategy based on cluster radius and neighbor nodes was introduced to merge clusters with large similarity based on the Spark parallel computing framework, which improved the efficiency of parallel merging of local clusters.Experimental results showed that the PDC-SFASPSO algorithm has good performance in data partitioning and clustering in a big data environment, and it was suitable for parallel clustering of large-scale data sets.…”
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A Novel Graphical Technique for Combinational Logic Representation and Optimization by Vedhas Pandit, Björn Schuller

“…Transforming a function into the proposed representations (also the inverse) is a very intuitive process, easy enough that a person can hand-calculate these transformations. …”
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Digital platforms in the agricultural sector: Dynamics of oligopolistic platformisation by Monja Sauvagerd, Maximilian Mayer, Monika Hartmann

“…We explore how these pre-existing oligopolistic market structures influence the process and outcomes of platformisation in the ag sector. …”
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