Harnessing machine learning for streamflow prediction: A comparative study of advanced models in the Upper Klang River Basin, Malaysia by Napisah Nasir, Dani Irwan, Ali Najah Ahmed, Saerahany Legori Ibrahim, Izihan Ibrahim, Mohsen Sherif, Ahmed El-Shafie

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Privacy-Preserving Keyword Search With Access Control for Secret Sharing-Based Data Outsourcing by Ahmad Akmal Aminuddin Mohd Kamal, Masamune Okada, Masaya Fujisawa

“…Furthermore, we provide an in-depth analysis of the security aspects of our proposed distribution, query generation, and search processes, demonstrating that our approach is resilient to honest-but-curious adversaries with information from up to <inline-formula> <tex-math notation="LaTeX">$k-1$ </tex-math></inline-formula> computing servers. …”
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SOCIOMORPHIC NEUROMODELING IN ACADEMIC EMOTIONOLOGY AS AN INTEGRATION OF NEUROCOGNITIVE AND PSYCHOLINGUISTIC KNOWLEDGE IN ARTIFICIAL INTELLIGENCE by Max Talanov, Irina S. Karabulatova, Victor Erokhin, Jordi Vallverdú

“…Erokhin – development of processes for biosensors and bioelectronics in the framework of neuromorphic computing; conducting experiments for bioinspired computing; clarifying terminology; J. …”
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Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications by Badr Mouazen, Ayoub Benali, Nouh Taha Chebchoub, El Hassan Abdelwahed, Giovanni De Marco

“…Our findings highlight the effectiveness of hybrid deep learning models in improving accuracy, interpretability, and real-time processing capabilities. These contributions have significant implications for applications in neurofeedback, mental health monitoring, and affective computing. …”
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Determining the Traction Characteristic of a Tractor in Operating Conditions by A. G. Arzhenovskiy, D. S. Kozlov, N. A. Petrishchev

“…The authors have developed and assembled a measuring and computing installation that allows processing arrays of data from two inductive sensors. …”
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Neural networks with personalized training for improved MOLLI T1 mapping by Olympia Gkatsoni, Christos G. Xanthis, Sebastian Johansson, Einar Heiberg, Håkan Arheden, Anthony H. Aletras

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Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications by Lih-Jen Kau, Chin-Kun Tseng, Ming-Xian Lee

“…With the rapid expansion of Internet of Things (IoT) and edge computing applications, efficient video transmission under constrained bandwidth and limited computational resources has become increasingly critical. …”
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Application of the Characteristic Basis Function Method Using CUDA by Juan Ignacio Pérez, Eliseo García, José A. de Frutos, Felipe Cátedra

“…In this work, we address the adaptation of this method to a relatively new computing infrastructure provided by NVIDIA, the Compute Unified Device Architecture (CUDA), and take into account some of the limitations which appear when the geometry under analysis becomes too big to fit into the Graphics Processing Unit’s (GPU’s) memory.…”
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Software in Metrology for the Digital Age: Addressing Compliance Challenges with MID, NAWID, and MDR by Koval Martin, Tesař Jiří, Staněk Martin, Foltýnek Jaroslav

“…While metrology has been crucial, software now plays an equally significant role, enabling data processing, automation, and new functionalities. Emerging technologies like AI, IoT, or cloud computing introduce compliance challenges. …”
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An efficient blockchain-based privacy preservation scheme for smart grids by Mohamad Badra, Rouba Borghol

“…We validate our approach through testing and show that it is a simple, scalable, cost-effective solution with minimal computational processing overhead.…”
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Spatial Archaeology: Remote Sensing for the Study and Preservation of Cultural Heritage through Open Data and FLOSS Tools by Giuseppe Guarino, Alessia Brucato

“…This research used diverse open-access satellite repositories offered by space programs such as Copernicus and, as case studies, analyzed two inland highland sites in Sicily (Italy). All images were processed with filters, algorithms, and routines in free Open-Source software such as QGIS 3.34.0 and cloud computing platforms like Google Earth Engine. …”
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Physarum Boats: If Plasmodium Sailed It Would Never Leave a Port by Andrew Adamatzky

“…The plasmodium is a promising substrate for non-classical, nature-inspired computing devices. It is capable of approximation of the shortest path in a maze, computation of planar proximity graphs and plane tessellations, primitive memory and decision making. …”
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Matrix Approaches for Covering-Based Multigranulation Fuzzy Rough Set Models by Zaibin Chang, Junchao Wei

“…Hence, presenting novel methods to compute them quickly is our motivation for this paper. …”
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DECENTRALIZATION IN DIGITAL SOCIETIES.A DESIGN PARADOX by E. Pournaras

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Research on the consensus of big data systems based on RDMA and NVM by Hao WU, Kang CHEN, Yongwei WU, Weimin ZHENG

“…Distributed storage systems and computing systems are the foundation for constructing big data processing systems.High availability of the system is the cornerstone of any distributed system.High-availability technologies generally rely on consensus protocols.The classic non-Byzantine distributed consensus protocol was discussed,as well as the RDMA communication protocol and NVM storage media under the development of new technologies to achieve higher performance high availability systems by combining them.The consensus protocol to make the better use of the features of RDMA and NVM was modified.The implemented system effectively improves the performance of the protocol while ensuring the consistency and availability of the system data.Experiments show that the system implemented in this paper can achieve 40% performance improvement compared to existing systems.…”
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Cyber-physical-social system:a data-centric framework by Shuying ZHAI, Bin GUO, Ru LI, Tingliang WANG, Zhiwen YU, Xingshe ZHOU

“…Cyber-physical-social system(CPSS) connects the cyber space,the physical space,and the social space,which has become a promising human-in-the-loop computing system.The unique features of CPSS from the data-centric level were characterized,including the interweaving of spatio-temporal data,the fusion of cross-space data and the collaboration of human and machine intelligence.Furthermore,a general framework for data-centric CPSS was built,with the underpinnings such as resource management,collaborative sensing,data pre-processing,data fusion,and privacy protection.Finally,the major application areas of data-centric CPSS (e.g.…”
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A multiscale brain emulation-based artificial intelligence framework for dynamic environments by Yong Xie

“…It simulates the structure and computational mechanisms of biological brains on multiple scales, encompassing multi-compartment neuron architectures, diverse synaptic connection modalities, neural microcircuits, cortical columns, and brain regions, as well as biochemical processes including facilitation, feedforward inhibition, short-term potentiation, and short-term depression, all grounded in solid neuroscience. …”
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Exploration of crowdsourcing in information extraction from remote sensing images by Jianghua ZHAO, Xuezhi WANG, Qinghui LIN, Jianhui LI, Yuanchun ZHOU

“…Based on geospatial data cloud(GSCloud),the application of crowdsourcing in large scale information extraction from satellite images was studied,and a systematic architecture of this paradigm was proposed.By performing an experiment of extracting lakes on Qinghai-Tibetan plateau from landsat images,various aspects of the paradigm like the incentive mechanism,task assignment method,task division and many others were explored.Results show that paying part of the reward in advance and assigning a task to a team instead of individuals do not help attracting more applicants and improving the quality of results.And the accumulation of talents is of critical importance to obtain high-quality task results.Since this paradigm integrates crowdsourcing and machine computing power,and it is generic,it can be applied in more massive remote sensing image processing work which requires much human intervention.…”
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Online Discrete Anchor Graph Hashing for Mobile Person Re-Identification by Liang Xie, Xi Fang

“…Besides, mobile person re-id task also requires real-time processing. In this paper, we propose a novel hashing method: online discrete anchor graph hashing (ODAGH) for mobile person re-id. …”
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Reverse-Engineered Exact Control of Population Transfer in Lossy Nonlinear Three-State Systems by Artur Ishkhanyan

“…These features open doors for practical implementation and scalability in quantum technologies, with potential applications in quantum information processing, quantum computing, and quantum communication.…”
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