A novel approach for energy- and memory-efficient data loss prevention to support Internet of Things networks by Pooya Hejazi, Gianluigi Ferrari

“…Internet of Things integrates various technologies, including wireless sensor networks, edge computing, and cloud computing, to support a wide range of applications such as environmental monitoring and disaster surveillance. …”
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Enhancing Text Classification Through Quantum Transfer Learning: A Hybrid Quantum-Classical Approach With Complex Kernel Self-Attention Networks by Xiaoxiao Chen, Xiaoping Lou

“…Quantum computing, with its unique principles such as superposition and entanglement, promises to transform various domains, including artificial intelligence. …”
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State Characteristic Clustering for Nonintrusive Load Monitoring with Stochastic Behaviours in Smart Grids by Ruotian Yao, Hong Zhou, Dongguo Zhou, Heng Zhang

“…Moreover, a multisegment computing scheme is applied for fast computing in the state characteristic clustering process. …”
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Financial fraud detection using a hybrid deep belief network and quantum optimization approach by Gui Yu, Zhenlin Luo

“…The hybrid model utilises the parallel processing power of quantum computing to improve the training efficiency of DBNs, while CNNs, LSTMs and GNNs extract features from multiple dimensions of financial market data. …”
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Forecasting the volatility of Financial Time Series by Tree Ensembles by O. S. Vidmant

“…The proposed method allows to reduce the cost of computing power and time for data processing in the analysis of short-term positions in the financial markets and to identify risks with a certain level of confidence probability.…”
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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

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A Column Encryption-Based Privacy-Preserving Framework for Hadoop Big Data Sets by Hidayath Ali Baig

“… The exponential growth of the Internet, the Internet of Things, and Cloud Computing in recent times has led to a significant rise of data across various sectors of business and industry. …”
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Nonlinear Pulse-Time Conversion in Radioisotope Devices: Analysis and Application Possibilities by A. M. Vodovozov

“…A generalized algorithm for the synthesis of a given transformation function of a time-pulse computing device of a radioisotope device has been developed according to its mathematical description. …”
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Investigating translation for Indic languages with BLOOMZ-3b through prompting and LoRA fine-tuning by Aarathi Rajagopalan Nair, Deepa Gupta, B. Premjith

“…The study further traverse fine-tuning the BLOOMZ-3b model using a Parameter Efficient Fine-Tuning technique called Low Rank Adaptation, aiming to reduce computational complexity. Hence, by combining innovative prompting approaches using BLOOMZ-3b model and fine-tuning the model, it contributes to continuous development of machine translation technologies beyond traditional borders of what can be done with respect to language processing. …”
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Integration of vehicular network and smartphones to provide real-time visual assistance during overtaking by Subhadeep Patra, Carlos T Calafate, Juan-Carlos Cano, Peter Veelaert, Wilfried Philips

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Transforming Bale Twine into Useful Products with an Affordable Melting Machine: Closed-Loop for Recycling Plastics by Akesh Babu Kakarla, William Ritchie, Ing Kong

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Parallel Implementation of the Katsevich's FBP Algorithm

“…<p>For spiral cone-beam CT, parallel computing is an effective approach to resolving the problem of heavy computation burden. …”
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RINX 2.0: A Containerized Climate Raster Information Extraction System on OpenShift Cloud Environment by D. Jain, J. Blossom, J. Hayes, H. Gibson, S. Rifas-Shimann, D. R. Gold

“…RINX (Raster INformation eXtraction) 2.0 is an advanced solution for efficiently extracting climate data from large raster datasets in a cloud computing environment. Building upon the original RINX 1.0, which utilized high-performance computing clusters, RINX 2.0 leverages cloud technologies such as OpenShift and PostGIS to handle massive datasets and automate the extraction process. …”
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Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning by Sarah Dandou, Kriti Amin, Véronique D’Hondt, Jérôme Solassol, Olivier Dereure, Peter J. Coopman, Ovidiu Radulescu, Holger Fröhlich, Romain M. Larive

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A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware by Fandi Kurniawan, Deris Stiawan, Darius Antoni, Mohd Yazid Idris, Rahmat Budiarto

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Cryogenic microwave link for quantum local area networks by W. K. Yam, M. Renger, S. Gandorfer, F. Fesquet, M. Handschuh, K. E. Honasoge, F. Kronowetter, Y. Nojiri, M. Partanen, M. Pfeiffer, H. van der Vliet, A. J. Matthews, J. Govenius, R. N. Jabdaraghi, M. Prunnila, A. Marx, F. Deppe, R. Gross, K. G. Fedorov

“…Abstract Scalable quantum information processing with superconducting circuits is expected to advance from individual processors located in single dilution refrigerators to more powerful distributed quantum computing systems. …”
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Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

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Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data by Du Guangqian, Zheng Meng, Wang Shijie

“…Using the distributed computing design concept to efficiently process big data, a dynamic evaluation model for the seismic performance of reinforced concrete frame structures is established. …”
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Symmetric Block Algorithm WBC1 and Analysis of Its Implementation Complexity by Igor Baranov

“…Introduction. Nowadays, computer networks are gaining more and more importance for information exchange. …”
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Multi-gate neuron-like transistors based on ensembles of aligned nanowires on flexible substrates by João Neto, Abhishek Singh Dahiya, Ravinder Dahiya

“…Abstract The intriguing way the receptors in biological skin encode the tactile data has inspired the development of electronic skins (e-skin) with brain-inspired or neuromorphic computing. Starting with local (near sensor) data processing, there is an inherent mechanism in play that helps to scale down the data. …”
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