La écfrasis en el Libro de Alexandre, un proyecto de edición digital para el estudio de la poesía clerical castellana del siglo XIII con minimal computing by Gabriel A. Calarco

“…Secondly, I describe the process of semantic enrichment of the text, the XML-TEI encoding, and the minimal computing approach. …”
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Prospects of digital scientific publishing on blockchain: The concept of DAP [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved] by Zorislav Šojat, Karolj Skala, Davor Davidović, Josip Maričević, Tomislav Zubčić, Viktor Bojović, Draško Tomić, Branimir Kolarek, Mario Pecimotika, Tadej Slapnik, Dario Pažin

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Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption by Gaofeng CUI, Yuanyuan XU, Shanghong ZHANG, Weidong WANG

“…To solve the problems of ground passive eavesdropping when ground users offload data to the multi-UAV(unmanned aerial vehicle) edge computing network, a secure data offloading strategy that minimized system energy consumption by jointly optimizing user matching and resource allocation was proposed.Considering the constraints of system delay, communication resources and computing resources, the probability of security interruption was used to restrict the security performance of the data offload process.By using block coordinate descent and successive convex approximation algorithm, the user transmission power, offload factor, UAV computing resource allocation and jamming power were jointly optimized.A pair-wise stable user matching algorithm was proposed to minimize the total energy consumption of UAV system.Simulation results demonstrate that the algorithm can realize the safe offloading of data, and has good performance in energy consumption and delay by comparing with the conventional strategies.…”
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Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption by Gaofeng CUI, Yuanyuan XU, Shanghong ZHANG, Weidong WANG

“…To solve the problems of ground passive eavesdropping when ground users offload data to the multi-UAV(unmanned aerial vehicle) edge computing network, a secure data offloading strategy that minimized system energy consumption by jointly optimizing user matching and resource allocation was proposed.Considering the constraints of system delay, communication resources and computing resources, the probability of security interruption was used to restrict the security performance of the data offload process.By using block coordinate descent and successive convex approximation algorithm, the user transmission power, offload factor, UAV computing resource allocation and jamming power were jointly optimized.A pair-wise stable user matching algorithm was proposed to minimize the total energy consumption of UAV system.Simulation results demonstrate that the algorithm can realize the safe offloading of data, and has good performance in energy consumption and delay by comparing with the conventional strategies.…”
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Construction method of attack scenario in cloud environment based on dynamic probabilistic attack graph by Wenjuan WANG, Xuehui DU, Dibin SHAN

“…Aiming at the problem of complex multi-step attack detection, the method of attack scenario construction oriented to cloud computing environment was studied.Firstly, a dynamic probabilistic attack graph model was constructed, and a probabilistic attack graph updating algorithm was designed to make it update periodically with the passage of time and space, so as to adapt to the elastic and dynamic cloud computing environment.Secondly, an attack intention inference algorithm and a maximum probability attack path inference algorithm were designed to solve the uncertain problems such as error and fracture of attack scenarios caused by false positive or false negative, and ensure the accuracy of attack scenario.Meanwhile, the attack scenario was dynamically evolved along with the dynamic probability attack graph to ensure the completeness and freshness of the attack scenario.Experimental results show that the proposed method can adapt to the elastic and dynamic cloud environment, restore the penetration process of attacker’s and reconstruct high-level attack scenario, and so provide certain references for building supervised and accountable cloud environment.…”
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Optimized Trust Prediction and Multi-Criteria Framework for Task and Data Collector Selection Using Deep Learning in Ubiquitous Environments by Ahmed A. A. Gad-Elrab

“…In crowdsourcing and ubiquitous computing environments, efficient task assignment and data collector selection are vital for system performance and profitability. …”
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Trade Ease With Machine Learning and AWS by Kamurthi Ravi Teja, Chuan-Ming Liu

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Resource Allocation for Edge-enhanced Distributed Power Wireless Sensor Network by Gang WU, Jinhui ZHOU, Hui LI

“…Then, the total resource processing capacity of the central unit/distribution unit is determined by controlling the waiting latency in the load transfer process under the common constraints of the remaining resources of the RF remote unit, the load queuing latency, and the remaining resources of the central unit/distribution unit. …”
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Research on variable-length control chart pattern recognition based on sliding window method and SECNN-BiLSTM by Tao Zan, Xiaolong Jia, Xiaoyu Guo, Min Wang, Xiangsheng Gao, Peng Gao

“…Abstract Control charts, as essential tools in Statistical Process Control (SPC), are frequently used to analyze whether production processes are under control. …”
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AIoT Monitoring for Early Identification of Diseases in Grapevines: Complete Study by Mihaela Hnatiuc, Domnica Alpetri, Sorin-Robertino Sintea, Bogdan Hnatiuc, Gabriel Margarit Raicu, Mirel Paun, Ionica Dina

“…Cloud computing facilitates data processing and real-time visualization, allowing farmers to make timely, data-driven decisions for disease control. …”
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An all integer-based spiking neural network with dynamic threshold adaptation by Chenglong Zou, Chenglong Zou, Xiaoxin Cui, Shuo Feng, Guang Chen, Yi Zhong, Zhenhui Dai, Yuan Wang

“…Due to this all integer-based quantization process, the required computational operations are significantly reduced, potentially providing a substantial energy efficiency advantage for numerous edge computing applications.…”
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Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA by S. V. Aswin Kumer, N. Prabakaran, E. Mohan, Balaji Natarajan, G. Sambasivam, Vaibhav Bhushan Tyagi

“…The allocation of computational tasks in a cloud environment is a complicated process that is affected by multiple factors, such as available network bandwidth, make span, and cost considerations. …”
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Tuning the Resistance of a VO2 Junction by Focused Laser Beam and Atomic Force Microscopy by Zhuoqun Fang, Melissa Alzate‐Banguero, Amit R. Rajapurohita, Forrest Simmons, Erica W. Carlson, Zhuoying Chen, Lionel Aigouy, Alexandre Zimmers

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Mind vs. machine: Comparative analysis of metaphor-related word translation by human and AI systems by Zhengjian Li, Lang Chen

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Building a Spatial Database by Developing a Work Environment to Accomplish the Automatic Transfer Process for Remote Sensing Data from Raster to Linear by Diaa Al-Berhawi

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Solving implementation issues of Permutation Monte Carlo in different network reliability contexts by Héctor Cancela, Leslie Murray, Gerardo Rubino

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Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks by Preeti Yadav, Vinay Rishiwal, Mano Yadav, Aziz Alotaibi, Vinay Maurya, Udit Agarwal, Satyam Sharma

“…This paper examines the role of Transfer Learning in IIoT-N, identifying research gaps and challenges, and highlights its potential across various industrial applications, including predictive maintenance, anomaly detection, edge computing, process optimization, and cross-domain knowledge transfer. …”
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Inline Wear Detection in High-Speed Progressive Dies Using Photometric Stereo by Moske Jonas, Kutlu Hasan, Steinmeier Adrian, Groenewold Phil, Santos Pedro, Kuijper Arjan, Weinmann Andreas, Groche Peter

“…By assigning anomalies to distinct process stages, the system enhances defect diagnosis. …”
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Improved FFT-based alpha-stable density approximation algorithm by BAI Yun, YU Li, ZHU Guang-xi, LI Li

“…Approximation of density of α-stable process is an elementary works in modeling network flow using α-stable process.Combining the mathematical properties of characteristic function of α-stable process with the traditional approximating algorithm,an improved FFT-based algorithm was proposed.The improved algorithm has 2 noticeable features: automatically choosing the sampling space and sampling interval,importing frequency expansion.Experiments show that it can decrease calculation complexity and effectively control computation error.…”
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A Study of Correlations between Chemical Composition, Hot Rolling Process Pa rameters, Microstructure and Mechanical Properties of Hot Rolled DP600 Steel by T. Kaźmierski, J. Krawczyk, Ł. Frocisz, P. Matusiewicz

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