Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations by Ayodele Abiola Periola, Olabisi Emmanuel Falowo

“…OCS enables the underutilised HPC to be used to train learning algorithms of a cognitive base station. The performances of the three mechanisms are evaluated. …”
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Advancing buffet onset prediction: a deep learning approach with enhanced interpretability for aerodynamic engineering by Jing Wang, Wei Liu, Hairun Xie, Miao Zhang

“…After that, employing explainable machine learning techniques, including Gradient-weighted Class Activation Mapping (Grad-CAM), random forest algorithms, and statistical analysis, the research investigates the correlations between supervised CNN features and key physical characteristics related with the separation region, shock wave, leading edge suction peak, and post-shock loading. …”
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Confocal Endomicroscopy of Colorectal Polyps by Vivian M. Ussui, Michael B. Wallace

“…CLE has the potential to be a disruptive technology in that it can change the current algorithms that depend on biopsy to perform surveillance of high-risk conditions. …”
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Utilizing MV-FLOW™ and multidimensional ultrasound characteristics for prognosticating FET outcomes in RIF patients: Study Protocol for a cross-sectional study. by Ying Zhou, Li-Ying Liu, Hua-Ju Yang, Yuan-Yuan Lai, Di Gan, Jie Yang

“…Based on the above, this study aims to establish and validate a clinical prediction model for FET outcomes using support vector classification (SVC) algorithms, based on MV-FLOW™ and multidimensional transvaginal ultrasound imaging features. …”
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Fault Modeling and Testing for Analog Circuits in Complex Space Based on Supply Current and Output Voltage by Hongzhi Hu, Shulin Tian, Qing Guo

“…This model is a family of circle loci on the complex plane, and it simplifies greatly the algorithms for test point selection and potential fault simulations, which are primary difficulties in fault diagnosis of analog circuits. …”
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Data services and data plane for 6G mobile communication network by Xueqiang YAN, Guanjie CHENG, Shuiguang DENG, Jianjun WU, Lu LU, Mingyu ZHAO, Yan XI, Chao LIU, Weiyuan LI, Lei FENG, Tong ZHANG

“…The existing communication network represented by 5G is used as a communication session data “pipeline”for information exchange between terminal devices and the network.Different from the point-to-point transmission of communication session data, the data generated and consumed by AI, sensing and network operations in 6G network needs to be collected, preprocessed, stored, and analyzed in a distributed manner.To this end, a data plane architecture independent of the traditional user plane was proposed to systematically solve the challenges of managing and monetization of the non-user-plane data for 6G mobile communication networks.The classification and characteristics of 6G network data and data services were identified and defined.Furthermore, based on the comparative analysis of the 5G user plane and the existing data-driven network architecture, a 6G data plane framework composed of two main components i.e.data orchestrator and data agent was proposed, and the data plane functional architecture was elaborated.In addition, three potential options for data forwarding control mechanisms were designed.These mechanisms can support on-path-packet processing within any topology of data pipelines, realizing the construction and maintenance of dynamic programmable data pipeline and the thorough separation of routing algorithms and data forwarding.…”
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Possibility of critical practice in computational design: applications on boundaries between public and private space by Laurence Kimmel

“…The way parameters and algorithms could be set to function in this model is utopian, although, according to theories of “emergence”, theoretically feasible in the future. …”
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Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management by Álvaro Bueno-Ferrer, Jaime De Pablo Valenciano, Jerónimo De Burgos Jiménez

“…Additionally, genetic algorithms stand out as particularly important. Conclusions: This research provides a comprehensive and detailed view of the impact of metaheuristics on the transportation sector, highlighting their current and future trends (such as artificial intelligence) and their economic relevance.…”
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Solar Field Mapping and Dynamo Behavior by Kenneth H. Schatten

“…The domain of this algorithmic model is the Sun’s photosphere. Within this computational space are placed two types of entities or agents; one may refer to them as bluebirds and cardinals; the former carries outward magnetic flux and the latter carries out inward magnetic flux. …”
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After visibility: Data as a factor of production in Douyin e-commerce by Shuaishuai Wang

“…This involves measurements employing surveillance technologies that span image and speech recognition, keywords, performance metrics, and pricing algorithms. The article argues that Douyin e-commerce cannot be fully explained by the current visibility research paradigm centered on metrics such as likes, shares, and comments, which are considered indications of interests and preferences. …”
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Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping by Alexander Gresch, Martin Kliesch

“…For instance, the measurement effort poses a critical bottleneck for variational quantum algorithms. We aim to find the optimal strategy with single-qubit measurements that yields the highest provable accuracy given a total measurement budget. …”
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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“…Databases of unimaginable magnitude can be harnessed to develop algorithms for AI and to refine machine learning. Complex neural networks now lie at the core of ubiquitous AI systems in healthcare. …”
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Versatile LCL Inverter Model for Controlled Inverter Operation in Transient Grid Calculation Using the Extended Node Method by Daniela Vorwerk, Detlef Schulz

“…Furthermore, an approach is developed for how inverter control algorithms are interconnected with the method’s results in the time domain. …”
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Unstructured Grids and the Multigroup Neutron Diffusion Equation by German Theler

“…Also, the classic 2D IAEA PWR benchmark problem is solved for eighty combinations of symmetries, meshing algorithms, basic geometric entities, discretization schemes, and characteristic grid lengths, giving even more insight into the peculiarities that arise when solving the neutron diffusion equation using unstructured grids.…”
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MRR scheduling based cognitive LTE-R eNode B and type of service value priority queue management strategy by Hongyu DENG, Yiming WANG, Cheng WU

“…Cognitive radio technology was used to build cognitive radio networks in long-term evolution railway communication systems,and cognitive base station network architecture and MRR scheduling algorithms were proposed to improve the spectrum utilization of railway dedicated networks.In particular,the FIFO policy for cognitive LTE-R base stations in a single vehicle gateway causes excessive delay in real-time services of secondary users,and a cognitive LTE-R base station queue management strategy based on priority of service types was proposed.This strategy gave priority to sending packets with large service type values to the queue,so as to achieve the purpose of prioritizing real-time services.Simulation results show that under the premise of ensuring the normal communication of vehicles,the constructed cognitive base station can provide passengers with additional internet access links,and at the same time,improve the spectrum utilization rate of the LTE-R communication system.In addition,the cognitive base station queue management strategy based on service type value priority can effectively reduce the delay of passenger real-time services.…”
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On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing by Maurizio Murroni

“…We address this problem by means of the genetic algorithms (GAs), which allow flexible suboptimal solution with reduced complexity. …”
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CNN-Trans-SPP: A small Transformer with CNN for stock price prediction by Ying Li, Xiangrong Wang, Yanhui Guo

“…Deep learning models offer a more robust solution to nonlinear problems compared to traditional algorithms. In this paper, we propose a simple yet effective fusion model that leverages the strengths of both transformers and convolutional neural networks (CNNs). …”
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Digital transformation of the Russian media business in the face of uncertainty by A. M. Druzhinin

“…Platforms, technologies and algorithms are implemented into media production, in no small part, in the context of an understanding of the infosphere and technosphere processes within the framework of actor-network theory. …”
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Low-Dosed X-Ray Computed Tomography Imaging by Regularized Fully Spatial Fractional-Order Perona-Malik Diffusion by Zhiwu Liao

“…Existing fractional-order Perona-Malik Diffusion (FOPMD) algorithms used in noise suppressing suffer from undesired artifacts and speckle effect, which hamper FOPMD used in low-dosed X-ray computed tomography (LDCT) imaging. …”
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