Cross-Domain Recommendation With Personalized Rating Pattern Compatibility as Transfer Rate Between Domains by Natthapol Maneechote, Saranya Maneeroj, Atsuhiro Takasu

“…This process prevents the leakage of irrelevant information by allowing the model to apply a lower transfer rate when the characteristics of the domains differ and a higher transfer rate when they are similar. …”
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Method of node distribution for heterogeneous WMSN based on load balancing by Yong-hong ZHU, En-jie DING

“…Multiple hop transmission in wireless sensor networks(WSN)would bring the energy hole problem near the sink.It proved that the energy hole problem would appear in any position in heterogeneous wireless multimedia sensor networks and propose a method of the node distribution based on load balancing to solve the problem.The energy consumption was analyzed on the basis of considering the data compression ratio and the energy consumed for data transmission and processing.It proved that in heterogeneous WMSN the energy consumption of data processing would affect the node distribution and define a word that profit of data processing.The simulation results show that the energy utilization rate and the survival time of the network can be effectively improved by using the method proposed.…”
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A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging by Mimosette Makem, Levente Tamas, Lucian Bușoniu

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Filtered dataset of Irish energy performance certificates: A data-driven approach for enhanced building stock modellingMendeley DataGithubSEAI NBER by Kumar Raushan, Tomás Mac Uidhir, Marisa Llorens Salvador, Brian Norton, Ciara Ahern

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A review of the recent advances in heat transfer through ducting in the rotational moulding process and the future trends by Sutirtha Chowdhury, Jayantha Epaarachchi, Ahmad Sharifian-Barforoush, Md Mainul Islam

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Regulation of inflationary processes in the conditions of open economy (on the example of economy of the Republic of Tajikistan) by M. M. Ahmedova

“…The mechanism  of direct and indirect influence  of foreign economic factors, in particular the exchange rate on inflationary processes, is investigated. …”
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Proposed improvement of product support packaging material defects using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach by Rina Fitriana, Anik Nur Habyba, Gina Almas Nabiha, Sannia Mareta

“…The Data Preparation stage performs data cleaning, integration, transformation, and preprocessing. …”
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Analytical solution of the navier-stokes equations for heat and mass transfer processes during the growth of silicon carbide single crystals by V. I. Altukhov, A. V. Sankin, V. S. Savvin, A. S. Sigov, D. V. Semenov

“…The estimation of the crystal growth rate is consistent with the results of numerical calculations by other authors and the available experimental data. …”
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Wavelet Estimation of Partial Derivatives in Multivariate Regression Under Discrete-Time Stationary Ergodic Processes by Sultana Didi, Salim Bouzebda

“…To investigate their asymptotic behavior, we adopt a martingale-based approach specifically adapted to the ergodic nature of the data-generating process. Importantly, the framework imposes no structural assumptions beyond ergodicity, thereby circumventing restrictive dependence conditions. …”
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Digital streaming media distribution and transmission process optimisation based on adaptive recurrent neural network by Wenjing Shan

“…By simulating the real environment, it is verified that the model can improve the efficiency of distribution resources and reduce the access rejection rate and data jitter caused by interruption.…”
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Development of Interactive e-Modules Based on Socio-Scientific Issues Integrated Micro-Project to Train Students' Understanding of Concepts and Science Process Skills by Aiza Alya, Dyah Purwaningsih

“…This study aims to develop interactive e-modules based on socio-scientific issues integrated micro-projects to train students' understanding of concepts and science process skills on reaction rate material. This method of research is Research and Development (R&D) with a 4-D development model consisting of four stages namely define, design, develop, and disseminate. …”
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Scalable 5G NR Rate-Matcher and Rate-Dematcher for Efficient Use in FPGA Accelerators by Nemanja Filipovic, Dragomir El Mezeni, Vladimir L. Petrovic

“…Disaggregation addresses these challenges by splitting the RAN into network units-central (CU), distributing (DU), and radio (RU), enabling data processing virtualization and implementation on off-the-shelf hardware. …”
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An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data by Jiaxuan Jia, Lei Zhang, Kai Yin, Uwe Sörgel

“…Accurate individual tree crown delineation (ITCD), which can be used to estimate various forest parameters such as biomass, stem density, and carbon storage, stands as an essential component of precision forestry. Currently, raster data such as the canopy height model derived from airborne light detection and ranging (LiDAR) data have been widely used in large-scale ITCD. …”
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What is in a food store name? Leveraging large language models to enhance food environment data by Analee J. Etheredge, Samuel Hosmer, Aldo Crossa, Rachel Suss, Mark Torrey

“…IntroductionIt is not uncommon to repurpose administrative food data to create food environment datasets in the health department and research settings; however, the available administrative data are rarely categorized in a way that supports meaningful insight or action, and ground-truthing or manually reviewing an entire city or neighborhood is rate-limiting to essential operations and analysis. …”
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Flood control data push method of large reservoir based on artificial intelligence technology by Fei He, Xueming Li

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Predicting unemployment rates in Indonesia by Umi Mahmudah

“… The main purpose of this study is to predict the unemployment rate in Indonesia by using time series data from 1986 to 2015 using autoregressive integrated moving average (ARIMA). …”
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A unified framework for post-disaster hazard and structural assessment data collection across hazards and infrastructure typologies by Mohammad S. Alam, Tracy Kijewski-Correa, David B. Roueche, Khalid M. Mosalam, David O. Prevatt, Ian Robertson

“…Along with unification of data fields, preliminary mapping rules were developed to map out existing hazard-specific damage rating scales (e.g., wind, surge/flood, rainwater ingress) to the European Macroseismic Scale (EMS-98) compatible unified damage scale, enabling consolidation of global damage ratings into a common data field, facilitating the unification of multiple hazards within a single app. …”
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Leveraging Historical Process Data for Recombinant <i>P. pastoris</i> Fermentation Hybrid Deep Modeling and Model Predictive Control Development by Emils Bolmanis, Vytautas Galvanauskas, Oskars Grigs, Juris Vanags, Andris Kazaks

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Digital twin system for manufacturing processes based on a multi-layer knowledge graph model by Chang Su, Xin Tang, Qi Jiang, Yong Han, Tao Wang, Dongsheng Jiang

“…Abstract Digital twin technology in the manufacturing process faces challenges like integrating diverse data sources and managing real-time data flow. …”
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MSKT: multimodal data fusion for improved nursing management in hemorrhagic stroke by Ting Zhou, Dandan Li, Jingfang Zuo, Aihua Gu, Li Zhao

“…Due to the rapid progression and high complexity of hemorrhagic stroke, traditional nursing methods struggle to cope with the challenges posed by its high incidence and high disability rate. Methods To address this, we propose an innovative approach based on multimodal data fusion and a non-stationary Gaussian process model. …”
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