A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines by Steffen Kieß, Thomas Lang, Tomas Sauer, Andreas Michael Stock, Andrey Chernov, Yipeng Sun, Andreas K. Maier, Tomáš Faragó, Alexey Ershov, Gabriel Lefloch, Guilherme Silva, Tilo Baumbach, Simon Zabler, Astrid Hölzing, Kilian Dremel, Ali Riza Durmaz, Akhil Thomas, Ingo Manke, Nikolay Kardjilov, Tobias Arlt, Tak Ming Wong, Regine Willumeit-römer, Julian Moosmann, Berit Zeller-Plumhoff, Dieter Froning, Sven Simon

“…This framework reduces the computational burden on the computing infrastructure of large synchrotron and neutron facilities by allowing end users to process datasets on their institution's computers. …”
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Selected Case Studies Regarding Research-Based Education in the Area of Machine and Civil Assemblies by Roman Wdowik, Paweł Litwin, Artur Bełzo, Artur Borowiec, Marek Magdziak, Barbara Ciecińska, Angelos Markopoulos, Bahman Azarhoushang, Faramarz Hojati

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In Situ TEM Studies of Tunnel‐Structured Materials for Alkali Metal‐Ion Batteries by Shuge Dai, Chenke Yang, Ye Wang, Yunrui Jiang, Longhui Zeng

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Mathematical modelling of Darcy–Forchheimer MHD Williamson nanofluid flow above a stretching/shrinking surface with slip conditions by Rehman Ali, Khan Dolat, Salleh Zabidin

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Models and scenarios for solar radiation modification need to include human perceptions of risk by Brian Beckage, Katherine Lacasse, Kaitlin T Raimi, Daniele Visioni

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2D affine transform parameters by Gaussian elimination with pivoting by Tariq N. Ataiwe, Israa Hatem, Hisham M. Jawad Al Sharaa

“…Geometric transformation is a technique used to define the properties of common features between different images using the same coordinates basis, This method can be effectively used in image processing and computer vision to facilitate the computation process throughout eliminating the need for solving the inverse of the matrix.…”
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A comprehensive survey on big data privacy and Hadoop security: Insights into encryption mechanisms and emerging trends by Youness Filaly, Nisrine Berros, Fatna El mendili, Younes El Bouzekri EL idrissi

“…Big data has transformed analytics and data processing in many different industries, but securing security and privacy in distributed systems like Hadoop is still rather complex. …”
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Cloud Platform Selection Model in the Framework of Differential Quality Game With Fuzzy Information by Kaiyrbek Makulov, Arkadii A. Chikrii, Valery Lakhno, Bagdat Yagaliyeva, Volodimir Malyukov, Inna Malyukova, Miroslav Lakhno

“…The paper presents a mathematical model integrated into the computational core of a decision support system (DSS) for the selection of cloud platforms under conditions of fuzzy information. …”
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IoT-Driven Innovations in Concrete Curing: Advancing Sustainable Construction with Hot Water Curing by Manoj Tangudu, Sai Vaddi Sesha, Prasad D.R., Tadepalli Tezeswi, Rao T. Muralidhara, Bommisetty Jagadeesh

“…Curing is a critical process in concrete construction, ensuring adequate hydration for achieving the desired strength and durability. …”
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Integrated Model-Based Engineering using Deep Learning with IIoT for Industry 4.0 by P. Senthilkumar, K. Rajesh

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Predicting snow cover and frozen ground impacts on large basin runoff: developing appropriate model complexity by N. Wu, N. Wu, N. Wu, N. Wu, K. Zhang, K. Zhang, K. Zhang, K. Zhang, K. Zhang, A. Naghibi, H. Hashemi, Z. Ning, Z. Ning, Z. Ning, Q. Zhang, X. Yi, H. Wang, W. Liu, W. Gao, J. Jarsjö

“…To address this, we extended the widely used Grid Xinanjiang (GXAJ) hydrological model by developing two physically meaningful yet computationally efficient modules: (i) the GXAJ-S model, which incorporates snowmelt processes, and (ii) the GXAJ-S-SF model, which additionally accounts for freeze–thaw cycles of SFG. …”
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A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters by Muhammad Asif, Maaz Bin Ahmad, Imtiaz A. Taj, Muhammad Tahir

“…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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Semi-Empirical Approach to Evaluating Model Fit for Sea Clutter Returns: Focusing on Future Measurements in the Adriatic Sea by Bojan Vondra

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Optimization of Characteristic Diagram Based Thermal Error Compensation via Load Case Dependent Model Updates by Christian Naumann, Janine Glänzel, Martin Dix, Steffen Ihlenfeldt, Philipp Klimant

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Model Predictive Control of Nonlinear System Based on GA-RBP Neural Network and Improved Gradient Descent Method by Youming Wang, Didi Qing

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Improved RRT*-Connect Manipulator Path Planning in a Multi-Obstacle Narrow Environment by Xueyi He, Yimin Zhou, Haonan Liu, Wanfeng Shang

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Specular Reflection Image Enhancement Based on a Dark Channel Prior by Ye Xin, Zhenhong Jia, Jie Yang, Nikola K. Kasabov

“…Experimental results show that this method can effectively enhance the information in specular highlight images, and its processing results are obviously better than those of other algorithms.…”
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Emotion recognition and interaction of smart education environment screen based on deep learning networks by Zhao Wei, Qiu Liguo

“…Smart education environments combine technologies such as big data, cloud computing, and artificial intelligence to optimize and personalize the teaching and learning process, thereby improving the efficiency and quality of education. …”
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Integrating holographic counterparts for intelligent IoT consumer devices by M. Rajesh, M. Usha, Sathishkumar Veerappampalayam Easwaramoorthy

“…In order to overcome the shortcomings of conventional Internet of Things (IoT) systems, such as slow response times, lack of flexibility, and security flaws, this article introduces a new multi-layered HC-IoT design that integrates blockchain technology, artificial intelligence (AI), edge computing, and quantum-assisted processing. With the help of the suggested architecture, smart devices may function more independently, rely less on centralised servers, and save more accurate data. …”
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DIKWP-TRIZ: A Revolution on Traditional TRIZ Towards Invention for Artificial Consciousness by Kunguang Wu, Yucong Duan

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