Smart Charging Recommendation Framework for Electric Vehicles: A Machine-Learning-Based Approach for Residential Buildings by Nikolaos Tsalikidis, Paraskevas Koukaras, Dimosthenis Ioannidis, Dimitrios Tzovaras

“…The framework’s modular design ensures adaptability to local charging infrastructure within or nearby building complexes, making it a versatile tool for enhancing energy efficiency in residential settings.…”
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Blockchain-based optimization of operation and trading among multiple microgrids considering market fairness by Hao Liu, Tianguang Lu, Yueping Yang, Yu Guo, Qinzheng Wu, Xiaotong Xu, Haibing Zeng

“…Market transactions increase the complexity of energy interactions between MGs in the VPP and generate a significant amount of associated data, thereby imposing higher demands on the fairness of transactions and data privacy. …”
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Predefined Time Control of State-Constrained Multi-Agent Systems Based on Command Filtering by Jianhua Zhang, Xuan Yu, Quanmin Zhu, Zhanyang Yu

“…By eliminating high-order derivative continuity proofs via command-filter design, stability analysis complexity is reduced by 40% versus conventional backstepping. …”
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Two–Stage Detection and Localization of Inter–Frame Tampering in Surveillance Videos Using Texture and Optical Flow by Naheed Akhtar, Muhammad Hussain, Zulfiqar Habib

“…Existing techniques face significant limitations, including restricted applicability, poor generalizability, and high computational complexity. This paper presents a robust detection system to meet the challenges of frame duplication (FD) and frame insertion (FI) detection in surveillance videos. …”
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Rapid isotopic exchange in mineralogically unaltered coral skeletons by Jarosław Stolarski, Deyanira Cisneros-Lazaro, Arthur Adams, Katarzyna Janiszewska, Anders Meibom

“…However, we also observed that coral skeletons with less ultrastructural complexity exhibited lower susceptibility to isotope exchange, suggesting a criterium to identify the fossil specimens most suitable for paleoenvironmental analysis.…”
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THE 'INBETWEENERS’ IN THE BANKING UNION: INSIGHTS FROM THE EXPERIENCE OF ECB-CNB CLOSE COOPERATION by Marta Božina Beroš, Ivana Parać, Ivana Bajakić

“…Inbetweeners add to the complexity of BU governance, as close cooperation necessitates the ECB exercising bespoke supervisory powers, prompts the development of innovative regulatory and administrative solutions at Member State level to ensure the coexistence of different integration spheres, and demands institutional fine-tuning of national supervisors essential for reaping the benefits of SSM governance. …”
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A dual-core model for ENSO diversity: unifying model hierarchies for realistic simulations by Jinyu Wang, Xianghui Fang, Nan Chen, Bo Qin, Mu Mu, Chaopeng Ji

“…The stochastic model ensures computational efficiency and statistical accuracy. …”
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Cross-correlation-based signal pruning method (CCSPM) for effective signal distortion reduction in massive MIMO communications by M. Kasiselvanathan, SatheeshKumar Palanisamy, N. Sathishkumar, K. B. Gurumoorthy, Tagrid Abdullah N. Alshalali, S. Lakshmi Narayanan

“…Abstract Massive Multiple-Input-Multiple-Output (MIMO) ensures spectral and energy improvements for a large number of communicating terminals in the base station. …”
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Visualising and evaluating learning/achievement consistency in introductory statistics by Taryn Axelsen, Rachel King, Elizabeth Curtis

“…The study highlighted the limitations of traditional evaluation methods in capturing the complexity and variability of student knowledge. It further emphasized the importance of thoughtful assessment design to ensure that students developed a cohesive understanding of the material regardless of the grade level they achieve. …”
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Research on Lightweight Small Object Detection Algorithm Based on Context Representation by Li Qiang, Cui Jianghui

“…Among them, partial convolutional (PConv) is utilized to construct a backbone network (P-Net), which ensures detection performance while further reducing computational complexity. …”
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TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency by Lesia Mochurad, Roman Levkovych

“…Abstract In the context of the growing volume and complexity of data, traditional methods of energy consumption forecasting, such as Recurrent Neural Networks (RNN), face computational complexity issues that limit their real-time application. …”
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Immersive Tools in Engineering Education—A Systematic Review by Vasco Reis, João Santos Baptista, Joana Duarte

“…SG design must balance engagement, immersion and pedagogical effectiveness to ensure viability. Future research should assess long-term impacts and promote methodological consistency across studies, particularly in subject areas and sample demographics, while determining a way to reduce motion sickness and alleviating SG complexity and difficulty.…”
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Elastic regularization networks for enhanced UAV visual tracking by Qingjiao Meng, Ji Li, Yan Jin, Zhaotian Deng

“…However, most DCF-based trackers rely on predefined regularization terms and update their appearance models frame-by-frame, leading to increased computational complexity. This study aims to address these limitations. …”
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Research and analysis of traction converter for EMU based on MBSE by WANG Baomin, YANG Jiuhe, ZHOU Jinxiang, WANG Haifang, CHE Jun

“…Additionally, a traceability matrix was established to ensure no omission in the functional analysis. The study findings endorse the application of the MBSE methodology, particularly through model correlations, as an effective solution to challenges in the design of EMU traction converters, such as complexities in information search and modifications in the traditional document-based mode. …”
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Optimizing the Spatial Layout of Agricultural Irrigation Sprinklers Using Remote Sensing Data: An Adaptive Incremental <inline-formula><tex-math notation="LaTeX">$K$</tex-math></in... by Jing Geng, Shangxian Zhao, Yifei Wang, Qi Li

“…By placing sprinklers at these centroids, the algorithm ensures high irrigation coverage and minimizes water waste. …”
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Experiences of elderly patients regarding participation in their hospital discharge: a qualitative metasummary by Astrid Bergland, Ingvild Lilleheie, Jonas Debesay, Asta Bye

“…The complexity of patient participation for this patient group should be recognised to enhance user involvement during discharge from hospital. …”
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INFORMATION SECURITY IN MOBILE MODULAR MEASURING SYSTEMS by A. N. Tkhishev, P. S. Gorshkov, A. P. Golovkin

“…When carrying out their functions, it should be implemented a proper information control of the mobile modular measurement systems to ensure their protection from the risk of data leakage, modification or loss, i.e. to ensure a certain level of information security. …”
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Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF by Dasheng Chen, Qi Song, Yinbin Zhang, Ling Li, Zhiming Yang

“…The dataset is carefully anonymized to ensure maximum realism and comprehensiveness, while safeguarding sensitive information. …”
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Care and compassion in large-group teaching: uncovering teachers’ experiences by Emma Kennedy, Suzan Koseoglu, Shreyashi Chakraborty, Punitha Puttuswamy

“…In the UK, neoliberalism in higher education has pushed universities to increase cohort sizes as a way to meet higher education demands and ensure economic sustainability. Consequently, the proportion of staff undertaking large-group teaching has increased to ensure students receive adequate contact hours for direct learning from teaching staff on a larger scale. …”
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Generative AI in Higher Education: Guiding Principles for Teaching and Learning (Volume 1) by Awu Isaac Oben

“…It outlines a strategic roadmap for institutional implementation while critically addressing the complexities and ethical dilemmas inherent in adopting GenAI technologies within higher education contexts. …”
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