SoK: Delegated Security in the Internet of Things by Emiliia Geloczi, Felix Klement, Patrick Struck, Stefan Katzenbeisser

“…The increased use of electronic devices in the Internet of Things (IoT) leads not only to an improved comfort of living but also to an increased risk of attacks. IoT security has thus become an important research field. …”
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Dazzle: Oversampled Image Reconstruction and Difference-imaging Photometry for the Nancy Grace Roman Space Telescope by Michael D. Albrow

“…We present algorithms and software for constructing high-precision difference images to detect and measure transients, such as microlensing events, in crowded stellar fields using the Nancy Grace Roman Space Telescope. …”
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Absence and Blow-Up of Solutions to Singular Perturbation Problems in the Case of Exchange of Stabilities by M. A. Terentyev

“…We consider some singular perturbation problems in the case where a degenerate equation has intersecting roots (this case is also referred to as ‘ the exchange of stabilities’). …”
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Subtraction Method for Subpixel Stitching: Synthetic Aperture Holographic Imaging by Zhangyue Wei, John J. Healy, Min Wan

“…With optimization, the result shows that the SM achieves high accuracy and requires less computational time for image stitching when compared to contemporary image stitching algorithms.…”
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Compressive Sensing of Multichannel Electroencephalogram Signals Based on Nonlocal Low-Rank and Cosparse Priors by Jun Zhu, Lei Feng, Chunmeng Wang

“…However, this is ignored by contemporary compressive sensing (CS) algorithms, resulting in less recovery quality than is ideal. …”
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Harnessing Generative AI in Higher Education: Opportunities, Challenges, and Ethical Imperatives by R. Ravichandran, P. Sasikala

“…It explores how AI tools can enhance student engagement, support teacher empowerment, and enable inclusive learning, especially in under-resourced settings. The paper also interrogates key ethical concerns, such as academic integrity, data privacy, algorithmic bias, and equity, while analysing current government initiatives aimed at responsible AI adoption. …”
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Point Cloud Deep Learning Methods for Particle Shower Reconstruction in the DHCAL by Borysova Maryna, Bressler Shikma, Gross Eilam, Kakati Nilotpal, Zavazieva Darina

“…Combined with Graph Attention Transformers (GATs) and DeepSets algorithms, this results in an improvement over existing baseline techniques for particle identification and energy resolution. …”
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Estimating the influence of accounting variables change on earnings management detection by Igor Pustylnick, Oksana Temchenko, Sergey Gubarkov

“…Neither of these two detection algorithms attempts to quantify earnings management and connect it with the infractions committed by the companies, charged by the regulator (in this case – U.S. …”
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Statistical Analysis of Reinforced Concrete Bridges in Estonia by Sander Sein, Jose Campos Matos, Juhan Idnurm

“…Principal components and weighing factors, which are calculated for bridges with different typology, also have differences in results and element groups where variation is retained.…”
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Tafsir Digital: Antara Adaptasi dan Krisis Otoritas Keagamaan by Dina Istiqomah, Muhammad Rusidi, Opi Yensi

“…The study reveals the ambivalence of digital tafsir, while innovative, it is also vulnerable to epistemological fragmentation. …”
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Television in and After the Archive: Catalogues, Databases, Interfaces and Other Ways to Organize Audiovisual Records by Giulia Taurino, Georgia Aitaki

“…Significant attention is given to the technocultural transformation of the archival work in light of digital and algorithmic practices, emphasizing how these innovations contribute to the making of cultural identities and collective memory while also raising questions on the circulation of television content after its initial broadcasting lifecycle. …”
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TSQ: An Optimized Framework for Efficiently Answering Time Series Queries by Feifan Pu, Jianqiu Xu

“…Firstly, dimensionality reduction algorithms can be employed to reduce the complexity of the data. …”
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Improving Cost Contingency Estimation in Infrastructure Projects with Artificial Neural Networks and a Complexity Index by Michael C. P. Sing, Qiuwen Ma, Qinhuan Gu

“…These findings not only advance the theoretical framework of ML algorithms for cost contingency prediction by implementing interval predictions but also provide practitioners with improved ML-based tools for more accurate infrastructure project cost performance predictions.…”
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Speech Enhancement using Greedy Dictionary Learning and Sparse Recovery by K. N. H. Srinivas, I. Santhi Prabha, M. Venugopala Rao

“…With a bit-precision of Q7 fixed-point arithmetic, this approach is also used in resource-constrained embedded systems, and the performance is considerably better than other algorithms. …”
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Enhancing Security of Error Correction in Quantum Key Distribution Using Tree Parity Machine Update Rule Randomization by Bartłomiej Gdowski, Miralem Mehic, Marcin Niemiec

“…Two dynamic update algorithms—dynamic_rows and dynamic_matrix—are proposed and tested. …”
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Design of machine learning-based controllers for speed control of PMSM drive by Ashly Mary Tom, J. L. Febin Daya

“…A comparison of the simulation results between the PI controller and the suggested control algorithms validates the effectiveness of the proposed control algorithms for speed control applications. …”
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A machine learning-based efficient anomaly detection system for enhanced security in compromised and maligned IoT Networks by Anita Punia, Manish Tiwari, Sourabh Singh Verma

“…The proliferation of the Internet of Things (IoT) has brought about unprecedented connectivity and automation, yet it has also introduced significant security vulnerabilities. …”
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Comparison of RRT and TRRT Object Arrangement Path Planning Robot for Retail Warehouse Using CoppeliaSim by L. H. Kwee, N. M. M. Sobran

“…To address these issues, the Transition-based Rapidly-exploring Random Tree Star (TRRT) is proposed to achieve the shortest distance in shelving items at warehouse. The study also implements inverse kinematics algorithms for smooth arm manipulation. …”
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Payload location for JPEG image steganography based on co-frequency sub-image filtering by Jie Wang, Chunfang Yang, Ping Wang, Xiaofeng Song, Jicang Lu

“…Finally, using these methods, payload location algorithms are designed for two common JPEG image steganography algorithms: JSteg and F5. …”
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Wavelets, approximation, and comperssion by Sarkout Abdi, Aram Azizi, Mahmoud Shafiei, Jamshid Saeidian

“…In particular, approximation results are reviewed, and the implication on compression algorithms is discussed. New constructions and open problems are also addressed. …”
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