On the Security of Optical Ciphers Under the Architecture of Compressed Sensing Combining With Double Random Phase Encoding by Junxin Chen, Yushu Zhang, Leo Yu Zhang

“…The proved restricted isometry property of the equivalent measurement matrices further renders the adversary great convenience to recover the plaintext with only a single-step <inline-formula> <tex-math notation="LaTeX">${\ell _1}$</tex-math></inline-formula> optimization. Computer simulations are also carried out for verification.…”
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Efficient Computation of Collatz Sequence Stopping Times: A Novel Algorithmic Approach by Eyob Solomon Getachew, Beakal Gizachew Assefa

“…By leveraging structural patterns in the Collatz tree, the proposed algorithm minimizes redundant operations and optimizes computational steps. Unlike prior methods, it efficiently handles extremely large numbers without requiring advanced techniques such as memoization or parallelization. …”
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ON PARAMETERIZED COMPLEXITY OF HITTING SET PROBLEM FOR AXIS–PARALLEL SQUARES INTERSECTING A STRAIGHT LINE by Daniel M. Khachay, Michael Yu. Khachay

“…The Hitting Set Problem (HSP) is the well known extremal problem adopting research interest in the fields of combinatorial optimization, computational geometry, and statistical learning theory for decades. …”
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Evaluating GPT models for clinical note de-identification by Bayan Altalla’, Sameera Abdalla, Ahmad Altamimi, Layla Bitar, Amal Al Omari, Ramiz Kardan, Iyad Sultan

“…This study evaluates the capabilities of GPT-3.5 and GPT-4 models in de-identifying clinical notes and generating synthetic data, using API access and zero-shot prompt engineering to optimize computational efficiency. Results show that GPT-4 significantly outperformed GPT-3.5, achieving a precision of 0.9925, a recall of 0.8318, an F1 score of 0.8973, and an accuracy of 0.9911. …”
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Probabilistic computing with percolating nanoparticle networks using experimental data with signatures of criticality by Sofie J Studholme, Joshua B Mallinson, Jamie K Steel, Simon A Brown

“…In particular, electrical spiking in PNNs meets criteria for criticality, which is thought to be the operating point for biological brains and associated with optimal computation. Previous work showed through simulations that spiking PNNs can be used as the core stochastic component in a probabilistic computing scheme. …”
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ESTIMATION OF MAXIMUM LIKELIHOOD WEIGHTED LOGISTIC REGRESSION USING GENETIC ALGORITHM (CASE STUDY: INDIVIDUAL WORK STATUS IN MALANG CITY) by Dahlia Gladiola Rurina Menufandu, Rahma Fitriani, Eni Sumarminingsih

“…The Genetic algorithm is an optimization computational algorithm that is used to optimize the estimation of model parameters. …”
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Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection by Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Andriy Ivasechko, Mykola Telka, Oleg Illiashenko

“…The proposed approach optimizes computational resources by extracting the most informative video frames, improving detection accuracy. …”
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Computational Investigation: CFD guide for the Evaporation process in Heat Pipe by Далал Ахмед, Раїд Махмуд

“…ANSYS Fluent is employed to create the 2D heat pipe shape and produce an optimal computational mesh. A k-ɛ turbulence model is utilized to characterize fluid flow behavior, and nanorefrigerant (Al2O3/R11) is designated as the working fluid. …”
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Advances in Computational Fluid Dynamics of Mechanical Processes in Food Engineering: Mixing, Extrusion, Drying, and Process Optimization by Arkadiusz Szpicer, Weronika Bińkowska, Adrian Stelmasiak, Iwona Wojtasik-Kalinowska, Anna Czajkowska, Sylwia Mierzejewska, Zdzisław Domiszewski, Tomasz Rydzkowski, Joanna Piepiórka-Stepuk, Andrzej Półtorak

“…The increasing complexity of food materials—due to non-Newtonian properties, multiphase structures, and thermal–mechanical interactions—requires advanced modeling approaches for process analysis and optimization. Computational Fluid Dynamics (CFD) has become a vital tool in this context. …”
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Verifiable secure image retrieval for cloud-assisted IoT environments by GUO Jiaqi, MA Zhi, WANG Wensheng, TIAN Cong, DUAN Zhenhua

“…The proposed scheme improves image retrieval accuracy and security while optimizing computational and storage resources, making it suitable for cloud-assisted IoT environments.…”
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MixRformer: Dual-Branch Network for Underwater Image Enhancement in Wavelet Domain by Jie Li, Lei Zhao, Heng Li, Xiaojun Xue, Hui Liu

“…Experiments show that the model outperforms mainstream methods in color restoration and detail enhancement, while optimizing computational efficiency.…”
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An Auction-Based Bid Prediction Mechanism for Fog-Cloud Offloading Using Q-Learning by Reza Besharati, Mohammad Hossein Rezvani, Mohammad Mehdi Gilanian Sadeghi

“…The method presented in this paper is based on the auction theory, which has been used in recent studies to optimize computation offloading. We propose a bid prediction mechanism using Q-learning. …”
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A Proposed Stochastic Finite Difference Approach Based on Homogenous Chaos Expansion by O. H. Galal

“…In both of these examples, the probability distribution function of the response manifested close conformity to the results obtained from Monte Carlo simulation with optimized computational cost.…”
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ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing. by Sergey G Aleksin, Kaiyu Zheng, Dmitri A Rusakov, Leonid P Savtchenko

“…The interface can control, through the internet, an optimized computational kernel installed on a remote computer cluster. …”
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A survey of sensors based autonomous unmanned aerial vehicle (UAV) localization techniques by Haiqiao Liu, Qing Long, Bing Yi, Wen Jiang

“…For pure vision-based localization, the survey emphasizes key technologies for feature descriptor generation, advancements in similarity measurement criteria, and optimized computational strategies. The impact of these technologies on improving computational efficiency and localization accuracy. …”
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3D modeling of transport properties on the surface of a textronic structure produced using a physical vapor deposition process by Mączka Mariusz, Korzeniewska Ewa, Lebioda Marcin, Pawłowski Stanisław

“…Such an approach is rarely used due to the difficulty of obtaining accurate solutions with optimal computational cost. The developed algorithm ensures good convergence of solutions (δk ≈ 5%) with acceptable computational time (t ≈ 180 s for 17 × 103 iterations). …”
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High-robustness integrated adversarial training method for fingerprint-based indoor localization systems by ZHANG Xuejun, LI Mei, CHEN Hui, WANG Guohua

“…These findings verify that EDEAD optimizes computational efficiency while maintaining high robustness.…”
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Differential Evolution in Problems Optimal Parameters Search for Population-Migration Models by Olga Druzhinina, Olga Masina, Irina Vasilyeva

“…The obtained results can be used in solving problems of global parametric optimization, computer modeling of multidimensional ecological systems, as well as problems of predicting behavior in chemical kinetics systems, and in describing demographic processes.…”
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Long-context inference optimization for large language models: a survey by TAO Wei, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…Subsequently, a taxonomy was proposed, categorizing optimization techniques into model optimization, computation optimization, and system optimization, with detailed introductions to key technologies such as quantization, sparse attention, and operator fusion. …”
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On Partition Dimension of Generalized Convex Polytopes by Syed Waqas Shah, Muhammad Yasin Khan, Gohar Ali, Irfan Nurhidayat, Soubhagya Kumar Sahoo, Homan Emadifar

“…There are numerous applications of partition dimension in different fields such as optimization, computer, mastermind games, and networking and also in modeling of numerical structure. …”
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