PAPR optimization based on SLM and PTS algorithms in NC-OFDM systems by Jie ZHOU, Bernardo Esono Esono Mikue, Xueying WANG, Huiting ZHOU, Hong LUO

“…Based on the non-continuous orthogonal frequency division multiplexing (NC-OFDM) model, a fusion optimization technology based on selected mapping (SLM) algorithm and partial transmit sequence (PTS) algorithm was proposed, and a system model of fusion technology was designed.Through simulation comparison with other literature methods, it was verified that the SLM-PTS fusion technology had excellent peak to average power ratio (PAPR) reduction ability, but the algorithm implementation complexity was too high.Therefore, a complementary SLM-Clipping fusion solution was proposed, and the deep learning method PAPRnet model was construted.The simulation results verif that prove the effectiveness of the method, the algorithm has an excellent PAPR suppressed effect on the NC-OFDM system, and greatly improves the computational efficiency.…”
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Validation of Material Algorithms for Femur Remodelling Using Medical Image Data by Shitong Luo, Xingquan Shen, Xin Bai, Jing Bai, Jianning Han, Yu Shang

“…Moreover, the simulated L-T ratios (the ratio of longitude modulus to transverse modulus) by the orthotropic algorithm were close to the reported results. This study suggests a role for “error-driven” algorithm in bone material prediction in abnormal mechanical environment and holds promise for optimizing implant design as well as developing countermeasures against bone loss due to weightlessness. …”
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Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms by M. B. Amri, M. B. Amri, D. Yedjour, M. E. A. Larabi, F. Berrichi

“…In addition, the experiments conducted on simulated benchmarks validate the superior performance of the proposed approach compared to the baseline ML model in terms of prediction accuracy and F1-score.…”
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Advanced Methodology for Fraud Detection in Energy Using Machine Learning Algorithms by Silviu Gresoi, Grigore Stamatescu, Ioana Făgărășan

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Allocation algorithms for multicore partitioned mixed-criticality real-time systems by Luis Ortiz, Ana Guasque, Patricia Balbastre, José Simó

“…This is achieved through the implementation of a Mixed-Integer Linear Programming (MILP) algorithm. The second phase involves the allocation of tasks to cores, employing both, an additional MILP algorithm and a modified worst fit decrease utilisation approach. …”
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Analysis of Algorithms for AI Virtual Player in the Production Management Training Platform by Gąbka Joanna, Przybyś Krzysztof

“…The article presents research focused on design, testing and evaluation of the Artificial Intelligence (AI) algorithms dedicated for Virtual Player (VP/bot) embedded in the Production Management Training Platform (TP). …”
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Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification by Surajudeen Shina Ajibosin, Deniz Cetinkaya

“…In this work, we studied the use of Quantum Machine Learning (QML) algorithms for binary classification and compared their performance with classical Machine Learning (ML) methods. …”
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A Novel Traffic Scheduling Algorithm for Multi-CQF Using Mixed Integer Programming and Variable Neighborhood Search Genetic Algorithm in Time-Sensitive Networking by Cheng Wang, Zhiquan Lin, Yuhao Zhao, Fen Hu, Zhan Huan

“…In its original form, Multi-CQF-based scheduling algorithms do not account for flow sorting, leading to increased transmission delays and reduced network efficiency as a network dynamically changes. …”
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Greedy Graph Coloring and Hungarian Algorithms for Resource Scheduling in TWDM-PON by Sandra Arnaout, Md Arifur Rahman, Md Munjure Mowla, Slawomir Hausman, Piotr Korbel

“…Numerical simulations show that the proposed GGCA and HA provide approximately 70- 80% delay reduction compared to a fixed baseline algorithm that schedules the timeslots and the wavelength in a fixed manner.…”
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Optimization of data allocation in hierarchical memory for blocked shortest paths algorithms by A. A. Prihozhy

“…This paper is devoted to the reduction of data transfer between the main memory and direct mapped cache for blocked shortest paths algorithms (BSPA), which represent data by a D[M×M] matrix of blocks. …”
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Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading by Jinghui Wu, Wenjun Zhu, Yun Xu, Kangan Shu, Wei Yang

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Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

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The impact of algorithm awareness training on competent interaction with intelligent voice assistants by André Markus, Maximilian Baumann, Jan Pfister, Andreas Hotho, Astrid Carolus, Carolin Wienrich

“…The modules offer a new approach to promoting the competent use of IVAs in society and provide a starting point for further research and educational institutions to increase algorithm awareness for IVAs and other AI-based systems.…”
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Prediction and Impact Analysis of Soil Nitrogen and Salinity Under Reclaimed Water Irrigation: A Case Study by Zeyu Liu, Kai Fang, Xiaoqin Sun, Yandong Wang, Zhuo Tian, Jing Liu, Liying Bai, Qilin He

“…The models achieved high predictive accuracy, with NSE values of 0.918, 0.946, 0.936, 0.967, and 0.887 for NO₃⁻-N, NH₄⁺-N, TN, EC, and Cl⁻, respectively, demonstrating their robustness. …”
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Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge by Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross

“…The resulting online learning problem turns out to be a Prediction with Expert Advice (PEA) problem with continuous expert space. …”
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Strong Convergence Algorithms for Hierarchical Fixed Points Problems and Variational Inequalities by Gendai Gu, Shenghua Wang, Yeol Je Cho

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Selection of methods and tools of voltage unbalance reduction within the Eastern part of Siberian integrated power system by V. V. Dikovich, E. M. Katz, O. S. Stremilova

“…The article includes the analysis of various technical tools for voltage unbalance reduction within the Eastern part of IPS of Siberia and describes control algorithms for them. …”
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Research on Temperature Control Method of Rice Noodles Extruder Based on APSO-MPC by Mengyao Zhang, Yunren Yang, Guohua Gao, Zhenlong Li, Yakai He, Peigang Li, Huangzhen Lv

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Comparing variable neighbourhood search algorithms for the direct aperture optimisation in radiotherapy by Mauricio Moyano, Keiny Meza-Vasquez, Gonzalo Tello-Valenzuela, Nicolle Ojeda-Ortega, Carolina Lagos, Guillermo Cabrera-Guerrero

“…We apply our proposed algorithms to prostate cancer cases, achieving highly competitive results for both algorithms. …”
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SINGULAR VALUE VERSUS EIGENVALUE DECOMPOSITION EFFICIENCY IN COMPUTING PRINCIPAL COMPONENTS FOR DIMENSIONALITY REDUCTION OF LARGE DATASETS by Vadim Romanuke

“… Principal component analysis, being one of the best techniques for dimensionality reduction, is implemented by using one of the two high-accuracy algorithms: the singular value decomposition (SVD) and eigenvalue decomposition (EVD). …”
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