A Scheduling Problem in the Baking Industry by Felipe Augusto Moreira da Silva, Antonio Carlos Moretti, Anibal Tavares de Azevedo

“…And it also provides an analysis of the algorithms runtime.…”
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Indoor localization using augmented ultra-high-frequency radio frequency identification system for Internet of Things by Jing Wang, Miodrag Bolić

“…The performance of localization algorithm is demonstrated by extensive computer simulations.…”
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Comment on “Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling” by Jasper A. Vrugt

“…Their results show all signs of a flawed implementation of the Metropolis algorithm. In this comment I will point out the many mistakes and shortcomings of the BMA methodology of HM23. …”
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Optimal High-Speed Railway Timetable by Stop Schedule Adjustment for Energy-Saving by Dingjun Chen, Sihan Li, Junjie Li, Shaoquan Ni, Xiaolong Liu

“…The fuzzy mathematics programming method is used to design an efficient algorithm. The proposed model and algorithm are demonstrated in the actual operation data of Beijing-Shanghai high-speed railway. …”
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Image Robust Watermarking Method Based on DWT-SVD Transform and Chaotic Map by Weishuai Wu, Yujiao Dong, Guangyi Wang

“…The existing watermarking algorithms make it difficult to balance the invisibility and robustness of the watermark. …”
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Measuring the Phase of an Optical Field from Two Intensity Measurements: Analysis of a Simple Theoretical Model by Damien P. Kelly

“…Then, a deterministic but iterative algorithm is derived and we examine the characteristics and properties of this algorithm. …”
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Transceiver coexistence design of MIMO radar and MIMO communication under Gaussian model uncertainty by Xin He, Lei Huang

“…Safe approximations are proposed for the probabilistic constraints, and a converged iterative algorithm is proposed for the joint transceiver design. …”
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Channel and delay estimation for base-station-based cooperative communications in frequency-selective fading channels by Hongjun Xu, Laneil Padayachee

“…This paper extends the algorithm, the maximum likelihood estimator, to work in frequency-selective fading channels. …”
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Green cover change detection using a modified adaptive ensemble of extreme learning machines for North-Western India by Madhu Khurana, Vikas Saxena

“…The algorithm shows an average accuracy of 97.8% on both the datasets.…”
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ILS Heuristics for the Single-Machine Scheduling Problem with Sequence-Dependent Family Setup Times to Minimize Total Tardiness by Vinícius Vilar Jacob, José Elias C. Arroyo

“…The computational experiments show that the ILS heuristics outperform a genetic algorithm proposed in the literature. The ILS heuristic with dynamic perturbation size and PR intensification has a superior performance compared to other heuristics.…”
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Modeling and Analysis of Dispersive Propagation of Structural Waves for Vibro-Localization by Murat Ambarkutuk, Paul E. Plassmann

“…Results for the proposed algorithm demonstrates a significant improvement in localization accuracy compared to benchmark algorithms. …”
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Superposition Attacks on Pseudorandom Schemes Based on Two or Less Permutations by Shaoxuan Zhang, Chun Guo, Qingju Wang

“…We also exhibit subclasses of “degenerated” TPPR schemes that lack certain internal operations and exhibit more efficient key recovery attacks using either the Simon’s algorithm or collision searching algorithm. Further, using the all-subkeys-recovery idea of Isobe and Shibutani, our results give rise to key recovery attacks against several recently proposed permutation-based PRFs, as well as the two-round Even–Mansour ciphers with generic key schedule functions and their tweakable variants. …”
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Web application firewall based on machine learning models by Muhammed Ersin Durmuşkaya, Selim Bayraklı

“…Decision tree was identified as the algorithm with the highest precision, accuracy, recall, F1-score, receiver operating characteristic (ROC), and area under the curve (AUC) values. …”
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Shortest path planning and dynamic rescue forces dispatching for urban flood disasters by Jun Liang, Mingyu Liu, Zongjia Zhang, Lili Yang

“…A preference-based version of the algorithm is also introduced, incorporating driver preferences into path selection. …”
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Revealing nanostructures in high-entropy alloys via machine-learning accelerated scalable Monte Carlo simulation by Xianglin Liu, Kai Yang, Yongxiang Liu, Fanli Zhou, Dengdong Fan, Zongrui Pei, Pengxiang Xu, Yonghong Tian

“…Abstract First-principles Monte Carlo (MC) simulations at finite temperatures are computationally prohibitive for large systems due to the high cost of quantum calculations and poor parallelizability of sequential Markov chains in MC algorithms. We introduce scalable Monte Carlo at eXtreme (SMC-X), a generalized checkerboard algorithm designed to accelerate MC simulation with arbitrary short-range interactions, including machine learning potentials, on modern accelerator hardware. …”
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Artificial intelligence to evaluate diagnosed COVID-19 chest radiographs by Bruno Takara, Felipe Freitas, Alexandre Bacelar, Rochelle Lykawka, Mirko Salomon Alva Sanchez

“…We present a Machine Learning algorithm based on Python which can be used to aid COVID-19 diagnosis. …”
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New Approach for Unambiguous High-Resolution Wide-Swath SAR Imaging by Yueguan Lin, Yida Fan, Hai Jiang, Wei Wang

“…The data after range compression of multiple elevation apertures are used to estimate direction of arrival (DOA) of targets via CS, and the adaptive digital beamforming in elevation is achieved accordingly, which avoids the pattern loss of scan-on-receive (SCORE) algorithm when topographic height exists. The effective phase centers of the system are nonuniformly distributed when displaced phase center antenna (DPCA) technology is adopted, which causes Doppler ambiguities under traditional SAR imaging algorithms. …”
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Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization by Chi Zeng, Jialing Li, Abbas Habibi

“…This study introduces an innovative approach that merges deep learning with metaheuristic algorithms to boost the efficiency of SER systems. Specifically, a stacked autoencoder (SAE) serves as the primary model, and its performance is fine-tuned using a nature-inspired hybrid algorithm that combines particle swarm optimization (PSO) with Grass Fibrous Root Optimization (GFRO). …”
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Handheld Ground-Penetrating Radar Antenna Position Estimation Using Factor Graphs by Paweł Słowak, Tomasz Kraszewski, Piotr Kaniewski

“…Building on that foundation, we present a factor-graph-based estimation algorithm to further enhance the accuracy of HH-GPR antenna trajectory estimation. …”
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Prospects of phytopreparations based on Calendula officinalis in complex treatment of chemical burn of the esophagus by M. L. Voskresenskaya, A. N. Plekhanov, B. D. Dorzhiev, S. V. Tsyrempilov

“…The lack of standardized approach in treatment of local changes in chemical burns of the esophagus, severe and unsatisfactory results of using medication algorithms inspire a search for alternative methods of treatment and drug development. …”
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