A genetic algorithm based method of optimizing dispersion matrix for RDSM system by Peng ZHANG, Xiaoping JIN, Dongxiao CHEN

“…Rectangular differential spatial modulation (RDSM) is a multi-antenna incoherent modulation technology with high spectral efficiency, low power consumption, and zero-overhead for channel estimation.RDSM is especially suitable for 6G communication systems, such as fast-moving Internet of vehicles, Internet of things, cellular networks, etc.However, the construction of the sparse rectangular unitary space-time dispersion matrix (DM) at transmitter is a problem.The proposed Genetic algorithm (GA) will result in less computational complexity than the currently used random research.The fitness of GA was calculated by the rank and determinant criterion (RDC) method to avoid discussions in differential system.Due to characteristics of constellation symbols of RDSM, the proposed method reduced the computational complexity during each single iteration in GA.The simulation results show that the optimized DMS can significantly improve the bit error rate (BER) performance of the RDSM system.Compared with random search, the low-complexity GA effectively improves the DMS optimization efficiency of RDSM.The computational complexity required for optimizing DMS is about 0.1% of random search optimization method.…”
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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

“…Convolutional neural networks (CNNs), initially proposed for computer vision tasks, are examples of models applied to sensor data. …”
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Damage and failure modeling of lotus-type porous material subjected to low-cycle fatigue by J. Kramberger, K. Sterkuš, S. Glodež

“…This paper evaluates a numerical approach for determining of damage initiation and evolution of lotus-type porous material with computational simulations, where the considered computational models have different pore topology patterns. …”
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Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO by Xingjian LI, Zhiqun SONG, Yong LI, Lizhe LIU, Bin WANG, Chang WANG

“…In order to overcome the drawback of conventional diversity technologies that sacrificing valuable communication resources such as data rate or bandwidth in massive multiple input multiple output (MIMO) systems, a double-component combined generalized weighted fractional Fourier transform (DCGWFRFT) based waveform design method was proposed.The concept of computational diversity was introduced, and the diversity performance was improved via moderate computational resources without requiring channel state information at the transmitter.The principle of computational diversity of DCGWFRFT based waveform was firstly analyzed, and a DCGWFRFT based waveform design and transform process, which could be adopted combined with existing diversity methods, was then proposed according to the principle.Theoretical analysis proves that the proposed waveform design and transform process can perfectly recover the original transmitted signal in noise-free case, and the power of error of proposed waveform is distributed more evenly than that of untransformed waveform in noisy case.Simulation results show that the performance of DCGWFRFT based waveform has an advantage of at least 1.7 dB in bit signal-to-noise ratio compared with untransformed waveform when bit error rate is 10^-3.…”
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Lung Cancer Prediction Based on K-nearest Neighbor and Other Algorithms by Ren Yimo

“…The computer algorithms mainly used in this paper include Random forest, K-nearest neighbours, and Logistic regression. …”
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Damage and failure modeling of lotus-type porous material subjected to low-cycle fatigue by J. Kramberger, K. Sterkuš, S. Glodež

“…This paper evaluates a numerical approach for determining of damage initiation and evolution of lotus-type porous material with computational simulations, where the considered computational models have different pore topology patterns. …”
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When multiple cooperative communication: virtual real-time service theory and application by Wei Chen

“…The consumption of computation and storage resource was a cost to be paid for the gains of the energy and spectral efficiency.Hence,the multi-unit collaboration of computation （including cognition）, storage, and communications units was highly desired to minimize the cost of computation and storage resource, while maximize the energy and spectral efficiency gains. …”
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A Secure Framework for Privacy-Preserving Analytics in Healthcare Records Using Zero-Knowledge Proofs and Blockchain in Multi-Tenant Cloud Environments by S. Bharath Babu, K. R. Jothi

“…Through advanced cryptographic techniques, specifically zk-SNARKs, the framework ensures that healthcare records remain protected during analytics computations, without exposing raw data. The privacy-preserving analytics engine utilizes anonymized healthcare records and generates zk-SNARKs to validate computations. …”
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Stress Analysis of a Class II MO-Restored Tooth Using a 3D CT-Based Finite Element Model by Yiu Pong Chan, Chak Yin Tang, Bo Gao

“…A computational method has been developed for stress analysis of a restored tooth so that experimental effort can be minimized. …”
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Calculation of the Effective Delayed Neutron Fraction by Deterministic and Monte Carlo Methods by M. Carta, S. Dulla, V. Peluso, P. Ravetto, G. Bianchini

“…The studies on Accelerator-Driven Systems (ADSs) have renewed the interest in the theoretical and computational evaluation of the main integral parameters characterizing subcritical systems (e.g., reactivity, effective delayed neutron fraction βeff, and mean prompt neutron generation time). …”
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Non‐Autoregressive Translation Algorithm Based on LLM Knowledge Distillation in English Corpus by Fang Ju, Weihui Wang

“…ABSTRACT Although significant advancements have been made in the quality of machine translation by large‐scale language models, their high computational costs and resource consumption have hindered their widespread adoption in practical applications. …”
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A Lightweight Convolutional Neural Network for Real-time Detection of Aircraft Engine Blade Damage by Wenzhe Wang, Hua Su, Xinliang Liu, Jawad Munir, Jingqiu Wang

“…To address the large number of parameters and the computational complexity of deep learning models in the field of borescope detection, we propose a lightweight blade damage detection model LSSD using a knowledge distillation algorithm. …”
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CFD simulations of a hydrocyclone in absence of an air core by Delgadillo J.A., Al Kayed M., Vo D., Ramamurthy A.S.

“…Recent advance in computational methods and computer technology make CFD an efficient means to study the dynamics of many physical systems. …”
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Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction by Jaesung Lee, Dae-Won Kim

“…This results in an increased computational burden owing to the concurrent learning of multiple labels. …”
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ASSESSMENT OF THE RIVER RUNOFF CHANGES IN LENKORAN NATURE REGION by Ramiz M. Mamedov, Magamed A. Abduev

“…Runoff from the territories that had not been covered by hydrometric measurements was determined by computations by the analog rivers’ runoff or by the runoff maps. …”

A Study on the Dynamic Behaviour of Lightweight Gears by Shadi Shweiki, Antonio Palermo, Domenico Mundo

“…The angle-dependent mesh stiffness function is computed in a preparation phase through detailed Finite Element (FE) simulations and then stored in a lookup table, which is then interpolated during the dynamic simulation allowing for high computational efficiency. …”
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Cyanidin-Based Novel Organic Sensitizer for Efficient Dye-Sensitized Solar Cells: DFT/TDDFT Study by Kalpana Galappaththi, Andery Lim, Piyasiri Ekanayake, Mohammad Iskandar Petra

“…The resulting structure was then computationally simulated by using the Spartan’10 software package. …”
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Approaching the general quantification of functional information by Robert Kudelić

“…We have also made first steps of placing functional information in a computational complexity framework, which will potentially foster algorithmics around it, especially in terms of optimality or degeneracy, and possibly even in terms of work around classes of computational complexity.…”
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A Film-Cooling CFD Bibliography: 1971–1996 by D. M. Kercher

“…After more than 25 years of three-dimensional film cooling experimental investigations, analytical correlations and modeling, film cooling utilizing computational fluid dynamics has emerged from a similar development-applications growth process into a near-attainable heat transfer engineering tool. …”
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Numerical Integration of Some Arbitrary Functions over an Ellipsoid by Discretizing into Hexahedral Elements for Biomaterial Studies by T. M. Mamatha, B. Venkatesh, P. Senthil Kumar, S. Mullai Venthan, M. S. Nisha, Gayathri Rangasamy

“…The new transformations are derived to compute numerical integration over curved tetrahedral elements for all tests, and it has been observed that the integral outcomes converge to accurate values with lower computation duration.…”
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