MAARS: Multiagent Actor–Critic Approach for Resource Allocation and Network Slicing in Multiaccess Edge Computing by Ducsun Lim, Inwhee Joe

“…This paper presents a novel algorithm to address resource allocation and network-slicing challenges in multiaccess edge computing (MEC) networks. …”
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RILS: RFID indoor localization system using mobile readers by Jinkai Liu, Yanqing Qiu, Kezhao Yin, Wentong Dong, Jiaqing Luo

“…We then propose a continuous scanning algorithm to improve the accuracy for locating a single tagged object and a category-based scheduling algorithm to shorten the time for locating multiple tagged objects. …”
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Multiscale Sample Entropy-Based Feature Extraction with Gaussian Mixture Model for Detection and Classification of Blue Whale Vocalization by Oluwaseyi Paul Babalola, Olayinka Olaolu Ogundile, Vipin Balyan

“…A multiscale sample entropy (MSE) algorithm is presented as a time domain feature extraction method to study the vocal behavior of blue whales through continuous acoustic monitoring. …”
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MSFragger-DDA+ enhances peptide identification sensitivity with full isolation window search by Fengchao Yu, Yamei Deng, Alexey I. Nesvizhskii

“…Here, we introduce MSFragger-DDA+, a database search algorithm that enhances peptide identification by detecting co-fragmented peptides with high sensitivity and speed. …”
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Reduced-Complexity MIMO Faster-Than-Nyquist Signaling Transceiver for OTFS Modulation by Zekun Hong, Shinya Sugiura

“…By utilizing the channel’s circulant approximation, we exploit fast Fourier transform (FFT)-aided diagonalization and linear minimum mean square error (LMMSE) algorithm with a log-linear complexity. The proposed scheme achieves the same bit error rate (BER) performance as the conventional LMMSE detector while attaining a significantly lower complexity. …”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…In addition, this paper also adopts the amplitude-based layer adaptive sparse pruning algorithm (LAMP) to further compress the model size while maintaining efficient detection performance. …”
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Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization by Seoyoon Kwon, Minsoo Ji, Min Kim, Juliana Y. Leung, Baehyun Min

“…This complex multi-million-dollar problem involves optimizing multiple parameters using computationally intensive reservoir simulations, often employing advanced algorithms such as optimization algorithms and machine/deep learning techniques to find near-optimal solutions efficiently while accounting for uncertainties and risks. …”
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Adaptive Fast Refocusing for Ship Targets With Complex Motion in SAR Images by Xinqi Xu, Xiangguang Leng, Zhongzhen Sun, Xiangdong Tan, Kefeng Ji, Gangyao Kuang

“…This article introduces an adaptive fast refocusing algorithm (AFRA) designed to refocus defocused ships. …”
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An Advection Scheme using Paired Explicit Runge-Kutta Time Integration for Atmospheric Modeling by Zhaoyang SUN, Chungang CHEN, Xingliang LI, Xueshun SHEN

“…In this paper， a new numerical scheme was proposed to solve the advection equation in a multi-moment nonhydrostatic dynamical core.To guarantee the shape-preserving property， the limiting operations are devised for a hybrid discretization framework adopted by the multi-moment dynamical core， consisting of the multi-moment finite-volume and the conservative finite-difference schemes for the horizontal and vertical discretizations respectively.In the horizontal direction， a nonoscillaory scheme is accomplished by adjusting the slope of the multi-moment reconstruction polynomial at the cell center with the application of a WENO （weighted essentially non-oscillatory） algorithm.The resulting multi-moment scheme can achieve the fourth-order accuracy in the convergence test.In the vertical direction， a TVD （total variation diminishing） slope limiter is applied in the finite-difference discretization to remove the non-physical oscillations around the discontinuities.To accomplish the time marching in the proposed advection model， a second-order paired explicit Runge-Kutta scheme is adopted， which is expected to be an efficient and practical method for the advection solvers in the atmospheric models with very high spatial resolutions.The explicit time marching， without the dimension splitting， is useful to avoid the divergence errors in the advection transport calculations.Two Runge-Kutta schemes， requiring different times of conducting the spatial discretization within a time step， are combined， and used for the time marching in the different directions.The finite-difference discretization is called for six times within a time step in order to increase the maximum available CFL （Courant-Friedrichs-Lewy） number in the vertical direction， while the horizontal multi-moment spatial discretization is conducted for two times as the regular second-order schemes.As a result， the difference between the maximum time steps determined by the horizontal and vertical discretizations， due to the very large aspect ratio of the computational cells in atmospheric modeling， can be diminished.The non-negativity property of the proposed advection scheme is assured by devising a new flux-correction algorithm.It improves the existing positivity-preserving algorithm through further considering the mass flowing into the computational cell in an iterative procedure during the flux-correction operations.The proposed flux-correction algorithm can approach the necessary and sufficient condition for assuring the non-negative solutions and is more accurate for the advection calculations with CFL numbers larger than one.The widely used two-dimensional benchmark tests were checked in this study and the numerical results verified the performance the proposed advection scheme， which has the practical potential to build an accurate and efficient advection equation solver for the scalable high-resolution nonhydrostatic atmospheric models.…”
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PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor by Erdal Büyükbıçakcı

“…In this configuration, the primary microcontroller governs the five-phase power circuit, while the secondary microcontroller executes the PI algorithm in response to the speed signal from the optical rotor position sensors and autonomously modifies the source voltage. …”
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Computationally Efficient Single Layer Transformer Convolutional Encoder for Accurate Price Prediction of Agriculture Commodities by Caceja Elyca Anak Bundak, Mohd Amiruddin Abd Rahman, Nurin Syazwina Mohd Haniff, Nur Syaiful Afrizal, Khairul Adib Yusof, Muhammad Khalis Abdul Karim, Md Shuhazlly Mamat, Romi Fadillah Rahmat

“…Predictions made with Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) show that the STCE algorithm is better than other deep learning algorithms, even the traditional transformer encoder. …”
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COORDINATE CALCULATION OF VEHICLE WHEEL GEOMETRICAL CENTER by A. K. Grishchuk, A. V. Shcherbina

“…The paper describes a necessity to take into account toe-in angles while making calculations of suspension kinematics. …”
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Total Variation Wavelet-Based Medical Image Denoising by Yang Wang, Haomin Zhou

“…We propose a denoising algorithm for medical images based on a combination of the total variation minimization scheme and the wavelet scheme. …”
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Formation of Temperature Mode in Internal Spaces of Armored Machinery by P. I. Dziachek, A. S. Mezentsev

“…An algorithm and a program  have been developed for calculation of temperature mode in a T-72 tank tower while using numerical methods. …”
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FORECASTING OF PARAMETRIC RELIABILITY OF HYDRAULIC STEERING BOOSTER OF MOBILE MACHINE by G. A. Mrochek, V. P. Tarasik, T. V. Mrochek

“…An algorithm for forecasting parametric reliability of  hydraulic steering booster during its operation has been developed in the paper. …”
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Editing Digests for Social Networks by Evgeniya Yu. Poselenova, Darya D. Shapolova

“…Internet digests provide an opportunity to systematize online publications and structure relevant information while focusing on the main facts and ideas. The paper describes the algorithm, editing, and design of Internet digests in social media. …”

YOLO-SD: A Real-Time Crew Safety Detection and Early Warning Approach by Xinwei Lin, Shengzheng Wang, Zhen Sun, Min Zhang

“…Wearing safety rope while working at the loft and over the side of a ship is an effective means to protect seafarers from accidents. …”
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Borromean supercounterfluids at finite temperatures by Alexandru Golic, Igor Timoshuk, Egor Babaev, Boris Svistunov

“…While the properties of standard (single-component) superfluids are well understood, principal differences arise in a special type of multicomponent systems—the so-called Borromean supercounterfluids—in which (i) supertransport is possible only in the counterflow regime and (ii) there are three or more counterflowing components. …”
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Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data by Maximilian Malek, Christoph W. Sensen

“…Our framework enables real-time, intuition-guided accelerated algorithm and method development, supported by built-in scriptable visualization. …”
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Scaffolding decision spaces in decision support systems: Using plagiarism screening software in editorial offices by Felicitas Hesselmann

“…This paper explores the dynamics of algorithmic governance, decision support systems and human involvement in the context of plagiarism screening in academic publishing. …”
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