A Job-Shop Scheduling Problem with Bidirectional Circular Precedence Constraints by Pisut Pongchairerks

“…To solve BCJSP, this paper proposes a multilevel metaheuristic consisting of top-, middle-, and bottom-level algorithms. The top- and middle-level algorithms are population-based metaheuristics, while the bottom-level algorithm is a local search algorithm. …”
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Zero-shot classification with multi-model information interaction and its application in Mars exploration scenarios by TAN Xiaomeng, XI Bobo, XUE Changbin, LI Yunsong

“…For algorithm research, a zero-shot scene classification algorithm based on multi-modal feature interaction was proposed. …”
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Three-Stage Bidding Strategy of Generation Company Based on Double Deep Q-Network under Incomplete Information Condition by Pengpeng YANG, Beibei WANG, Peng XU, Gaoqin WANG, Yaxian ZHENG

“…Finally, a PJM 5-bus test case is used to compare the rewards obtained by DDQN and traditional Q-learning algorithm. The results shows that the DDQN algorithm can make appropriate decisions according to the complex state while the Q-learning algorithm has poor performance. …”
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Optimizing the learning rate for adaptive estimation of neural encoding models. by Han-Lin Hsieh, Maryam M Shanechi

“…Using these functions, our calibration algorithm can keep the steady-state parameter error covariance smaller than a desired upper-bound while minimizing the convergence time, or keep the convergence time faster than a desired value while minimizing the error. …”
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3D Voxel-based Collaborative Path Planning for UAVs in Urban Emergency Response by Z. Wu, Z. Wang, W. Xie, Z. Lin, Y. Wu, Y. Mo

“…The experimental results verify the validity of this framework, compared to the conventional A* algorithm, the algorithm put forward in this study decreases the total route length by 23.80%, while also improving path smoothness. …”
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Neutron Spectrum Unfolding Method Based on Compressed Sensing Theory by WU Guanghao1, SHAO Gang2, SHI Guang3, LIU Bin4, 5, PAN Liangming4, 5, WANG Feng4, 5, ZHOU Xiaowei4, 5

“…The proposed method includes two processes, such as the sparse representation process and the sparse reconstruction process. Two kinds of algorithms, the K-SVD algorithm and the online dictionary learning algorithm, were applied for sparse representation. …”

Assigning Priorities for Fixed Priority Preemption Threshold Scheduling by Saehwa Kim

“…This paper analyzes the inefficiency or nonoptimality of the previously proposed optimal priority assignment algorithms for PTS. We develop theorems for exhaustively but safely pruning infeasible priority orderings while assigning priorities to tasks for PTS. …”
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Design of a discrete сosine transformation processor for image compression systems on a losless-to-lossy circuit by V. V. Kliuchenia

“…Direct  and  inverse  transformation should be carried out according to the “whole-to-whole” processing scheme with preservation of the perfective reconstruction  of  the  original  image  (the  coefficients  are  represented  by  integer  or  binary  rational  numbers; the number of multiplication operations is minimal, if possible, they are excluded from the algorithm). …”
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Precision Dosing in Presence of Multiobjective Therapies by Integrating Reinforcement Learning and PK‐PD Models: Application to Givinostat Treatment of Polycythemia Vera by Alessandro De Carlo, Elena Maria Tosca, Paolo Magni

“…The therapeutic goal is to simultaneously normalize the levels of these efficacy/safety biomarkers, thus inducing a complete hematological response (CHR). An RL algorithm, Q‐Learning (QL), was integrated with a PK‐PD model describing the givinostat effect on PLT, WBC, and HCT to derive both an adaptive dosing protocol (QLpop‐agent) for the whole population and personalized dosing strategies by coupling a specific QL‐agent to each patient (QLind‐agents). …”
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Cross-field strength and multi-vendor reliability of MagDensity for MRI-based quantitative breast density analysis. by Jia Ying, Renee Cattell, Chuan Huang

“…BD was assessed using the MagDensity technique, which included combining magnitude and phase images, applying a fat-water separation technique, employing an automated whole-breast segmentation algorithm, and quantifying the volumetric water fraction. …”
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Generation of super-resolution gap-free ocean colour satellite products using data-interpolating empirical orthogonal functions (DINEOF) by A. Alvera-Azcárate, D. Van der Zande, A. Barth, A. Dille, J. Massant, J.-M. Beckers

“…In order to achieve this, the Sentinel-2 and Sentinel-3 datasets have undergone the same pre-processing, including a comprehensive, region-independent, and pixel-based automatic switching scheme for choosing the most appropriate atmospheric correction and ocean colour algorithm to derive in-water products. The super-resolution DINEOF has been applied to two different variables (turbidity and chlorophyll) and two different domains (Belgian coastal zone and the whole of the North Sea), and the sub-mesoscale variability of the turbidity along the Belgian coastal zone has been studied.…”
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Ethnic tourism: the problem of conceptual terminology and methodical approaches to social-geographic studies by Yaroslav Dzhaman

“…The algorithm of socio-geographic study of ethnic tourism potential within a big poly-ethnic urban settlement contains five stages: 1) the study of historical and geographic specificities of formation of regional (settlement) population’s ethnic structure on the whole, and specific ethnic group in particular; 2) establishment of the dynamics of the level of population’s ethnic variety; 3) the study of the ma­terial and spiritual cultural heritage of ethnic communities; 4) point evaluation of ethnic tourism objects; 5) development of ethnic-oriented excursion routes.  …”
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The Coronal Plasma Density Structure over a Solar Cycle: A Comparison of Tomography and Magnetohydrodynamic Simulations by Liam T. Edwards, Huw Morgan, Pete Riley, Jon A. Linker

“…This study compares densities from tomography with the Magnetohydrodynamic Algorithm outside a Sphere (MAS) model across the whole corona over a solar cycle from 2007 to late 2023. …”
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Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

“…With the advancement of computer technologies, various data models and algorithms have been integrated into industrial processes, significantly improving the efficiency of anomaly detection in datasets while reducing time and energy consumption. …”
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Parallel Tracking and Mapping for Controlling VTOL Airframe by Michal Jama, Dale Schinstock

“…The main contributions of this work include: (1) extension of the map building algorithm to enable it to be used realistically while controlling a UAV and simultaneously building the map; (2) improved performance of the SLAM algorithm for lower camera frame rates; and (3) the first known demonstration of a monocular SLAM algorithm successfully controlling a UAV while simultaneously building the map. …”
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Design of an Extended Interacting Multiple Models Adaptive Estimator for Attitude Determination of a Stereoimagery Satellite by Hossein Bolandi, Farhad Fani Saberi, Amir Mehrjardi Eslami

“…In this method, the motion of satellite during stereoimaging manoeuvres is partitioned into two different modes: “manoeuvring motion” mode and “uniform motion” mode. The proposed algorithm will select the suitable Kalman filter structure to estimate gyro errors accurately in order to maintain the peak attitude estimation error less enough at the beginning of manoeuvres while the satellite is in “manoeuvring motion” mode and then will select the suitable star sensor measurement noise level at the end of manoeuvres while the satellite is in “uniform motion” mode to reduce attitude estimation errors. …”
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Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System by Chengzhen JIA, Lingmei WANG, Enlong MENG, Derong YANG, Dongjie GUO, Yushan LIU

“…In order to realize the optimal capacity allocation and day-ahead scheduling in wind-solar-hydrogen coupled generation system, the NSGA-II intelligent optimization algorithm is used to solve the multi-objective optimization problem of capacity allocation, and the optimal dispatching algorithm considering hydrogen transportation constraint is constructed on power generation side. …”
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A Practical Approach for Optimal Power Distribution Among the West-to-East Power Transmission Channels with Minimized Losses by Gaihong CHENG, Qingchun ZHU, Jing YAN

“…Based on the line search strategy including advance and retreat algorithm and golden section algorithm, the optimal power distribution among transmission channels is thus determined through a small number of iterations. …”
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Weak Connection Regulation Technology for Source-Storage-Load Collaborative Microgrids Based on Direct Power Control by Peng REN, Zhigang ZHAO, Hongchao GAO, Wu WEN, Yingyi JIANG

“…The paper also studied the regional DC power supply and flexible regulation technology, analyzed the flexible characteristics of air conditioners, energy storage, photovoltaic, etc., and verified the power direct-control flexible regulation algorithm and evaluation indexes. From the effect of testing and verification, the whole system enables real-time response and rapid adjustment, thus improving the energy utilization efficiency, reducing the grid-side quota and realizing the local consumption of PV.…”
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Enhancing Resilience and Efficiency in Power System: A Five-Level Dynamic Planning Model by Mahnaz Rezaei, Mohammad Tolou Askari, Meysam Amirahmadi, Vahid Ghods

“…The first level optimizes energy hub according to the differential evolutionary algorithm, but the next four levels employ a robust symphony orchestra search algorithm. …”
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