A Model of Gamification by Combining and Motivating E-Learners and Filtering Jobs for Candidates by Sherin Eliyas, Ranjana P

“…This is also durable in the sense that any missing data about the candidate does not affect the algorithm as a whole as it is capable of making assumptions regarding the missing data based on similar data already stored in the database. …”
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Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History by Danping Wang, Kunyuan Hu, Lianbo Ma, Maowei He, Hanning Chen

“…A hybrid coevolution particle swarm optimization algorithm with dynamic multispecies strategy based on K-means clustering and nonrevisit strategy based on Binary Space Partitioning fitness tree (called MCPSO-PSH) is proposed. …”
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Developing an advanced safety device for bridge-type cranes by A. N. Nazarov, S. D. Ivanov

“…The description of these algorithms in relation to cranes equipped with frequency control system is given. …”
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Brain Tumor Identification and Classification of MRI Images Using Deep Learning Techniques by Zheshu Jia, Deyun Chen

“…The present work proposes the separation of the whole cerebral venous system into MRI imaging with the addition of a new, fully automatic algorithm based on structural, morphological, and relaxometry details. …”
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Developing a Distributed Consensus-Based Cooperative Adaptive Cruise Control System for Heterogeneous Vehicles with Predecessor Following Topology by Ziran Wang, Guoyuan Wu, Matthew J. Barth

“…In this study, we propose a novel CACC system, where distributed consensus algorithm and protocol are designed for platoon formation, merging maneuvers, and splitting maneuvers. …”
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Wireless rechargeable sensor networks with separable charger array by Chengjie Xu, Rei-Heng Cheng, Tung-Kuang Wu

“…The battery cell can be unloaded on site with sensor, while the vehicle carries on its mission. A scheduling algorithm, a revised earliest deadline first algorithm, is proposed to work with this new model. …”
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Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic by Francesco Liberati, Manuel Donsante, Chiara Maria Francesca Cirino, Andrea Tortorelli

“…There are two main objectives. The algorithm shall suggest to the planning operators an optimized scheduling of the activities, i.e., one which minimizes the total completion time (the makespan), while satisfying all the applicable constraints. …”
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Root-MUSIC-based joint TOA and DOA estimation in IR-UWB by Fang-qiu WANG, Xiao-fei ZHANG, Fei WANG

“…The simulation results show that the proposed algorithm has much better performance than matrix pencil algorithm, propaga-tor method and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, and has almost the same performance as 2D-MUSIC algorithm, while the complexity of the proposed algorithm has far lower than that of 2D-MUSIC algorithm.…”
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Diagnostics of the results of mastering competencies in the information environment for teaching IT students by I. A. Andrianov, A. M. Polyanskiy, S. U. Rzheutskaya, M. V. Kharina

“…The algorithm is based on the analysis of the statistical characteristics of the results of completing tasks by students. …”
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Log-Aesthetic Curves for Shape Completion Problem by R. U. Gobithaasan, Yip Siew Wei, Kenjiro T. Miura

“…The final section illustrates three examples to showcase the efficiency of the proposed algorithm. The results are further compared with Kimia’s method to prove that the algorithm produces equally good result. …”
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Reconfigurable and Scalable Artificial Intelligence Acceleration Hardware Architecture With RISC-V CNN Coprocessor for Real-Time Seizure Detection by Shuenn-Yuh Lee, Ming-Yueh Ku, Sing-Yu Pan, Chou-Ching Lin

“…This study proposes a seizure detection algorithm to identify a seizure attack with EEG. This algorithm includes a simplified signal preprocessor and a nearly optimized convolutional neural network (CNN). …”
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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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