Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit by LIU Yue, LIN Jun, LUO Xiao, CHU Wei, LIU Ren

“…This paper analyzes the development status of speech technology in the field of automotive field, introduces the development process of this technology in detail, focuses on the demand and application of speech recognition technology in the field of rail transit.Aiming at the problem that the display interactive content of different models of rail transit is changeable and needs to be customized and developed, the research on speech recognition technology based on time-delay neural network is carried out and a speech recognition system for train display based on intelligent computing platform is developed. …”
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Application of Cloud Simulation Techniques for Robotic Software Validation by Diogo Vieira, Miguel Oliveira, Rafael Arrais, Pedro Melo

“…Continuous Integration and Continuous Deployment are known methodologies for software development that increase the overall quality of the development process. Several robotic software repositories make use of CI/CD tools as an aid to development. …”
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An Initial Investigation of Adjoint-Based Unstructured Grid Adaptation for Vortical Flow Simulations by Li Li

“…A computational fluid dynamics (CFDs) method utilizing unstructured grid technology has been employed to compute vortical flow around a 65° delta wing with sharp leading edge, which is specially known as the geometry of the second international vortex flow experiment (VFE-2). …”
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Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

“…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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Active Disturbance Rejection Control for an automotive suspension system based on parameter tuning using a fuzzy technique. by Tuan Anh Nguyen

“…In general, system adaptation is ensured under many investigated conditions based on tuning the controller parameters by the soft computing method.…”
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Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot by Wenwei Luo, Ling Meng, Fei Feng, Pengyu Guo, Bo Li

“…In addition, by implementing the algorithm on the JAX framework for parallel computing, the computational efficiency was significantly enhanced, allowing the entire optimization process within 17.3 h. …”
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Determination of the Shortest Hamiltonian Paths in an Arbitrary Graph of Distributed Databases by E. G. Andrianova, V. K. Raev, D. I. Filgus

“…A method has been developed for finding the shortest Hamiltonian path in an arbitrary graph based on the rank approach, which provides high efficiency and a significant reduction in the error in solving the problem of organizing the process of managing multiple transactions and queries when they are implemented in network databases. …”
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Merging Sequence Optimization Based on Reverse Auction Theory and Merging Strategy with Active Trajectory Adjustment of Heterogeneous Vehicles by ShiHui Wang, Min Zhao, DiHua Sun, Xiaoyu Liu

“…In particular, the downstream vehicles in the strategy can change their original velocities to actively participate in the cooperative merging process according to the merging requirements of on-ramp vehicles. …”
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Investigation of deep learning image fusion techniques for medical imaging by Angayarkanni Veeraputhiran, Muthukumar Balamurugan, Varun P. Gopi

“…Image fusion is becoming increasingly important as a result of recent advancements in image processing applications because of the enormous number of different capture devices available. …”
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Sensors Grouping Hierarchy Structure for Wireless Sensor Network by Ammar Hawbani, Xingfu Wang, Saleem Karmoshi, Lin Wang, Naji Husaini

“…The grouping of sensors is computational process intended to partition the sensors of network into groups. …”
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A Novel Methodology for the Stochastic Integration of Geophysical and Hydrogeological Data in Geologically Consistent Models by Alexis Neven, Philippe Renard

“…To speed up the inversion process, forward responses are computed in lower‐dimensional spaces relevant to each physical problem. …”
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A Novel Graphical Technique for Combinational Logic Representation and Optimization by Vedhas Pandit, Björn Schuller

“…Transforming a function into the proposed representations (also the inverse) is a very intuitive process, easy enough that a person can hand-calculate these transformations. …”
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Digital platforms in the agricultural sector: Dynamics of oligopolistic platformisation by Monja Sauvagerd, Maximilian Mayer, Monika Hartmann

“…We explore how these pre-existing oligopolistic market structures influence the process and outcomes of platformisation in the ag sector. …”
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A Framework for Estimating Long Term Driver Behavior by Vijay Gadepally, Ashok Krishnamurthy, Ümit Özgüner

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Evaluation of complex multi-physics phenomena at gas diffusion electrodes during high-pressure water electrolysis with AEMs by Erik Delp, Rakesh Mishra, Enno Wagner

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Review and Bibliographic Analysis of Metaheuristic Methods in Multicriteria Decision-Making: A 45-Year Perspective Across International, Latin American, and Colombian Contexts by Christian Manuel Moreno Rocha, Andres Santacruz Benitez, Daina Arenas Buelvas

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Approach of detecting low-rate DoS attack based on combined features by Zhi-jun WU, Jing-an ZHANG, Meng YUE, Cai-feng ZHANG

“…LDoS (low-rate denial of service) attack is a kind of RoQ (reduction of quality) attack which has the characteristics of low average rate and strong concealment.These characteristics pose great threats to the security of cloud computing platform and big data center.Based on network traffic analysis,three intrinsic characteristics of LDoS attack flow were extracted to be a set of input to BP neural network,which is a classifier for LDoS attack detection.Hence,an approach of detecting LDoS attacks was proposed based on novel combined feature value.The proposed approach can speedily and accurately model the LDoS attack flows by the efficient self-organizing learning process of BP neural network,in which a proper decision-making indicator is set to detect LDoS attack in accuracy at the end of output.The proposed detection approach was tested in NS2 platform and verified in test-bed network environment by using the Linux TCP-kernel source code,which is a widely accepted LDoS attack generation tool.The detection probability derived from hypothesis testing is 96.68%.Compared with available researches,analysis results show that the performance of combined features detection is better than that of single feature,and has high computational efficiency.…”
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AutoRL-Sim: Automated Reinforcement Learning Simulator for Combinatorial Optimization Problems by Gleice Kelly Barbosa Souza, André Luiz Carvalho Ottoni

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Discounted-likelihood valuation of variance and volatility swaps by Napat Rujeerapaiboon, Sanae Rujivan, Hongdan Chen

“…The proposed framework embraces a worst-case perspective while exploiting the underlier’s stochastic process, representing a combination of robust optimization and stochastic programming. …”
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Real-time chiral dynamics at finite temperature from quantum simulation by Kazuki Ikeda, Zhong-Bo Kang, Dmitri E. Kharzeev, Wenyang Qian, Fanyi Zhao

“…By introducing a chiral chemical potential μ 5 through a quench process, we drive the system out of equilibrium and analyze the induced vector currents and their evolution over time. …”
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