Transparency in artificial intelligence by Stefan Larsson, Fredrik Heintz

“…Firstly, we discuss the conceptual distinction between transparency in AI and algorithmic transparency, and argue for the wider concept ‘in AI’, as a partly contested albeit useful notion in relation to transparency. …”
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An Evolutional Topology Optimization Method Based on Kernel Level Set Function by Takahiro Sato, Kota Watanabe, Hajime Igarashi

“…Topology optimizations involving evolutionary algorithms are promising approaches to solve practical engineering design problems, since their use of derivation-free algorithms makes them applicable to any design problem. …”
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A Novel Linearly Complex Extended Signed Response-Based Node Authentication Scheme for Internet of Medical Things by Muhammad Saud Khan, Muhammad Sardaraz, Muhammad Tahir, Abdullah Alourani

“…Consequently, the conventional solutions used for conventional wireless networks do not apply to wireless sensor networks due to the differences in algorithms and associated costs in terms of processing and power consumption. …”
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Path Planning and Obstacle Avoidance of Formation Flight by Yi-Sin Yang, Jih-Gau Juang

“…For obstacle avoidance, depth cameras are installed on the drones, and the obtained images are processed by reinforcement Q-learning with a genetic algorithm to navigate around obstacles. Since maintaining formation is necessary during task execution, the leader–follower method of formation flight ensures that multiple drones can complete inspection tasks while maintaining formation.…”
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Representative Model of Economic Development for an Agricultural Enterprise in the Context of Socioeconomic Rural Space Formation by Vasyl D. Zalizko, Igor L. Fedun, Valentyn I. Martynenkov

“…The article systematized the most widely spread models of agricultural enterprises’ functioning and presents the authors’ algorithm how to stimulate further development of socioeconomic rural territories in Ukraine under the conditions of the ongoing political and economic decentralization. …”
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Combined electro-pneumatic braking matching control for smooth operation of the heavy-haul train by MA Zhiqiang, WANG Junyu, WEI Mi, WANG Qingyuan

“…In the current study, a multi-objective optimal operation model was established for heavy-haul trains firstly, considering the dynamic process in the application of air braking force, and the constraints due to the train operation environment and vehicle mechanical characteristics, and then was solved by the quadratic programming algorithm. Since the air braking model can hardly be linearly approximated, the air braking force was incorporated into the optimization model as a kind of train known control force, taking advantage of the consistent main characteristics of the modeled speed curve, resulting in the electro-pneumatic braking control decoupled spatially and temporally. …”
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Research on the Prediction of Pipelines Corrosion Rate Based on GA-LSSVM by CHEN Yong-hong, SU Yong-sheng, HU Ping

“…Corrosion rate is an important characteristic parameter to reflect the corrosion dynamics process of pipeline.In order to accurately evaluate the long-term operation reliability and remaining life of pipeline, the prediction of corrosion rate is particularly important.Least squares support vector machine(LSSVM)is a method based on machine learning, which is often used in classification and prediction research.Since penalty parameters γ and kernel parameters σ2 are two important parameters of LSSVM, the value of these two parameters can only be obtained by experience in calculation, causing a great impact on the calculation results.In this paper, the genetic algorithm(GA)was used to optimize the parameters, the GA-LSSVM prediction model was built and the model was applied to the prediction of pipeline corrosion rate.Compared with the results of other prediction models, the results showed that the accuracy of GA-LSSVM model and prediction results were relatively higher, which could realize the prediction of pipeline corrosion rate.…”
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Fault Location of DC Transmission Lines Based on Backward Waves Considering Wave Speed Changes by Jianwei WU, Jianfeng SHAO

“…Compared with the existing fault location algorithm, the reliability of the wave head identification of this algorithm is improved, and since the variation of the wave speed is taken into consideration, the ranging accuracy is improved further when different types of wires are used in the DC line.…”
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Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

“…Since the optimization process only using genetic algorithms is very time-consuming and has high computational costs, artificial neural networks were used to reduce costs. …”
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Multi-criteria decision analysis for regional-scale flood susceptibility mapping in Kerala state, India by M. S. Kendagannaswamy, C. K. Roopa, B. S. Harish, M. S. Mukesh

“…The result indicates that the use of machine learning algorithm resulted better reliability of flood susceptibility maps. …”
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Distributionally robust microgrid formation for service restoration in distribution systems against extended extreme events by Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Jin Zhao

“…Furthermore, to enhance the computational efficiency, a parallel solving strategy is developed, based on the column-and-constraint generation algorithm, the alternating optimization procedure, and the progressive hedging algorithm. …”
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User-Oriented Preference Toward a Recommender System by Pei-Chun Lin, Nureize Arbaiy

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Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach by Ruisi Nan, Jingwei Wang, Hanfang Li, Youxi Luo

“…Since the advent of composite quantile regression (CQR), its inherent robustness has established it as a pivotal methodology for high-dimensional data analysis. …”
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Optimization of management of patients with critical lower limb ischemia, allowing for risk of gangrene by A. V. Bykov, N. A. Korenevsky, S. A. Parkhomenko, I. I. Khripina

“…To develop mathematical models for predicting the risk of gangrene of the lower limb and the algorithm for selecting of treatment strategies for vascular surgeons and angiologists.Material and methods. …”
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Joint simplification of various types spatial objects while preserving topological relationships by Olga P. Yakimova, Dmitriy M. Murin, Vladislav G. Gorshkov

“…The first step of the algorithm is the construction of a special mesh data structure. …”
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A Multi-Goal Particle Swarm Optimizer for Test Case Prioritization by Muhammad Nazir, Arif Mehmood, Waqar Aslam, Yongwan Park, Gyu Sang Choi, Imran Ashraf

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A mobile application-based decision support system for routing and decision making problems by Oğuz Bedel, Fehmi Özsoydan, Kutay Çetinkurt, Metehan Bolat

“…Moreover, mobile devices offer more sophisticated approaches since they can gather data and process the collected data by various algorithms, which are embedded to devices via applications. …”
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First ElGamal Encryption/Decryption Scheme Based on Spiking Neural P Systems with Communication on Request, Weights on Synapses, and Delays in Rules by Irepan Rangel, Daniel-Eduardo Vázquez, Eduardo Vázquez, Gonzalo Duchen, Juan-Gerardo Avalos, Giovanny Sanchez

“…During the last five years, spiking neural P (SN P) systems have attracted a lot of attention in the field of cryptography since these systems can more efficiently support advanced and complex cryptographic algorithms due to their high computational capabilities. …”
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Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptiv... by S. Venkatesh, S. Gopal, K. Kannan

“…Recently, the focus has shifted to the identification of multiple sources of PD since it is often encountered in real-time measurements. …”
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An explicit categorical construction of instanton density in lattice Yang-Mills theory by Peng Zhang, Jing-Yuan Chen

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