Mitochondrial Dysfunction and Atherosclerosis: The Problem and the Search for Its Solution by Ganna Nevoit, Gediminas Jarusevicius, Maksim Potyazhenko, Ozar Mintser, Inga Arune Bumblyte, Alfonsas Vainoras

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Mathematical model of work optimisation in the development of automated information systems by G.M. Abildinova, A.M. Aitimova

“…The paper presents the main components of the mathematical model represent ing the work process when creating an information system. …”
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Model Sharing and Scalability in the Real-Time Simulation and Intelligent Hierarchical Control of Discrete-Event Systems by Fernando Gonzalez

“…Next, a new modeling paradigm that solves the scalability issue resulting from the model explosion problem is presented, where the simulation models are automatically generated by recycling the models used for control. …”
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Formal modeling of a causal consistent distributed system and verification of its history via model checking using colored Petri net by Khalid Amjed Mohammed Alsaegg, Saeid Pashazadeh, Mina Zolfy Lighvan

“…The basics of the algorithm and its assumptions are presented in the article. Then, a novel formal hierarchical colored Petri net model of a DS with CC support and three constituting replicas is presented. …”
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Similar handwritten Chinese character recognition based on deep neural networks with big data by Zhao YANG, Da-peng TAO, Shu-ye ZHANG, Lian-wen JIN

“…The recognition rates of the traditional similar handwritten Chinese character recognition (SHCCR) systems are not very high due to the restriction of feature extraction methods.In order to improve the recognition accuracy,a new method based on deep neural networks (DNN) was proposed to learn effective features automatically and conduct recog-nition.The method of how to generate similar handwritten Chinese character sets was introduced.The architecture of the DNN for SHCCR was presented.The performances with respect to different training data scale was compared.The ex-perimental results show that,DNN can learn features automatically and efficiently.The proposed DNN can achieve better performance comparing with support vector machine (SVM) and nearest neighbor classifier (1-NN) based on gradient features.Especially,with the increase of training data the recognition rate of DNN is improved observably,indicating that large training data is crucial for the performance of DNN.…”
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Verification of Synchronous-automaton Programs by S. V. Kubasov

“…This article presents a synchronous model of the automaton program. …”
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Usalpharma: A Cloud-Based Architecture to Support Quality Assurance Training Processes in Health Area Using Virtual Worlds by Francisco J. García-Peñalvo, Juan Cruz-Benito, Cristina Maderuelo, Jonás Samuel Pérez-Blanco, Ana Martín-Suárez

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Historical Slovenian Language Resources by Tomaž Erjavec

“…At first the corpus was annotated automatically and then manually verified and corrected. …”
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Applications of Deep Reinforcement Learning for Home Energy Management Systems: A Review by Dominik Latoń, Jakub Grela, Andrzej Ożadowicz

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Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction by Komei Hiruta, Junsuke Senoguchi

“…The task of predicting stock prices presents significant challenges due to the non-linear relationships between historical and future values and the multitude of factors influencing price fluctuations. …”
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Block-chain abnormal transaction detection method based on adaptive multi-feature fusion by Huijuan ZHU, Jinfu CHEN, Zhiyuan LI, Shangnan YIN

“…Aiming at the problem that the performance of intelligent detection models was limited by the representation ability of original data (features), a residual network structure ResNet-32 was designed to automatically mine the intricate association relationship between original features, so as to actively learn the high-level abstract features with rich semantic information.Low-level features were more transaction content descriptive, although their distinguishing ability was weaker than that of the high-level features.How to integrate them together to obtain complementary advantages was the key to improve the detection performance.Therefore, multi feature fusion methods were proposed to bridge the gap between the two kinds of features.Moreover, these fusion methods can automatically remove the noise and redundant information from the integrated features and further absorb the cross information, to acquire the most distinctive features.Finally, block-chain abnormal transaction detection model (BATDet) was proposed based on the above presented methods, and its effectiveness in the abnormal transaction detection is verified.…”
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TRANSPARENCY METERS AND GAS ANALYZERS BASED ON TWO-WAVELENGTH SEMICONDUCTOR LASERS by V. L. Kozlov, M. M. Kygeiko

“…The system automatically takes into account changes of a controllable line length that expands functionalities of a measuring instrument.…”
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Explainable Recommender Systems Through Reinforcement Learning and Knowledge Distillation on Knowledge Graphs by Alexandra Vultureanu-Albişi, Ionuţ Murareţu, Costin Bădică

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METHODOLOGICAL BACKGROUND OF EXPERT ESTIMATION OF INITIAL DATA COMPLETENESS AND QUALITY ACCORDING TO THE CERTIFIED INFORMATION SECURITY SYSTEM by V. K. Fisenko, E. P. Maksimovich, A. B. Stepanyan, V. A. Dmitriev, D. S. Kim, T. S. Martinovich

“…It is shown that, in order to improve quality, reduce time and cost of preparation for certification, it is reasonable to use software system for automatization of the process of initial data analysis, presented by the owner of the information system.…”
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Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code by Priti Oli, Rabin Banjade, Lasang Jimba Tamang, Vasile Rus

“…We present in this paper an automated method to assess the quality of Jupyter notebooks. …”
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A novel approach for simulating and optimizing the production costing system by Mohamed O. Hegazi

“…This paper presents a novel approach for simulating and optimizing production costing systems using linear programming. …”
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An improved trajectory tracking control of quadcopter using a novel Sliding Mode Control with Fuzzy PID Surface. by Elisabeth Andarge Gedefaw, Chala Merga Abdissa, Lebsework Negash Lemma

“…This paper presents Super Twisting Sliding Mode Control with a novel Fuzzy PID Surface for improved trajectory tracking of quadrotor unmanned aerial vehicles under external disturbances. …”
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INVESTIGATION ON FINITE ELEMENT MODELING METHOD OF WITH TRIPLE JUNCTION POLYCRYSTALLINE INTERGRANULAR FRACTURE by SHI JunLin, ZHAO JianPing

“…Cohesive zone model was used to simulate polycrystalline intergranular fracture at the grain level model,the finite element model build-ing reflected the actual situation is a difficult point.In this paper,Mixed Programming of Matlab,Python and Abaqus,An algorithm was presented which can easily and quickly generated Voronoi geometric model and the grain sizes distribution agrees with lognormal distribution.Realized the automatically insert the zero-thickness cohesive interface element by writing nodes and elements at crystal boundary,firstly solved the void zone at the intersection of the three zerothickness cohesive element,which is the triple junction,And to make up the defect of cohesive zone model.The whole process of the finite element analysis was performed automatically by secondary development,including the assignation material properties,material orientation,load application,model solution.Finally,polycrystalline aluminum was used as an example to simulate the intergranular fracture process without the initial damage.The results show that the method is more effectively and practically,which can be used to simulate polycrystalline intergranular crack initiation and propagation in random microscopic grains.…”
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THE METHODOLOGY AUTOMATION OF ERGONOMIC LEXICAL AND GRAMMATICAL ALGORITHMIZATION OF LATIN LANGUAGE DIFFICULTIES by N. A. Stadulskaya, L. A. Antipova, K. V. Martirosyan, V. F. Antonov

“…In this message we have presented for the first time a "The methodology of ergonomic algorithmization of lexical and grammatical difficulties oflatin language", developed by the authors. …”
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Introducing a high-throughput energy-efficient anti-collision (HT-EEAC) protocol for RFID systems by Sara El Mattar, Abdennaceur Baghdad

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