Implementation of Doodle Jump Game Based on Accelerometer Sensor and Kalman Filter by Edghar Danuwijaya, Yohanes Armenian Putra, Hilal Hudan Nuha, Ikke Dian Oktaviani

“…The method used to use this filter is the Kalman Filter algorithm. The use of the Kalman Filter method can provide a stable level of accuracy in the movements of the main characters in the game and the accelerometer sensor so that it can become a precise algorithm. …”
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Development of a Telegram Bot to Determine the Level of Technological Readiness by D. I. Suntsova, V. A. Pavlov, Z. V. Makarenko, P. P. Bakholdin, A. S. Politsinsky, A. S. Kremlev, A. A. Margun

“…Flowcharts reflecting the algorithm of the bot, and images demonstrating the appearance of its interface are presented. …”
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Application of convolutional neural networks in the intelligence security system subsystem by V. S. Demeshko, A. I. Фёдоров

“…The article proposes the structure of an integrated security system for areal facilities. The main subsystems included in its composition are considered. …”
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Constructive Properties of Union CHTO… CHTO… and Its Semantics by V. N. Zavyalov, Yong Il Song

“…The theoretical significance lies in the proposed description algorithm, which can be used to characterize similar means of syntactic communication. …”
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A feature-based intelligent deduplication compression system with extreme resemblance detection by Xiaotong Wu, Jiaquan Gao, Genlin Ji, Taotao Wu, Yuan Tian, Najla Al-Nabhan

“…We propose a content-defined chunking algorithm for duplicate detection and a Bloom filter-based resemblance detection algorithm. …”
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Machine Learning Model for Construction Time Prediction: A Case of Selected Public Building Projects in Hosanna, Ethiopia by Demoze Wondimu Debero, Ephrem Girma Sinesilassie

“…The study developed Bromilow’s time-cost model using a simple linear regression algorithm and Love et al.’s time-floor model using a multiple linear regression algorithm and proposed a parametric model using random forest, XGBoost, decision tree, K-nearest neighbor, and polynomial regression algorithms. …”
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An Overview of the Application of Harmony Search for Chemical Engineering Optimization by R. M. Fonseca-Pérez, O. Del-Mazo-Alvarado, A. Meza-de-Luna, A. Bonilla-Petriciolet, Z. W. Geem

“…This article reviews the global and multi-objective optimization for chemical engineering using harmony search. The main features of the HS method and several of its popular variants and hybrid versions including their relevant algorithm characteristics are described and discussed. …”
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Research of Pedestrian Detection Methods with Anchor Frame Based on Deep Learning by Yan Tao

“…The occlusion problem and the scale change problem are one of the main causes of omission and false detection problems in practical applications of pedestrian detection. …”
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A classification model for power corridors based on the improved PointNet++ network by Li Bo, Liu Siyuan, Wang Xiangfeng, Zou Cunyu

“…Therefore, the algorithm has great potential in point cloud classification.…”
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Cost-sharing in Parking Games by Jennifer Elder, Pamela E. Harris, Jan Kretschmann, J. Carlos Martínez Mori

“…Next, we study their Shapley value, which formalizes a notion of "fair" cost-sharing and amounts to charging each car for its expected marginal displacement under a random arrival order. Our main contribution is a polynomial-time algorithm to compute the Shapley value of parking games, in contrast with known hardness results on computing the Shapley value of arbitrary games. …”
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Research on Urban Rainfall Runoff Pollution Prediction Model Based on Feature Fusion by Junping Yao, Tianle Sun

“…In this paper, a rainfall runoff pollution prediction method based on grey neural network algorithm is proposed in consideration of the current situation that the accuracy of research results related to rainfall runoff pollution prediction needs to be improved. …”
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Content Patterns in Topic-Based Overlapping Communities by Sebastián A. Ríos, Ricardo Muñoz

“…This paper presents our main contribution, a hybrid algorithm which combines two different overlapping sub-community detection approaches: the first one considers the graph structure of the network (topology-based subcommunities detection approach) and the second one takes the textual information of the network nodes into consideration (topic-based subcommunities detection approach). …”
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Identifying potential threats to economic security in a commercial organization by O. A. Ageeva, Yu. D. Matytsyna

“…The article reveals methods of identifying potential threats to economic security of commercial organization, primarily the algorithm of express diagnostics of its financial and economic activities. …”
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Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning by Arash Golibagh Mahyari, Thomas locher

“…The deployment of the proposed algorithm on real-world datasets demonstrates that the algorithm can not only distinguish between tasks and mechanical condition change, it further yields a sharper deviation from the trained model in case of a mechanical condition change and thus detects mechanical issues with higher confidence.…”
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Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering by Piotr Szczepocki

“…Originality/Value: The main contribution of the paper is the proposition of a new estimation method for the Cholesky Multivariate Stochastic Volatility Model based on iterated filtering algorithm This is one of the few frequentist-based statistical inference methods for multivariate stochastic volatility models.…”
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Participation of local government authorities in urban planning solutions making by O. M. Roy

“…The article summarizes the main trends in the field of participation of local governments in making urban planning solutions. …”
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Human resources in a healthcare institution as the management efficacy improvement factor by A. V. Kukurika

“…There was carried a SWOT-analysis of personnel management has been out, disclosed the main problems of the management system of a medical institution. …”
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Rationale and study protocol of the MAMELI Cohort study (Mapping the Methylation of repetitive elements to track the Exposome effects on health: the city of Legnano as a Living lab... by Valentina Bollati, Federica Rota, Laura Dioni, Chiara Favero, Simona Iodice, Marta Gallazzi, Andrea Spinazzè, Giacomo Fanti, Davide Campagnolo, Tiago Nardi, Davide Biganzoli, Eva Dariol, Rachele Matsagani, Mirjam Hoxha, Paola Monti, Benedetta Albetti, Letizia Tarantini, Davide Barbuto, Ester Luconi, Giuseppe Marano, Giacomo Biganzoli, Roberta Biciuffi, Patrizia Boracchi, Domenico M Cavallo, Pilar M Guerrieri, Fabio Mosca, Stefano Gustincich, Giovanni Sanesi, Luca Ferrari, Michele Carugno, Silvia Fustinoni, Angela Cecilia Pesatori, Luca Pandolfini, Michele Miragoli, Andrea Cattaneo, Elia Biganzoli

“…The goal will be to develop a predictive algorithm (the MAMELI algorithm) that links the exposome to RE methylation status, creating a "RE methylation signature" reflecting the environmental impact on DNA methylation; iii) In this phase, the MAMELI algorithm will be applied to a separate cohort of 3,500 participants to compare the measured RE methylation signature with values predicted by the algorithm. …”
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Global‐Scale Groundwater Recharge Modeling Is Improved by Tuning Against Ground‐Based Estimates for Karst and Non‐Karst Areas by Wenhua Wan, Petra Döll, Hannes Müller Schmied

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Power Management Controller for Microgrid Integration of Hybrid PV/Fuel Cell System Based on Artificial Deep Neural Network by Abdulbaset Abdulhamed Mohamed Nureddin, Javad Rahebi, Adel Ab-BelKhair

“…Based on the investigation report, an algorithm is proposed for an advanced maximum power point tracking (MPPT) controller. …”
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