Methodology for Developing an Automated Adaptive System for Measuring Fluid Volume based on Gas Meter by Fedir Matiko, Oleh Pistun

“…A methodology for development of automated adaptive systems for measuring the gas volume has been created on the basis of the adaptive algorithm for correcting the measured gas volume under operating conditions, the analytical dependencies for calculating the absolute uncertainty of the measured gas volume under base conditions during a certain time period, and the analytical dependencies for monitoring the variation of the main error of the gas meter.…”
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A modular and adaptable approach for automated morphological feature extraction in meibography images by Itziar Fernández, Andrea Novo-Diez, María J. González-García

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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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Applications of Multi-Robotic Arms to Assist Agricultural Production: A Review by Xiaojian Gai, Chang Xu, Yajia Liu, Qingchun Feng, Shubo Wang

“…This paper focuses on the task allocation problem in the collaborative operation of agricultural multi-robotic arms and summarizes the main algorithms currently used, including the genetic algorithm, particle swarm algorithm, etc., in terms of the aspects of work area division and task planning order. …”
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Direction Finding Using a Four-Ray Street Canyon Propagation Model in Presence of Periodic Lamp-Posts for Use in Microcellular Wireless Communication and Angular Estimation by Sarah Poormohammad, Forouhar Farzaneh

“…Using the MUISC (Multiple Signal Classification) direction-finding algorithm the angle of arrival to the access point is computed in both azimuth and elevation. …”
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Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Gri... by Basim ALBaaj, Orhan Kaplan

“…Various optimization algorithms have been developed to address this issue. …”
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Design and development of optimal route planning software for the inspection of earthquake monitoring stations by Weifeng Zhang, Jie Pan, Dong Fan, Liangliang Sun, Guibao Zhao, Jingsheng Li

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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

“…Then, by defining eight variables, an attempt was made to optimize the design. The genetic algorithm was used as the optimization algorithm in this process. …”
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Research on speed measurement technology for maglev trains based on multi-source information fusion by LUO Yongsheng, FAN Liang, LIU Ze, WANG Yeliu

“…This research was conducted relying on the Grobers algorithm and the fuzzy closeness algorithm. Through multi-scenario weighted fusion modeling of train operation, a technical solution for train speed measurement was devised based on multi-source information fusion, and a main control unit for fusion speed measurement was developed. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…To evaluate the contamination level, a basic standard reference i.e., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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Specialized Mobile Applications as Means of Optimizing the Power Supply System of the Republic of Belarus by M. I. Fursanov, P. A. Sazonov

“…The potential benefits for business and end-users of services from the implementation of mobile applications-services were demonstrated. Their properties, main qualities and advantages over traditional methods of “business – client” interaction are considered. …”
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A Layered Software Architecture for the Development of Smart Mobile Distributed Systems Oriented to the Management of Emergency Cases by Lizbeth Yesenia Contreras Rivas, Eduardo López Domínguez, Yesenia Hernández Velázquez, Saúl Domínguez Isidro, María Auxilio Medina Nieto, Jorge De La Calleja

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Development of Empathy of Seventh-graders on the Basis of Musical and Stage Images by Kiryanov I.E., Lipkan N.V.

“…In the course of the study, we elaborated an algorithm for development of empathy of adolescents, in which the main idea is to create conditions for the manifestation of the subjectivity of the position of schoolchildren. …”
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Optimization Models for Reducing the Air Pollutants Emission in the Production of Insulation Bituminous by Faezeh Borhani, Majid Shafiepour Motlagh, Amir Houshang Ehsani, Yousef Rashidi, Alireza Noorpoor, Saeid Maddah

“…Delijan, the main production center production of bitumen insulation, is one of the most polluted cities in Iran. …”
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Development of a research environment for the operational and computational architecture of central bank digital currency software by A. S. Albychev, S. A. Kudzh

“…The basis for the formation of a software and hardware complex for providing CBDC information support is comprised of theoretical and experimental studies into contemporary digital transaction management tools.Results. The main architectural and technological components that make up the CBDC operational and computing environment comprise operational and computing architectures, blockchain technologies, consensus algorithms, and various forms of digital currencies. …”
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The Digital Era and the Evolution of Media Paradigms: A Critical Review of the Adaptation of Old Media in New Media Ecosystems by Yusnaini Yusnaini, Hayatun Nufus, Rahmat Saleh, Wahyu Adi Setyo Wibowo

“…This study aims to explore how traditional media constructs its identity in response to the demands of digital platforms and how the power structures and ideologies behind this transformation process unfold. The main findings reveal that media transformation is not only technical but also reflects changes in power structures, ideological values, and epistemic dynamics. …”
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Security and Fairness in Multiparty Quantum Secret Sharing Protocol by Alessio Di Santo, Walter Tiberti, Dajana Cassioli

“…We show the effectiveness and performance of the proposed protocol by testing it against the main classical and quantum attacks, thereby improving the state-of-the-art security measures.…”
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Harnessing optimization with deep learning approach on intelligent transportation system for anomaly detection in pedestrian walkways by Sultan Refa Alotaibi, Fatma S. Alrayes, Mashael Maashi, Mohammed Maray, Mohammed A. Alliheedi, Donia Badawood, Moneerah Alotaibi

“…Besides, the Chameleon Swarm Algorithm is employed for the optimum hyperparameter tuning method. …”
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Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring by Peter Jagd Sørensen, Claes Nøhr Ladefoged, Vibeke Andrée Larsen, Flemming Littrup Andersen, Michael Bachmann Nielsen, Hans Skovgaard Poulsen, Jonathan Frederik Carlsen, Adam Espe Hansen

“…The Brain Tumor Segmentation (BraTS) Challenge has been a main driver of the development of deep learning (DL) algorithms and provides by far the largest publicly available expert-annotated brain tumour dataset but contains solely preoperative examinations. …”
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Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services by Nuzaiha Mohamed, Reem Lafi Almutairi, Sayda Abdelrahim, Randa Alharbi, Fahad M. Alhomayani, Amer Alsulami, Salem Alkhalaf

“…Abstract Cardiovascular disease (CVD) is one of the severe disorders that requires effectual solutions. CVD mainly affects heart functionality in the human body. …”
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