A Data-Driven Model for the Energy and Economic Assessment of Building Renovations by Giuseppe Piras, Francesco Muzi, Zahra Ziran

“…This research aims to identify the main factors influencing the energy consumption of buildings by analyzing a large database of building characteristics using machine learning algorithms. …”
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Current Trends in the Radiodiagnosis of Hodgkin’s Lymphoma in Children by K. A. Khasanova, I. E. Tyurin

“…This article describes in detail the main advantages and disadvantages of CECT and 18F-FDG PET/CT at all stages of management of children with HL, as well as various approaches for current diagnostic algorithms in the primary staging of HL in children and in the evaluation of treatment efficiency.Literature was sought using the following databases: Pubmed, Uptodate, ClinikalKey, CyberLen-inka, and Russian Science Citation Index (RSCI).…”
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A Hybrid Model for Freight Train Air Brake Condition Monitoring by Alessandro Galimberti, Federico Zanelli, Gisella Tomasini

“…To achieve this goal, advanced algorithms for air brake modelling are required. This paper introduces a computationally efficient air brake model tailored for real-time diagnostic applications. …”
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The treatment of sexually transmitted infections by Armorel D. van Eyk

“…Health care providers make use of flow charts or algorithms for diagnosis and treatment. Algorithms or flowcharts should be adapted to local conditions taking into consideration aetiology, local antimicrobial susceptibility patterns and drug availability. …”
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Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques by Nihat Pamuk

“…The use of big data in deep neural networks has recently surpassed traditional machine learning techniques in many application areas. The main reasons for the use of deep neural networks are the increase in computational power made possible by graphics processing units and tensor processing units, and the new algorithms created by recurrent neural networks and CNNs. …”
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Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks. by Daniel Walke, Daniel Steinbach, Sebastian Gibb, Thorsten Kaiser, Gunter Saake, Paul C Ahrens, David Broneske, Robert Heyer

“…<h4>Purpose</h4>Machine learning is a powerful tool to develop algorithms for clinical diagnosis. However, standard machine learning algorithms are not perfectly suited for clinical data since the data are interconnected and may contain time series. …”
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Energy Efficient Design for Two-Way AF Relay Networks by Yong Li, Zhengguang Zheng, Mingyue Zhao, Yunli Chen, Chuanyong Liu

“…Conventional designs on two-way relay networks mainly focus on the spectral efficiency (SE) rather than energy efficiency (EE). …”
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Time-Collaborative Constellation Design With Finite-Alphabet Inputs for Two-User Multi-Access Visible Light Communications by Zhen-Yu Wang, Hong-Yi Yu, Da-Ming Wang

“…However, the current available works for multiuser VLC systems mainly focus on broadcast scenarios and beamforming techniques. …”
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Tri-Collab: A Machine Learning Project to Leverage Innovation Ecosystems in Portugal by Ângelo Marujo, Bruno Afonso, Inês Martins, Lisandro Pires, Sílvia Fernandes

“…This project consists of a digital platform named Tri-Collab, where investors, entrepreneurs, and other agents (mainly talents) can cooperate on their ideas and eventually co-create. …”
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Intelligent Sensor for Measurement Systems with Sinusoidal Excitation Response by U. A. Mikitsevich, A. I. Svistun, A. V. Samarina, K. U. Pantsialeyeu, A. L. Zharin

“…The aim of the work was to develop the optimal architecture and algorithms for the operation of intelligent sensors intended for use in measuring systems operating according to the sinusoidal excitation – response scheme.This paper describes the approach proposed by the authors to the construction of intelligent sensors based on modern microcontrollers, the distinctive feature of which is the continuous generation of sinusoidal excitation and reading responses in the background, as well as setting the readiness flags for data processing in the main process of the microprocessor, which ensures uninterrupted execution of background processes, the main of which is the generation of a sinusoidal excitatory action.This approach has been tested in the development of charge-sensitive surface mapping systems, such as the Kelvin probe based on a vibrating capacitor, and the surface photo voltage probe for the case of semiconductors.…”
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Reducing the Effects of City Heat Islands Through Cool Pavement Materials (Case Study: District 8 of Tabriz Metropolis) by Asghar Abedini, Mojtaba Azmoun, Kiarash Azarkish, Sina Moshtaghi

“…After analyzing the 15 main factors determined for the 8th area of ​​Tabriz and field observations of the main materials used in the area, which were mostly cement and clay, and determining the albedo, thermal radiation emission rate, heat capacity and solar reflectance of the colors in the area, we came to the conclusion that with More or less the entire region is one of the most effective indicators of heat islands, the main difference in urban temperature difference can be seen in the type of pavement materials used and its color in the designated heat islands. …”
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Hospital Accessibility Catchment Areas as a Fuzzy Lattice Data Structure by M. de Klerk, I. Fabris-Rotelli

“…Spatial accessibility can vary between cities and countries and is mainly defined by the ease at which facilities can be accessed by communities. …”
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Evidence-based perspective on heart failure and osteoporosis: a systematic review by V. N. Larina, E. S. Shcherbina, V. V. Dryutova, V. G. Larin

“…The age of the patients was at least 49 years (mainly elderly patients). The median follow-up ranged from 12 months to 10,5 years. …”
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Discovering High-Level Process Models from Event Logs by Antonina A. Begicheva, Irina A. Lomazov

“…Models synthesis is intensively studied in the frame of process mining research, but only models and event logs of the same granularity are mainly considered in the literature. Here we present an algorithm for discovering high-level acyclic process models from event logs and some specified partition of low-level events into subsets associated with abstract events in a high-level model.…”
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Role of Customs Legislation and Practice of Its Implementation in the Protection of Fauna of Ukraine by I. O Panov

“…The main factors influencing the impossibility of preventing the export of wild animals outside Ukraine are the state policy on simplification of customs clearance of goods and the introduction of the “single window” principle. …”
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Travel Time Variability and Spatio-Temporal Analysis of Urban Streets Using Global Positioning System: A Review by Zainab Ahmed Alkaissi, Ruba Yousif Hussain

“…Travel time estimation algorithms based on speed data loop detectors induced insignificant differences when the study route was a relatively short and slow transition from free state to congestion state. …”
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Research status of gearboxes for high-power nuclear power circulation pumps by WEI Fude, WANG Huanhuan, YANG Shuncheng

“…ObjectiveNuclear power has become the main trend in the future energy development of China and even the world. …”
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ABOUT THE GENERAL CONCEPT OF THE UNIVERSAL STORAGE SYSTEM AND PRACTICE-ORIENTED DATA PROCESSING by L. V. Rudikova

“…An universal system based on describing concept will allow collection information of different subject domains, get analytical summaries, do data processing and apply appropriate Data Mining methods and algorithms.…”
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AI-powered analysis of ESG disclosure: a clustering approach to determinants and motivations by Ouissal El Aziz, Abdelkarim Asdiou

“…Abstract The main aim of this study is to explore the determinants of corporate ESG reporting, and to highlight the various factors, determinants and motivations likely to explain the adoption of ESG reporting by entities operating in different contexts. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…The article addresses a relevant issue of improving the accuracy of spectral analysis in computerized systems by optimizing window functions used in the Discrete Fourier Transform (DFT). One of the main challenges in real-world signal spectral analysis is spectral leakage, which causes the appearance of unwanted side lobes in the signal spectrum. …”
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