On First-Principle Robot Building in Undergraduate Robotics Education in the Robotic System Levels Model by Bryan Van Scoy, Peter Jamieson, Veena Chidurala

“…However, robotics is inherently multi-disciplinary and requires knowledge of controls and automation, embedded systems, sensors, signal processing, algorithms, and artificial intelligence. This makes training the future robotics workforce a challenge. …”
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Application of Particle Filter to On-Board Life Estimation of LED Lights by Fazludeen Ruknudeen, Sundararajan Asokan

“…Light-emitting diode (LED) based lights used in safety critical applications need continuous monitoring of their light output since lumen degradation is one of many failure modes. …”
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Enhanced engine misfire diagnosis through integration of vibration and acoustic emission signals using artificial neural networks by Mohamed H. Abdelati, M. Mourad, Al-Hussein Matar, M. Rabie

“…After all the features were put into a complete matrix, the selection algorithms chose the most essential ones for classifying the data. …”
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A Spatial–Temporal Time Series Decomposition for Improving Independent Channel Forecasting by Yue Yu, Pavel Loskot, Wenbin Zhang, Qi Zhang, Yu Gao

“…In this paper, we improve the performance of single-channel forecasting algorithms by designing an interpretable front-end that extracts the spatial–temporal components from the input multivariate time series. …”
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Developing a comprehensive BACnet attack dataset: A step towards improved cybersecurity in building automation systemsKaggle by Seyed Amirhossein Moosavi, Mojtaba Asgari, Seyed Reza Kamel

“…The advantage of the generated dataset is that since we used real data, the data behaviour aligns with real conditions.…”
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RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE by Oleh V. Borovyk, Liudmyla V. Borovyk, Mykola V. Krasovsky

“…The problems of operations research have a greater degree of formalization, since they usually a priori provide all the restrictions, conditions, outcoming data and mathematical models. …”
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Closed-Loop Clustering-Based Global Bandwidth Prediction in Real-Time Video Streaming by Sepideh Afshar, Reza Razavi, Mohammad Moshirpour

“…Ensuring an exceptional user Quality of Experience (QoE) in this scenario depends on accurately predicting available bandwidth in the short term since it plays a pivotal role in guiding video rate adaptation. …”
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An optimized deterministic concurrency control approach for geo-distributed transaction processing on permissioned blockchains by Zhibo Han, Zeshun Peng, Gang Wang, Minghe Yu, Xiaohua Li, Yanfeng Zhang, Ge Yu

“…Traditional concurrency control algorithms, such as locking-based protocols, usually suffer from performance degradation due to heavy transaction coordination overheads. …”
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Decentralized Coordination of Temperature Control in Multiarea Premises by Maria Yukhymchuk, Volodymyr Dubovoi, Viacheslav Kovtun

“…The proposed coordination algorithms make it possible to optimize the operating modes of the system automatically when its structure and/or settings are changed. …”
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A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT by Zhong Li, Huimin Zhuang

“…Recently, the idea of applying the software-defined networking paradigm to industrial Internet of things is proposed by many scholars since this paradigm has the advantages of flexible deployment of intelligent algorithms and global coordination capabilities. …”
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Enhancing Speed and Imperceptibility in Watermarking Systems by Leveraging Galois Field Tables by Yasmin Alaa Hassan, Abdul Monem S. Rahma

“…The proposed method is ideal for applications with strict time limitations since this performance improvement allows real-time watermarking. …”
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The Invisible World of Images. From “Nonhuman” to “Undigital” Photography in Joanna Zylinska’s Reflections by Piotr Zawojski

“…The author argues that, in fact, photography has been a nonhuman practice since its beginnings, which is developed in her book Nonhuman Photography, preceded by the concepts of mediation and photomediation. …”
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Implementación de una Estación Meteorológica Mediante FPGA con Acceso y Análisis de Datos en Tiempo Real by Holger Jorge Santillán Carranza, José David Ochoa Ayala, José Alberto Ordoñez Guzmán, Peregrina Maria Amparo Wong Wong

“…To present the collected data, a Node-Network solution was developed to efficiently visualize the data, the algorithms used achieved an accuracy of 85% under normal conditions, the root mean square error (RMSE) was 0.2 °C for temperature and 1.5% for humidity. …”
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Deep Insights into AI perception in Croatia by Robert Kopal, Darija Korkut, Krešimir Žnidar

“…The risks it can impose in terms of biased and untransparent algorithms, privacy violation concerns, cybersecurity issues, disinformation and deep fakes creation and dissemination, to name just a few. …”
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Translation Strategies for Phonographic Deviations: A Psycholinguistic Approach by Олександр Ребрій, Ганна Тащенко

“…The main method of the research is retrospective experimental technique ‘Partial Delayed Report of Problems and their Solution’; other methods employed include algorithmic modeling (for prospected translation strategies and substrategies) and comparative analysis (for control units in the source and target texts). …”
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The Clinical Significance of the Dense Fine Speckled Immunofluorescence Pattern on HEp-2 Cells for the Diagnosis of Systemic Autoimmune Diseases by Michael Mahler, Marvin J. Fritzler

“…This has significant implications for medical management and diagnostic algorithms involving the detection of ANA. Recently, a novel immunoadsorption method has been developed that specifically blocks anti-DFS70 antibodies and, therefore, significantly increases the specificity of the ANA test for SARD. …”
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A method to manage the energy consumption of cloud centers for predictability in neuro-fuzzy networks by Ying Zhang

“…Power consumption at the cloud data centers becomes a challenging issue for such demanding requirements since user workloads are mostly unpredictable and exhibit a dynamic nature. …”
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PROACTIVE APPROACH IN TAX RISK MANAGEMENT: DATA ANALYSIS TECHNIQUES TO IDENTIFY HIGH-RISK TAXPAYERS by Funda KARAKOYUN

“…While innovations in software programs with digitalisation transformation reduce the manual workload of the tax administration, machine learning algorithms are used with experts employed in the field in continuously developing risk analysis studies. …”
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Methodological Basis and Experience of Using Data Mining Methods in Trade by D. T. Kaiyp, M. G. Zhartybayeva, Zh. O. Oralbekova

“…The possibility of using these methods in practice in the financial sector was considered. Since financial activity is closely related to our social life, the use of data mining methods plays an essential role in the analysis and forecasting of the financial market in the modern era of big data. …”
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Random Natural Gradient by Ioannis Kolotouros, Petros Wallden

“…Hybrid quantum-classical algorithms appear to be the most promising approach for near-term quantum applications. …”
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