Pilot-Less Time Synchronization for OFDM Systems: Application to Power Line Receivers by Aris S. Lalos, Athanasios Vgenis, Fotios Gioulekas, Michael Birbas

“…The most common modulation method used in such systems is OFDM, since it copes effectively with noise, multipath, fading selectivity, and attenuation. …”
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Machine Learning Techniques for Kinship Verification: A Review by Olivia Oraha, Yusra Mohammad

“…Thus, with the progress of years the kinship verification entered the computer vision world to determining the relationships using machine learning (ML) algorithms such as deep learning, transfer learning techniques and others. …”
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Methods for Calculating the Resistance of Grounding Devices with Backfilling Special Compositions by Drako Mikhail, Pavlovich Ivan, Baraishuk Siarhei

“…This fact may mislead specialists, since the results obtained may differ significantly from what is observed in practice after the installation of GDs. …”
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Dynamics of Robo-Advisory Financial Services in Saudi Arabia by Heba Gazzaz

“…The key limitations of adopting Robo-advisory services include algorithmic bias, a lack of trust and transparency, legal and regulatory issues, privacy and data security concerns, and limited financial literacy. …”
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Concept Drift Detection in Data Stream Mining : A literature review by Supriya Agrahari, Anil Kumar Singh

“…Hidden data contexts, which are not known to the learning algorithms, are known as concept drift. Classifier classifies incoming instances using past training instances of the data stream. …”
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Modelling penetration testing with reinforcement learning using capture‐the‐flag challenges: Trade‐offs between model‐free learning and a priori knowledge by Fabio Massimo Zennaro, László Erdődi

“…The authors focus their attention on simplified penetration testing problems expressed in the form of capture the flag hacking challenges, and analyse how model‐free reinforcement learning algorithms may help solving them. In modelling these capture the flag competitions as reinforcement learning problems the authors highlight the specific challenges that characterize penetration testing. …”
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Innovative computing and blockchain technologies in agriculture for accelerating economic integration among Russia, China, and the Republic of Belarus by A. Yu. Mikhailov

“…Cloud computing refers to distributed computing technologies that use algorithms for network access to shared computing resources. …”
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Innovating Automatic Grow Pots with Cutting-Edge Smart Hydroponic System by Mohamed Aezeden

“…In this study, we present a new hydroponic system to grow plants in an optimized way thanks to latest sensorisation and IoT features and state of the art machine learning algorithms. It has an integrated array of environmental sensors and a nutrient delivery system with an automated nutrient delivery mechanism that controls critical growth parameters like pH, nutrient levels and light intensity. …”
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A Comparative Study of XBORE and XBOREOPT Hybrid Models for Ore Production Forecasting in the Mining Industry by Morris Mkokweza, Santhi Kumaran, George Mufungulwa

“…Few hybrid models have been developed to handle data from mine systems, and this study investigates the comparative performance of machine learning algorithms XBORE and XBOREOPT for predicting ore production in mining operations. …”
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Optimizing Container Placement in Data Centers by Deep Reinforcement Learning by Hyeonjeong Kim, Cheolhoon Lee

“…Our approach outperforms traditional heuristic algorithms and offers the additional advantage of handling fixed-size inputs, enabling flexible operation regardless of the number of containers. …”
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Reframing the filter bubble through diverse scale effects in online music consumption by Dougal Shakespeare, Victor Chareyron, Camille Roth

“…Abstract The impact of platforms’ algorithmic curation devices on users’ consumption diversity has long since been the subject of debate in popular culture and academia alike. …”
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5G OFDM channel estimation method based on complex-valued generative adversarial network by LU Yuanzhi, WEI Xianglin, YU Long, YAO Changhua

“…Channel estimation methods based on least square (LS) and minimum mean square error (MMSE) effectively utilize the system’s sparsity, but LS algorithms face low computational precision, while MMSE algorithms suffer from high computational complexity. …”
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Organization and performance evaluation of the regional air medical service by A. A. Lobzhanidze, I. B. Yatsenko, O. E. Tkachenko, M. E. Barygin

“…This project is being implemented since 2014. Data in the article are provided on the basis of actually realized flights by helicopter center LLC«Helidrive» which took part in pilot project.…”
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Human and Machine: A View through Kant's Use of Regulative Reason by Ümit Taştan

“…Through Kant’s use of regulative reason, we consider that the human mind, by bringing together a set of formal signs, makes a limitation such as a formal system. Since we can conceptualize a unity such as a formal system, we can discuss algorithms that operate according to this system. …”
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A Review of Factors Affecting Radiation Dose and Image Quality in Coronary CTA Performed with Wide-Detector CT by Yihan Fan, Tian Qin, Qingting Sun, Mengting Wang, Baohui Liang

“…This paper systematically summarizes wide-detector CT hardware configurations of various vendors routinely used for CCTA examinations and reviews the effects of patient heart rate and heart rate variability, scanning modality, reconstruction algorithms, tube voltage, and scanning field of view on image quality and radiation dose. …”
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Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry by Raziye Kılıç Sarıgül, Burak Erkayman, Bilal Usanmaz

“…To solve this problem, both supervised and unsupervised learning algorithms were applied. First, unsupervised clustering algorithms were used to group the shipment performance based on similarities. …”
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Dynamic pricing with waiting and price-anticipating customers by Fabian Lange, Rainer Schlosser

“…In this work, we show how to use RL algorithms to optimize prices in the presence of different types of strategic customers that may wait and time their buying decisions. …”
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Person Recognition from Gait Analysis for Smart Spaces by using MLP-based DNN model by Cüneyt Yücelbaş

“…It is seen that deep learning-based algorithms, which can provide fast and high-accuracy results with many data, will be an integral part of this sector in the future as they are today. …”
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A model for predicting academic performance on standardised tests for lagging regions based on machine learning and Shapley additive explanations by Mario Suaza-Medina, Rita Peñabaena-Niebles, Maria Jubiz-Diaz

“…Abstract Data are becoming more important in education since they allow for the analysis and prediction of future behaviour to improve academic performance and quality at educational institutions. …”
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Chapter 5: Network biology approach to complex diseases. by Dong-Yeon Cho, Yoo-Ah Kim, Teresa M Przytycka

“…Uncovering the molecular pathways through which genetic factors affect a phenotype is always difficult, but in the case of complex diseases this is further complicated since genetic factors in affected individuals might be different. …”
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