Efficient Short-Term Wind Power Prediction Using a Novel Hybrid Machine Learning Model: LOFVT-OVMD-INGO-LSSVR by Zhouning Wei, Duo Zhao

“…The prediction model is sensitive to outliers and sudden changes in input historical meteorological data, which may significantly affect the robustness of the WPF model. …”
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Hierarchical proxy consensus optimization for IoV based on blockchain and trust value by Baoqin ZHAI, Jian WANG, Lei HAN, Jiqiang LIU, Jiahao HE, Tianhao LIU

“…With the rapid development of Internet of vehicles, 5G and artificial intelligence technologies, intelligent transportation has become the development trend of transportation technology.As a vehicle-vehicle and vehicle-road information interaction platform, the Internet of vehicles is the basic support platform for intelligent traffic information sharing and processing.At the same time, the security of Internet of vehicles has attracted much attention, especially data security which may cause user privacy leakage.The blockchain technology has become a solution, but it still faces new challenges in efficiency, security and other aspects.With the increase of vehicle nodes and information, how to efficiently achieve information consensus in high-speed vehicle moving environment has become a key problem.Then a bottom-up RSU (road side unit) chain consensus protocol was proposed based on blockchain and trust value.Several typical consensus structures were compared, and bottom-up two-layer consensus structure was adopted according to the actual scenarios of the Internet of vehicles.Moreover, a group leader node election algorithm was proposed which is based on node participation, work completion and message value.The system security was ensured by assigning trust value to each vehicle.Following the consensus structure and algorithm work mentioned above, the specific process of the protocol was comprehensively described, which was divided into six steps: region division, group leader node selection, local consensus, leader primary node selection, global consensus, and intra-domain broadcast.Then the experiments were analyzed from four aspects: security, communication complexity, consensus algorithm delay and fault tolerance rate.Experiments showed that, compared with other schemes, the proposed protocol can effectively reduce communication complexity and shorten consensus delay under the condition of resisting conspiracy attack, witch attack and other attacks.On the premise of security, the protocol improves fault tolerance rate and enables more nodes to participate in information sharing to satisfy the requirements of Internet of vehicles scenarios.…”
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Constrained search space selection based optimization approach for enhanced reduced order approximation of interconnected power system models by Bala Bhaskar Duddeti, Asim Kumar Naskar, V. P. Meena, Jitendra Bahadur, Ibrahim A. Hameed

“…The incorrect selection of suitable boundaries for each unknown decision variable may result in an inaccurate or unstable reduced model. …”
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KEY COMPETENCE AS A BASIS FOR INNOVATION PROJECTS MANAGEMENT by Lyudmyla Chernova

“…By the implementing an enterprise development program, the existing key competence of the organization may undergo significant changes.  Also introducing innovations, you can get not only benefits, but additional problems and even risks.  …”
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Object Query Computing Optimization in the Dynamic Information Model DIM by V. S. Roublev

“…Solutions of this problem may be taken as a basis for the development of a query compiler.…”
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LEFT-SIDED TRAUMATIC DIAPHRAGMATIC INJURIES by Ivan Novakov

“…Traumatic diaphragmatic injuries may result from either penetrating or blunt trauma, usually of the lower chest or upper abdomen. …”
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AN INTERDISCIPLINARY APPROACH TO TREATMENT OF TEMPOROMANDIBULAR PAIN-DYSFUNCTION SYNDROME AGAINST THE BACKDROP OF CERVICAL OSTEOCHONDROSIS. by V.L. Melnik, V.K. Shevchenko

“…With headturning set of symptoms may increase and sharp movement often leads to loss of consciousness. …”
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Optimizing a Personalized Health Approach for Virtually Treating High-Risk Caregivers of Children With Neurogenetic Conditions (Project WellCAST): Protocol for a Randomized Control... by Bridgette Kelleher, Kaleb Emerson, Lyndsey N Graham, Veronika Vozka, Anne Wheeler, William Fadel, Daniel Foti, Isha Metzger, Mandy Rispoli, Wendy Machalicek, Laurie McLay, Sean Lane, Wei Siong Neo, Allie Carter, Lisa Brown, Jennifer Brown, Laura Lee McIntyre, Elizabeth Salwitz, Gloria Dietz, Riley Naughton, Katlyn Peek, Nicole Hollins, Emma Woodford

“…Tele–mental health and parenting support services expanded rapidly in response to the COVID-19 pandemic and may be well suited to facilitate necessary support interventions for NGC caregivers. …”
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Cultural intelligence and inclusive leadership in a diverse IT sector: a framework for effective collaboration by Камрун Нахар, Омар Фарук, Захир Райхан

“…In the wrong hands, variety may cause conflict, misunderstanding, and time loss. …”
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Routization Problem Complicated by the Dependence of Costs Functions and «Current» Restrictions From the Tasks List by A. G Chentsov, A. A. Chentsov

“…The costs of movements and jobs executed when visiting megalopolises may depend on the list of tacks. This list may correspond to performed or unperformed tasks. ”Current” restrictions (on movements) may depend on the aforementioned list of tasks. …”
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Pengembangan Algoritma Manajemen Risiko Proyek Konstruksi by Mutiara Yetrina

“…This study discusses the development of algorithms for project evaluation and risk management. …”
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Fitness & Sports Medicine by Kölling S, Kellmann M, 2

“…Digital and automatic processing of the data may reduce participant burden, while control over the algorithm and inferences should be maintained by human beings.In essence, psychometric monitoring of the recovery-stress state may serve as supplement to training and regeneration management, provided that the aims and procedures are made transparent, proportionate and reasonable.KEY WORDS: Sport Psychology, Questionnaire, Regeneration…”
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Using a Multivariate Virtual Experiment for Uncertainty Evaluation with Unknown Variance by Manuel Marschall, Finn Hughes, Gerd Wübbeler, Gertjan Kok, Marcel van Dijk, Clemens Elster

“…We extend and formalize a previously published approach for simple additive models to account for a large class of non-linear virtual experiments and measurement models for multidimensionality of the data and output quantities, and for the case of unknown variance of repeated measurements. With the algorithm developed here, a simple procedure for the evaluation of measurement uncertainty is provided that may be applied in various applications that admit a certain structure for their virtual experiment. …”
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Singular-Value-Based Cluster Number Detection Method by Yating Li, Jianghui Cai, Haifeng Yang, Jie Wang, Chenhui Shi, Bo Liang, Xujun Zhao, Yaling Xun

“…The number of larger singular values may correspond to the number of clusters, and their main information may correspond to different clusters. …”
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Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease by Jing Wu, Sebastian M. Waldstein, Alessio Montuoro, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth

“…We propose a fully automated fovea detection algorithm to extract the fovea position in SD-OCT volumes of eyes with exudative maculopathy. …”
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Modeling of digital spatial processing under conditions of troposphere propagation of centimeter radio waves for wireless telecommunication by Ilia W. Peshkov, Dmitry N. Borisov

“…In this regard, attenuation may occur when radio rays propagate in a waveguide manner at low altitudes. …”
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Autocorrelation Method for Phased Antenna Array Calibration Based on Far-Field Measurement System by Xuan Luong Nguyen, Nguyen Trong Nhan, Tran Van Thanh, Phung Bao Nguyen

“…To design and investigate a method for calibrating a PAA with high accuracy and low complexity based on an autocorrelation algorithm.Materials and methods. The efficiency of the developed algorithm was estimated using MATLAB/Simulink-based simulation and experimental validation.Results. …”
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Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter by Andrew Lowy, Meisam Razaviyayn

“…Second, we provide the first algorithm to handle non-smooth convex loss functions. …”
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Robust Multi-Sensor Fusion for Localization in Hazardous Environments Using Thermal, LiDAR, and GNSS Data by Lukas Schichler, Karin Festl, Selim Solmaz

“…We propose a robust sensor fusion algorithm that integrates data from a thermal camera, a LiDAR sensor, and a GNSS to provide reliable localization, even in environments where individual sensor data may be compromised. …”
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A Highly Accurate Approach for Aeroelastic System with Hysteresis Nonlinearity by C. C. Cui, S. X. Xie, X. C. Huang, J. K. Liu, Y. M. Chen

“…A major procedure for achieving high precision is to design a predictor-corrector algorithm. This algorithm enables accurate determination of switching points resulting from the hysteresis. …”
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