Active control or passive control? (Outline of active noise control and it's application to practical problems) by Ken'iti KIDO

“…This paper concentrates the technology using FIR filter, and the renewal algorithm of the coefficients of FIR adaptive filter is shown in unified form. …”
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Treatment for rheumatic polymyalgia by Azamat Makhmudovich Satybaldyev

“…The role of nonsteroidal anti-inflammatory drugs in the treatment of RP is also evaluated. An algorithm is proposed for the management of a patient with RP.…”
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Ultra-Short-Term Forecasting-Based Optimization for Proactive Home Energy Management by Siqi Liu, Zhiyuan Xie, Zhengwei Hu, Kaisa Zhang, Weidong Gao, Xuewen Liu

“…This study proposes a ultra-short-term forecasting-driven proactive energy consumption optimization strategy that integrates advanced forecasting models with multi-objective scheduling algorithms. By leveraging deep learning techniques like Graph Attention Network (GAT) architectures, the system predicts ultra-short-term household load profiles with high accuracy, addressing the volatility of residential energy use. …”
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Online Identification of Mathematical Model of Circular Plate for Vibration Cancellation by Paweł KOS

“…In this paper the ARX model structure and algorithm called online identification have been considered. …”
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A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning by Jian Sun, Jie Li

“…For avoiding a large number of trials and improving the stability, the training of action network introduces supervised learning mechanisms into reduction of long-term cost. The stability of the control system with learning algorithm is analyzed; the upper bound of the tracking error and neural network weights are also estimated. …”
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Perspectives of Second-Order Blind Identification for Operational Modal Analysis of Civil Structures by C. Rainieri

“…These represent key issues in view of the automation of the algorithm and its integration within vibration-based monitoring systems. …”
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An Intelligent Hybrid Framework for Threat Pre-Identification and Secure Key Distribution in Zigbee-Enabled IoT Networks Using RBF and Blockchain by Bhukya Padma, Mahipal Bukya, Ujjwal Ujjwal

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Application of DE-RF and Fuzzy Model in Camber Control of Hot Rolled Strip by WEI Zhipeng, CUI Guimei, PI Lixiang, LI Tianhao

“… In order to solve the problem of slab bending affecting strip quality in 2250mm hot strip rolling process, a method based on data fusion and expert experience is proposed to apply to slab bending control system.Firstly, the differential evolution algorithm is established to optimize the stochastic forest regression model to solve the problem of insufficient accuracy of slab detection lag prediction.The model can effectively predict the bending value of the slab at the exit of the third pass roughing mill, and the estimated error is 96.3% of the slab within the allowable range.Then a fuzzy model is established according to the expert experience and data to solve the manual operation uncertainty problem.The model gets the roll slit tilt value twice respectively, and the experimental results show that the calculated value of the fuzzy model has a small error compared to the actual value and it can provide the roll gap tilt value reliably.Finally, the two roll gap tilt values are added together as the second roll gap tilt value. …”
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Fog Study at Ardabil Airport for the Statistical Period From 2011 to 2020 by Razieh Pahlavan, Mohammad Moradi, Sahar Tajbakhsh, Majid Azadi, Mehdi Rahnama

“…Climatology of fog can help better diagnosis and prediction of fog. In this study, METAR data from 2011 to 2020 were used to detect fog events at Ardebil Airport and according to the classification algorithm of Tardif and Rasmussen (2007), the types of events were determined. …”
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Ray-Tracing method for fields of view simulation in agricultural and forestry vehicles by Lorenzo Landi, Luca Burattini, Maurizio Cutini, Leonardo Vita, Luca Landi

“…In this paper, a virtual prediction method of the field of view for a tractor is analyzed using a rendering based on the Ray-Tracing algorithm. …”
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Assimilating Summer Sea‐Ice Thickness Observations Improves Arctic Sea‐Ice Forecast by Ruizhe Song, Longjiang Mu, Svetlana N. Loza, Frank Kauker, Xianyao Chen

“…The long‐term Arctic‐wide SIT prediction is also improved. In spite of remaining uncertainties, summer CryoSat‐2 SIT observations have the potential to improve Arctic sea‐ice forecast on multiple time scales.…”
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Geographical Peer Matching for P2P Energy Sharing by Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou, Ralf Klasing

“…Significant cost reductions attract ever more households to invest in small-scale renewable electricity generation and storage. …”
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Complex Therapy for Intraoperative Blood Loss during Pelvic Bone Repair by Z. G. Marutyan, Yu. V Nikiforov, A. B. Kazantsev, A. A. Ter-Grigoryan

“…Objective: to introduce blood saving technologies and to develop algorithms for management of patients with pelvic fractures. …”
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Student initiative in international projects on preventive cardiology. by T. A. Khomazyuk, V. Yu. Krotova, Н. A. Kosova, M. G. Kirichko

“…Professional socialization is the ultimate link in the professional way of the individual. The algorithm of professional socialization of students in higher education consists of the following stages: professional orientation → professional development → professional adaptation → professional becoming → professional socialization. …”
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A Novel Detrended Fluctuation Analysis Method for Gear Fault Diagnosis Based on Variational Mode Decomposition by Sinian Hu, Han Xiao, Cancan Yi

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The impact of presentation modes on mental rotation processing: a comparative analysis of eye movements and performance by Philipp Stark, Efe Bozkir, Weronika Sójka, Markus Huff, Enkelejda Kasneci, Richard Göllner

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Application of artificial neural networks in the drilling processes: Can equivalent circulation density be estimated prior to drilling? by Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman, David Lian

“…The goal of this work was to predict ECD prior to drilling by using artificial neural network (ANN). …”
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Capturing spatiotemporal variation in salt marsh belowground biomass, a key resilience metric, through geoinformatics by Kyle D. Runion, Deepak R. Mishra, Merryl Alber, Mark A. Lever, Jessica L. O'Connell

“…This reflects both an improvement in predictive performance and an expansion in conditions for potential model application. …”
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Unravelling the importance of spatial and temporal resolutions in modeling urban air pollution using a machine learning approach by Alireza Zhalehdoost, Mohammad Taleai

“…Among the evaluated algorithms, MLP consistently achieves the highest predictive accuracy across both temporal and spatial scenarios. …”
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Neural Network Optimization of Mechanical Properties of ABS-like Photopolymer Utilizing Stereolithography (SLA) 3D Printing by Abdulkader Ali Abdulkader Kadauw

“…This approach uses machine learning algorithms to analyze and predict the relationships between various printing parameters and the resulting mechanical properties, thereby allowing the engineering of better materials specifically designed for targeted applications. …”
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