Sistem Kontrol pada Automated Guided Vehicle Beroda Mekanum menggunakan Sliding Mode Controller by Muhammad Faiz, Bambang Sumantri, Bima Sena Bayu Dewantara

“…This research are using ROS, V-Rep and microcontroller. …”
Get full text

Cystinosis symposium: a rare disease model for comprehensive care by Ashley M. Gefen, Frederick J. Kaskel, Frederick J. Kaskel, Joshua J. Zaritsky

“…The time to provide a forum for collaboration in cystinosis research underscored the recent Cystinosis Symposium: A Rare Disease Model for Comprehensive Care held at the New York Academy of Medicine, on 31 May 2024, an event sponsored by the Cystinosis Research Network and numerous corporate entities (Amgen and others). …”
Get full text

Fractional Stochastic Van der Pol Oscillator with Piecewise Derivatives by Atul Kumar, Khursheed Alam, Mati ur Rahman, Homan Emadifar, Geeta Arora, Ahmed A. Hamoud

“…Despite the simplicity of this oscillator, the behavior of the models is extremely prosperous and research is still ongoing.…”
Get full text

“FLIPPED CLASSROOM” METHOD WITH BYOD-TECHNOLOGY APPLICATION AS A TOOL TO DEVELOP COMMUNICATION SKILLS IN TEACHING FOREIGN LANGUAGES by M. G. MININ, O. I. SHAYKINA

Get full text

Machine Learning G-Code Optimization by Héctor Lasluisa-Naranjo, David Rivas-Lalaleo, Joaquín Vaquero-López, Christian Cruz-Moposita

“…They may contain errors affecting product quality and increasing resource consumption. This research applies the K-means machine learning clustering algorithm to optimize G-code parameters such as extruder and heated bed temperature, deposition speed, and flow control. …”
Get full text

ROLE OF MRI IN THE DIAGNOSIS OF URETERAL OBSTRUCTION IN CANCER PATIENTS (LITERATURE REVIEW) by Y. E. Suraeva

Get full text

«Gastroenterological» rheumatology: differential diagnosis of early arthritis by E. A. Galushko, A. M. Lila

Get full text

Survey of FPGA based recurrent neural network accelerator by Chen GAO, Fan ZHANG

“…Recurrent neural network(RNN) has been used wildly used in machine learning field in recent years,especially in dealing with sequential learning tasks compared with other neural network like CNN.However,RNN and its variants,such as LSTM,GRU and other fully connected networks,have high computational and storage complexity,which makes its inference calculation slow and difficult to be applied in products.On the one hand,traditional computing platforms such as CPU are not suitable for large-scale matrix operation of RNN.On the other hand,the shared memory and global memory of hardware acceleration platform GPU make the power consumption of GPU-based RNN accelerator higher.More and more research has been done on the RNN accelerator of the FPGA in recent years because of its parallel computing and low power consumption performance.An overview of the researches on RNN accelerator based on FPGA in recent years is given.The optimization algorithm of software level and the architecture design of hardware level used in these accelerator are summarized and some future research directions are proposed.…”
Get full text

Sepsis: source control by V. V. Kulabukhov, N. A. Zubareva, P. A. Yartsev

Get full text

Logical Choice Methodology of Factors Involved in Passenger Flow Estimation on a New Dedicated High-Speed Line by V. L. Perepel’Tsev

Get full text

The Design and Implementation of Postprocessing for Depth Map on Real-Time Extraction System by Zhiwei Tang, Bin Li, Huosheng Li, Zheng Xu

Get full text

Computer modelling of coupled spaces: variations of eigenmodes frequency due to a change in coupling area by Mirosław MEISSNER

Get full text

Kidney transplantation and hyperparathyroidism by O. N. Vetchinnikova

Get full text

Unveiling the economic potential of sports industry in China: A data driven analysis. by Haishan Liu

“…The article explains the economic dynamics of the sports industry with adoption of deep learning algorithms and data mining methodology. Despite outstanding improvements in research of sports industry, a significant gap prevails with regard to proper quantification of economic benefits of this industry. …”
Get full text

Modeling of regasification and recirculation processes during the transportation of liquefied natural gas by A. Yu. Baranov, E. S. Seredenko, T. A. Malysheva, Yu. A. Kravchenko

“…Objective. The purpose of the research is modeling and analysis of technological processes occurring at the transshipment terminal of liquefied natural gas.Method. …”
Get full text

A model of unsteady mechanodiffusion vibrations of a rectangular orthotropic Timoshenko plate with mixed edge fixing by Zemskov Andrei, Vestyak Anatoly, Tarlakovskii Dmitry

Get full text

Model Predictive Excitation Controller for Synchronous Condenser Coordinated With Wind Farms in Sending-End System by Lingfeng Zheng, Yongzhi Zhou, Hongda Cai, Xiaoming Liu, Donglei Sun

Get full text

A NEW APPROACH TO SOLVING GENERAL ANAESTHESIA INDIVIDUALIZATION PROBLEM DURING SURGICAL OPERATIONS WITH CARDIOPULMONARY BYPASS by V. M. Magilevets, V. V. Firsov, V. M. Zaiko, I. A. Kozlov

“…The computerized system to control depth of anesthesia during surgical operation was developed in our research center. The depth of anesthesia is regulated by controlled intravenous infusion of propofol. …”
Get full text

Energy Management Considering Energy Storage and Demand Response for Smart Energy Hub in Internet of Things by Jinyong Lei, Changcheng Zhou, Xiaolin Li, Andi Huang, Hao Bai, Zhiyong Yuan, Linjie Zhou

Get full text

Application of GPR Underground Pipeline Detection Technology in Urban Complex Geological Environments by Xiaoqiang Liang, Da Hu, Yongsuo Li, Yunyi Zhang, Xian Yang

“…To address different kinds of complex conditions, this experiment in the present paper takes ground penetrating radar as the research basis and uses a self-correction and screening algorithm to innovatively detect underground pipelines. …”
Get full text