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Letteratura scientifica selezionata sul tema "Internet narxi"

Autore: Grafiati

Pubblicato: 7 giugno 2025

Ultima modifica: 2 agosto 2025

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Articoli di riviste sul tema "Internet narxi"

1

Azimov, Shahriyor. "O'zbekistonda Mobil texnologiyalarning rivojlanishi." Journal of Science-Innovative Research in Uzbekistan 3, no. 5 (2025): 126–19. https://doi.org/10.5281/zenodo.15382505.

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Ushbu maqolada O‘zbekistonda mobil aloqa texnologiyalarining rivojlanish jarayoni, ularning ijtimoiy va iqtisodiy hayotdagi afzalliklari hamda duch kelinayotgan to‘siqlar tahlil qilingan. Statistikaning real ko‘rsatkichlari asosida texnologik infratuzilmaning qamrovi, xizmat sifati, internet narxlari, foydalanuvchilar soni va raqamli savodxonlik darajalari yoritilgan. Shuningdek, muammolarni bartaraf etish uchun zarur strategik takliflar berilgan.

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2

Eldin Mustafa Abdelaziz, Ala Adin Baha, Ka Fei Thang, and Jacqueline Lukose. "Electric Load Forecasting with Deep Machine Learning." Journal of Computational and Theoretical Nanoscience 16, no. 8 (2019): 3404–9. http://dx.doi.org/10.1166/jctn.2019.8300.

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The most commonly used form of energy in houses, factories, buildings and agriculture is the electrical energy, however, in recent years, there has been an increase in electrical energy demand due to technology advancements and rise in population, therefore an appropriated forecasting system must be developed to predict these demands as accurately as possible. For this purpose, five models were selected, they are Bidirectional-Long Short Term Memory (Bi-LSTM), Feed Forward Neural Network (FFNN), Long Short Term Memory (LSTM), Nonlinear Auto Regressive network with eXogenous inputs (NARX) and M

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3

Gershon, Ilana. "On the Internet, Everyone Knows You're a Dog.A Review Essay." Comparative Studies in Society and History 53, no. 4 (2011): 997–1007. http://dx.doi.org/10.1017/s001041751100048x.

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Ethnographers of new media face a challenge nowadays because they write about technologies people love to discuss and about which journalists love to write. They often find themselves writing against myths about digital media users that other digital media scholars, journalists, and even people interviewed hold in common. In the first decade of Internet research, skeptical scholars often wrote against assumptions about how social practices in virtual spaces differed from offline practices (see Dibbell 1998; Turkle 1995; Stone 1996). They were critiquing many of the premises that accompany an u

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4

Abdellah, Ali R., Omar Abdulkareem Mahmood, Ruslan Kirichek, Alexander Paramonov, and Andrey Koucheryavy. "Machine Learning Algorithm for Delay Prediction in IoT and Tactile Internet." Future Internet 13, no. 12 (2021): 304. http://dx.doi.org/10.3390/fi13120304.

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The next-generation cellular systems, including fifth-generation cellular systems (5G), are empowered with the recent advances in artificial intelligence (AI) and other recent paradigms. The internet of things (IoT) and the tactile internet are paradigms that can be empowered with AI solutions and integrated with 5G systems to deliver novel services that impact the future. Machine learning technologies (ML) can understand examples of nonlinearity from the environment and are suitable for network traffic prediction. Network traffic prediction is one of the most active research areas that integr

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5

Natsheh, Emad, and Sufyan Samara. "Tree Search Fuzzy NARX Neural Network Fault Detection Technique for PV Systems with IoT Support." Electronics 9, no. 7 (2020): 1087. http://dx.doi.org/10.3390/electronics9071087.

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The photovoltaic (PV) panel’s output energy depends on many factors. As they are becoming the leading alternative energy source, it is essential to get the best out of them. Although the main factor for maximizing energy production is proportional to the amount of solar radiation reaching the photovoltaic panel surface, other factors, such as temperature and shading, influence them negatively. Moreover, being installed in a dynamic and frequently harsh environment causes a set of reasons for faults, defects, and irregular operations. Any irregular operation should be recognized and classified

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Song, Chenyang, and Zhipeng Wu. "Artificial Intelligence-Assisted RFID Tag-Integrated Multi-Sensor for Quality Assessment and Sensing." Sensors 24, no. 6 (2024): 1813. http://dx.doi.org/10.3390/s24061813.

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Radio frequency identification (RFID) is well known as an identification, track, and trace approach and is considered to be the key physical layer technology for the industrial internet of things (IIoT). However, IIoT systems have to introduce additional complex sensor networks for pervasive monitoring, and there are still challenges related to item-level sensing and data recording. To overcome the shortage, this work proposes an artificial intelligence (AI)-assisted RFID-based multi-sensing technology. Both passive and semi-passive RFID tag-integrated multi-sensors are developed. The main con

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7

Susilawati, Erna. "PENERAPAN STRATEGI PROMOSI MELALUI MEDIA SOSIAL TIKTOK PADA UMKM BINAAN KADIN KOTA BANDUNG." JURNAL PENGABDIAN KEPADA MASYARAKAT (ADI DHARMA) 2, no. 2 (2024): 112–19. http://dx.doi.org/10.58268/adidharma.v2i2.67.

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Pertumbuhan ekonomi dunia mulai menggeliat pasca Pandemic Covid-19. Keberadaan internet dan perkembangan teknologi yang semakin canggih juga memberikan dampak signifikan pada perkembangan dan pertumbuhan ekonomi dunia. Salah satunya Media social yang sekarnag dipergunakan bukan hanya sebagai alat komunikasi namun juga dipergunakan sebagai alat promosi. Media social yang banyak diminati oleh masyarakat dari berbagai kalangan usia, menjadikannya sebagai platform yang sangat menguntungkan untuk mempromosikan barang/jasa. Banyaknya follower atau viewer pada salah satu aplikasi media sosial akan be

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8

Le, Hoang H., Martin J. Loomes, and Rui CV Loureiro. "AI enhanced collaborative human-machine interactions for home-based telerehabilitation." Journal of Rehabilitation and Assistive Technologies Engineering 10 (January 2023): 205566832311567. http://dx.doi.org/10.1177/20556683231156788.

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The use of robots in a telerehabilitation paradigm could facilitate the delivery of rehabilitation on demand while reducing transportation time and cost. As a result, it helps to motivate patients to exercise frequently in a more comfortable home environment. However, for such a paradigm to work, it is essential that the robustness of the system is not compromised due to network latency, jitter, and delay of the internet. This paper proposes a solution to data loss compensation to maintain the quality of the interaction between the user and the system. Data collected from a well-defined collab

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9

Zhao, Huijun, Chong Shen, Huiliang Cao, et al. "Seamless Micro-Electro-Mechanical System-Inertial Navigation System/Polarization Compass Navigation Method with Data and Model Dual-Driven Approach." Micromachines 15, no. 2 (2024): 237. http://dx.doi.org/10.3390/mi15020237.

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The integration of micro-electro-mechanical system–inertial navigation systems (MEMS-INSs) with other autonomous navigation sensors, such as polarization compasses (PCs) and geomagnetic compasses, has been widely used to improve the navigation accuracy and reliability of vehicles in Internet of Things (IoT) applications. However, a MEMS-INS/PC integrated navigation system suffers from cumulative errors and time-varying measurement noise covariance in unknown, complex occlusion, and dynamic environments. To overcome these problems and improve the integrated navigation system’s performance, a du

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10

Rabin, R. S., and V. Stewart. "Dual response regulators (NarL and NarP) interact with dual sensors (NarX and NarQ) to control nitrate- and nitrite-regulated gene expression in Escherichia coli K-12." Journal of Bacteriology 175, no. 11 (1993): 3259–68. http://dx.doi.org/10.1128/jb.175.11.3259-3268.1993.

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Più fonti

Libri sul tema "Internet narxi"

1

He, Shangli. Tan xun Na ren gu qian xi lu: Tanxun naren guqianxilu. Min zu chu ban she, 2016.

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Capitoli di libri sul tema "Internet narxi"

1

Benvenuti, Martina, Elvis Mazzoni, and Gioele Piobbico. "Being Online in Emerging Adulthood." In Internet and Technology Addiction. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8900-6.ch032.

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Internet revolutionized our lifestyle. New generation devices like smartphones and tablets allow us to be always connected: the web represents a significant part of our days. These epochal changes bring with them questions about the potentialities and the risks of web 2.0. This chapter introduces a research whose purpose is to investigate the relationships between Online and Offline lives in Emerging Adulthood. Starting by the concept of functional organ (Leont'ev, 1972) and inverse instrumentality (Ekbia & Nardi, 2012), the goal of the study is to go beyond the research on web addiction,

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2

Benvenuti, Martina, Elvis Mazzoni, and Gioele Piobbico. "Being Online in Emerging Adulthood." In Identity, Sexuality, and Relationships among Emerging Adults in the Digital Age. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1856-3.ch014.

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Abstract (sommario):

Internet revolutionized our lifestyle. New generation devices like smartphones and tablets allow us to be always connected: the web represents a significant part of our days. These epochal changes bring with them questions about the potentialities and the risks of web 2.0. This chapter introduces a research whose purpose is to investigate the relationships between Online and Offline lives in Emerging Adulthood. Starting by the concept of functional organ (Leont'ev, 1972) and inverse instrumentality (Ekbia & Nardi, 2012), the goal of the study is to go beyond the research on web addiction,

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3

Benvenuti, Martina, Elvis Mazzoni, and Gioele Piobbico. "Being Online in Emerging Adulthood." In Multigenerational Online Behavior and Media Use. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7909-0.ch075.

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Abstract (sommario):

Internet revolutionized our lifestyle. New generation devices like smartphones and tablets allow us to be always connected: the web represents a significant part of our days. These epochal changes bring with them questions about the potentialities and the risks of web 2.0. This chapter introduces a research whose purpose is to investigate the relationships between Online and Offline lives in Emerging Adulthood. Starting by the concept of functional organ (Leont'ev, 1972) and inverse instrumentality (Ekbia & Nardi, 2012), the goal of the study is to go beyond the research on web addiction,

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4

Tudoroiu, Roxana-Elena, Mohammed Zaheeruddin, Nicolae Tudoroiu, Sorin Mihai Radu, and Hana Chammas. "Investigations of Different Approaches for Controlling the Speed of an Electric Motor with Nonlinear Dynamics Powered by a Li-ion battery - Case study." In Electric Vehicles - Design, Modelling and Simulation [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112383.

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This research investigated different nonlinear models, state estimation techniques and control strategies applied to rechargeable Li-ion batteries and electric motors powered and adapted to these batteries. The finality of these investigations was achieved by finding the most suitable design approach for the real-time implementation of the most advanced state estimators based on intelligent neural networks and neural control strategies. For performance comparison purposes, was chosen as case study an accurate and robust EKF state of charge (SOC) estimator built on a simple second-order RC equi

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Atti di convegni sul tema "Internet narxi"

1

Chen, Jinwei, Huisheng Zhang, and Shilie Weng. "Study on Nonlinear Identification SOFC Temperature Model Based on Particle Swarm Optimization-Least Squares Support Vector Regression." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56236.

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A nonlinear autoregressive network with exogenous inputs (NARX) identification model is employed for predicting the Solid oxide fuel cell (SOFC) operating temperature dynamics fast and accurately in a Solid oxide fuel cell–gas turbine (SOFC-GT) hybrid system. At the same time, the least squares support vector regression (LSSVR) method with radial basis kernel function (RBF) which uses particle swarm optimization (PSO) to optimize the LSSVR’s parameters is applied to establish the NARX model. The major factors which affect the cathode and anode outlet temperature of the SOFC-GT hybrid system ar

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2

Asgari, Hamid, and Emmanuel Ory. "Prediction of Dynamic Behavior of a Single Shaft Gas Turbine Using NARX Models." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-58960.

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Abstract Gas turbines are internal combustion engines widely used in industry as main source of power for aircrafts, turbo-generators, turbo-pumps and turbo-compressors. Modelling these engines can help to improve their design and manufacturing processes, as well as to facilitate their operability and maintenance. These eventually lead to manufacturing of gas turbines with lower costs and higher efficiency at the same time. The models may also be employed to unfold nonlinear dynamics of these systems. The aim of this study is to predict the dynamic behavior of a single shaft gas turbine by usi

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3

Cheng, Ankang, and Ying Min Low. "Data-Driven Modeling of Long-Term Riser Response to Irregular Waves Considering Wave Directionality." In ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-102807.

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Abstract Prediction of riser response to irregular waves has long been of industrial interest. But numerical simulation is often time consuming due to system nonlinearity and excitation stochasticity, especially in the context of reliability assessment where tons of repetitions are targeted. In this regard, data-driven modelling techniques have been proposed and applied by many researchers in the past decades. However, most established surrogate models were constructed in essence for single sea states and require vessel motions or their derivatives for input. These facts preclude them from ful

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4

Singh, Prabhsharn, Ujval Thakare, and Umesh Hivarkar. "Dynamic Modeling of Torque & Emissions: Digital Twin to Simulate Combustion Process and Exhaust Emissions for Diagnostics & Prognostics Applications." In 11th SAEINDIA International Mobility Conference (SIIMC 2024). SAE International, 2024. https://doi.org/10.4271/2024-28-0172.

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<div class="section abstract"><div class="htmlview paragraph">As a journey to green initiatives, one of the focus areas for automotive industry is reducing environmental impact especially in case of internal combustion engines. Latest digital twin technology enable modelling complicated, fast and unsteady phenomena including the changes of emission gases concentration and output torque observed during diesel emission and combustion process. This paper presents research on the emission and combustion characteristics of a heavy vehicle diesel engine, elaborating an engineered archite

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