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共 2074 条记录，以下是131-140 订阅

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Forecasting international migration in Kazakhstan using ARIMA models 14

Forecasting international migration in Kazakhstan using ARIM...

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14th international conference on Emerging Ubiquitous systems and Pervasive networks / 13th international conference on Current and Future Trends of Information and communication Technologies in Healthcare, EUSPN/ICth 2023

作者： Tolesh, Fariza Biloshchytska, Svitlana Astana IT University Mangilik El Block C1 Astana010000 Kazakhstan

this research article aims to forecast international migration in Kazakhstan until 2060. international migration is a critical determinant in shaping the demographic composition of a country and may have significant socio-economic and political effects. Forecasting migration is a complex research task due to the multidimensional and uncertain nature of migration. Kazakhstan has exhibited dynamic patterns of international migration since gaining independence, making forecasting a challenging task. this study uses flow data from the Bureau of National Statistics from 1991 to 2020 to analyze the specifics of migration processes in Kazakhstan and generate migration forecasts using ARIMA and Brown models. the results of this research could aid policymakers in developing effective migration policies to mitigate the potential negative impacts of migration and maximize its benefits. © 2024 Elsevier B.V.. All rights reserved.

关键词： Forecasting

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the Role of Sentiment Analysis in Brand Management and Marketing: A Comparative Study 15

The Role of Sentiment Analysis in Brand Management and Marke...

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15th international conference on Emerging Ubiquitous systems and Pervasive networks / 14th international conference on Current and Future Trends of Information and communication Technologies in Healthcare, EUSPN/ICth 2024

作者： Selimovic, Mirza Almisreb, Ali Abd Amanzholova, Salue International Univerity of Sarajevo Hrasnicka cesta 15 Ilidza71210 Bosnia and Herzegovina International Information Technology University Manas St. 34/1 Almaty050000 Kazakhstan

In this article we try to focus on the concept of sentiment analysis and how it is applied in day-to-day brand management and marketing processes. through analyzing customers' postures in social media, organizations can determine the total impression customers have regarding their productions and services. this information is pivotal in defining marketing strategies, enhancing customer relations, and fine-tuning commodities to achieve optimal satisfaction among consumers. Using the reviews from 20,000 hotels on TripAdvisor, we show our approach to sentiment analysis in practice. Several methods, Support Vector Machine (SVM), Naive Bayes (NB), Recurrent Neural networks (RNNs), Long Short-Term Memory networks (LSTMs), and their combination were considered for the sentiment classification task. this study underscores how processing and responding to customer feedback can significantly enhance customer satisfaction and loyalty, leading to better business outcomes. © 2024 the Authors.

关键词： Sales

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Design of Satellite Network Simulation Platform Supporting Distributed Controller 14th

Design of Satellite Network Simulation Platform Supporting D...

引用

14th EAI international conference on Wireless and Satellite systems, WiSATS 2024

作者： Lu, Haoxuan Li, Dezhi Wang, Zhenyong School of Electronics and Information Harbin Institute of Technology Harbin China Songjiang Laboratory Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9783031861956

Satellite networks, integral to future communication, benefit from SDN’s advantages. Combining SDN with satellite networks, especially leveraging distributed controllers, shows promise. To facilitate research, we propose a simulation platform. Integrating STK, Containernet, Docker, and ONOS, it supports scenario and topology simulation and distributed control. Python scripts drive STK for scenario creation, Containernet for SDN network setup, and ONOS for controller functionality. Tests validate platform efficacy, showcasing ONOS’s robustness and Docker node compatibility. this platform fosters satellite network research with scalability and practical applicability. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Satellite communication systems

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Reassessing Glove Embeddings in Deep Learning: A Comparative Study with Classical ML Approaches 15

Reassessing Glove Embeddings in Deep Learning: A Comparative...

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作者： Labd, Zakia Bahassine, Said Housni, Khalid Aadi, Fatima Zahrae Aithamou Laboratory of research in informatics LatRI Department of Computer Science Faculty of Sciences Ibn Tofail University Kenitra Morocco Laboratory of Artificial Intelligence and Complex Systems Engineering Department of Computer Science National Higher School of Arts and Crafts Hassan II University Casablanca Morocco

the importance of text classification algorithms has increased due to the growing availability of large-scale data. this has led to a greater demand for efficient classification techniques and encoding algorithms. Word embedding techniques, like Glove, have shown significant success in encoding semantic relationships between words. this research paper aims to reassess the effectiveness of Glove embeddings coupled with deep learning algorithms. the impact of Glove embedding on two widely used deep learning models: Recurrent Neural networks (RNN) and Recurrent Convolutional Neural networks (RCNN) is analyzed. the results highlight the impact of Glove embeddings on deep learning models, showcasing significant performance enhancements in some cases while having minimal effects in others. By examining the impact of Glove embeddings on traditional ML algorithms in a previous study, valuable context for understanding the performance differences between the two approaches is obtained. © 2024 the Authors. Published by Elsevier B.V.

关键词： Convolutional neural networks

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Event-Triggered Control for Human-in-the-Loop Multi-agent systems under DoS Attacks 14

Event-Triggered Control for Human-in-the-Loop Multi-agent Sy...

引用

14th international conference on Information Science and Technology, ICIST 2024

作者： Xu, Yuanyuan Liu, Kai Liang, Hongjing Li, Tieshan Long, Yue Liu, Qidong Yang, Ximing Hang, Zongsheng School of Automation Engineering University of Electronic Science and Technology of China Chengdu China The College of Engineering China University of Petroleum-Beijing at Karamay Karamay China College of Engineering China University of Petroleum-Beijing at Karamay Karamay China

ISBN: (纸本)9798350353334

this paper introduces an event-triggered secure control scheme for human-in-the-loop multi-agent systems in the context of DoS attacks. the integration of human intelligence and decision-making significantly enhances system security, as a human provides command signals to a non-autonomous leader agent. To determine unknown states, an adaptive neural state observer utilizes neural networks to approximate nonlinear functions, while a relative threshold-based event-triggered con-trol strategy is introduced to optimize communication resource usage. At the same time, a predictor is developed to monitor potential compromises in the edges of the multi-agent network to counteract attacks. Using Lyapunov analysis, it is shown that the proposed secure control protocol is capable of maintaining bounded closed-loop signals despite the occurrence of attacks. Finally, the effectiveness of the proposed scheme is validated by the simulation results. © 2024 IEEE.

关键词： Multi agent systems

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ICUFN 2023 - 14th international conference on Ubiquitous and Future networks

ICUFN 2023 - 14th International Conference on Ubiquitous and...

引用

14th international conference on Ubiquitous and Future networks, ICUFN 2023

ISBN: (纸本)9798350335385

the proceedings contain 206 papers. the topics discussed include: cooperative beam selection based on fingerprint database using user types in unmanned aerial vehicle supported systems;real-time pill identification with prescription confirmation using deep learning on embedded system;transmit antenna selection using CNN-based multiclass classification with linear interpolation of wideband channels;coverage probability analysis of LEO satellite communication systems with directional beamforming;a new congestion-based congestion control for low latency and low packet drop rate;partial-information multiple access protocol for orthogonal transmissions;uplink time constrained federated learning over wireless networks;ingredient detection, title and recipe retrieval from food images;deep learning-based network slice recognition;a robust aggregation approach for heterogeneous federated learning;and how reliable are the deep learning-based anomaly detectors? a comprehensive reliability analysis of autoencoder-based anomaly detectors.

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SARSA-Based Voltage Regulation of PV-Buck Converter System Under Multi-Nature Load Conditions 14

SARSA-Based Voltage Regulation of PV-Buck Converter System U...

引用

14th IEEE international conference on communication systems and Network Technologies, CSNT 2025

作者： Maurya, Rinki Srivastava, Ankit Nishad, Dashrath Singh, Ashutosh Kumar Electronics & Communication Department IIIT Allahabad India

ISBN: (纸本)9798331531935

DC microgrids are experiencing rapid evolution due to increasing renewable energy integration and diverse load requirements, necessitating advanced control strategies for stable operation. this paper presents a novel voltage regulation approach utilizing policy gradient reinforcement learning with SARSA algorithm for a PV-fed buck converter system. the proposed methodology addresses the complex dynamics of multiple load types through a hierarchical control framework that combines actor-critic networks for continuous control actions. the control strategy employs a comprehensive seven-parameter state space encompassing voltage error, current measurement, solar irradiance, duty cycle history, voltage dynamics, error integration, and average voltage deviation. the experimental validation employs a buck converter maintaining 48V DC output from a 100V PV source, tested under challenging scenarios including 100W constant power load, 50W pulsed power load, and variable linear load conditions. the results demonstrate significant advantages over traditional PI control: 83% reduction in steady-state error, 75% improvement in voltage stability, and 73% faster load transition response. the controller successfully maintains voltage variations within +-1V across diverse load combinations, effectively addressing the destabilizing effects of constant power loads and sudden pulsed load changes. the integration of policy-based learning with on-policy SARSA implementation enables real-time adaptation without prior system modeling requirements. this approach showcases exceptional performance in both steady-state maintenance and transient response, particularly in scenarios involving mixed load characteristics. the framework provides a robust solution for modern DC microgrid applications requiring stable voltage regulation under complex load dynamics. © 2025 IEEE.

关键词： Transient analysis

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Spectrally Efficient MIMO-OFDM for thz communication in FANETs 14

Spectrally Efficient MIMO-OFDM for THz Communication in FANE...

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14th international conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Nandi, Shovon Nandi, Arnab Pathak, Narendra Nath Bit Department of Electronics and Communication Engineering Kolkata India Nit Silchar Department of Electronics and Communication Engineering Assam India Dr Bcrec Department of Electronics and Communication Engineering Durgapur India

ISBN: (纸本)9798350335095

the primary properties of flying-ad-hoc-networks (FANETs), which are autonomous wireless networks, include high mobility, scalability for various applications, situations, and robustness to handle potential communication failures. they still face a number of limitations, including the restricted flying time of Unmanned aerial vehicles (UAVs) and lower throughput. Because the location of the UAV may be changed in FANET, it is possible to adjust the distance between two nodes and subsequently optimise the capacity of the related connection to increase network throughput. In this study, a simulation model for UAV ad-hoc network is built. Various antenna configurations are examined also. When we utilise up to a certain number of UAVs, the reduced latency makes single input single output (SISO) systems, capable of handling greater data rates. MIMO is shown to boost performance when the number of UAVs in the network surpasses a particular threshold, though. As the system's antenna count increases, its performance improves. the use of MIMO OFDM for terahertz communication in FANET is highlighted. the proposed architecture is built on the Marcov Chain paradigm. We arrive at the formulae for throughput, BER, path loss, and outage probability. When MIMO antennas are configured, the system's overall performance improves as its BER drops and its throughput rises. © 2023 IEEE.

关键词： MIMO systems

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SWIPT MISO Wireless communication System via Intelligent Reflecting Surface 14

SWIPT MISO Wireless Communication System via Intelligent Ref...

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14th international conference on Electrical Engineering (ICEENG)

作者： Elkholy, Enji M. Mehaseb, Mehaseb Ahmed Ibrahim, Fawzy Elmesalawy, Mahmoud M. Misr Int Univ Elect & Commun Engn Fac Engn Cairo Egypt Egypt Acad Engn & Adv Technol Elect & Commun Engn Fac Engn Cairo Egypt Helwan Univ Fac Engn Elect & Commun Engn Cairo Egypt

ISBN: (纸本)9798350343427;9798350343434

Intelligent reflecting surfaces (IRS) have recently received notably attention in the field of wireless communications research. this technology has a unique ability to control the wireless propagation environment, which is not possible in traditional wireless networks. this paper investigates a multiple-input single-output (MISO) IRS-assisted simultaneous wireless information and power transfer (SWIPT) system. this system involves a base station (BS) installed on an unmanned aerial vehicle (UAV) concurrently sends information to information-decoding receivers (IDRs) and transfers energy to energyharvesting receivers (EHRs). Unlike conventional SWIPT systems with fixed transmitters, UAV-mounted BSs can flexibly provide wireless services to ground users in three-dimensional (3D) space. Incorporating UAV and IRS into the SWIPT systems enhances the quality of service (QoS) for IDRs and EHRs. the primary objective of the proposed system is to maximize the weighted sum rate of the IDRs by simultaneously optimizing the phase shifts of the IRS as well as the precoding vectors at the UAV. To achieve this, we propose the utilization of Dinkelbach's algorithm, which allows us to optimize all the variables jointly with an acceptable complexity. the results of the simulation indicate that the deployment of the IRS in the SWIPT system enhances the spectral efficiency of IDRs and the energy efficiency of EHRs compared to the system without IRS. Furthermore, numerical results are provided to assess the performance of our proposed approach in comparison to other design schemes.

关键词： Intelligent reflecting surface (IRS) simultaneous wireless information and power transfer (SWIPT) unmanned aerial vehicle (UAV) Dinkelbach's Algorithm

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Unified Multi-Layered Model To Secure Computing Environments Against Cryptomining Malware 14

Unified Multi-Layered Model To Secure Computing Environments...

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14th international conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Sharma, Rohan Swapna, M.P. Amrita Vishwa Vidyapeetham Amritapuri Center for Cybersecurity Systems and Networks Kollam India

ISBN: (纸本)9798350335095

Cryptocurrencies have transformed our financial system from centralized to decentralized. Cryptojacking is a mechanism by which the attacker utilizes the resources of an anonymous system without the consent of the owner to mine cryptocurrency. Cryptojacking can occur via malware or as an in-browser attack. Malware-based cryptojacking is more dangerous and this type of attack is still prevalent, as attackers constantly develop new obfuscation techniques to exploit infrastructure. this paper focuses on the analysis and detection of malware-based cryptojacking attacks. Hybrid analysis is used to understand the structure and behavior of the malware file and accordingly, a unified multi layered machine-learning model is developed based on multiple datasets and achieved 0.996 accuracy. the novelty of the proposed work and scale of cryptojacking threat, is an eye opener for further research in this area. © 2023 IEEE.

关键词： Malware

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