An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction by Shanchun Zhao, Xu Li

“…Accurate traffic prediction is a powerful factor of intelligent transportation systems to make assisted decisions. …”
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Public management of smart cities: European experience by S. A. Zakharova

“…The third group of publications deals with critical aspects of the development of smart governance in practice and the resulting consequences, in particular, the reassessment of the ability of the private sector to develop and implement intelligent technologies, the predominance of a technocratic approach to decision-making, the inability to ensure impartiality and objectivity, the lack of the ability to analyse urban data, cloud computing on digital platforms to stimulate production in a collaborative environment. …”
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Security protection method based on mimic defense and Paillier encryption for smart IoT terminals by GU Tiansheng, ZENG Fukang, SHAO Sisi, NIE Yijun, JI Zongkai, ZHENG Yulu, SHI Yuchen, LIU Shangdong, JI Yimu

“…It also effectively supported the efficient and reliable transmission of data of the intelligent IoT devices. Finally, taking the mimic smart IoT system as an application scenario, the proposed method was theoretically analyzed and experimentally validated for its improved performance and security.…”
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Computational Modeling of Desiccation Properties (CW, LS, and VS) of Waste-Based Activated Ash-Treated Black Cotton Soil for Sustainable Subgrade Using Artificial Neural Network, G... by Kennedy C. Onyelowe, Jamshid Shakeri, Hasel Amini-Khoshalan, Thompson F. Usungedo, Mohammadreza Alimoradi-Jazi

“…There was appreciable improvement in the shrinkage and crack parameters over the 30-day drying period due to the addition of ASDA. The intelligent model results showed that the three techniques successfully predicted the CW, LS, and VS with a performance accuracy above 90%, while ANN produced the minimal error in performance outperforming the other techniques. …”
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Analysis of Individuals’ Acceptance and Influencing Factors for Young Users of Autonomous Vehicles Using the Hybrid Choice Model by Ming Wan, Qingmei Liu, Lixin Yan, Liqun Peng, Xujin Yu, Ping Wan

“…Autonomous vehicles (AVs) are a vital direction for intelligent transportation; nevertheless, the current research is insufficient, and the aspects and mechanisms that influence individuals’ adoption of AVs require additional investigation. …”
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Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar by Rui ZHANG, Hanqin GONG, Ruiyuan SONG, Yadong LI, Zhi LU, Dongheng ZHANG, Yang HU, Yan CHEN

“…Through-wall human pose reconstruction and behavior recognition have enormous potential in fields like intelligent security and virtual reality. However, existing methods for through-wall human sensing often fail to adequately model four-Dimensional (4D) spatiotemporal features and overlook the influence of walls on signal quality. …”
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Residual Strain Monitoring and Dynamic Characteristics of Hybrid Hollow Square Tube with Metal–FRP–Metal Sandwich Walls by Zhao Li, Mingyao Liu, Jintao Wang, Wei Ke

“…This novel hybrid HST may be used for online health monitoring and safety evaluation to build intelligent machine tools structures.…”
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Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting by Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei

“…Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban road traffic safety hazards. …”
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An Automated Approach for Epilepsy Detection Based on Tunable Q-Wavelet and Firefly Feature Selection Algorithm by Ahmed I. Sharaf, Mohamed Abu El-Soud, Ibrahim M. El-Henawy

“…This paper introduces a novel approach to recognize and classify the epileptic seizure and seizure-free EEG signals automatically by an intelligent computer-aided method. Moreover, the prediction of the preictal phase of the epilepsy is proposed to assist the neurophysiologist in the clinic. …”
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Internet of things enabled parking management system using long range wide area network for smart city by Waheb A. Jabbar, Lu Yi Tiew, Nadiah Y. Ali Shah

“…IoT-SPMS-LoRaWAN features intelligent sensing nodes that incorporate an Arduino UNO microcontroller and two sensors—a triaxial magnetic sensor and a waterproof ultrasonic sensor. …”
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Management model of higher education based on innovative using fuzzy sets by Chunyan Xing

“…When tested in online classrooms with abnormal data, this method's effectiveness exceeded that of the intelligent education system. The challenging characteristics of such HE using FSs are the students' low family income, a complicated network, and skill development due to the low quality of education. …”
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Dual-Mode Textile Sensor Based on PEDOT:PSS/SWCNTs Composites for Pressure–Temperature Detection by Ying Wang, Qingchao Zhang, Zhidong Zhang

“…As an innovative branch of electronics, intelligent electronic textiles (e-textiles) have broad prospects in applications such as e-skin, human–computer interaction, and smart homes. …”
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VARIATION OF HARMONICS EMISSION FROM MODERN LAMPS IN A POWER SUPPLY NETWORK by RÓBERT ISTÓK

“…The dimmability of the LEDs which is between 0% and 100% made it ideally for intelligent lighting applications. This large dimmability range could be obtained only with incandescent and halogen bulbs, compare to CFL compact fluorescent lamps where the maximum dimmability is around of 60%. …”
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Fault Diagnosis of Rolling Bearings Based on Two-step Transfer Learning and EfficientNetV2 by Du Kangning, Ning Shaohui

“…A rolling bearing fault diagnosis model based on two-step transfer learning and EfficientNetV2 (TSTE) is proposed for the real fault diagnosis environment in engineering, where the scarcity of available data leads to the low accuracy of the intelligent diagnosis model in bearing health status diagnosis. …”
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Performance Analysis of RIS-Assisted Smart Grid Wide Area Network With RF Energy Harvesting by Kandi Veera Venkata Ramana, Hemanta Kumar Sahu

“…This paper presents a comprehensive performance analysis of a reconfigurable intelligent surface (RIS)-assisted smart grid (SG) communication network with radio-frequency (RF) energy harvesting (EH). …”
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The optimal route search in Bengaluru city transport using Hamilton circuit algorithm by Parkavi S, Parthiban A

“…., “Modeling and control of multiphase interleaved fuel-cell boost converter based on Hamiltonian control theory for transportation applications, IEEE Transactions on Transportation Electrification 6.2, 2020, pp. 519-529”, in this paper, we study an intelligent agent model to perform route engineering for public transportation in the Bengaluru city, based on the Hamilton circuit algorithm and analyze the best and optimal route among the three significant routes out of twelve available using various parameters. …”
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Exploring the Main Effect of e-Banking on the Banking Industry Concentration Degree on Predicting the Future of the Banking Industry: A Case Study by Zohreh Ghasemi, Mozhdeh Afshar Kermani, Tofigh Allahviranloo

“…To accomplish this aim, an intelligent hybrid model is developed based on multilayer perceptron neural network and fuzzy regression of the effects of banking on the relative electronic share of banks. …”
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In-situ backup virtual sensor application in building automation systems toward virtual sensing-enabled digital twins by Youngwoong Choi, Sungmin Yoon

“…A backup virtual sensor (BVS) is widely used as a benchmark, for redundancy, and as a replacement for a physical sensor to implement intelligent operational applications in digital twin-enabled building systems. …”
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Explaining the effective factors in sustainable urban development management, with emphasis on flourishing cities around metropolises (Case study: Lavasan city) by Hossein Sedaghat Nouri, Mohammad reza pourjahfar, Nader Zali

“…The results of the analysis show that the components affecting the management of sustainable urban development in Lavasan can be in physical-spatial dimensions, quality of life, intelligent management, justice and examined equality, governance, and optimal legislation. …”
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MultiSenseX: A Sustainable Solution for Multi-Human Activity Recognition and Localization in Smart Environments by Hamada Rizk, Ahmed Elmogy, Mohamed Rihan, Hirozumi Yamaguchi

“…By enhancing multi-user sensing technologies, <i>MultiSenseX</i> supports the development of intelligent, efficient, and sustainable communities, contributing to SDG 11 (Sustainable Cities and Communities) and SDG 3 (Good Health and Well-being) through safer, smarter, and more inclusive urban living solutions.…”
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