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Journal articles on the topic 'SMART-control method'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Pandya, Astha, Prof R. R. Kapadia Prof. R.R.Kapadia, and Prof S. N. Shivani Prof. S.N.Shivani. "Smart Control of Parameter of Microgrid Having Renewable Sources Using ZIEGLER-NICHOLS Method." Paripex - Indian Journal Of Research 3, no. 2 (2012): 98–100. http://dx.doi.org/10.15373/22501991/feb2014/30.

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Unisa, Syeda Ayesha. "Smart Home Control." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 1153–58. http://dx.doi.org/10.22214/ijraset.2022.45451.

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Abstract: This project presents the final design of Home Automation System (HAS) with low cost and wireless system. It specifically focuses on the event of an IOT based home automation system which can control various components via internet or be automatically programmed to figure from ambient conditions. during this project, we design the event of a firmware for smart home control which could successfully be automated minimizing human interaction to preserve the integrity within whole electrical devices within the house. We used NodeMCU, a popular open source IOT platform, to execute the tac

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Srinivasan, C. R., Sannidhya Navin, Tushar Verma, and R. Srividya. "Smart Way to Control Obesity using Telemedicine Method." Journal of Engineering and Applied Sciences 14, no. 1 (2019): 8484–89. http://dx.doi.org/10.36478/jeasci.2019.8484.8489.

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Hovorushchenko, Tetiana, Sergii Aleksov, Yurii Popov, and Vyacheslav Bachuk. "DECISION-MAKING METHOD FOR TEMPERATURE CONTROL IN THE SMART HOME." Computer systems and information technologies, no. 3 (September 29, 2023): 6–11. http://dx.doi.org/10.31891/csit-2023-3-1.

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The current challenge is to provide automatic decision support in a smart home. A study of the top solutions of well-known smart homes has shown that existing solutions usually do not provide for fully automatic control in a smart home, but are focused either on automatic control in conjunction with manual control or user-controlled control. Therefore, the goal of this study is to support decision-making for fully automatic temperature control in a smart home. Human well-being and performance depend on the meteorological conditions of the environment in which a person is located. The most impo

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Kim, Bo-Ram, and Dong-Keun Kim. "Smart Emotional lighting control method using a wheel interface of the smart watch." Journal of the Korea Institute of Information and Communication Engineering 20, no. 8 (2016): 1503–10. http://dx.doi.org/10.6109/jkiice.2016.20.8.1503.

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Falahati, Saber, Seyed Abbas Taher, and Mohammad Shahidehpour. "A new smart charging method for EVs for frequency control of smart grid." International Journal of Electrical Power & Energy Systems 83 (December 2016): 458–69. http://dx.doi.org/10.1016/j.ijepes.2016.04.039.

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Pandey, Agnivesh, and Rohit Raja. "Smart Skyways: Aerial Traffic Control Using Artificial Intelligence Algorithms." Indian Journal Of Science And Technology 17, no. 31 (2024): 3272–80. http://dx.doi.org/10.17485/ijst/v17i31.836.

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Objectives: This study presents a resilient deep learning method for vehicle detection and classification in traffic aerial images. Methods: The Roboflow dataset used for model training includes 220 aerial images, annotated in YOLOv8 format in four classes of moving objects. Our suggested YOLO version eight-based approach uses real-time photos from Aerial cameras for the training and testing and validation for the classification and detection of moving objects. Findings: YOLOv8, a state-of-the-art object detection algorithm, enhances the accuracy and efficiency of traffic monitoring on the Rob

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8

Fore, Meredith. "Method allows for dual harmonic control in smart surfaces." Scilight 2020, no. 49 (2020): 491109. http://dx.doi.org/10.1063/10.0002918.

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Qu, Zhao Yang, Tian Hang Zhang, Jia Yan, and Shao Qing Xu. "An Intelligent Household Electricity Load Control Method Based on Demand Response." Applied Mechanics and Materials 740 (March 2015): 307–10. http://dx.doi.org/10.4028/www.scientific.net/amm.740.307.

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This paper presents a method for smart house electricity load control. The method, combined with TOU price and Real-time pricing, arranges various appliances and meets daily household electricity demand at the same time, so that to reduce the daily electricity consumption and realize Demand Response. First, this paper attempts to summarize problem witch need to be solved for realizing load control in a smart house. Second, the smart house load control problem was described as high-dimensional complex functions unconstrained optimization model and solved with Particle Swarm Optimization. Finall

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Li, Shuang Bei, Lin Jie Jiang, Chunm Mei Mo, and Rong Qin. "Shape Control of Smart Beams Using PZT and SMA Actuators with the Spline Finite Point Method." Applied Mechanics and Materials 444-445 (October 2013): 134–40. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.134.

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The spline finite point method (SFPM) that is based on the third order shear deformation beam theory (TSDT) is introduced to investigate the shape control of smart beam, which is integrated with PZT and SMA actuators. The governing equations of the smart beam are given by the SFPM and TSDT. The shape control problem is formulated as the problem of minimizing the objective function to study the shape control effects of the smart beam under the different control methods. To demonstrate the less computational cost and higher accuracy of the SFPM, several numerical examples are calculated. The adv

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Yue, Lin, Hao Shen, Sen Wang, et al. "Exploring BCI Control in Smart Environments." ACM Transactions on Knowledge Discovery from Data 15, no. 5 (2021): 1–20. http://dx.doi.org/10.1145/3450449.

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The brain–computer interface (BCI) control technology that utilizes motor imagery to perform the desired action instead of manual operation will be widely used in smart environments. However, most of the research lacks robust feature representation of multi-channel EEG series, resulting in low intention recognition accuracy. This article proposes an EEG2Image based Denoised-ConvNets (called EID) to enhance feature representation of the intention recognition task. Specifically, we perform signal decomposition, slicing, and image mapping to decrease the noise from the irrelevant frequency bands.

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12

Majeed, Wedad Ibraheem, Shibly Ahmed Al-Samarraie, and Mohanad Mufaq AL-SAIOR. "Vibration Control Analysis of a Smart Flexible Cantilever Beam Using Smart Material." Journal of Engineering 19, no. 1 (2023): 82–95. http://dx.doi.org/10.31026/j.eng.2013.01.06.

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This paper features the modeling and design of a pole placement and output Feedback control technique for the Active Vibration Control (AVC) of a smart flexible cantilever beam for a Single Input Single Output (SISO) case. Measurements and actuation actions done by using patches of piezoelectric layer, it is bonded to the master structure as sensor/actuator at a certain position of the cantilever beam.The smart structure is modeled based on the concept of piezoelectric theory, Bernoulli -Euler beam theory, using Finite Element Method (FEM) and the state space techniques. The number of modes is

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13

Xi, Lei, Yudan Li, Yuehua Huang, Ling Lu, and Jianfeng Chen. "A Novel Automatic Generation Control Method Based on the Ecological Population Cooperative Control for the Islanded Smart Grid." Complexity 2018 (August 23, 2018): 1–17. http://dx.doi.org/10.1155/2018/2456963.

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To achieve automatic generation control coordination in the islanded smart grid environment resulted from the increasing penetration of renewable energy, a novel ecological population cooperative control (EPCC) strategy is proposed in this paper. The proposed EPCC, based on the new win-loss criterion and the time tunnel idea, can compute the win-loss criterion accurately and converge to Nash equilibrium rapidly. Moreover, based on a multiagent system stochastic consensus game (MAS-SCG) framework, a frequent information exchange between agents (AGC units) is implemented to rapidly calculate opt

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Gong, Lingbing, Chunyan Xiao, Bin Cao, and Yuliang Zhou. "Adaptive Smart Control Method for Electric Vehicle Wireless Charging System." Energies 11, no. 10 (2018): 2685. http://dx.doi.org/10.3390/en11102685.

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In order to shorten the wireless charging time of electric vehicles (EVs) and achieve stable charging, an adaptive smart control method for EV wireless charging is proposed in the paper. The method dynamically tracks the rechargeable battery state during the whole charging process, realizes multi-stage charging of constant current (CC) or constant voltage (CV) by switching two kinds of compensation networks of bilateral L3C and L3C-C, and regulates the charging voltage and current to make it as close as possible to the battery charging characteristic curve. This method can be implemented becau

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Kawashima, Nobuaki, Ryoichi Hara, and Hiroyuki Kita. "Model Reduction Method for Smart Inverters having Frequency-Watt Control." IEEJ Transactions on Power and Energy 141, no. 4 (2021): 307–15. http://dx.doi.org/10.1541/ieejpes.141.307.

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Vincent Yide Liu, and Peng Zhou. "A SMART Control Method for Overcoming the Buzz Mobile Advertisement." International Journal of Advancements in Computing Technology 4, no. 8 (2012): 324–32. http://dx.doi.org/10.4156/ijact.vol4.issue8.39.

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17

Sun, Dongchang, Dajun Wang, and Z. L. Xu. "Distributed Piezoelectric Segment Method for Vibration Control of Smart Beams." AIAA Journal 35, no. 3 (1997): 583–84. http://dx.doi.org/10.2514/2.143.

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18

Sun, Dongchang, Dajun Wang, Z. L. Xu, and Hongxin Wu. "Distributed Piezoelectric Element Method for Vibration Control of Smart Plates." AIAA Journal 37, no. 11 (1999): 1459–63. http://dx.doi.org/10.2514/2.623.

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19

KATAOKA, Takahito, Masayuki AOU, and Itsuro KAJIWARA. "636 Vibration Control Method of Smart Structures Using Positive Real." Proceedings of the Dynamics & Design Conference 2007 (2007): _636–1_—_636–6_. http://dx.doi.org/10.1299/jsmedmc.2007._636-1_.

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20

Evora, Jose, Jose Juan Hernandez, and Mario Hernandez. "A MOPSO method for Direct Load Control in Smart Grid." Expert Systems with Applications 42, no. 21 (2015): 7456–65. http://dx.doi.org/10.1016/j.eswa.2015.05.056.

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21

Li, Luyu, Baowei Cheng, Yu Zhang, and Han Qin. "Study of a smart platform based on backstepping control method." Earthquake Engineering and Engineering Vibration 16, no. 3 (2017): 599–608. http://dx.doi.org/10.1007/s11803-017-0398-5.

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22

Kamel, Mark A., Khalil Ibrahim, and Abo El-Makarem Ahmed. "Vibration control of smart cantilever beam using finite element method." Alexandria Engineering Journal 58, no. 2 (2019): 591–601. http://dx.doi.org/10.1016/j.aej.2019.05.009.

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23

Sun, Dongchang, Dajun Wang, and Z. L. Xu. "Distributed piezoelectric segment method for vibration control of smart beams." AIAA Journal 35 (January 1997): 583–84. http://dx.doi.org/10.2514/3.13550.

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Sun, Dongchang, Dajun Wang, Z. L. Xu, and Hongxin Wu. "Distributed piezoelectric element method for vibration control of smart plates." AIAA Journal 37 (January 1999): 1459–63. http://dx.doi.org/10.2514/3.14343.

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25

Zang, Xuan, Ying Sun, and Ke Jun Li. "A ZigBee-Based Smart Home System: An Energy-Saving Method." Advanced Materials Research 148-149 (October 2010): 1528–31. http://dx.doi.org/10.4028/www.scientific.net/amr.148-149.1528.

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Smart Home technology promises enormous possibilities to our future life. It contains internal network, intelligent control and home automation. The paper describes a novel architecture for the smart home system employing ZigBee technology. Energy conservation is also a feature of smart home system. Based on the time-of-use (TOU) pricing, a new energy saving solution has been proposed.

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26

Y. V. Devi, Kausthubh, K. Chaithanya, M. Yamuna, B. Poojitha, and P. S. Neeraj. "Smart rover-voice control bluetooth control robot to avoid obstacles." i-manager’s Journal on Electronics Engineering 14, no. 2 (2024): 13. http://dx.doi.org/10.26634/jele.14.2.20534.

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This paper presents the development and implementation of a Smart Rover, integrating robotics and IoT technologies to create a versatile and efficient robotic platform. The Smart Rover is a versatile robotic platform integrating Bluetooth, voice control, and IoT capabilities for seamless navigation and obstacle avoidance. Powered by an Arduino UNO microcontroller and programmed in C++, the Smart Rover provides a user-friendly interface for remote control through Bluetooth-enabled devices. Voice commands add convenience and accessibility, offering an alternative control method. The onboard sens

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27

Wang, Chengliang, Minjian Cao, and Raquel Martínez Lucas. "Design of load optimal control algorithm for smart grid based on demand response in different scenarios." Open Physics 16, no. 1 (2018): 1046–55. http://dx.doi.org/10.1515/phys-2018-0125.

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Abstract The current game theory model method cannot accurately optimize the load control of smart grid, resulting in the problem of high load energy consumption when the smart grid is running. To address this problem, a load optimal control algorithm for smart grid based on demand response in different scenarios is proposed in this paper. The demand response of smart grid under different scenarios is described. Onthis basis, the load rate and actual load of smart grid are calculated by using the rated load of electrical appliances. The load classification of smart grid and the main factors af

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28

Chi, Hao, and Yuyan Chi. "Smart Home Control and Management Based on Big Data Analysis." Computational Intelligence and Neuroscience 2022 (February 10, 2022): 1–14. http://dx.doi.org/10.1155/2022/3784756.

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In order to improve the effect of smart home control and management, a new smart home control and management method based on big data analysis is designed. The basic hardware of smart home control and management is designed, including smoke sensor hardware, temperature and humidity sensor hardware, and infrared sensor hardware, so as to collect smart home data and realize data visualization and buzzer alarm. The collected data are transmitted through the indoor wireless network of smart home gateway equipment, and the data distributed cache architecture based on big data analysis is used to st

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ALIYEV, V. J., and M. H. HAMIDOV. "METHOD OF ELECTRICAL NETWORK CONTROL." Power Engineering Problems, no. 1 (2024): 110–12. https://doi.org/10.70784/azip.5.20241110.

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The demand for electricity is constantly increasing in the world and in our republic. In order to meet this demand, it is necessary to develop new energy sources, as well as to develop existing electricity sources and networks to the level of modern requirements, and to apply new technologies [1]. Since the production, transmission and distribution of electric energy covers a large fıeld of technology, it is necessary to use automation, remote control and digital technologies to provide electricity consumers with uninterrupted and quality electric energy. Recently, the prospects of using mainl

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Song, Xueya, and Shengchao Sun. "Voice Recognition Control System Based on Cloud Computing and IoT Sensors." Wireless Communications and Mobile Computing 2022 (September 13, 2022): 1–7. http://dx.doi.org/10.1155/2022/4489452.

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In order to meet the increasing demand for accuracy, stability, and response speed of the voice recognition function of smart home products, the author proposes a smart home voice control system scheme based on the use of smart home Internet gateways to complete remote voice control and environmental monitoring tasks. This method firstly tests the existing home appliance network of the smart home voice control system to verify the feasibility of the author’s design. Then, the voice recognition task is transferred to the cloud server, and the smart home Internet gateway only needs to perform da

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Deshpande, Siddhesh, and Sheng-Jen Hsieh. "Cyber-Physical System for Smart Traffic Light Control." Sensors 23, no. 11 (2023): 5028. http://dx.doi.org/10.3390/s23115028.

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In recent years, researchers have proposed smart traffic light control systems to improve traffic flow at intersections, but there is less focus on reducing vehicle and pedestrian delays simultaneously. This research proposes a cyber-physical system for smart traffic light control utilizing traffic detection cameras, machine learning algorithms, and a ladder logic program. The proposed method employs a dynamic traffic interval technique that categorizes traffic into low, medium, high, and very high volumes. It adjusts traffic light intervals based on real-time traffic data, including pedestria

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32

Jing, Xu Zhen, Lin Li, and Chao Li. "Design Method of the Flexible Smart Driving Mechanism." Advanced Materials Research 442 (January 2012): 180–87. http://dx.doi.org/10.4028/www.scientific.net/amr.442.180.

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Flexible smart driving mechanism is a combination of a smart actuator and flexible elements. It is an important part of the smart structure, mainly used in precise positioning and vibration control. In such application the displacement (or thrust) output and the natural frequency of the mechanism are two important design parameters. In the paper it is presented at the first that the two technical parameters (the output and the frequency) couldn’t be designed independently. Then based on static and dynamic analysis the design method of a general flexible smart driving mechanism is given. As an

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Gharbi, Atef, Mohamed Ayari, and Abdulsamad Ebrahim Yahya. "Demand-Response Control in Smart Grids." Applied Sciences 13, no. 4 (2023): 2355. http://dx.doi.org/10.3390/app13042355.

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In the smart grid, electricity price is a key element for all participants in the electric power industry. To meet the smart grid’s various goals, Demand-Response (DR) control aims to change the electricity consumption behavior of consumers based on dynamic pricing or financial benefits. DR methods are divided into centralized and distributed control based on the communication model. In centralized control, consumers communicate directly with the power company, without communicating among themselves. In distributed control, consumer interactions offer data to the power utility about overall co

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Yang, Sung-Hyun, M. Humayun Kabir, and M. Robiul Hoque. "Mathematical Modeling of Smart Space for Context-Aware System: Linear Algebraic Representation of State-Space Method Based Approach." Mathematical Problems in Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/8325054.

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A smart space is embedded with several components such as sensors, actuators, and computing devices that enable the sensing and control of the environment, and the inhabitants interact with the devices in the smart space whenever they need to. To model a smart space, a dynamic relationship needs to be established among the elements of the space whereby the interactions with devices are considered a dynamic-process state. In this paper, a linear model of a smart space is presented using a state equation, where the two coefficient matricesLandHneed to be defined to model the smart space, and the

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Yu, Han, Hamid Reza Karimi, and Xuemei Zhu. "Research of Smart Car’s Speed Control Based on the Internal Model Control." Abstract and Applied Analysis 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/274293.

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Based on analyzing principle about the smart car’s speed control system, the system mathematical model is built. Considering the control optimization, a novel control scheme is proposed based on internal model control, and the internal model controller of speed control system is established. Regarding this subject, the internal control theory is introduced to verify the control performance; the traditional PID control method is employed in the experiment. The experiment indicates that the proposed method based on internal model control is easier to determine parameter and has a well robust and

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Polyakov, Sergey, V. Akimov, and A. Polukazakov. "Cascade control of «smart home» heating." Modeling of systems and processes 14, no. 4 (2022): 82–89. http://dx.doi.org/10.12737/2219-0767-2021-14-4-82-89.

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The article discusses the issues of implementing the conversion of input signals of «smart» sensors for automation of the heating system, an algorithm for calculating the parameters of measuring circuits with a nonlinear element and an operational amplifier is developed. The issues of modeling cascade control of residential building heating systems are investigated. The results of the analysis and selection of parameters of the cascade control system are presented. An algorithm implementing the operation of a virtual object is given. The structures of management of residential building objects

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37

Flå, Lars Halvdan, Jonatan Ralf Axel Klemets, and Martin Gilje Jaatun. "Threat Modeling of Smart Grid Control Architectures." Electronics 14, no. 6 (2025): 1068. https://doi.org/10.3390/electronics14061068.

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In this paper, we perform a threat modeling of architectures for controlling the medium voltage (MV) part of the power grid, arguing the importance of this topic with a brief summary of serious cyber security attacks from the last decade. As more Distributed Energy Resources (DERs) are introduced into this part of the grid, the need to control these resources arises. A threat modeling of two alternative control architectures is performed to study two different aspects. Firstly, we study and compare the cyber security of the two architectures to determine whether one of them is inherently more

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38

Adamczak-Bugno, Anna, Grzegorz Świt, and Aleksandra Krampikowska. "Fibre-Cement Panel Ventilated Façade Smart Control System." Materials 14, no. 17 (2021): 5076. http://dx.doi.org/10.3390/ma14175076.

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This paper outlines a design for a fibre-cement panel ventilated façade smart control system based on the acoustic emission method. The paper also provides methodology and test results, as well as statistical analysis of the three-point bending results with AE signal acquisition as a basis for the development of the system in question. The test items were samples cut from a full-size fibre-cement panel for interior and exterior use, according to the standard guidelines. The recorded acoustic emission signals were classified statistically into four classes, which were assigned to the processes

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Xu, Rui, DongXu Li, and JianPing Jiang. "An online learning-based fuzzy control method for vibration control of smart solar panel." Journal of Intelligent Material Systems and Structures 26, no. 18 (2015): 2547–55. http://dx.doi.org/10.1177/1045389x15606999.

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Wang, Yue, Rui Zhang, Xiaoyi Zhang, and Yalan Zhang. "Privacy Risk Assessment of Smart Home System Based on a STPA–FMEA Method." Sensors 23, no. 10 (2023): 4664. http://dx.doi.org/10.3390/s23104664.

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Although the smart home industry is rapidly emerging, it faces the risk of privacy security that cannot be neglected. As this industry now has a complex combination system involving multiple subjects, it is difficult for the traditional risk assessment method to meet these new security requirements. In this study, a privacy risk assessment method based on the combination of system theoretic process analysis–failure mode and effect analysis (STPA–FMEA) is proposed for a smart home system, considering the interaction and control of ‘user-environment-smart home product’. A total of 35 privacy ris

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Ma, T., Y. Liu, D. Yang, Z. Zhang, X. Wang, and S. Hao. "Research on the design of smart morphing long-endurance UAVs." Aeronautical Journal 125, no. 1283 (2020): 22–41. http://dx.doi.org/10.1017/aer.2020.82.

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ABSTRACTTo improve the endurance performance of long-endurance Unmanned Aerial Vehicles (UAVs), a smart morphing method to adjust the UAV and flight mode continuously during flight is proposed. Using this method as a starting point, a smart morphing long-endurance UAV design is conducted and the resulting improvement in the endurance performance studied. Firstly, the initial overall design of the smart morphing long-endurance UAV is carried out, then the morphing form is designed and various control parameters are selected. Secondly, based on multi-agent theory, an architecture for the smart m

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Ai, Maohua, Pengju Wang, and Wei Ma. "Research and application of smart streetlamp based on fuzzy control method." Procedia Computer Science 183 (2021): 341–48. http://dx.doi.org/10.1016/j.procs.2021.02.069.

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Enriko, Agung, Ryan Anugrah Putra, and Estananto. "Automatic Temperature Control System on Smart Poultry Farm Using PID Method." Green Intelligent Systems and Applications 1, no. 1 (2021): 37–43. http://dx.doi.org/10.53623/gisa.v1i1.40.

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Chicken farmers in Indonesia are facing a problem as a result of the country's harsh weather conditions. Poultry species are very susceptible to temperature and humidity fluctuations. As a result, an intelligent poultry farm is necessary to intelligently adjust the temperature in the chicken coop. A smart poultry farm is a concept in which farmers may automatically manage the temperature in the chicken coop, thereby improving the livestock's quality of life. The purpose of this research is to develop a chicken coop prototype that focuses on temperature control systems on smart poultry farms vi

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Kim, Myeong-Soo, and Soon-Chan Hong. "Smart Panel Board for EV Standard Chargers and Its Control Method." Transactions of the Korean Institute of Power Electronics 19, no. 6 (2014): 511–21. http://dx.doi.org/10.6113/tkpe.2014.19.6.511.

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谢, 远鹏. "An Access Control Method Based on HABE Applying in Smart Grid." Smart Grid 05, no. 03 (2015): 93–99. http://dx.doi.org/10.12677/sg.2015.53012.

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46

Abukhaled, Marwan, and Ibrahim Sadek. "A Galerkin-Parameterization Method for the Optimal Control of Smart Microbeams." Mathematical Problems in Engineering 2009 (2009): 1–15. http://dx.doi.org/10.1155/2009/530287.

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A proposed computational method is applied to damp out the excess vibrations in smart microbeams, where the control action is implemented using piezoceramic actuators. From a mathematical point of view, we wish to determine the optimal boundary actuators that minimize a given energy-based performance measure. The minimization of the performance measure over the actuators is subjected to the full motion of the structural vibrations of the micro-beams. A direct state-control parametrization approach is proposed where the shifted Legendre polynomials are employed to solve the optimization problem

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Seyedolhosseini, Atefesadat, Nasser Masoumi, Mehdi Modarressi, and Noushin Karimian. "Daylight adaptive smart indoor lighting control method using artificial neural networks." Journal of Building Engineering 29 (May 2020): 101141. http://dx.doi.org/10.1016/j.jobe.2019.101141.

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Wang, Yu-Qian, Leijiao Ge, and Na Zhang. "Hybrid Evaluation Method for Dispatching Control Level of Smart Distribution Network." Journal of Electrical Engineering & Technology 14, no. 6 (2019): 2263–75. http://dx.doi.org/10.1007/s42835-019-00267-x.

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Gupta, Santosh K., Koushik Kar, Sandipan Mishra, and John T. Wen. "Singular Perturbation Method for Smart Building Temperature Control Using Occupant Feedback." Asian Journal of Control 20, no. 1 (2017): 386–402. http://dx.doi.org/10.1002/asjc.1587.

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Xu, Jiajie, Haolong Xiang, Shaobo Zang, Muhammad Bilal, Maqbool Khan, and Guangming Cui. "A DQN-Based Edge Offloading Method for Smart City Pollution Control." Tsinghua Science and Technology 30, no. 5 (2025): 2227–42. https://doi.org/10.26599/tst.2024.9010105.

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