Association between learning style preferences and choices of teaching method among Iranian faculty members: A cross-sectional online survey by Mohsen Masoumian Hosseini, Somayeh Rajabzadeh, Babak Sabet, Roya Vatankhah, Seyed Mohammad Ebadirad

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Island Partitioning of Smart Distribution Systems in Emergencies Considering Voltage and Frequency Stability by Zahra Hosseini Najafabadi, Asghar Akbari Foroud

“…Island partitioning is an attractive solution to restore service in a smart distribution system that becomes islanded unintentionally. …”
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Deep learning-based novel ensemble method with best score transferred-adaptive neuro fuzzy inference system for energy consumption prediction by Birce Dağkurs, İsmail Atacak

“…In fold analyses, the proposed method, in terms of the root mean square error (RMSE) metric, demonstrated better performance in four folds on the Internet of Things (IoT)-based smart home (IBSH) dataset, two in the homestead city electricity consumption (HCEC) dataset, and two in the individual household power consumption (IHPC) dataset compared to the other methods. …”
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Identification of Distribution Network Topology and Line Parameter Based on Smart Meter Measurements by Chong Wang, Zheng Lou, Ming Li, Chaoyang Zhu, Dongsheng Jing

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Planning for offshore wind: An integrated smart approach combining NREL classification and TOPSIS by Badr El Kihel, Nacer Eddine El Kadri Elyamani

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A New Fuzzy Approach for Analyzing the Smartness of Cities: Case Study for Turkey by Melike Erdoğan

“…In addition, a sensitivity analysis was used to examine the robustness of the proposed method. As a result, a novel fuzzy decision-making approach has been proposed in the evaluation of smart cities.…”
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Evaluation of Transfer Efficiency between Subway and Bus Based on the Interval Number Ranking Method by Employing Probability Reliability: Taking Ningbo for Example by Zhenyu Chen, Zhengfeng Huang, Lingli Yang, Pengjun Zheng

“…This paper uses the probability credibility interval number ranking method to evaluate the bus transfer efficiency. Firstly, this study obtains the dynamic transfer time data by matching individual smart card and subway/bus global positioning system (GPS) records, which is used to evaluate the transfer efficiency of corresponding subway stations. …”
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Solving Power Supply Stability Issues in Remote Agricultural Areas Based on an Improved Sliding-Mode Active Disturbance Rejection Control Method by Boyan Huang, Kai Song, Tao Zhang, Zihui Lian, Hongxu Li, Dezhi Jin, Runjin Wang

“…Traditional power supply methods often struggle to meet demand due to significant fluctuations in solar irradiance and load. …”
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Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression by Javad Artin, Amin Valizadeh, Mohsen Ahmadi, Sathish A. P. Kumar, Abbas Sharifi

“…Traffic prediction is critical to expanding a smart city and country because it improves urban planning and traffic management. …”
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Organizational Work System as the Predictor of Creative Performance: A New Approach to the Learning Method System of Comprehensive Systems and Expansion of Research Field by Zhiliang Lyu, Chengao Zhang, Xiu Jin

“…However, the moderating effect of the learning method system of comprehensive systems was not significant. …”
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PS-YOLO-seg: A Lightweight Instance Segmentation Method for Lithium Mineral Microscopic Images Based on Improved YOLOv12-seg by Zeyang Qiu, Xueyu Huang, Zhicheng Deng, Xiangyu Xu, Zhenzhong Qiu

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State Characteristic Clustering for Nonintrusive Load Monitoring with Stochastic Behaviours in Smart Grids by Ruotian Yao, Hong Zhou, Dongguo Zhou, Heng Zhang

“…Integrating the nonintrusive load monitoring (NILM) technology into smart meters poses challenges in demand-side management (DSM) of the smart grid when capturing detailed power information and stochastic consumption behaviours, due to the difficulties in accurately detecting load operation states in real household environments with the limited information available. …”
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Simplified white shark with centroid DBN for urban waste management in smart cities by Abhijeet R. Raipurkar, Manoj B. Chandak, Sunita G. Rawat

“…Furthermore, traditional methods do not overcome the risk of contamination when non-recyclable or hazardous products are improperly disposed of with ordinary waste, and there is an issue of identifying the waste that deteriorates over time. …”
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Synergistic evaluation system of “technology and service” in smart elderly care institutions in China by Xiaoyun Liu, Ka-Yin Chau, Xiaoxiao Liu, Yan Wan

“…Methods Based on the Structure–Process–Outcome model, this paper has developed an integrated theoretical framework and employed a combination of modified-Delphi method and Decision-Making Trial and Evaluation Laboratory – Analytic Network Process to establish and assign weights to the service quality evaluation system for smart elderly care institutions in China. …”
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Development of an Algorithm for Predicting Broiler Shipment Weight in a Smart Farm Environment by Bohyeok Lee, Juwhan Song

“…To estimate the accurate daily body weight representative value of broiler body weight data, the K-means clustering method and the kernel density estimation method were applied, and the growth trends generated by each method were used as training data for the Prophet predictor, double exponential smoothing predictor, ARIMA predictor, and Gompertz growth model. …”
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A Feature Engineering Framework for Smart Meter Group Failure Rate Prediction by Yihong Li, Xia Xiao, Zhengbo Zhang, Wenao Liu

“…The experimental results demonstrate that the proposed method not only reduces the number of features (25→7) but also improves the prediction accuracy (MSE: 0.0049 → 0.0042, R²: 0.6638 → 0.7228) of smart meter group failure rates. …”
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Designing a Smart human resources Architecture Model for Medical Sciences Universities by Mohammad Reza Gholami, Abdolali Keshtegar, Vahid Pourshahabi

“… Background: This study was conducted with the aim of designing the architectural model of human resources of universities of medical sciences in southeastern provinces of Iran with the intelligent approach. Methods: This study was of a mixed method.The statistical population in the qualitative part was 20 experts of medical sciences managers in the southeastern provinces of Iran, namely Sistan and Baluchistan, Kerman, Hormozgan and South Khorasan. …”
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A smart Internet of Things–based mechanism for wireless communications in NoC by Tao Chi, Manman Chen, Ming Chen, Haowei Yan

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Research on Smart Scaling Mechanism and Structure for Big Data Network Server Groups by Hongyao Ju

“…The principle and construction of the structure of smart telescopic on big data network server groups were elaborated.The key technologies involved in the smart scaling of big data network server groups were discussed.After investigating key technologies,including the monitoring of the workload of the server group,the smart control of the number of servers,and the scheduling of access loads,the principle and realization method for the smart scaling of big data network server groups were proposed and technical supports were provided for the smart scaling and effective energy conservation of big data network server groups.According to the proposed construction method and key technologies,a smart scaling model for big data network server groups was provided as well.…”
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Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing by Yuhang Zeng, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, Jiwei Hu

“…In the first stage, an improved multi-objective FBI algorithm is used to obtain the Pareto front solutions of this model, in which a hybrid real and integer encoding–decoding method is used for exploring the solution space and a fast non-dominated sorting method for improving efficiency. …”
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