Garbage prediction using regression analysis for municipal corporations of Indian cities by Raj Kumar Sharma, Manisha Jailia

“…This research, therefore, provides a Random Forest model that is optimal for such challenges and is recommended for this class of problem.…”
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Early Failure Diagnosis of Scraper Conveyor Gearboxes Based on DS Evidence Theory and Multimodal Data Fusion by Long Feng, Zeyu Ding, Qiang Zhang, Feng Zhou, Jin Peng Su, Yang Wang, Xinye Liu, Yibing Yin

“…To ensure the stability and reliability of its work, this paper carries out the research on the multi‐parameter fusion of gearbox early fault diagnosis method under strong background noise interference. Aiming at the problem that the change of fluid physical and chemical characteristic parameters can reflect the early health condition of the gear transmission system and the single vibration signal is difficult to be extracted under the strong background noise, a model based on the fluid physical and chemical characteristic parameters and vibration signals is constructed by utilizing the RBF neural network and the Random Forest algorithm, and the body of evidence of the two models is fused at the decision‐making level through the DS evidence theory, which forms the fluid‐vibration multi‐parameter fusion judgment of the early fault diagnosis method of scraper conveyor gearbox. …”
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Minimizing System Entropy: A Dual-Phase Optimization Approach for EV Charging Scheduling by Wenpeng Yuan, Lin Guan

“…To address the electric vehicle (EV) charging scheduling problem in rural distribution networks, this study proposes a novel two-phase optimization strategy that combines particle swarm optimization (PSO) and Q-learning for global optimization and real-time adaptation. …”
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Robust Optimal Sizing of a Stand-Alone Hybrid Renewable Energy System Using Machine Learning-Based Uncertainty Sets by Ali Keyvandarian, Ahmed Saif, Ronald Pelot

“…An exact iterative algorithm is developed to solve the problem effectively. A case study of a northern Ontario community evaluates the proposed framework and the solution method using real test data. …”
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Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

“…In view of the problem that the traditional ventilation total amount control management mode of the fully mechanized heading face cannot carry out wind flow control according to the actual demand, which causes gas and dust accumulation and pollution hidden danger, the multi-source data fusion neural network prediction model of wind speed, gas and dust concentration under wind flow control is studied. …”
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Fault diagnosis method for rolling bearings based on CWT-IDenseNet by Guangfei JIA, Hanwen LIANG, Jinqiu YANG, Zhe WU, Yuxin HAN

“…Aiming at the problems of incomplete information contained in one-dimensional signals and overfitting of the DenseNet under variable working conditions, a rolling bearing fault diagnosis method based on continuous wavelet transform (CWT) time-frequency images and an improved densely connected convolutional network (IDenseNet) was proposed. …”
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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

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Fault diagnosis method for rigid guides in vertical shaft hoisting systems by WANG Jianfeng, JIN Yuanzhi, ZHANG Yong, WANG Yongzhen, HE Jiacong

“…To improve the accuracy of rigid guide fault identification, Residual Attention One-Dimensional Convolutional Neural Network (RA1DCNN) was proposed. The network extracted multi-scale features through parallel multi-scale convolutions, enhancing its ability to perceive signal features at different scales. …”
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Hybrid AI and Big Data Solutions for Dynamic Urban Planning and Smart City Optimization by Wei Zhu, Wei He, Qingsong Li

“…This study introduces a novel approach by combining Graph Neural Networks (GNNs) with Simulated Annealing (SA) to tackle these challenges in urban planning. …”
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Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems by Khumara Ashraf, Zeeshan Ali, Chiranjibe Jana, Adel Fahad Alrasheedi, Nikola Ivković, Domagoj Tuličić

“…The key theme of this article is to analyze the problem of waste minimization strategies for environmental sustainability based on invented models. …”
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教育變革下偏遠教師的成就目標與 組織承諾之關係研究：社會網絡行為之 中介效果與多群組分析 The Relationship Between Achievement Goals and Organizational Commitment of Remote Teachers Under Educational Reform: The Mediating Eff... by 陳慧蓉 Karen Hui-Jung Chen

“…Internal networks (within schools) and external networks (beyond schools) are critical for resource sharing, collaboration, and support. …”
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Research on the Model of High-Speed Railway Station Security Resource Scheduling Based on Dynamic Passenger Flow Prediction by Mengkun Li, Yitian Sun, Chunjie Xu, Chen’ao Du, Wei Shao

“…To address these challenges, this study introduces the Multi-Head Attention Long Short-Term Memory Network and Model Predictive Control (MHALSTM-MPC) model to improve security resource management at high-speed railway stations. …”
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Method of joint wavelet thresholding and F-NLM de-noising for high-resolution SAR ship detection by Liang TONG, Dan LIU, Zhongbo PENG, Han ZOU, Lumeng WANG, Chunyu ZHANG

“…Next, a YOLOv7 detection algorithm combined with a bi-directional feature pyramid network (Bi-FPN) is selected to effectively aggregate the multi-scale features and further improve the model's accuracy. …”
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Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…Learning-based methods, particularly graph neural networks (GNNs), have shown considerable potential in addressing HLS QoR/DSE problems by modeling the mapping function from control data flow graphs (CDFGs) of HLS designs to their logic, enabling early estimation of QoR during the compilation phase of the hardware design flow. …”
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Short-term Power Load Forecasting for a 33/11 KV Sub-Station by Utilizing Attention-Based Hybrid Deep Learning Architectures by Mukkamala R.

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A reposition algorithm for e-hailing based on quantum annealing and intuitive reasoning by Chao Wang, Yiyun Shi, Sumin Wang

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Explaining the Livability of Isfahan City Based on Life City Discourse by Seyed Ali Hashemianfar, Ahmad Mehrshad, Mohammad Heydari, Nariman Mohammadi

“…IntroductionUrbanization, a defining characteristic of the 20th century, has been linked to enhancements in citizens' welfare and well-being, as well as a reduction in societal problems. This evolution has been shaped by philosophical attitudes and various plans and projects over time. …”
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Optimization Algorithm for AoI-Based UAV-Assisted Data Collection by Xiaoya Zhou, Qi Zhu

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Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems by A. Ghassemi, T. A. Gulliver

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Device-edge collaborative occluded face recognition method based on cross-domain feature fusion by Puning Zhang, Lei Tan, Zhigang Yang, Fengyi Huang, Lijun Sun, Haiying Peng

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