ID List Forwarding Free Confidentiality Preserving Data Aggregation for Wireless Sensor Networks by Liehuang Zhu, Zhen Yang, Mingzhong Wang, Meng Li

“…In general, environmental data is confined to a certain range; hence, we utilize this feature and design an algorithm to help powerful base station retrieve the ID of reporting nodes. …”
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Development of a Low-Cost Automated Demand Response Controller for Home Energy Management by Yu-Chi Wu, Chao-Shu Chang, Wei-Han Li

“…The proposed system can be integrated with any DR algorithm to meet demand management requirements under the OpenADR program, contributing to significant demand reductions.…”
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Improving Wireless Sensor Network Security Using Quantum Key Distribution by Laith H. Alhasnawy, Ameer K. AL-Mashanji

“…This results in the reduction of the overall amount of energy, and the time required for performing the key exchange in the encryption and decryption processes decreased. …”
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Sensor placement optimization for critical-grid coverage problem of indoor positioning by Hui Wu, Zhe Liu, Jin Hu, Weifeng Yin

“…The results showed that the optimized schemes obtain a lower error (1.13, 1.21 m) and a higher reduction of sensor deployment cost than the uniform deployment scheme (1.44 m). …”
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TO EVALUATE THE DYNAMIC DUCTILE FRACTURE OF PIPELINE STEELS BY USING INSTRUMENTED DROP WEIGHT TEAR TEST by FANG Jian, SHEN Wei, WANG Lei

“…As to monitor the crack behavior after crack initiation directly from an instrument load-displacement curve,the linear correlation between the limit load and the square of remaining ligament width has been confirmed by applying a huge 40 k J instrumented pendulum machine onto standard pressed-notch API X80 DWTT specimens and employing key curve method,which also provides an experimental way to determine the material based parameter of A*σf,required by other CTOACestimation algorithm. As a result,in spite of the difference in the dynamic load endurance and energy consumption between full-scale and thickness-reduction sample plates,the evolution tendency of CTOA during ductile cracking are similar to each other. …”
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Optimization of load-bearing parameters for anisotropic nodes and prefabricated wall panels in prefabricated shear wall structures. by Jun Zhao, Libo Wang, Tengye Ma

“…Therefore, the study improves the quality information model for prefabricated nodes and the dragonfly algorithm by introducing principal component dimensionality reduction methods and multiple strategies through data modeling. …”
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Rotor Flux Controller for Induction Machines Considering Main Inductance Saturation by Diachenko G.

“…The objective of the study is to develop a law for regulating the coordinates of an electromechanical system, taking into account an energy-efficient algorithm for transferring the system from one operation point to another. …”
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Research on multi-condition optimization of centrifugal compressor impeller meridian profile. by Ning Yu, Xiaohan Yu, Zhi Cai, Xinle Yang, Liyong Tian, Song Li

“…The turbocharger, a pivotal technology for energy conservation and emission reduction, offers substantial academic significance, particularly in the in-depth study of its core component: the centrifugal compressor impeller. …”
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Estimating evolutionary and demographic parameters via ARG-derived IBD. by Zhendong Huang, Jerome Kelleher, Yao-Ban Chan, David Balding

“…For IBD inferred from real data, we propose an approximate Bayesian computation inference algorithm and use it to show that even poorly-inferred short IBD segments can improve estimation. …”
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Rolling Bearing Fault Diagnosis Based on SCNN and Optimized HKELM by Yulin Wang, Xianjun Du

“…This approach enabled the adaptive extraction, dimensionality reduction, and elimination of redundant information from the vibration signal features of rolling bearings. …”
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Time series forecasting of Valley fever infection in Maricopa County, AZ using LSTMResearch in context by Xueting Jin, Fangwu Wei, Srinivasa Srivatsav Kandala, Tejas Umesh, Kayleigh Steele, John N. Galgiani, Manfred D. Laubichler

“…Two models with different lengths of forecasting periods, 10 days and 30 days, are identified with good prediction. Interpretation: LSTM algorithms, combined with traditional statistical methods, could help with the forecasting of CM cases. …”
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Shield tunneling efficiency and stability enhancement based on interpretable machine learning and multi-objective optimization by Wenli Liu, Yang Chen, Tianxiang Liu, Wen Liu, Jue Li, Yangyang Chen

“…These metrics collectively reflect the model’s excellent performance in prediction accuracy, ability to explain data variability, and control of prediction bias. …”
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Geometric Accuracy Design and Tolerance Allocation of Precision Horizontal Machining Centers by Lina Wang, Xingxing Liu, Wenjie Tian, Dawei Zhang

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Multi-target detection and tracking based on CRF network and spatio-temporal attention for sports videos by Xi Chen, Hui Zhang, Achyut Shankar, Bharat Bhushan, Kireet Joshi

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Random-forest-based task pricing model and task-accomplished model for crowdsourced emergency information acquisition by Wenxiang Li, Shengqun Chen, Lijin Lin, Li Chen

“…Our simulation results demonstrate that the proposed method has an average reduction in Mean Squared Error (MSE) by 44.16 % for task pricing and an average increase in accuracy of 17.71 % for task-accomplished prediction compared to traditional regression models. …”
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Safety Assessment of Concrete Gravity Dams: Hydromechanical Coupling and Fracture Propagation by Maria Luísa Braga Farinha, Nuno Monteiro Azevedo, Sérgio Oliveira

“…For the safety assessment of concrete dam–foundation systems, this study used an explicit time-stepping small-displacement algorithm, which simulates the hydromechanical interaction and considers the discrete representation of the foundation discontinuities. …”
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A Machine Learning-Based Real-Time Remaining Useful Life Estimation and Fair Pricing Strategy for Electric Vehicle Battery Swapping Stations by Seyit Alperen Celtek, Seda Kul, A. Ozgur Polat, Hamed Zeinoddini-Meymand, Farhad Shahnia

“…The paper evaluates various machine learning algorithms for real-time RUL estimation regarding accuracy, computation time, and memory usage. …”
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Scientific planning of dynamic crops in complex agricultural landscapes based on adaptive optimization hybrid SA-GA method by Changlong Li, Zengye Su, Yudan Nie, Zhiyi Ye, Jinyi Li, Jing Wang, Zicong Yang, Xuxin Li, Weijian Zeng, Yanjian Chen

“…This framework is underpinned by a sophisticated model integrating advanced monitoring systems with a Hybrid Simulated Annealing Genetic Algorithm (H-SAGA), further enhanced by neural network-driven real-time predictions. …”
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Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence by David B. Olawade, Kusal Weerasinghe, Mathugamage Don Dasun Eranga Mathugamage, Aderonke Odetayo, Nicholas Aderinto, Jennifer Teke, Stergios Boussios

“…Furthermore, AI is being utilized to develop personalized treatment plans by analyzing large datasets to predict individual responses to therapies, thus optimizing patient outcomes and reducing healthcare costs. …”
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Rural Renewable Energy Resources Assessment and Electricity Development Scenario Simulation Based on the LEAP Model by Hai Jiang, Haoshuai Jia, Yong Qiao, Wenzhi Liu, Yijun Miao, Wuhao Wen, Ruonan Li, Chang Wen

“…By optimizing the hybrid power generation system through genetic algorithms, wind energy, solar energy, biomass energy, and coal power are combined to balance the annual electricity demand in rural areas. …”
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