Deep Learning-Based Sound Source Localization: A Review by Kunbo Xu, Zekai Zong, Dongjun Liu, Ran Wang, Liang Yu

“…Despite these advancements, current approaches face three core challenges: the insufficient integration of physical principles, prohibitive data annotation costs, and the trade-off between real-time performance and accuracy. Future research should prioritize physics-informed modeling to embed acoustic propagation mechanisms, unsupervised domain adaptation to reduce reliance on labeled data, and sensor-algorithm co-design to optimize hardware-software synergy. …”
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Joint user plane function instance and base station scheduling in mobile networks by Seokwon Jang, Namseok Ko, Jaewook Lee, Yeunwoong Kyung, Haneul Ko

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Ecological Efficiency Evaluation in Petrochemical Enterprises Using Plithogenic-ARTASI Model by Hailing Chen, Dingqun Zhang

“…This study deviates from previous research that examines company eco-efficiency from a strategic and behavioral incentive standpoint. …”
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Distributed Transaction Mode Considering Load Adjustment by Guodong HAN, Peirong JI, Fei WANG

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ROBUST OPTIMIZATION DESIGN OF SUSPENSION BASED ON 6σ by FENG JinZhi, YANG ZhiFeng, YANG ZhenYi, LIN Yang, ZHENG SongLin

“…Based on the same constraints, the sequence quadratic optimization algorithm is used to deterministic optimize of the suspension and the robustness design of it. …”
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Design of mobile disposal platform for emergency and joint defense based on Hadoop by Zhang Lizhi, Li Xuewen

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Lattice‐based cryptosystems in standardisation processes: A survey by Anyu Wang, Dianyan Xiao, Yang Yu

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Optimization of structural parameters by using steels of different strengths by A. K. Yusupov, H. M. Muselemov, R. I. Vishtalov

“…The constructed structural diagrams and calculation algorithm indicate the effectiveness of using steels of different strengths in the design of beams and columns.…”
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A survey of neural architecture search by Mingjie HE, Jie ZHANG, Shiguang SHAN

“…Recently,deep learning has achieved impressive success on various computer vision tasks.The neural architecture is usually a key factor which directly determines the performance of the deep learning algorithm.The automated neural architecture search methods have attracted more and more attentions in recent years.The neural architecture search is the automated process of seeking the optimal neural architecture for specific tasks.Currently,the neural architecture search methods have shown great potential in exploring high-performance and high-efficiency neural architectures.In this paper,a survey in this research field and categorize existing methods based on their performance estimation methods,search spaces and architecture search strategies were presented.Specifically,there were four performance estimation methods for computation cost reduction,two typical neural architecture search spaces and two types of search strategies based on discrete and continuous spaces respectively.Neural architecture search methods based on continuous space are becoming the trend of researches on neural architecture search.…”
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Monitoring the efficiency of organisation’s internal control and economic security system by O. A. Ageeva, Yu. D. Matytsyna

“…As a result, the authors proposed a monitoring algorithm that ensures the internal control system and economic security effectiveness.…”
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Using the Elzaki decomposition method to solve nonlinear fractional differential equations with the Caputo-Fabrizio fractional operator by Mohammed Abdulshareef Hussein

“… The techniques of fractional calculus are applied successfully in many branches of science and engineering, one of the techniques is the Elzaki Adomian decomposition method (EADM), which researchers did not study with the fractional derivative of Caputo Fabrizio. …”
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Quality Evaluation in Hospital Operations Management Using Multi-Criteria Decision-Making with Plithogenic Approach to Address Uncertainty and Enhance Decision-Making Processes by Meng Zhang, Yafang Li

“…Alternatives are ranked using the plithogenic reference-based normalization alternative ranking (RBNAR) technique. Thus, the algorithm for plithogenic-RBNAR is constructed and presented. …”
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User Utility Oriented Queuing Model for Resource Allocation in Cloud Environment by Zhe Zhang, Ying Li

“…Resource allocation is one of the most important research topics in servers. In the cloud environment, there are massive hardware resources of different kinds, and many kinds of services are usually run on virtual machines of the cloud server. …”
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Fuzzy Analytical Hierarchy Process Method to Determine the Quality of Gemstones by Mochammad Sobandi Dwi Putra, Septi Andryana, Fauziah, Aris Gunaryati

“…F-AHP is easy to adapt to many decision issues; the research proposes a decision-making system using the F-AHP algorithm to analyze the quality of gemstones. …”
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Fitness & Sports Medicine by Kölling S, Kellmann M, 2

“…Additionally, current trends and approaches of individualized data analyses to guide an informed decision are discussed. Further research on the applicability of statistical strategies for psychometric data is required. …”
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Assessing Reliability and Energy Security Through PLANS and EA-PSM Software Simulations by Piotr Hadaj, Dominik Strzałka

“…The research highlights the critical role of these simulations in integrating renewable energy sources and ensuring efficient, sustainable, and resilient power systems. …”
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Fault prediction of smart meter based on spatio-temporal convolution neural network by Gao Wenjun, Xue Binbin, Pang Zhenjiang

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Tourist Behavior Pattern Mining Model Based on Context by Dong-sheng Liu, Shu-jiang Fan

“…Personalized travel experience and service of tourist has been a hot topic research in the tourism service supply chain. In this paper, we take the context into consideration and propose an analyzed method to the tourist based on the context: firstly, we analyze the context which influences the tourist behavior patterns, select the main context factors, and construct the tourist behavior pattern model based on it; then, we calculate the interest degree of the tourist behavior pattern and mine out the rules with high interest degree with the association rule algorithm; we can make some recommendations to the tourist with better personalized travelling experience and services. …”
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Analysis of Pulse System Dynamics of Phase Synchronization in Multiple Capture Mode by A. L. Shilina

“…The paper considers a model, a method and an algorithm of the simulation of the pulse system dynamics of phase synchronization in the multiple capture mode. …”
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A New Robust Adaptive Control Method for Complex Nontriangular Nonlinear Systems by Lingrong Xue, Zhen-Guo Liu

“…The existing research studies on adaptive control frequently introduce many parameter estimations and lead to a complicated controller. …”
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