A New Scheduling Quantitative Feedback Theory-Based Controller Integrated with Fault Detection for Effective Vibration Control by R. Jeyasenthil, Yang-Sup Lee, Seung-Bok Choi

“…The idea is centered on comparing the closed-loop output between the faulty system and fault-free one to schedule/switch the feedback control once the fault occurs. The problem addressed in this work is the output disturbance rejection. …”
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THE NATURA 2000 NETWORK IN SPAIN AND ITS LACK OF PROTECTION by Manuel Cabalar FUENTES, Miguel Pazos OTÓN, Francisco José Armas QUINTÁ, Xosé Carlos Macía ARCE

“… Protected Natural Areas are one of the most frequently used tools for preserving the main natural features of a territory. Over time their focus has evolved from a prevalence of basically aesthetic criteria (spectacular landscapes with picturesque features such as high mountains, thickly wooded forests or rugged coastlines) to a more global vision that includes the conservation of the diversity of habitats present in any given territory. …”
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AI-Based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities With Spherical Fuzzy Decision Algorithm by Lin Yang

“…This article evaluates intelligent AI-based models for low-energy buildings and economic development under some specific characteristics or key features. For this purpose, we modified the theory of criteria importance through intercriteria correlation (CRITIC) and combined compromise solution (COCOSO) methods to assess suitable optimal options for the multi-attribute group decision-making (MAGDM) problem. …”
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Research of migration processes in electronic social networks by A. A. Grebenyuk, A. A. Subbotin

“…The problem of the information obtained with their help lies in such limitations as accessibility (technical features of specific platforms), representativeness (insufficient development of statistical techniques for evaluation) and variability of user preferences. …”
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Heterogeneous Graph Neural-Network-Based Scheduling Optimization for Multi-Product and Variable-Batch Production in Flexible Job Shops by Yuxin Peng, Youlong Lyu, Jie Zhang, Ying Chu

“…In view of the Flexible Job-shop Scheduling Problem (FJSP) under multi-product and variable-batch production modes, this paper presents an intelligent scheduling approach based on a heterogeneity-enhanced graph neural network combined with deep reinforcement learning. …”
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Theoretical approaches to the definition of the concept of «tourism»: its essence and characteristics by N.P. Syroid

“…Therefore, we have made a comparative description of these concepts and given the features by which they differ, in particular, the entity of activity, the purpose and type of activity. …”
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Pilot Maneuvering Performance Analysis and Evaluation with Deep Learning by Shiwen Zhang, Zhimei Huo, Yanjin Sun, Fujuan Li, Bo Jia

“…Besides, when it is used on a binary classification problem, the result improves to 78.18%. Finally, the indicators were grouped into 5 common factors by factor analysis and fed into 1-D CNN in different combinations. …”
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The unique properties of microorganisms that form a biofilm of the oral cavity by H. A. Loban, M. O. Faustova, M. M. Ananieva, Ya. O. Basarab

“…The biofilm mode of growth leads to the expression of gene sets which determine the features of metabolism and properties of microorganisms in biofilms. …”
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THE IMPACT OF COUPON PAYMENT FREQUENCY ON BOND DURATION by N. V. Popova

“…The frequency of coupon payments per year is not among factors that have the key impact on the investment features of bonds. Scientists have already mentioned the impact of this factor on bond duration. …”
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Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques by Kais Abdulmawjood, Walid G. Morsi

“…Although this phenomenon is temporary in nature, it is considered an intermittent fault, and it is essential for a protection system to differentiate it from other fault conditions to avoid unnecessary tripping. The main problem in identifying partial shading in a PV system is the difficulty of extracting its features under different shading conditions. …”
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PRECEDENCE IN MEDIA DISCOURSES: ON THE STUDY OF VERBAL AND NON-VERBAL PHENOMENA by T. V. Marchenko

“…The aim of the research is to analyze the peculiarities and features of the actualization of precedence in semiotically complicated texts of the present-day media space.The article provides a brief overview of the main research approaches to the interpretation of the properties of the media text, precedence and types of precedent phenomena. …”
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Phaseless Diagnosis and Pattern Correction of Faulty Antenna Arrays via Advanced Bayesian Compressive Sensing Approaches by Zi An Wang, Ping Li

“…Meanwhile, to address the detected faults effectively, a novel pattern correction method within an alternate projection framework is further developed to recover the pattern features with minimal corrections. This method features a modified forward projection rule to accelerate convergence and utilizes a BCS algorithm during backward projection to find sparse correction vectors. …”
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A Geospatial Information Grid Framework for Geological Survey. by Liang Wu, Lei Xue, Chaoling Li, Xia Lv, Zhanlong Chen, Mingqiang Guo, Zhong Xie

“…The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. …”
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A location semantic privacy protection model based on spatial influence by Linghong Kuang, Wenlong Shi, Xueqi Chen, Jing Zhang, Huaxiong Liao

“…Mining such data unveils internal and external user features, offering significant application value across various domains. …”
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Developmental maturation of dynamic causal control signals in higher-order cognition: a neurocognitive network model. by Kaustubh Supekar, Vinod Menon

“…One skill that develops over time is the ability to problem solve, which in turn relies on cognitive control and attention abilities. …”
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Design and Evaluation of a Framework for Cooperative and Adaptive QoS Control of DSRC Network for Road Safety Applications by Wenyang Guan, Jianhua He, Zuoyin Tang, Thomas M. Chen

“…In this paper we examine the QoS control problem for CSA in the DSRC based vehicle networks and presented an overview of the research work towards the QoS control problem. …”
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Multi-Scale Time Series InSAR Integrated with ICA for Deciphering the Coupling Mechanism Between Groundwater Dynamics and Surface Deformation by Zihan Yu, Qin Wang, Huili Gong, Chaofan Zhou, Beibei Chen, Yongkang Wang

“…Land subsidence has become an increasingly serious environmental problem worldwide, especially in areas where groundwater is over-exploited. …”
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Combining MAMBA and Attention-Based Neural Network for Electric Ground-Handling Vehicles Scheduling by Jiawei Li, Weigang Fu, Gangjin Huang, Kai Liu, Jiewei Zhang, Yaoming Fu

“…The MAMBA model is designed to process multi-dimensional features such as flight information, vehicle locations, service demands, and time window constraints. …”
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Neurocysticercosis by Osvaldo M. Takayanagui

“…Prevention strategies must rely on multiple approaches, tailoring each to the special features of the particular endemic area.…”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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