Charging Guidance of Electric Taxis Based on Adaptive Particle Swarm Optimization by Liyong Niu, Di Zhang

“…An electric taxis charging guidance model is established and guides the charging based on the positions of taxis and charging stations with adaptive mutation particle swarm optimization. The simulation is based on the actual data of Shenzhen charging stations, and the results show that electric taxis can be evenly distributed to the appropriate charging stations according to the charging pile numbers in charging stations after the charging guidance. …”
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An Aeromagnetic Compensation Algorithm for Aircraft Based on Fuzzy Adaptive Kalman Filter by Yao Zhang, Yu-Xin Zhao, Shuai Chang

“…In this paper, the classical aircraft aeromagnetic compensation algorithm based on Leliak Model is analyzed and an aircraft aeromagnetic compensation algorithm based on fuzzy adaptive Kalman filter is proposed, which is a new approach for aircraft to achieve aeromagnetic compensation. …”
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Career choices: Adaptation and initial evidence of the Work Volition Scale in Brazil by Fernanda Mendes Pires, Alexsandro Luiz De Andrade

“…This study’s objective was to adapt the Work Volition Scale to the Brazilian context and find initial validity evidence. …”
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Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources by Md Tariqul Islam, M. Jahangir Hossain, Md. Ahasan Habib, Muhammad Ahsan Zamee

“…Incorporating exogenous factors such as the time of day as a sensitivity gate input, further improves responsiveness, making the model more adaptable to real-world conditions. This advanced SERNN model offers a reliable framework for distribution network operators, supporting intelligent planning and proactive DER management. …”
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COURAGE AND FEAR IN THE CONTEXT OF OPPOSITION OF HUMAN ACTIVITY AND INACTIVITY: EXISTENTIAL ASPECT by Dmytro Yu. Snitko

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Remodeling the light-adapted electroretinogram using a bayesian statistical approach by Marek Brabec, Fernando Marmolejo-Ramos, Lynne Loh, Irene O. Lee, Mikhail Kulyabin, Aleksei Zhdanov, Hugo Posada-Quintero, Dorothy A. Thompson, Paul A. Constable

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Adaptive decentralized AI scheme for signal recognition of distributed sensor systems by Shixiong Zhang, Hao Li, Cunzheng Fan, Zhichao Zeng, Chao Xiong, Jie Wu, Zhijun Yan, Deming Liu, Qizhen Sun

“…By fine-tuning pre-trained model with the unlabeled data in each domain, the ADAI scheme can train a series of adaptive AI models for all target domains, significantly reducing the false alarm rate (FAR) and missing alarm rate (MAR) induced by domain differences. …”
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Taxation and Budget Reform Commission (TBRC) Statutory Recommendation: Transportation Funding by Rodney L. Clouser

“… A series of 16 fact sheets by Rodney L. Clouser, inform the public on issues related to statutory and constitutional proposals adopted by the Taxation and Budget Reform Commission (TBRC). …”
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Adaptive particle filter for state estimation with application to non‐linear system by Fangfang Zhao, Ruijie Cai

“…In order to reduce the impact of this problem, this paper presents a new adaptive PF approach to improve the estimate accuracy. …”
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Analysis of Change in the Wind Speed Ratio according to Apartment Layout and Solutions by Won-gil Hyung, Young-Moon Kim, Ki-Pyo You

“…Apartment complexes in various forms are built in downtown areas. …”
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Big Data Analytics for the ATLAS EventIndex Project with Apache Spark by Álvaro Fernández Casaní, Carlos García Montoro, Santiago González de la Hoz, José Salt, Javier Sánchez, Miguel Villaplana Pérez

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CD47/SIRPα axis: bridging innate and adaptive immunity by Sjoerd H van der Burg, Anneloes van Duijn, Ferenc A Scheeren

“…In this perspective we provide an overview of recent studies showing how therapeutic blockade of the CD47/SIRPα axis improves the adaptive immune response. Furthermore, we discuss the interconnection between the myeloid CD47/SIRPα axis and adaptive T cell responses as well as the potential therapeutic role of the CD47/SIRPα axis in tumors with acquired resistance to the classic immunotherapy through major histocompatibility complex downregulation. …”
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Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF by Dapeng Cheng, Yanyan Mao, Yin Wang, Xiangrong Wang

“…In this paper, we present an energy adaptive CI-based flooding protocol (EACIF) by exploiting CI in WSN-AF. …”
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Modularity and adaptive architecture – A strategy for managing complex envelope systems by Valentino Manni, Luca Saverio Valzano

Subjects: “…adaptive architecture…”
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Adaptation and psychometric properties of the Multigroup Ethnic Identity Inventory in secondary education by S. Suherman, T. Vidákovich

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A Self-Adaptive and Link-Aware Beaconless Forwarding Protocol for VANETs by Changle Li, Yun Chen, Xiaolei Han, Lina Zhu

“…With the development of networks, Vehicular Ad-hoc Networks (VANETs) which act as the emerging application enhance the potential power of networks on the traffic safety and the entertainment. …”
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Genome Sequencing Reveals the Adaptation of Chickens to High Altitudes in Different Regions by Yizhou Hu, Xing Li, Qixin Guo, Lan Huang, Hao Bai, Guobin Chang

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A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System by S. M. Odeh, A. M. Mora, M. N. Moreno, J. J. Merelo

“…In this work, it has been used to adapt the decision rules of FLCs that define an intelligent traffic signal system, obtaining a higher performance than a classical FLC-based control. …”
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Adapting Southeast Asian Best Practices for Sustainable Development in Banyumas Regency by Darmawan Arif, Afwa Ulil, Hongsiwet Sunae, Fitrah Elpeni, Srirejeki Kiky, Miryanti Renny, Yuliantiningsih Aryuni, Pascarina Hanifa

“…This study explores the adaptation of successful sustainable development practices from Southeast Asia to Banyumas Regency, Indonesia, as local implementation of the Sustainable Development Goals (SDGs) becomes crucial. …”
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The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing by Yangyang Li, Jianping Zhang, Guiling Sun, Dongxue Lu

“…This paper proposes a novel sparsity adaptive simulated annealing algorithm to solve the issue of sparse recovery. …”
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