Multiple-Model Adaptive Estimation with A New Weighting Algorithm by Weicun Zhang, Sufang Wang, Yuzhen Zhang

“…A new scheme of weighted multiple-model adaptive estimation is presented, in which the classical weighting algorithm is replaced by a new weighting algorithm to reduce the calculation burden and to relax the convergence conditions. …”
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The Investigation on L1 Adaptive Control of the Tilt-Rotor Aircraft by Quanlong Chen, Shanyong Zhao, Ke Lu, Senkui Lu, Chunsheng Liu, Renliang Chen

“…Taking advantage of the separation of robustness and adaptive design of the L1 adaptive controller, adaptive gain, and low-pass filter are designed to achieve the desired control performance and meet the requirements of flight quality. …”
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Adaptive Attention with Consumer Sentinel for Movie Box Office Prediction by Kaicheng Feng, Xiaobing Liu

“…To improve the movie box office prediction accuracy, this paper proposes an adaptive attention with consumer sentinel (LSTM-AACS) for movie box office prediction. …”
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Dynamic adaptive trust evaluation model based on interaction-aware by Feng LI, Li-min SHEN, Ya-li SI, Jing-chun NIU

“…A dynamic adaptive trust evaluation model was established based on interaction-aware.The historical interaction window and trustworthy recommendation number was introduced in overall trust evaluation method,which overcomes the shortage of traditional models that lack the capacity to interaction-aware.The direct trust accumulation method based on interaction satisfaction degree iterative calculation was proposed,which achieved the incentive and penalty iterative strategy based on entity stability factor,and effectively inhibits malicious entities with camouflage.A synthetical recommendation trust aggregating method based on combination of direct and indirect recommendation trust was given,which solved the accuracy low and unreliable problems of traditional recommendation methods by introducing entity familiarity factor and scoring similarity factor.Simulation results show that,compared to the existing trust model,the model can effectively improve the accuracy of trust evaluation,and can provide a better capacity of resisting collusive entities.…”
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EU climate countdown: economic risks, adaptation and smart policies by Ana-Elena Varadi, Oana-Ramona Lobont, Sorana Vatavu

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The role of delays in innate and adaptive immunity to intracellular bacterial infection by Simeone Marino, Edoardo Beretta, Denise E. Kirschner

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Adaptive user behavior's evaluation method based on network status by You LU, Jun-zhou LUO, Wei LI, Feng YU, Nu XIA

“…This method can construct and dynamically adjust the evaluation indexes and their weight adaptive the actual data. The evaluation results show this method can help to detect and manage users who affect the stability of net-work, and provide effective support to control users and their beha ior.…”
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Using the Kirton Adaption-Innovation Inventory to Strengthen Extension Programs by Alexa J. Lamm, Ricky W. Telg

“…(Photo credit: Rawpixel Ltd/iStock/Thinkstock.com) AEC573/WC235: Using the Kirton Adaption-Innovation Inventory to Strengthen Extension Programs (ufl.edu) …”
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The Catholic Church in Lithuania in 1940-1990: between Resistance and Adaptation by Arūnas Streikus

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Selective Extraction of Entangled Textures via Adaptive PDE Transform by Yang Wang, Guo-Wei Wei, Siyang Yang

“…The proposed adaptive PDE transform is applied to the selective extraction of entangled textures. …”
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Adaptive features of winter triticale accessions from the VIR collection by N. Sh. Garaeva, S. N. Ponomarev, M. L. Ponomareva

“…Genotypes were identified for their high general adaptability, i. e., securing the highest average yield in the entire set of environments. …”
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Adaptive Reduction of Curse of Dimensionality in Nonparametric Instrumental Variable Estimation by Ming-Yueh Huang, Kwun Chuen Gary Chan

“…The proposed nonparametric sufficient dimension reduction framework imposes no constraints on the distribution of the observed data while mitigating the curse of dimensionality in a data-adaptive manner.…”
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An Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization by Tae Jong Choi, Chang Wook Ahn, Jinung An

“…Well-designed adaptive or self-adaptive parameter control method can highly improve the performance of DE. …”
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Intelligent adaptation and integrated scheduling method for computing and networking resources by Weiting ZHANG, Chenghui SUN, Hongchao WANG, Jianing DAI

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Agroecology and the limits to resilience: extending the adaptation capacity of agroecosystems to drought by Miguel A. Altieri, Clara I. Nicholls, Rene Montalba, Lorena Vieli, Luis L. Vazquez

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Fault Diagnosis Method of Gear based on Adaptive Demodulated Resonance by Lian Peng, Yang Jianwei, Yao Dechen

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Sensorimotor adaptation reveals systematic biases in 3D perception by Chaeeun Lim, Dhanraj Vishwanath, Fulvio Domini

“…The resulting visuomotor adaptations and aftereffects demonstrated that the planned grip size, determined by the visually perceived depth of the object, was consistently overestimated. …”
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A Design of Adaptive Quantizer for MPEG-2 Video Coding by 孙军, 张文军, 余松煜

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A Formula Adaptive Pixel Pair Matching Steganography Algorithm by Min Long, Fenfang Li

“…As an important derivation, adaptive pixel pair matching method (APPM) offers low distortion and allows embedded digits in any notational system. …”
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Adaptive SDN switch migration mechanism based on coalitional game by Lan YAO, Julong LAN

“…The problem of poor control plane performance causes in software-defined Networking due to the unreasonable mapping relationship between controllers and switches.To address this issue,an adaptive switch migration mechanism based on coalitional game was proposed.First,comprehensively considering the controller resource utilization,control overhead,and flow establishment time,the switch migration problem was modeled as a combination optimization problem.Then,a game theory was introduced to design a distributed algorithm,where each controller ran control logic independently and implemented coalitional game between controllers to achieve an adaptive switch migration mechanism that adapted to traffic characteristics.The simulation results show that the proposed mechanism can better adapt to the flow characteristics,reduce the control traffic overhead by about 19% and the average flow settling time by 30%,and improve the controller resource utilization.…”
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