Quatro Décadas de Transformações: A vilegiatura marítima no litoral metropolitano de Fortaleza, Ceará – Brasil by Prof. Dr. Alexandre Queiroz Pereira

“…Considering the locational advantages historically produced, the process consolidates the urbanization of the metropolitan coastal space in Fortaleza. …”
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ELASTIC AND DISSIPATIVE MATERIAL PROPERTIES DETERMINATION USING COMBINATION OF FEM AND COMPLEX ARTIFICIAL NEURAL NETWORKS by Arkady Nikolayevich Solovyev, Truong Giang Nguyen Duy

“…The additional information to the inverse problem is components of the displacement vector measured in a set of points at the solid boundary (positional measurement). …”
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Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer by Xiaoqiang ZHAO, Shuai WU, Chuanyi GAO, Ning LI, Bodong LI, Xiaoyong YANG

“…Node location is an important problem in wireless sensor network.Although the location algorithm based on distance measurement has small positioning error, it has many limitations when applied to outdoor environments.Therefore, based on the original distance vector-hop (DV-Hop) algorithm, received signal strength indication (RSSI) technology and the minimum mean square error (MMSE) criterion to modify the algorithm’s ranging process were introduced, and the improved gray wolf optimizer was used to optimize the process of determining the coordinates of unknown nodes.Simulation results show that, compared with the original DV-Hop algorithm and IPDV-Hop algorithm, the average location error rate of the IGDV-Hop algorithm under the initial parameters was reduced by 28% and 17% respectively, and the location effect was significantly improved.…”
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Facial expression using Histogram of Oriented Gradients and Ensemble Classifier by Maher Kh. Hussien, Fawziya Mahmood Ramo

“…The first method relies on extracting features from the face area, and the second method relies on the process of extracting features on the parts of the face (eyes, nose, and mouth) where the histogram of oriented gradients (HOG) algorithm was used in the feature extraction process in addition to the principal component analysis algorithm to reduce feature dimensions in both methods. …”
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Unitary transformations using robust optimal control on a cold atom qudit by E. Flament, N. Ombredane, F. Arrouas, D. Ronco, B. Peaudecerf, D. Sugny, D. Guéry-Odelin

“…To evaluate the quality of these transformations, we employ standard quantum process tomography. In addition, we show how controlled unitary transformations can be used to extend state stabilization to global stabilization within a controlled vector subspace. …”
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Dielectric Relaxation Spectroscopy in Synthetic Rubber Polymers: Nitrile Butadiene Rubber and Ethylene Propylene Diene Monomer by Young Il Moon, Jae Kap Jung, Ki Soo Chung

“…In the high-temperature region, we found Maxwell–Wagner–Sillars (MWS) relaxation associated with polymer interfacing and normal-mode (α’) relaxation responsible for end-to-end dipole vector motion. The activation energies of schematic molecular chains responsible for the relaxation processes were obtained with the information about its motional mode. …”
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Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

“…With the advancement of computer technologies, various data models and algorithms have been integrated into industrial processes, significantly improving the efficiency of anomaly detection in datasets while reducing time and energy consumption. …”
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Secure Data Collection Method Based on Quantum Encryption Algorithm for Power IoT Gateway by ZHANG Jingxin, CHEN Chao, ZHANG Ping

“…The original keys in different quantum states are encoded and processed to output the bit sequences with the information of security key. …”
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PSYCHOLOGICAL AND PEDAGOGICAL FEATURES OF TEACHING MEDICAL AND BIOLOGICAL PHYSICS by Fediv Volodymyr, Olar Оlena, Biriukova Tetiana

“…The objective of the study is to analyze the problem of optimizing the psychological and pedagogical component of the educational process in the studying of physical and mathematical courses by medical students. …”
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Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier by Kun Zhang, Minrui Fei, Xin Li, Huiyu Zhou

“…Experimental results show that the proposed unascertained least square support vector machine (ULSSVM) has better recognition accuracy than the other state-of-the-art techniques, and its training process takes less time than most of the traditional approaches presented in this paper.…”
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MODELING OF WATER CIRCULATION IN THE ANTARCTIC SUBGLACIAL LAKE VOSTOK by G. V. Kazko, L. M. Savatyugin, I. N. Sokratova

“…Some results of modeling of the convective processes in the lake, obtained at the initial stage of circulation evolution using finite-difference grid with a spatial resolution of 8000 × 1500 ×30 mare shown.…”
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Neutrino Emission from Cooper Pairs at Finite Temperatures by Lev B. Leinson

“…It is shown that taking into account the anomalous weak interactions in both the vector and axial channels is very important for a correct description of neutrino energy losses through the PBF processes. …”
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THE THE GREAT CASPIAN IN MODERN GEOPOLITICAL CONDITIONS by K. Al. Markelov

“…The space of the Greater Caspian Sea, as an explosive center of global and regional interests of multi-vector forces of international influence, is actively involved in these processes. …”
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Massive two-loop four-point Feynman integrals at high energies with AsyInt by Hantian Zhang

“…These results are important ingredients for the two-loop electroweak and QCD corrections for 2 → 2 scattering processes in the large transverse momenta region, which is relevant to both precision collider phenomenology and new physics searches at current and future high-energy colliders. …”
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Timeless Approach to Quantum Jumps by Ignazio Licata, Leonardo Chiatti

“…We propose here a simple preliminary model that considers quantum jumps as processes of entry to and exit from the usual temporal domain to a timeless vacuum, without contradicting the quantum relativistic formalism, and we present some potential connections with particle physics. …”
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Deep learning approach to bacterial colony classification. by Bartosz Zieliński, Anna Plichta, Krzysztof Misztal, Przemysław Spurek, Monika Brzychczy-Włoch, Dorota Ochońska

“…It can be achieved using computer-aided methods, which make the recognition processes more automatic and thus significantly reduce the time necessary for the classification. …”
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Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation by Yong-chun Cheng, Peng Zhang, Yu-bo Jiao, Ye-dan Wang, Jing-lin Tao

“…Ultrasonic detection method is used to determine the ultrasonic velocity of asphalt mixture specimen under different temperatures and water contents in the process of water-temperature-radiation cycles. Thus, we get the preliminary damage assessment. …”
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An improved sliding mode observer algorithm for PMSM based on deformable fuzzy neural network by Xiaolin Li, Na Liu, Juan Song, Yiyan Zhang

“…This improved algorithm accurately obtains the Jacobian matrix of the PMSM through an RBF neural network parameter identifier, and based on this, it rapidly determines the structural situation of the deformable fuzzy neural network through a variable structure learning process. Simulation results obtained from MATLAB/Simulink demonstrate that this estimation algorithm enhances the speed control accuracy of the PMSM vector control system by 5.9% when compared to the proportion integral differential (PID) speed controller algorithm and by 26.9% when compared to the sliding mode speed controller algorithm. …”
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Chebyshev Distance Entropy Combined with TODIM Method in Lq-ROFS Multiattribute Group Decision Making by Yangcan Wang, Xin Tang, Yutong Pan, Mingqian Cai

“…Based on Lq-ROFS, this paper first proposes the Chebyshev distance metric, then develops the Chebyshev distance entropy for deriving objective solution of decision makers’ (DMs’) weight vector and attribute weight vector by combining the metric and entropy measure. …”
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Transformation of Nonmultiple Cluster Music Cyclic Shift Topology to Music Performance Style by Jing Li

“…We divide each piece of music into multiple segments and extract the features of each segment. The specific process includes nonmultiple cluster music file note extraction, main melody extraction, segment division, and segment feature extraction. …”
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