EFFECT OF PHASE-SHIFT INTERFERENCE ON THE NOISE IMMUNITY OF CORRELATION DEMODULATOR OF SIGNALS WITH MULTIPLE PHASE SHIFT KEYING by Gennady V. Kulikov, Van Dung Nguyen, Trung Tien Do

“…The energy and spectral advantages of signals with phase shift keying predetermined their widespread use in modern digital navigation, communications and television systems. …”
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Heuristic Algorithms for the Heterogeneous Vehicle Routing Problem With Time Windows, Customers Priority, Pickup and Delivery by Moayad Tanash, Rami As'Ad

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Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput by Guo-qing JI, Gang WANG, Hong-bo ZHU

“…The achievable data throughput of the cognitive network was modeled to optimize the overhead and performance of the cooperative system thoroughly.Considering the soft data combination decision,the joint trade-off optimization of the local sampling number and cooperative user number was modeled based on the achievable data throughput.The global optimal solution was achieved with inexact line search algorithm,which is based on Armijo rule and lopsided search step technique.Consequently,the validity of the optimization model was verified both by the numerical computation and by Monte-Carlo simulation tests.The joint trade-off optimization of the sampling number and cooperative user number was achieved in cooperative sensing based on the throughput maximizing criterion.…”
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Low complexity hybrid iterative algorithm based signal detection in massive MIMO system by Shufeng ZHAO, Bin SHEN, Furong YANG

“…Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration,a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile,an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile,the complexity is reduced by an order of magnitude,which is kept consistently of O(K ²).…”
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On Fuzzy Soft Expert Sets by Hilal Donmez, Serdar Enginoglu

“…However, the paper Fuzzy Soft Expert Sets [Applied Mathematics, 2014, 5, 1349-1368] has some mistakes and the decision making algorithm given in this paper has some unnecessary steps. …”
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ALGORITHM FOR CALCULATING NEOTECTONIC STRESSES IN PLATFORM AREAS BY THE STRUCTURAL-GEOMORPHOLOGICAL METHOD by Yu. L. Rebetskiy, L. A. Sim, A. V. Marinin

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Polynomial estimation method for PN sequence based on reliability accumulation by Song CHEN, Kai-zhi HUANG, Hua ZHAO

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Polynomial estimation method for PN sequence based on reliability accumulation by Song CHEN, Kai-zhi HUANG, Hua ZHAO

Subjects: “…m sequence;primitive polynomial;reliability;BM algorithm;soft information…”
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Efficiency of adaptive filter with envelope tracking algorithm when receiving signals with multi-position PSK against the background of non-fluctuation interferences by G. V. Kulikov, Trung Tien Do

“…The article evaluates the effectiveness of using such a filter with an algorithm for setting weight coefficients that controls the constant envelope of a useful signal when receiving signals with multi-position phase shift keying against the background of noise and non-fluctuation interference. …”
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Artificial Bias Induction in Fourth-Order Cumulants Based Automatic Modulation Classification Algorithm in AWGN and Multipath Propagation Channel by R. Bozovic, V. Orlic, G. Kekovic

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Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

“…This paper presents a study on multi-objective optimization (MOO) of shield operational parameters (SOPs) for soft ground tunneling using a tunnel boring machine (TBM) in an urban environment, focusing on the case study of the MRT Blue Line in Bangkok. …”
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АЛГОРИТМ РОЗРАХУНКУ КОЕФІЦІЄНТА МОЖЛИВОСТІ ВПС ООДК ЩОДО ЗДІЙСНЕННЯ ПРИКОРДОННОГО КОНТРОЛЮ В ПУНКТІ ПРОПУСКУ... by Boris F. Yeroshyn, Sergiy P. Hetmaniuk, Vladimir V. Byrlin

Subjects: “…algorithm…”
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Thermal Runaway Detection Method for Smart Electric Bicycle Charger by Jing Ning, Bing Xiao, Wenbin Zhao

Subjects: “…current area integral algorithm…”
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Cooperative Signaling with Soft Information Combining by Rui Lin, Philippa A. Martin, Desmond P. Taylor

“…The destination uses a modified metric within a Turbo decoding algorithm to scale the soft information calculated for the relay code. …”
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Soft Schemes for Earthquake-Geotechnical Dilemmas by Silvia García

“…During the past years, soft computing techniques have been used for developing unconventional procedures to study earthquake geotechnical problems. …”
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A Comparative Study Between Soft Actor-Critic (SAC) and Deep Deterministic Policy Gradient (DDPG) Algorithms for Solar PV MPPT Control Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…This paper presents a soft actor-critic (SAC) algorithm for solving PV MPPT control problems under PSCs. …”
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A Summary of Bidirectional DC-DC Converter Applied in Power Electronic Transformer by WANG Yang, ZHAO Nan, ZHANG Jiepin, YANG Jingxi, LIU Jianqiang

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Digital filtering of square signals of chains' vector analizers by D. A. Kondrashov, A. V. Gusinsky, A. M. Kostrikin, M. S. Svirid

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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

Subjects: “…machine learning algorithms…”
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Myoelectric Control in Rehabilitative and Assistive Soft Exoskeletons: A Comprehensive Review of Trends, Challenges, and Integration with Soft Robotic Devices by Alejandro Toro-Ossaba, Juan C. Tejada, Daniel Sanin-Villa

“…Soft robotic exoskeletons have emerged as a transformative solution for rehabilitation and assistance, offering greater adaptability and comfort than rigid designs. …”
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