A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area by A. W. Reza, K. Dimyati, K. A. Noordin, M. J. Islam, M. S. Sarker, H. Ramiah

“…The proposed system outperforms the existing techniques in terms of algorithmic complexity and demonstrates that the computation time can be reduced as high as 99% and 75%, respectively, as compared to existing algorithms. …”
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IEEE 802.15.4 based topology control and routing for mobile Sink wireless sensor networks by TONG Jie1, YANG Fan2, QIAN De-pei1

“…Based on the standard of IEEE 802.15.4b,a cross-layer protocol design combining cluster-tree formatting and mobile routing was proposed for query-driven wireless sensor networks with mobile Sink（s）.Firstly,energy consumption,network connectivity,load balancing and sub-tree depth were employed as the evaluation factors.A topology evaluation function under a multi-objective optimization model was defined to construct the stable and optimal underlying clus-ter-tree network.Secondly,the beacon frame scheduling based distributed sleep synchronization algorithm in IEEE 802.15.4 MAC was improved,which was used to maintain the network synchronization and topology correction on low duty-cycle.Thirdly,the parent-child relationships established during the topology formatting according to "first beacon","best links","top level" rules were exploited to build the two-way routing paths between mobile Sink（s） and the nodes within N-Hop range.Eventually,the topology control schemes at MAC layer and the query routing approach at network layer were completely implemented in the protocol stack of TinyOS.The experimental results show that the evaluation function can effectively reflect the quality of network formatting.Jointed with the sleep synchronization mechanism un-der the topology generated using the rule of "best links",the N-Hop reactive routing exhibits high energy-efficiency.…”
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Modeling and Error Compensation of Robotic Articulated Arm Coordinate Measuring Machines Using BP Neural Network by Guanbin Gao, Hongwei Zhang, Hongjun San, Xing Wu, Wen Wang

“…Experimental studies have been conducted to verify the proposed algorithm with neural network compensation, which shows that 97% error of the AACMM can be eliminated after compensation. …”
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Fog Study at Ardabil Airport for the Statistical Period From 2011 to 2020 by Razieh Pahlavan, Mohammad Moradi, Sahar Tajbakhsh, Majid Azadi, Mehdi Rahnama

“…In this study, METAR data from 2011 to 2020 were used to detect fog events at Ardebil Airport and according to the classification algorithm of Tardif and Rasmussen (2007), the types of events were determined. …”
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Reusable attribute-based signature with attribute revocation and authenticated key agreement by ZHANG Zhishuo, YANG Huixi, HUANG Wen, LIAO Yongjian, ZHOU Shijie

“…Additionally, an attribute-Hash filter algorithm was introduced to facilitate a direct attribute revocation mechanism within the proposed VP-ABS scheme. …”
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A novel oversampling method based on Wasserstein CGAN for imbalanced classification by Hongfang Zhou, Heng Pan, Kangyun Zheng, Zongling Wu, Qingyu Xiang

“…It generates an initial balanced dataset from minority class samples using the CGAN oversampling approach and then uses a noise and boundary recognition method based on K-means and $$k$$ k nearest neighbors algorithm to address the noise and boundary-blurring issues. …”
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A Grounding Current Prediction Method Based on Frequency-Enhanced Transformer by Na Zhang, Gang Yang, Zilong Fu, Junsheng Hou

“…Firstly, in the data preprocessing stage, the best frequency domain decomposition algorithm is designed to obtain the high-frequency and low-frequency component data containing different component features so as to enhance the initial features that the model focuses on. …”
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Recognition of biosignals with nonlinear properties by approximate entropy parameters by L.A. Manilo, A.P. Nemirko

“…Its parameters can be used to detect dynamic irregularities associated with nonlinear properties of signals. The algorithm for calculating this characteristic is consid-ered in detail. …”
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Prediction of Punching Capacity of Slab-Column Connections without Transverse Reinforcement Based on a Backpropagation Neural Network by Jie Bu, FanZhen Zhang, Meng Zhu, Zhiyang He, Qigao Hu

“…Then, based on the Levenberg–Marquardt (LM) algorithm and using the nonlinear function of the backpropagation neural network (BPNN), a prediction model of the punching capacity of slab-column connections without transverse reinforcement is established. …”
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Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method by Seungyeoun Lee, Donghee Son, Wenbao Yu, Taesung Park

“…For gene-gene interaction analysis, the multifactor dimensionality reduction (MDR) method has been widely applied, since the constructive induction algorithm of MDR efficiently reduces high-order dimensions into one dimension by classifying multi-level genotypes into high- and low-risk groups. …”
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A Fair Group Recommendation System Based on Members and Leader Influences by Mostafa Sabzekar, Bentolhoda Moazeni

“…Additionally, a novel criterion for delivering fair recommendations to the group is proposed, suggesting items to users with the most positive feedback among all group members. The proposed algorithm is compared with similar algorithms in this domain in two sections. …”
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Quantum Fuzzy Inference Engine for Particle Accelerator Control by Giovanni Acampora, Michele Grossi, Michael Schenk, Roberto Schiattarella

“…In this scenario, a quantum fuzzy inference engine (QFIE) was proposed as a quantum algorithm able to generate an exponential computational advantage over conventional fuzzy inference engines. …”
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An individual-level probabilistic model and solution for control of infectious diseases by Ye Xia

“…Moreover, the same theoretical result shows why the simple algorithm of repeated integration can find numerical solutions for virtually all initial conditions. …”
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Study on Adiabatic Temperature Rise Reflecting Hydration Degree of Concrete by Yanhua Han, Shaojun Fu, Shufa Wang, Zuowei Xie

“…Therefore, BP neural network method is an effective way to calculate the thermal parameters, and BP inversion algorithm provides a new way for accurately study the temperature profile of mass concrete structures.…”
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Invariant Measures Based on the U-Correlation Integral: An Application to the Study of Human Voice by Juan F. Restrepo, Gastón Schlotthauer

“…These invariants were estimated through an automated algorithm based on the recently proposed U-correlation integral. …”
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Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson’s Disease by Serena Dattola, Augusto Ielo, Angelo Quartarone, Maria Cristina De Cola

“…The k-means clustering algorithm was employed, achieving a classification accuracy of 76% for tremor versus non-tremor states. …”
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A Bistatic Imaging Method for GEOSAR in the Strip Mode and UAVSAR in the Steering Beam Mode by W. Zhuo-qun, L. Ya-jun, S. Sheng, L. Shuang-shuang, X. Jin-guo, W. Jun-qiang, Z. Jian-hua

“…Compared with the traditional imaging method, the simulation validates perfectly the effectiveness of the bistatic imaging algorithm.…”
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Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application by Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse, Ahlam H. Tolba

“…We apply the Metropolis–Hasting algorithm to generate MCMC samples from the posterior density function. …”
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Sintesis Dimensi Manipulator Paralel Bidang Dua Derajat Kebebasan Dengan Rantai Kinematik Paralelogram Simetris by Adriyan Adriyan

“…An optimization process using non-sorted dominated genetic algorithm II (NSGA-II) was carried out for maximization of (<em>i</em>) <em>r</em>_MIC (the radius of the maximum inscribed circle) and GCI (global conditioning index), and (ii) <em>r</em>_MIC and GTI (global transmission index). …”
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Shield-Roof Interaction in Longwall Panels: Insights from Field Data and Their Application to Ground Control by Jingyi Cheng, Zhijun Wan, Yinlin Ji

“…Early warning of severe roof weighting can be achieved by establishing a warning model based on the decision tree algorithm. Apart from this, we can also assess the working condition of yield valve and diagnose fluid leakage of shield cylinder using the SSRI system. …”
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