Deep Binary Representation for Efficient Image Retrieval by Xuchao Lu, Li Song, Rong Xie, Xiaokang Yang, Wenjun Zhang

“…In this paper, we propose a new deep hashing method for efficient image retrieval. We propose an algorithm to calculate the target hash code which indicates the relationship between images of different contents. …”
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A New Decomposition Ensemble Learning Approach with Intelligent Optimization for PM2.5 Concentration Forecasting by Guangyuan Xing, Shaolong Sun, Jue Guo

“…Second, the ANN, whose connection parameters are optimized by APSO algorithm, is employed to model IMFs and residual terms, respectively. …”
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A State-Space Modeling Approach for Active Structural Acoustic Control by Leopoldo P.R. de Oliveira, Paulo S. Varoto, Paul Sas, Wim Desmet

“…The challenge thus resides in deriving reasonable sized models that integrate structural, acoustic, electrical components and the controller algorithm. The advantages of adequate active control simulation strategies relies on the cost and time reduction in the development phase. …”
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A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation by Qiang Hua, Chunru Dong, Feng Zhang

“…All the experiments are carried out on Labeled Face in the Wild (LFW) to verify the algorithm’s effectiveness against challenging uncontrolled conditions.…”
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A Model for Estimating Resiliency of AI-Based Classifiers Defending Against Cyber Attacks by Kousik Barik, Sanjay Misra, Luis Fernandez-Sanz

“…It illustrates the potential of using adversary-aware feature sampling to build more robust classifiers and use an optimized algorithm to maintain inherent resilience. The proposed model is achieved with an accuracy of 0.995, an F1 score of 0.9932, a precision of 0.9921, a recall (before an attack) of 0.987, a recall (after an attack) of 0.632, and a severity score of 0.363. …”
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DS-ARP: A New Detection Scheme for ARP Spoofing Attacks Based on Routing Trace for Ubiquitous Environments by Min Su Song, Jae Dong Lee, Young-Sik Jeong, Hwa-Young Jeong, Jong Hyuk Park

“…In addition, it is simple and stable, as it does not use a complex algorithm or impose extra load on the computer system.…”
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Diagnosis of Functional Gastrointestinal Disorders and Choice of Treatment Regimen in Constipation Patients by I. V. Maev, A. N. Kazyulin, Yu. A. Kucheryavy, S. V. Cheryomushkin, A. Yu. Goncharenko, А. V. Gilyuk

“…The current diagnostic algorithm in chronic constipation includes the disease identification according to Rome Criteria IV, red-flag symptom detection and instrumental laboratory examination. …”
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IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information by Yanping Li

“…The results illustrate that the designed algorithm is useful for assessing the performance of financial management.…”
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Upper Bound on the Bit Error Probability of Systematic Binary Linear Codes via Their Weight Spectra by Jia Liu, Mingyu Zhang, Chaoyong Wang, Rongjun Chen, Xiaofeng An, Yufei Wang

“…The proposed bound on the bit error probability is derived with the framework of Gallager’s first bounding technique (GFBT), where the Gallager region is defined to be an irregular high-dimensional geometry by using a list decoding algorithm. The proposed bound on the bit error probability requires only the knowledge of weight spectra, which is helpful when the input-output weight enumerating function (IOWEF) is not available. …”
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Hybrid Filtered-x Adaptive Vibration Control with Internal Feedback and Online Identification by Lihua Yang, Shuyong Liu, Haipeng Zhang, Haiping Wu, Haifeng Li, Jian Jiang

“…In this paper, a novel hybrid improved adaptive control strategy, feedback and online identification filtered-x LMS, namely, FOFxlms, is proposed, which introduces the residual errors to correct variable step-size, uses the estimated primary path to improve online identification, and applies internal feedback to compensate for the feedforward control. Then the FOFxlms algorithm is applied to a double-layer vibration isolation system of submarine rotating equipment, and the simulation results show that the normalized variable step-size with residual error can effectively improve convergence speed, the internal feedback can efficaciously compensate for steady-state control accuracy, and the online identification can dynamically identify the time-varying characteristics of the secondary path. …”
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Semisupervised Learning-Based Word-Sense Disambiguation Using Word Embedding for Afaan Oromoo Language by Tabor Wegi Geleta, Jara Muda Haro

“…The K-means machine learning algorithm was used to cluster similar word vocabulary. …”
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Combined treatment of an infected paraurethral cyst by A. A. Kostin, L. V. Shaplygin, N. G. Kulchenkо, A. Mansur

“…With inflammation of the paraurethral cyst, there is still no clear treatment algorithm. In this article, we present an observation of a 29‑year‑old woman with signs of an infected paraurethral cyst. …”
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Limit Analysis of Collapse Mechanisms for Tunnel Roofs Subjected to Pore Water Pressure: A Numerical Approach by Jing-jing Liu, Tie-lin Chen, Chang-ling Xie, Jian-hua Tian, Yu-xin Wei

“…Then, the numerical approach based on the Runge–Kutta algorithm and traversal search method is proposed to solve the complex equations. …”
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Multiobjective Optimization of Precision Forging Process Parameters Based on Response Surface Method by Fayuan Zhu, Zhaohui Wang, Mi Lv

“…Nondominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the Pareto-optimal solutions. …”
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Impact of Weather Factors on Unmanned Aerial Vehicles’ Wireless Communications by Lalan Mishra, Naima Kaabouch

“…Based on the influence of power transmission, operating frequency, modulation schemes, distance, and adverse weather conditions on the bit error rate and bandwidth suboptimization, we propose an algorithm to select the maximum operating frequency for reliable UAV link operation.…”
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A Novel Hybrid Radial Basis Function Method for Predicting the Fresh and Hardened Properties of Self-Compacting Concrete by Zhangabay Nurlan

“…Overall, the RBFNN model developed by ALO outperforms others, which depicts the capability of the ALO algorithm for determining the optimal parameters of the considered method.…”
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Detecting Optic Disc on Asians by Multiscale Gaussian Filtering by Bob Zhang, Jane You, Fakhri Karray

“…Currently, there is no algorithm designed to automatically detect the OD in fundus images captured from Asians which are larger and have thicker vessels compared to Caucasians. …”
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Time-varying channel estimation in OFDM systems based on multiple symbols BEM by Yong DING, Shan OUYANG, Yue-lei XIE, Jun-zheng JIANG, Xiao-mao CHEN

“…In view of the problem of low frequency spectrum utilization for the time-varying channel estimation in orthogonal frequency division multiplexing(OFDM) systems based on basis expansion model (BEM),a new method based on multiple symbols BEM was proposed.Compared with the conventional method based on single symbol,the proposed method reduced the subcarriers for pilots.And by means of the baseline tilting technique,the new method mitigated the Gibbs phenomenon caused by Fourier series expansion.The theoretical analysis reveals that the channel model error is reduced due to the introduction of the baseline tilting technique when the normalized Doppler frequency is no more than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mrow> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <mo>−</mo><mfrac> <mn>1</mn> <mi>M</mi> </mfrac> </mrow> <mrow> <mn>1</mn><mo>+</mo><mfrac> <mrow> <msub> <mi>N</mi> <mi>g</mi> </msub> </mrow> <mi>N</mi> </mfrac> </mrow> </mfrac> <mtext> </mtext></math></inline-formula>.Finally,the numerical simulation shows that compared with conventional methods,the proposed algorithm achieves significant improvement on the estimation error performance and bit error rate (BER) performance under the conditions of the corresponding time-varying channel.…”
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Indoor Positioning in Wireless Local Area Networks with Online Path-Loss Parameter Estimation by Luigi Bruno, Paolo Addesso, Rocco Restaino

“…In this paper we propose a localization algorithm which takes into account the nonstationarity of the working conditions by estimating and tracking the key parameters of RSS propagation. …”
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Optimized Skip-Stop Metro Line Operation Using Smart Card Data by Peitong Zhang, Zhanbo Sun, Xiaobo Liu

“…Different from the conventional “A/B” scheme, the proposed Flexible Skip-Stop Scheme (FSSS) can better accommodate spatially and temporally varied passenger demand. A genetic algorithm (GA) based approach is then developed to efficiently search for the optimal solution. …”
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