Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…The combined use of local and global texture information is helpful in the presented problem when prioritizing the recognition of complex texture patterns that cannot be deciphered by a single algorithm. To demonstrate the efficiency of the proposed hybrid method, several experiments are performed on several texture databases. …”
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Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis by Hongdi Zhou, Lin Zhu, Xixing Li

“…The experimental results demonstrated that the feasibility and effectiveness of the proposed fault diagnosis model based on a sparse principal subspace discriminant analysis algorithm can achieve higher recognition accuracy than fisher discriminant analysis and its extensions, and it is relatively insensitive to the impact of noise and outliers owing to the sparse property.…”
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A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM by HungLinh Ao, Junsheng Cheng, Kenli Li, Tung Khac Truong

“…This study investigates a novel method for roller bearing fault diagnosis based on local characteristic-scale decomposition (LCD) energy entropy, together with a support vector machine designed using an Artificial Chemical Reaction Optimisation Algorithm, referred to as an ACROA-SVM. First, the original acceleration vibration signals are decomposed into intrinsic scale components (ISCs). …”
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First in Vivo SPECT Imaging of Mouse Femorotibial Cartilage Using Tc-NTP 15-5 by Elisabeth Miot-Noirault, Aurélien Vidal, Philippe Auzeloux, Jean-Claude Madelmont, Jean Maublant, Nicole Moins

“…Tomographic reconstruction of SPECT data was performed with a three-dimensional ordered subset expectation maximization algorithm, and slices were reconstructed in three axes. 99m Tc-NTP 15-5 rapidly accumulated in the joint, with a peak of radioactivity being reached from 5 minutes postinjection and maintained for at least 90 minutes. …”
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On Calibration and Direction Finding with Uniform Circular Arrays by Stephan Häfner, Martin Käske, Reiner Thomä

“…Furthermore, local calibration, where array calibration measurements are incorporated in the DF algorithm, is considered as well. Common DF algorithms will be outlined, their assumptions regarding array properties will be addressed, and required preprocessing steps such as the beam-space transformation will be presented. …”
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Time-Dependent Transportation Network Design considering Construction Impact by Yi He, Ziqi Song, Lihui Zhang

“…A time-dependent DNDP (T-DNDP) model is developed with the objective of minimizing total weighted net user cost during the entire planning horizon. An active-set algorithm is applied to solve the model. A simple example network is first utilized to demonstrate the necessity of considering the construction process in T-DNDP and to illustrate the trade-off between the construction impact and the benefit realized through capacity extension. …”
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A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport by Yingmiao Qian, Shuhang Chen, Jianchang Li, Qinxin Ren, Jinfu Zhu, Ruijia Yuan, Hao Su

“…The mathematical methods such as function equation, BP neural network algorithm, and queuing theory were used to establish a complete decision-making model for taxi drivers and an optimization model of dispatching efficiency at the airport. …”
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Bearing Fault Diagnosis Method Based on Multidomain Heterogeneous Information Entropy Fusion and Model Self-Optimisation by Renwang Song, Xiaolu Bai, Rui Zhang, You Jia, Lihu Pan, Zengshou Dong

“…Nineteen key model parameters that were required for HSMSF construction were selected by adaptive optimisation using the chaos elitist modified sparrow search algorithm (CEI-SSA), and a self-learning diagnostic model that is suitable for multiple detection points was constructed. …”
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Latency Improvement Strategies for Reliability-Aware Scheduling in Industrial Wireless Sensor Networks by Felix Dobslaw, Tingting Zhang, Mikael Gidlund

“…Moreover, SchedEx executes orders of magnitude faster than recent algorithms in the literature while producing schedules with competitive latencies. …”
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Using Propensity Score Matching Technique to Estimate Utilization and Costs of General Practitioners’ Services associated with Alzheimer’s Disease by Rajan Sharma, Elizaveta Sopina, Jan Sørensen

“…Propensity scores were then estimated using the generalized boosted model, a multivariate, nonparametric and automated algorithm technique. **Setting:** Observational data from Statistics Denmark registry. …”
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Global Alignment of Pairwise Protein Interaction Networks for Maximal Common Conserved Patterns by Wenhong Tian, Nagiza F. Samatova

“…In view of this, we introduce a connected-components based fast algorithm, HopeMap, for network alignment. Observing that the size of true orthologs across species is small comparing to the total number of proteins in all species, we take a different approach based on a precompiled list of homologs identified by KO terms. …”
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Research on Equivalent Method of Bench Fatigue Tests for Main Reducers by Zou Xihong, Zhou Qing, Yuan Dongmei, Xiao Yukai, Zhou Yuting, He Ping

“…By collecting the actual driving load spectrum of users and the test site, the road condition and road load spectrum of the test site are reconstructed by using rain-flow counting and elite strategy non-dominated sorting genetic algorithm. In order to verify the effectiveness of the equivalent method, the finite element model of the main reducer is established and the static strength analysis is carried out to verify the mesh independence and model validity. …”
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Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks by Oduetse Matsebe, David Mohammed Ezekiel, Ravi Samikannu

“…ANN as a Hybrid intelligent control strategy of ANN in combination with Pattern Search and Genetic Algorithm, is then utilized to optimize the parameters of the neural networks. …”
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Anomaly Detection in IoMT Environment Based on Machine Learning: An Overview by Peyman Vafadoost Sabzevar, Hamidreza Rokhsati, Alireza Chamansara, Ahmad Hajipour

“…The purpose of anomaly detection is to develop methods that can detect attackers' attacks and prevent them from happening again. Algorithms and methods based on statistics play an important role in predicting and diagnosing anomalies. …”
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Compressed Measurements Based Spectrum Sensing for Wideband Cognitive Radio Systems by Taha A. Khalaf, Mohammed Y. Abdelsadek, Mohammed Farrag

“…In this paper, we propose a novel compressed detector using energy detection technique on compressed measurements sensed by the discrete cosine transform (DCT) matrix. The proposed algorithm not only reduces the computational complexity but also provides a better performance than the traditional energy detector and the traditional compressed detector in terms of the receiver operating characteristics. …”
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The Performance of Resistance Progressive Collapse Analysis for High-Rise Frame-Shear Structure Based on OpenSees by Qiang Zhang, Yaozhuang Li

“…Method of deleting failure component elements was presented, as well as the model solving algorithm. The FEM was validated by the completed structure test. …”
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Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology by Li Shengjia, Ma Yali, Zhao Yongsheng, Pu Dajun, Yan Shidang

“…Then, the prediction model of meshing contact characteristics of the system is established using support vector machine and random forest algorithm, which realizes the efficient prediction of meshing contact characteristics of the system. …”
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Numerical Solutions of Duffing Van der Pol Equations on the Basis of Hybrid Functions by M. Mohammadi, A. R. Vahidi, T. Damercheli, S. Khezerloo

“…Resolved governance equation using the Runge-Kutta fourth order algorithm with the stepping time 0.01 s via numerical solution. …”
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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“…We used the face detector algorithm called Multi-Task Cascaded Convolutional Neural Network (MTCNN) for face detection with 99.8% accuracy. …”
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Exploiting Small Leakages in Masks to Turn a Second-Order Attack into a First-Order Attack and Improved Rotating Substitution Box Masking with Linear Code Cosets by Alexander DeTrano, Naghmeh Karimi, Ramesh Karri, Xiaofei Guo, Claude Carlet, Sylvain Guilley

“…State-of-the-art mask-extraction attacks on the Advanced Encryption Standard (AES) algorithm target S-Box recomputation schemes but have not been applied to scenarios where S-Boxes are precomputed offline. …”
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