Incisor Malocclusion Using Cut-out Method and Convolutional Neural Network by Muhamad Farhin Harun, Azurah A Samah, Muhammmad Imran Ahmad Shabuli, Hairudin Abdul Majid, Haslina Hashim, Nor Azman Ismail, Syiral Mastura Abdullah, Aspalilah Alias

“…In addition, unstructured images with varying sizes and the problem of a machine learning algorithm that does not focus on the region of interest (ROI) for incisor features bring challenges in delivering the treatment. …”
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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…This study uses the Genetic algorithm, Moth Flame Optimization, and Ant Lion Optimizer to optimize the Random Forest model. …”
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Integration of Non-Destructive Testing Technologies for Effective Monitoring and Evaluation of Road Pavements by Christina Plati, Angeliki Armeni, Andreas Loizos

“…The procedure, referred to as Integrated Testing and Evaluation (ITE), is proposed as an algorithm to find optimal strategies for prioritizing potential pavement interventions, considering the budget constraints for the required investigations.…”
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Quantitative analysis and resolution of pharmaceuticals in the environment using multivariate curve resolution-alternating least squares (MCR-ALS) by Mostafa Ahmed, Shaaban Heba

“…A multivariate regression model using the partial least squares regression (PLSR) algorithm was developed and calculated. The MCR-ALS results were compared with the PLSR obtained results. …”
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The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke by Sergi Bermúdez i Badia, M. S. Cameirão

“…Finally, an adaptive algorithm for the personalization of training considering motivational and performance aspects is proposed. …”
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A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data by Manolis Georgioudakis, Vagelis Plevris

“…The structural damage identification problem is treated as an unconstrained optimization problem which is solved using the differential evolution search algorithm. The objective function used in the optimization process is based on a combination of two modal correlation criteria, providing a measure of consistency and correlation between estimations of mode shape vectors. …”
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Fault Estimation Method for Nonlinear Systems With Perturbations Based on Augmented Fault Observer by Yanxiu Sun, Ying Du, Yuping Zhang

“…Specifically, a singular system is constructed by combining the state vector of the system with the fault vector of the sensor, and an augmented fault observer is designed by combining the fault estimation algorithm of the adaptive actuator. First, an augmented fault observer for linear systems with perturbations is designed, and the sufficient conditions for the asymptotic stability of the observation error system are ascertained so that the state of the singular system can be observed. …”
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Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering by Fei Cheng, Jun Yang, Ziwen Zhang, Jingliang Yu, Xuelian Wang, Yongdong Wu, Zhengyi Guo, Hui Li, Meng Xu

“…The original fuzzy clustering method is improved, and the IWFCM_CCS algorithm based on competitive merger strategy is obtained. …”
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks by Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa

“…The system consists of a genetically weighted ensemble of convolutional neural networks; we show that a weighted ensemble of classifiers using a genetic algorithm yields a better classification confidence. …”
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Aggregating Contextual Information for Multi-Criteria Online Music Recommendations by Jieqi Liu

“…On the CAL500 dataset, CAMCMusic outperforms the FM algorithm by 11.9% in precision, 16.4% in recall, and 20% in F1-Score. …”
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A Methodology for Clustering Items with Seasonal and Non-seasonal Demand Patterns for Inventory Management by Burak Kandemir

“…In this paper, we propose two algorithms, one based on statistical analysis and the other an unsupervised machine learning algorithm using K-means clustering, both of which differ-entiate seasonal and non-seasonal products where an item’s variation is evaluated with respect to seasonality of the product group it belongs to. …”
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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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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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