Facial Emotion Images Recognition Based On Binarized Genetic Algorithm-Random Forest by Murad Ibrahim Husin Alzawali, Yusliza Yusoff, Razana Alwee, Zuriahati Mohd Yunos, Mohamad Shukor Talib, Haswadi Hassan, Fahad Taha AL-Dhief, Musatafa Abbas Abbood Albadr, Majid Razaq Mohamed Alsemawi, Sharifah Zarith Rahmah Syed Ahmad

“…In addition, the Binarized Genetic Algorithm (BGA) is utilized as a features selection in order to select the most effective features of HOG. …”
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Prediction of Arrival Time of Pure Electric Bus Based on FA-BP Algorithm by Yuanwen Lai, Hangyu Liang, Liling Huang

“…The model is trained and tested by using bus operation data. The root mean square error of the Kalman filter model is 0.351, of the BP neural network model is 0.059, and of the FA-BP prediction model is 0.04. …”
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Optimization of algorithms transferring numeric positional codes for discrete channels with the fluctuation noise by Sergey Gennad'yevich Rassomahin, Oleg Pavlovich Malofey, Aleksandr Olegovich Malofey

“…The article suggests algorithm for generating and processing signals for transmission of positional codes, based on the criterion of minimum mean squared error recovery numbers on the output channel with additive white Gaussian noise (AWGN). …”
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The Artificial Bee Colony (ABC) Algorithm for Estimating Parameter of Epidemic Influenza Model by Agus Suryanto, Syaiful Anam

“…The Artificial Bee Colony (ABC) is one of the stochastic algorithms that can be applied to solve many real-world optimization problems. …”
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ESTIMATION ALGORITHM OF WEAR RATE ON TOOTH SURFACE AT CIRCULAR HELICAL-GEAR BREAKING-IN by Artem Yuryevich Lukonin

“…In the process of gearing breaking-in, teeth are worn down. The estimation algorithm of such wear rate in the circular helical point gearing is described. …”
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Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm by ZHOU Ruilin, LEI Chengjian, LIU Ze, SU Huiliang

“…The traditional PID algorithm used in the currently existing automatic train operation system is limited due to fixed parameters, making it difficult to achieve excellent control effects in actual operation scenes featuring strong coupling and high nonlinearity, which is mainly attributed to difficulties in overcoming nonlinear disturbances.In light of this, this paper proposes an automatic train operation approach that relies on a fuzzy adaptive PID algorithm, which can adjust the PID parameters in real time according to the preset fuzzy rules, thus improving the PID controller's performance in speed tracking and leading to an improved train control effect. …”
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Strong Convergence Theorems of the CQ Algorithm for H-Monotone Operators in Hilbert Spaces by Huimin He, Sanyang Liu

“…The main results extend and improve the corresponding results. …”
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Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study by Eric Pulick, John Curtin, Yonatan Mintz

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Algorithm of finding a set of Pareto on a final set of initial data by S. V. Chebakov, L. V. Serebryanaya

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Modern Tanscriptome Data Rrocessing Algorithms: a Review of Methods and Results of Approbation by M. V. Sprindzuk, L. V. Mozharovskaya, A. P. Konchits, L. P. Titov

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Modern Tanscriptome Data Rrocessing Algorithms: a Review of Methods and Results of Approbation by M. V. Sprindzuk, L. V. Mozharovskaya, A. P. Konchits, L. P. Titov

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Compressed sensing subspace pursuit algorithm based on two stagewise weak selection by Bowei WANG, Jin TAN

“…Compressed sensing is a new way of signal sampling and data compression.The subspace pursuit algorithm has higher efficiency and precision in the compressed sensing reconstruction algorithms,but it needs the sparsity of the signal as a priori information.And if the sparsity estimation is not accurate enough,it will reduce the algorithm reconstruction effect.Aiming at this problem,a two stagewise weak selection-based subspace pursuit (TSWSP) algorithm was proposed,which didn’t need to know the sparsity of the signal in advance.The first weak selection adaptively selected the initial atom candidate set,and the second weak selection adaptively culled the wrong atoms that may had been previously selected from the current atom support set,and finally it selected a plurality of related atoms from the current atom candidate set to join the atom support set by the backtracking method.Simulation analysis shows that the proposed algorithm can reconstruct one-dimensional random signals and two-dimensional image signals accurately with unknown sparsity,and it has high stability,compared with OMP,SWOMP,BAOMP,SAMP and SP algorithm,the mean-square erroris reduced by 60.5% to 99.1%,the peak signal-to-noise ratio is improved by 2.1% to 34.3%.…”
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Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…This study proposes a real-time Kiwifruit recognition and localization method based on an enhanced YOLOv5s algorithm combined with binocular vision technology. …”
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Path Scheduling and Target Trajectory Optimization in UAVs Based on Dragonfly and Firefly Algorithm by Methaq Hadi Lafta

“…So this research is trying to provide a method based on LQG controller with and then set motion and specify path scheduling without deviations based on swarm intelligence algorithms in combinational mode: Dragonfly-Firefly algorithm. …”
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Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization by Xin Song, Feng Wang, Jinkuan Wang, Jingguo Ren

“…It demonstrates that our proposed recursive algorithm provides excellent robustness against signal steering vector mismatches and the small training data size and, has fast convergence rate, and makes the mean output array signal-to-interference-plus-noise ratio (SINR) consistently close to the optimal one. …”
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Deep Belief Network-Based Multifeature Fusion Music Classification Algorithm and Simulation by Tianzhuo Gong

“…In this paper, the multifeature fusion music classification algorithm and its simulation results are studied by deep confidence networks, the multifeature fusion music database is established and preprocessed, and then features are extracted. …”
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Pothole Detection and Assessment on Highways Using Enhanced YOLO Algorithm With Attention Mechanisms by Rufus Rubin, Chinnu Jacob, Sumod Sundar, Gabriel Stoian, Daniela Danciulescu, Jude Hemanth

“…It enhances detection by modifying the YOLO algorithm, using the Xception backbone, and integrating attention mechanisms to improve the prediction of small or clustered objects. …”
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A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10^-4 and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
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A Combinatorial Approximation Algorithm for the Vector Scheduling with Submodular Penalties on Parallel Machines by Bihui Cheng, Wencheng Wang

“…The penalty is determined by a submodular function. Our main work is to design a 2−1/mminr,d-approximation algorithm to solve this problem. …”
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Automatic Real-Time Generation of Floor Plans Based on Squarified Treemaps Algorithm by Fernando Marson, Soraia Raupp Musse

“…The basis of this model is the squarified treemaps algorithm. Previously, this algorithm has been used to create graphical representations based on hierarchical information, such as, directory structures and organization structures. …”
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