Forecasting of Ionospheric Total Electron Content Data Using Multivariate Deep LSTM Model for Different Latitudes and Solar Activity by Nayana Shenvi, Hassanali Virani

“…The performance of the LSTM model was validated by comparing it with the multilayer perceptron (MLP) machine learning algorithm using root mean square error (RMSE) and mean absolute error (MAE) as evaluation indices. …”
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Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction by Chuanting Zhang, Ke-Ke Shang, Jingping Qiao

“…To evaluate the performance of our proposed algorithm, we conduct extensive experiments on eleven disparate networks of the real world. …”
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Optimization and Experimental Study of an Intelligent Bamboo-Splitting Machine Charging Manipulator by Tian-Hu Liu, Yong-Lu Wen, Gui-Qi Li, Xiang-Ning Nie

“…The size of the manipulator was optimized here using a genetic algorithm. The capture rate, centering rate, and dynamic characteristics of an intelligent bamboo-splitting machine charging manipulator, in which key factors were considered, were experimentally studied. …”
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Reduction of electric energy consumption for heating passenger railway carriages by A. А. Kuznetsov, S. S. Gorobei

“…The article proposes an algorithm for controlling electric heaters based on the use of semiconductor power regulators. …”
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Spectral Discrimination of Archaeological Sites Previously Occupied by Farming Communities Using In Situ Hyperspectral Data by Olaotse Lokwalo Thabeng, Elhadi Adam, Stefania Merlo

“…Thereafter, the selected soil elements and wavelengths were used as input variables in the RF classification algorithm to classify the nonsites, middens, vitrified dung, and nonvitrified dung. …”
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Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches by Manjunath Patel Gowdru Chandrashekarappa, Prasad Krishna, Mahesh B. Parappagoudar

“…Two different neural network based approaches have been proposed to carry out the said task, namely, back propagation neural network (BPNN) and genetic algorithm neural network (GA-NN). The batch mode of training is employed for both supervised learning networks and requires huge training data. …”
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Inducing and Assessing Acute Mental Stress in Controlled Conditions: Topical Review and Guidelines for Effective Experimental Protocols by Matteo Raggi, Lee J. Moore, Luca Mesin

“…Extensive research has been carried out to develop non-invasive devices for stress detection, which primarily use physiological data and, more recently, artificial intelligence algorithms. When developing either a new device or algorithm, tests in controlled environments are preferred, because of the supervision of possible confounding factors while running the experiments. …”
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Geometric Lattice Structure of Covering-Based Rough Sets through Matroids by Aiping Huang, William Zhu

“…Geometric lattice has been widely used in diverse fields, especially search algorithm design, which plays an important role in covering reductions. …”
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The use of technical vision in flexible production systems to determine coordinates of randomly located objects by K. V. Averkov, D. S. Makashin

“…The article is devoted to the development of an object recognition algorithm using technical vision using Python and the OpenCV computer vision library. …”
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Reducing Data Volume in News Topic Classification: Deep Learning Framework and Dataset by Luigi Serreli, Claudio Marche, Michele Nitti

“…Furthermore, it proposes a methodology for reducing data volume by extracting key sentences using an algorithm resulting in inference times that are, on average, 50% shorter than the original document without compromising the system's accuracy. …”
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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems by Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel

“…We incorporate our insights into a new training algorithm and demonstrate its improved efficiency, accuracy, and robustness. …”
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Research on Optimization of Big Data Construction Engineering Quality Management Based on RNN-LSTM by Daopeng Wang, Jifei Fan, Hanliang Fu, Bing Zhang

“…Through the example verification, the algorithm proposed in this paper can effectively reduce the incidence of construction project quality problems, and it has a promotion. …”
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Distributed Energy Management of the Hybrid AC/DC Microgrid with High Penetration of Distributed Energy Resources Based on ADMM by Yaling Chen, Luxi Hao, Gaowen Yin

“…Then, the MIQP model is decomposed and distributed into smaller-scale QP models between subgrids using the P-ADMM algorithm, which can handle binary variables through projection functions. …”
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COGNITIVE GRAMMAR IN AN ENGLISH CLASSROOM, OR, HOW TO MAKE LIFE FOR RUSSIAN STUDENTS EASIER by A. V. Kravchenko

“…Since cognitive structures underlying these grammatical categories are grounded in perceptual experience and are similar in both languages, a cognitive approach, by using the native language as scaffolding, allows the student to benefit from a simple algorithm for choosing a tense in discourse. This radically facilitates grammar acquisition, eliminating many imaginary difficulties. …”
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Prosthetic Hand Based on Human Hand Anatomy Controlled by Surface Electromyography and Artificial Neural Network by Larisa Dunai, Isabel Seguí Verdú, Dinu Turcanu, Viorel Bostan

“…The model converges after 10 sessions, achieving 98% accuracy. As a result, an algorithm was developed that aimed to recognize two specific gestures (handling a bottle and pointing with the index finger) in real time with 95% accuracy.…”
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Preventive Control Strategy of Cascading Fault considering Safety and Economy by Hui-Qiong Deng, Jie Luo, Chen-Chen Li, Pei-Qiang Li, Rong-Jin Zheng

“…The outer model is solved by the multiobjective algorithm to minimize generation cost and maximizing power grid safety margin. …”
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Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis by Mohammed M. Farag

“…We demonstrate the framework’s capabilities and application mechanisms using a CNN classifier and an adversarial DA algorithm. Benchmarking results reveal significant accuracy drops from 99% to 36% and 45% with variances of 15% and 20% for the CWRU and PU datasets, respectively, under controlled domain shift conditions. …”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

“…This study leverages the CALCE dataset and employs the random forest algorithm for dimensionality reduction, selecting voltage, discharge capacity, and discharge energy as key input features. …”
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Numerical Simulation on Carbonation Depth of Concrete Structures considering Time- and Temperature-Dependent Carbonation Process by Jianxin Peng, Huang Tang, Jianren Zhang, Steve C. S. Cai

“…The concrete block is discretized into triangular elements, and the CO2 concentrations at different positions are calculated based on finite element method. A computational algorithm is programed through the Matlab platform. …”
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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…First, a novel automatic SOH extraction algorithm for offline charging data is introduced to label the battery SOH degradation data. …”
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