Sequential Multidimensional Scaling with Kalman Filtering for Location Tracking by Lan Anh Trinh, Nguyen Duc Thang, Dang Viet Hung, Tran Cong Hung

“…The characteristics of the algorithm are examined through simulated experiments and the results reveal the advantages of our method over conventional works in dealing with the above challenges. …”
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Recurrent Deep Learning for Beam Pattern Synthesis in Optimized Antenna Arrays by Armando Arce, Fernando Arce, Enrique Stevens-Navarro, Ulises Pineda-Rico, Marco Cardenas-Juarez, Abel Garcia-Barrientos

“…Beam patterns are optimized using a genetic algorithm during the training phase in order to reduce sidelobes and achieve high directivity. …”
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Swarm Control with RRT-APF Planning and FNN Task Allocation Tested on Mobile Differential Platform by Michal Lajčiak, Ján Vachálek

“…A feedforward neural network was developed to assign tasks to swarm agents in real time by predicting a suitability score. For centralized swarm planning, a hybrid algorithm combining Rapidly Exploring Random Tree (RRT) and Artificial Potential Field (APF) planners was implemented, incorporating a Multi-Agent Pathfinding (MAPF) solution to resolve simultaneous collisions at intersections. …”
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Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data by Zhiwen Yu, Yue Yang, Xingshe Zhou, Yu Zheng, Xing Xie

“…Finally, we conduct link prediction by using the random walk with restart method considering the effect of every node and every edge. …”
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Transfer learning based feature selection for feedforward neural network for speech emotion classifier by D. V. Krasnoproshin, M. I. Vashkevich

“…This technique allowed us to significantly reduce initial feature vector size while increasing models’ prediction quality. We used TESS and RAVDESS datasets to estimate the performance of proposed method. …”
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Sentiment Analysis using Twitter Dataset by Ibrahim Moge Noor, Metin Turan

“…We perform Multi nominal naïve Bayes classifier algorithm to classify tweets documents. We split our dataset using k-folder validation since we had limited amounts of data, so to achieve unbiased prediction of the model. . …”
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Application of Monte Carlo Method for Gamma ray Attenuation Properties of Lead Zinc Borate Glasses by Urkiye Akar Tarım, Orhan Gürler

“…Thiswork aims to introduce an useful computational model, based in Monte Carlosimulation, which can be used in practical application, and this paper presentsvalues determined using a Monte Carlo algorithm for linear attenuationcoefficient of lead zinc borate glasses with different percentages of PbO. …”
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A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing by Chanjuan Jin, Weiming Pan

“…A multi-objective cuckoo search algorithm then decides the test strategy, between content coverage and level compliance. …”
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Impact of Climate Change on the Distribution of <i>Cinnamomum malabatrum</i> (Laurales—Lauraceae), a Culturally and Ecologically Important Species of Malabar, Western Ghats, India... by Mukesh Lal Das, Sarat Chandran, Sreenath Subrahmanyam

“…The predicted range shifts and contraction of suitable habitats for the species indicate significant challenges ahead, especially in the Malabar midlands and coastal plains—areas of high endemicity. …”
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Optimisation of material composition in functionally graded plates using a structure-tuned deep neural network by Ryoichi Chiba, Takuya Kishida, Ryoto Seki, Seiya Sato

“…A fully-connected NN, configured with an open-source Bayesian optimisation framework, is employed to predict the maximum in-plane thermal stress for various combinations of design variables. …”
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Nonlinear Elasto-Mammography for Characterization of Breast Tissue Properties by Z. G. Wang, Y. Liu, G. Wang, L. Z. Sun

“…The results demonstrate that the projective displacements acquired in X-ray mammography provide sufficient constitutive information of the tumor and prove the usability and robustness of the proposed method and algorithm.…”
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Balance evaluation system using wearable IMU sensing by Tiantian Wang, Minghui Liu, Benkun Bao, Senhao Zhang, Liuxin Yang, Hongbo Yang, Kai Guo, Dianhuai Meng

“…Thus, the purpose of this study is to utilize data obtained from a low-cost, portable, small-sized IMU (specifically an accelerometer) to predict indicators derived from force platform devices. …”
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A general framework for active space embedding methods with applications in quantum computing by Stefano Battaglia, Max Rossmannek, Vladimir V. Rybkin, Ivano Tavernelli, Jürg Hutter

“…The application of this scheme to study localized electronic states in materials is showcased through the accurate prediction of the optical properties of the neutral oxygen vacancy in magnesium oxide (MgO). …”
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Safe and Robust Binary Classification and Fault Detection Using Reinforcement Learning by Josh Netter, Kyriakos G. Vamvoudakis, Timothy F. Walsh, Jaideep Ray

“…In this paper, we propose a learning-based method utilizing the Soft Actor-Critic (SAC) algorithm to train a binary Support Vector Machine (SVM) classifier. …”
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Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation by Peixia Gao, Chaoqing Jia, Aozhan Zhou

“…Furthermore, a uniformly bounded condition is elaborated to evaluate the algorithm performance of EDBSE. Finally, an illustrative example is conducted to verify the validity of the introduced EDBSE method.…”
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Development of an accessible system to enhance driving instruction for individuals with hearing impairments by Diana Peralta, Giovanni Rafael Caicedo Escorcia, Adolfo Duarte Rueda

“…The project’s approach introduces innovative methodologies compared to those used in other countries, contributing to educational and inclusive advancement through technology. …”
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Numerical Experiment for the Calculation of Normal Contact Stress in the Deformation Center when Rolling a Metal Strip by Yavtushenko A. V., Protsenko V. M., Bondarenko Y. V., Kirichenko A. G., Ping F. Y.

“…The possibility of application of the program complex called Mathcad Prime 5 for calculation of normal contact stresses in the center of deformation during cold rolling of the strips is considered. The algorithm, the block-scheme and the computer program of calculation of the normal contact stresses during rolling of the strips on the reverse mill 1680 PJSC “Zaporizhstal” are developed. …”
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State of Health Estimation of Lithium-Ion Batteries Using Fusion Health Indicator by PSO-ELM Model by Jun Chen, Yan Liu, Jun Yong, Cheng Yang, Liqin Yan, Yanping Zheng

“…This optimization enhances the ELM’s performance, addressing instability issues in the standard algorithm. The proposed PSO-ELM model demonstrates superior accuracy in SOH prediction compared with ELM and other methods. …”
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Grade Identification of Raw Nongxiangxing Baijiu Based on Fused Data of Near Infrared Spectroscopy and Gas Chromatography-Mass Spectrometry by ZHANG Wei, ZHANG Guiyu, TUO Xianguo, FU Ni, LI Xiaoping, PANG Tingting, LIU Kecai

“…The results showed that the prediction accuracy of the model based on the spectral feature variables selected by CARS was 89.66%, the prediction accuracy of the model based on KC after feature selection was 94.83%, and the classification accuracy of the model based on the fused data of CARS + KC reached as high as 98.28%. …”
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Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy by Hua Chen, Kehui Mei, Yuan Zhou, Nan Wang, Guangxing Cai

“…Finally, five different machine learning models are used for classification prediction, the best combination of parameters for each model is found using a grid search method, and the final results of each model are derived using a 10-fold cross-validation method. …”
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