Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS by Dongliang Wang, Yikun Nie, Gaolei Hu, Hon Ki Tsang, Chaoran Huang

“…Abstract Reservoir computing (RC) is a powerful machine learning algorithm for information processing. Despite numerous optical implementations, its speed and scalability remain limited by the need to establish recurrent connections and achieve efficient optical nonlinearities. …”
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Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllers by Iman Zangeneh, Amir Massoud Bidgoli, Ardeshir Dolati

“…In the second solution, redundancy was applied in the sensor layer using the gray wolf algorithm, and in the third solution، redundancy was applied in the controller layer. …”
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Game-Theory-Based Multi-Objective Optimization for Enhancing Environmental and Social Life Cycle Assessment in Steel–Concrete Composite Bridges by David Martínez-Muñoz, Jose V. Martí, Víctor Yepes

“…The optimization process considered four criteria simultaneously, using a discrete version of the SCA algorithm and a transfer function for discretization. …”
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A Lightweight AI-Based Approach for Drone Jamming Detection by Sergio Cibecchini, Francesco Chiti, Laura Pierucci

“…In this paper, we propose a low complexity unsupervised machine learning approach for the detection of constant and periodic jamming attacks, using the Isolation Forest algorithm. We detail the tuning of the base model as well as the integration with a Majority Rule module which significantly reduced the number of false positives caused by environmental noise, achieving high accuracy and precision. …”
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FDK Half-Scan with a Heuristic Weighting Scheme on a Flat Panel Detector-Based Cone Beam CT (FDKHSCW) by Dong Yang, Ruola Ning

“…Traditionally, the redundant data in the circular half-scan range is weighted by a central scanning plane-dependent weighting function; FDK algorithm is then applied on the weighted projection data for reconstruction. …”
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Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol by Jianhua Wang, Fuqiang Fan, Yanye Yu, Shuxin Du, Xiaorui Guo

“…Subsequently, taking both high-rate networks and FRP into account, sufficient conditions are obtained by solving a time-varying terminal constraint set of an auxiliary optimization problem. In addition, an algorithm including both off-line and on-line parts is provided to find a sub-optimal solution. …”
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Quantitative Analysis of Comprehensive Influence of Music Network Based on Logistic Regression and Bidirectional Clustering by Yi-Kun Zhao, Guo-Qing Wang, Xiao-Xiao Zhan, Peng-Hui Yang

“…Firstly, 11 music features are selected from energy, popularity, and other aspects to build a comprehensive evaluation index of music influence, and the PageRank algorithm is used to quantify the music influence. …”
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THE METHOD OF ROLL SURFACE QUALITY MEASUREMENT FOR CONTINUOUS HOT DIP ZINC COATED STEEL SHEET PRODUCTION LINE by Ki Yong Choi, Yu. A. Lebedinsky, E.I. Marukovich, A.M. Branovitsky, V.A. Dementev

“…The system makes it possible to analyze roll surface condition according to pickup phenomena from various roll coatings concerning operating conditions of hearth rolls in annealing furnace. The algorithm of fast pickup detection on surface is developed on the base of processing of several optical images of surface. …”
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Comparison and Correction of Runoff Simulation Based on XGBoost and SWAT by LIANG Lisha, JIANG Xiaolei, HU Leyi, SHEN Jing, ZHANG Liping, FU Xiaolei

“…Based on the extreme gradient boosting (XGBoost) algorithm and soil and water assessment tool (SWAT) model, a runoff simulation model was constructed by using the observed hydrological data of Waizhou hydrological station in Ganjiang River Basin, and the simulation effects of the two models were compared. …”
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Shield Tunneling Parameter Matching Model and UI Interface by Gongyu Hou, Zhedong Xu, Le Li, Xiaoge Quan, Yajie Yang

“…The matching model based on BP neural network and PSO algorithm is compared in simulation experiments and engineering case. …”
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Effects of Reentry Plasma Sheath on Mutual-Coupling Property of Array Antenna by B. W. Bai, X. P. Li, Y. M. Liu, J. Xu

“…In this paper, the effects of the plasma sheath on the mutual coupling properties between adjacent array elements are studied utilizing the algorithm of finite integration technique. Results show that mutual coupling coefficients of array elements are deteriorating more seriously with the decrease of collision frequency. …”
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Design and Evaluation of the AIRGAIT Exoskeleton: Leg Orthosis Control for Assistive Gait Rehabilitation by Mohd Azuwan Mat Dzahir, Shin-Ichiroh Yamamoto

“…This paper introduces the body weight support gait training system known as the AIRGAIT exoskeleton and delves into the design and evaluation of its leg orthosis control algorithm. The implementation of the mono- and biarticular pneumatic muscle actuators (PMAs) as the actuation system was initiated to generate more power and precisely control the leg orthosis. …”
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Chaos in Inverse Parallel Schemes for Solving Nonlinear Engineering Models by Mudassir Shams, Bruno Carpentieri

“…In this research, we develop a novel biparametric family of inverse parallel techniques designed to improve stability and accelerate convergence in parallel iterative algorithm. Bifurcation and chaos theory were used to find the best parameter regions that increase the parallel method’s effectiveness and stability. …”
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Enhancing Credit Risk Decision-Making in Supply Chain Finance With Interpretable Machine Learning Model by Guanglan Zhou, Shiru Wang

“…This study clarified the applicability and limitations of various models, highlighting the superior performance and interpretability of XGBoost through the SHAP algorithm. Ultimately, the insights from this study provided valuable guidance for companies and financial institutions, fostering more sustainable allocation of financial resources.…”
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Homeomorphism Mapping Based Neural Networks for Finite Time Constraint Control of a Class of Nonaffine Pure-Feedback Nonlinear Systems by Jianhua Zhang, Quanmin Zhu, Yang Li, Xueli Wu

“…Furthermore, by combining finite time adaptive law and Lyapunov-based arguments, a valid finite time adaptive neural networks controller design algorithm is presented to ensure that system is practical finite stable (PFS) rather than uniformly ultimately bounded (UUB). …”
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Collaboration of clustering and classification techniques for better prediction of severity of heart stroke using deep learning by T. Swathi Priyadarshini, Mohd Abdul Hameed

“…Our research aims to present a comprehensive study of machine learning algorithms and deep learning advancements in medical field systems for decision making. …”
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Reduction of Truncation Errors in Planar, Cylindrical, and Partial Spherical Near-Field Antenna Measurements by Francisco José Cano-Fácila, Sergey Pivnenko, Manuel Sierra-Castañer

“…The method is based on the Gerchberg-Papoulis iterative algorithm used to extrapolate band-limited functions and it is able to extend the valid region of the calculated far-field pattern up to the whole forward hemisphere. …”
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Multi-dimensional adaptive transmission technique for shortto-medium reach optical fiber communication system by Ming TANG, Xi CHEN

“…According to the features of short-to-medium reach optical fiber communication systems,three high performance adaptive modulation and coding schemes were investigated.In the first one,a new dimension,forward error correction (FEC),was introduced to the traditional bit and power loading (BPL) scheme,and the three-dimensional adaptive modulation and coding were achieved.The modulation format and FEC code were allocated based on look-up table (LUT).The proposed algorithm has lower complexity and higher data rate compared to the BPL scheme.The second one was also based on LUT method where one similar data rate with the BPL scheme was achieved using partitioned precoding,but peak-to-average power ratio was reduced up to two dB,and the power efficiency was improved.In the last scheme,probabilistic shaping QAM was adopted as the modulation format,and shaping gain and almost indefinitely fine modulation granularity were achieved at the expense of certain complexity.With adaptive partitioned precoding,without decreasing data rate the number of PS-QAM was limited to reduce the complexity.The experimental results demonstrate that the proposed scheme outperforms the BPL scheme in terms of data rate and receiver sensitivity.…”
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Constructing the Fuzzy Hyperbola and Its Applications in Analytical Fuzzy Plane Geometry by Seçil Özekinci, Cansel Aycan

“…We show the use of the algorithm for calculating the coefficients in the conic equation on the examples. …”
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Hierarchical Learning: A Hybrid of Federated Learning and Personalization Fine-Tuning by Li Shuyi, Zhang Bairong

“…This study proposes a hierarchical model that mitigates these challenges by incorporating a global model, trained using the Federated Averaging (FedAvg) algorithm, and applying client-specific fine-tuning to improve local model performance. …”
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