Hybrid algorithm for fault detection in three-phase motors using Principal Component Analysis by Cesar Orellana, Leony Ortiz, Alexander Aguila, Marcelo Garcia, Milton Ruiz

“…This research proposes developing an innovative algorithm for fault detection in three-phase motors using Principal Component Analysis (PCA) and PLECS-Matlab co-simulation. …”
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Trust in the machine: How contextual factors and personality traits shape algorithm aversion and collaboration by Vinícius Ferraz, Leon Houf, Thomas Pitz, Christiane Schwieren, Jörn Sickmann

“…Age, extraversion, neuroticism, generalized trust, and internal locus of control significantly and consistently influenced delegation decisions across both predictive and causal analyses. Additionally, female participants reacted more strongly to algorithm errors. …”
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Optimization of Intelligent Maintenance System in Smart Factory Using State Space Search Algorithm by Nuttawan Thongtam, Sukree Sinthupinyo, Achara Chandrachai

“…Moreover, the SSS algorithms take into account the risks associated with maintenance routines, following factory standards such as failure mode and effects analysis (FMEA). …”
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Research on LSTM-PPO Obstacle Avoidance Algorithm and Training Environment for Unmanned Surface Vehicles by Wangbin Luo, Xiang Wang, Fang Han, Zhiguo Zhou, Junyu Cai, Lin Zeng, Hong Chen, Jiawei Chen, Xuehua Zhou

“…A comparison with the performance of three other deep reinforcement learning algorithms reveals that the LSTM-PPO algorithm exhibits a 21.5% reduction in average convergence time, an 18.5% reduction in average path length, and an approximately 20% enhancement in the success rate of obstacle avoidance in complex environments. …”
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Validation of Sea Surface Temperature From GK-2A Geostationary Satellite and Error Reduction Considering Impact of Satellite Zenith Angle by Kyung-Ae Park, Hye-Jin Woo, Stephane Saux Picart, Anne O'Carroll, Eunha Sohn, HuiTae Joo, Joon-Soo Lee, Joon-Yong Yang

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Low complexity hybrid precoding algorithm for massive MIMO based on modified Newton method by Bo HU, Anding WANG, Guiyi WEI

“…A phase tracking algorithm was proposed for massivemultiple-input multiple-output(MIMO) systems based on the modified Newton (MN) method, which effectively reduced the high computational complexity in traditional high-performance hybrid precoding schemes.The algorithm optimized the analog precoding matrix from the perspective ofsub-dimensional vector recovery.In each sub-dimension optimization, the phase tracking method was used to transform the recovery of the analog precoding vectors into an unconstrained nonlinear optimization problem, which was then solved using the MN method.Concurrently, this strategy led to a marked reduction in the computational intricacy pertaining to both the computation of correction factors and the inversion of the Hessian matrix within the framework of the MN method.This was achieved through the insightful incorporation of Gerschgorin’s Disk theorem and the Hermitian matrix block-inverse lemma.Simulation results show that the proposed algorithm has higher spectral efficiency and lower computational complexity than several conventional high-performance hybrid precoding schemes.…”
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An Improved Diffusion Based Placement Algorithm for Reducing Interconnect Demand in Congested Regions of FPGAs by Ali Asghar, Husain Parvez

“…For the 20 MCNC benchmark circuits, our algorithm reduced the channel width for 15 circuits. …”
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Optimization Design Method of Pipe-Insulating Joints Based on Surrogate Model and Genetic Algorithm by Chen Guo, Zheng Yang, Jianbo Dong, Yanchao Yue, Linjun Tian, Ping Ma

“…Subsequently, four different fitting algorithms were trained with this dataset, and the ridge regression algorithm, which showed the best predictive performance, was used to establish a surrogate model for calculating the maximum stress of the right flange. …”
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Enhanced Binary Kepler Optimization Algorithm for effective feature selection of supervised learning classification by Amr A. Abd El-Mageed, Amr A. Abohany, Khalid M. Hosny

“…It outperformed recent Meta-heuristic Algorithms (MHAs) in accuracy, feature reduction, and computational efficiency. …”
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A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters by Khoo David Wee Yang, Ng Zhi Qun, Seah Leong Keey

“…The sym6 wavelet & SURE threshold exhibited good noise reduction effect and were used for further analysis. …”
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High-speed hardware architecture design and implementation of Ed25519 signature verification algorithm by Yiming XUE, Shurong LIU, Shuheng GUO, Yan LI, Cai’e HU

“…Aiming at the high performance requirements of signature verification for specific scenarios such as blockchain, a high-speed hardware architecture of Ed25519 was proposed.To reduce the number of calculations for point addition and point double, a multiple point multiplication algorithm based on interleaving NAF was conducted by using pre-computation and lookup tables.The modular multiplication operation was realized by using the Karatsuba multiplication and fast reduction method, and the point addition and point double operation was designed without modular addition and subtraction, which could effectively improve the performance of point addition and point double.Given that modular exponentiation was the most time-consuming operation in the decompression process, a new modular exponentiation approach was developed by parallelizing modular inverse and modular multiplication, and therefore the performance of the de-compression operation could be improved.The proposed architecture fully considers the use of resources and is implemented on the Zynq-7020 FPGA platform with 13 695 slices, achieving 8 347 verifications per second at 81.6 MHz.…”
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Efficient quantum algorithm to simulate open systems through a single environmental qubit by Giovanni Di Bartolomeo, Michele Vischi, Tommaso Feri, Angelo Bassi, Sandro Donadi

“…Second, we show that, under fixed accuracy conditions, our algorithm enables a reduction in the number of Trotter steps compared to other approaches, substantially decreasing circuit depth. …”
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Quantitative Analyses and Development of a q-Incrementation Algorithm for FCM with Tsallis Entropy Maximization by Makoto Yasuda

“…The Tsallis entropy-based DA-FCM algorithm was developed by combining it with the deterministic annealing (DA) method. …”
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Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm by Dongjie Guan, Yitong Shi, Lilei Zhou, Xusen Zhu, Demei Zhao, Guochuan Peng, Xiujuan He

“…To overcome these limitations, this study develops and validates a high-resolution predictive model using advanced gradient boosting algorithms—Gradient Boosting Decision Tree (GBDT), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM)—based on socioeconomic, industrial, and environmental data from 2732 Chinese counties during 2008–2017. …”
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Auxiliary Particle Flow Track-Before-Detect Algorithm for Marine Neighboring Weak Targets by Fan Zhang, Chang Liu

“…Simulation experiments indicate that compared with track-before-detect algorithms based on parallel partition (PP) and auxiliary parallel partition (APP), the proposed algorithm shows an increase of 43.1% and 25.8% in detection probability at 6 dB, and a reduction of 76.6% and 66.2% in Root Mean Square Error (RMSE). …”
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Smart Energy Management for Hybrid Systems: A Genetic Algorithm in Response to Market Volatility by Dácil Díaz-Bello, Carlos Vargas-Salgado, Jesús Águila-León, David Alfonso-Solar

“…For this purpose, a genetic algorithm is applied to optimize energy management under different market conditions (COVID-19, the war, the Business as Usual situation, and future price trends for 2030). …”
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EtHgSC: Eigen Trick-Based Hypergraph Stable Clustering Algorithm in VANET by Mays Kareem Jabbar, Hafedh Trabelsi

“…To achieve high stability for the VANET, this paper presents a new efficient Eigen-trick-based hypergraph stable clustering algorithm (EtHgSC). This algorithm has a twofold scheme for stable CH selection. …”
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A Novel Method for Reducing Vehicle Emissions Utilizing IoT-Based IS-APCPSO Algorithm by Ke Huang, Jianjun Zhu

“…A two-level planning model on road traffic network optimization in IoT and the IS-APCPSO algorithm is deployed, which can effectively solve the above problems. …”
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Energy-saving optimization solution for multiple freight trains based on maFOA algorithm by LAN Li, LI Le, MA Ruijie

“…Additionally, a multi-strategy adaptive fruit fly optimization algorithm for population partitioning (maFOA) was proposed, to address the challenges faced by existing algorithms in solving complex nonlinear “train-track-grid" models, which often result in low convergence accuracy. …”
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A fast hyperspectral change detection algorithm for agricultural crops based on spatial reconstruction. by Jianghong Yuan, Er-Yang Chen, Haiyin Qing

“…Experimental results demonstrate that FHCDSR achieves superior performance on both datasets, with AUC values of 90.20% (Hermiston) and 95.39% (Yancheng), outperforming six state-of-the-art comparison methods by 3.39-14.78% in detection accuracy. Remarkably, the algorithm maintains high computational efficiency, completing analyses in 9.76 seconds (Hermiston) and 10.90 seconds (Yancheng), representing up to 94.05% reduction in processing time compared to conventional methods. …”
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