Performance evaluation of the SM4 cipher based on field‐programmable gate array implementation by Sa'ed Abed, Reem Jaffal, Bassam Jamil Mohd, Mohammad Alshayeji

“…Scalar and pipelined designs with one or multiple hardware rounds are considered without altering the cipher algorithm. The results show that the best scalar implementation utilises less resources than the pipelined implementations by 7%. …”
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Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU by Dongqing Han, Xin Yang, Guang Li, Shuangyin Wang, Zhen Wang, Jiandong Zhao

“…After that, in view of the problem that the prediction accuracy of the GRU model was low in the continuous rainfall scenario, the APSO algorithm was used to optimize the parameters of the GRU network, and the APSO-GRU prediction model was constructed and verifications under the same road section and rain scene were carried out. …”
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Detection of non‐suicidal self‐injury based on spatiotemporal features of indoor activities by Guanci Yang, Siyuan Yang, Kexin Luo, Shangen Lan, Ling He, Yang Li

“…Secondly, an NSSI detection algorithm based on the spatiotemporal features of indoor activities (NssiDetection) is proposed. …”
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XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites by Salman Khan, Sumaiya Noor, Tahir Javed, Afshan Naseem, Fahad Aslam, Salman A. AlQahtani, Nijad Ahmad

“…By fusing word embeddings with evolutionary descriptors, it applies the SHapley Additive exPlanations (SHAP) algorithm for optimal feature selection and uses eXtreme Gradient Boosting (XGBoost) for classification. …”
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GLBR: A novel global load balancing routing scheme based on intelligent computing in partially disconnected wireless sensor networks by Zeyu Sun, Guisheng Liao, Cao Zeng, Lan Lan, Guozeng Zhao

“…Second, we adopt the genetic algorithm to build extra routing between different segments for intersegment load balancing. …”
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Prediction of Epileptic Seizure by Analysing Time Series EEG Signal Using k-NN Classifier by Md. Kamrul Hasan, Md. Asif Ahamed, Mohiuddin Ahmad, M. A. Rashid

“…The k-nearest neighbours (k-NN) algorithm is used for the classification of epilepsy then regression analysis is used for the prediction of the epilepsy level at different ages of the patients. …”
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Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence by Qiao Shi-fan, Tan Jun-kun, Zhang Yong-gang, Wan Li-jun, Zhang Ming-fei, Tang Jun, He Qing

“…This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm. Taking an excavation project of a foundation pit of Kunming in China as an example, after analyzing the settlement monitoring data of cross sections JC55 and JC56, the representative monitoring sites JC55-2 and JC56-1 were selected as the training monitoring samples of the GWO-ELM model. …”
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Approach for designing and modelling of nanoscale DG MOSFET devices using Kriging metamodelling technique by Toufik Bentrcia, Fayçal Djeffal, Elasaad Chebaki

“…It is also shown that the obtained Kriging interpolation models are precise enough to be used as objective functions in the context of a genetic algorithm optimisation with the aim of improving the device analogue/RF performance in terms of transconductance and cut‐off frequency parameters. …”
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Power allocation optimization strategy for multiple virtual power plants with diversified distributed flexibility resources by Zejian Qiu, Xin Zhang, Zhanyuan Han, Fengchao Chen, Yuxin Luo, Kuan Zhang

“…Specifically, a distributed EHVPP division method based on the granular K‐medoids clustering algorithm is proposed to realize the independent autonomy and coordinated interaction between EHVPPs, and in order to quantify the operation and regulation capacity of distributed EHVPPs, an aggregation approach of regulating feasible domains of flexibility resources based on the improved zonotope approximations is developed. …”
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LPI Optimization Framework for Target Tracking in Radar Network Architectures Using Information-Theoretic Criteria by Chenguang Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou

“…The resulting nonconvex and nonlinear LPI optimization problems associated with different information-theoretic criteria are cast under a unified framework, and the nonlinear programming based genetic algorithm (NPGA) is used to tackle the optimization problems in the framework. …”
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Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer by Lamouchi Zakaria, Allal Abderrahim, Abderrahmane Khechekhouche, Antonio Marcos de Oliveira Siqueira, Júlio Cesar Costa Campos, Kheireddine Lamamra

“…Transitioning from 1000 W/m² to 700 W/m² insolation, the system exhibits stability in Vpv and rapid Ipv adjustment at MPP. The InC algorithm extends PV array operation, showcasing a decrease in power output to 2204 W at 60% flow rate. …”
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Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System by Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi

“…The improved SOM is applied to construct a voice instruction learning system for partner robots adopting a simple reinforcement learning algorithm. User's instructions of voices are classified by the PL-G-SOM at first, then robots choose an expected action according to a stochastic policy. …”
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Methodology to minimize the dynamic response of tall buildings under wind load controlled through semi-active magneto-rheological dampers by Francisco da Silva Brandão, Alex Koch de Almeida, Letícia Fleck Fadel Miguel

“…In the second configuration, called Uncontrolled Optimized (C2), the fundamental frequency of the building is optimized via PSO algorithm as a function of its mass. Then, in the third configuration, Controlled Optimized (C3), a set of MR dampers with behavior formulated via the modified Bouc-Wen rheological model and controlled through the Linear Quadratic Regulator associated with the Clipped Optimal control strategy (LQR-CO) is applied to the structure. …”
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Floating Neutral Detection Using Actual Generation of Form 2S Meters by I. Vicente, A. Arrinda, J. E. Rodriguez-Seco, L. Piyasinghe

“…Moreover, due to the simplicity of the algorithm, it can be embedded in the current generation of meters, which represents great potential of the detector. …”
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Influence of Inter-row Gap Value on Turbine Losses by Paul G. A. Cizmas, Corbett R. Hoenninger, Shun Chen, Harry F. Martin

“…The rotor-stator interaction in a (1/2)-stage turbine is simulated by solving the quasi-three-dimensional unsteady Euler/Navier-Stokes equations using a parallelized numerical algorithm. The reduced turnaround time and cost/MFLOP of the parallel code was crucial to complete the numerous run cases presented in this paper. …”
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Bias Correction in Monthly Records of Satellite Soil Moisture Using Nonuniform CDFs by Shan Wang, Huiling Shan, Chi Zhang, Yuexing Wang, Chunxiang Shi

“…In this paper, we applied the Douglas–Peucker curve approximation algorithm to approximate the CDFs and found that three nonuniformly spaced samples can achieve the same reduction in standard deviation. …”
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Computed Tomographic Tenography of Normal Equine Digital Flexor Tendon Sheath: An Ex Vivo Study by Luca Lacitignola, Pasquale De Luca, Alessandro Guarracino, Antonio Crovace

“…Single-slice helical scans, with 5 mm thickness, spaced every 3 mm, for a pitch of 0.6, and with bone algorithm reconstruction, were performed before and after injections of contrast medium. …”
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A DIC Based Technique to Measure the Contraction of a Skeletal Muscle Engineered Tissue by Emanuele Rizzuto, Silvia Carosio, Martina Faraldi, Simona Pisu, Antonio Musarò, Zaccaria Del Prete

“…The images acquired through a high speed camera were correlated with a custom-made algorithm and the longitudinal strain predictions were employed for measuring the spontaneous contraction. …”
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Exploiting the Composite Step Strategy to the Biconjugate A-Orthogonal Residual Method for Non-Hermitian Linear Systems by Yan-Fei Jing, Ting-Zhu Huang, Bruno Carpentieri, Yong Duan

“…Another benefit acquired is that it seems to be a viable algorithm providing some further practically desired smoothing of the convergence history of the norm of the residuals, which is justified by numerical experiments. …”
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Study on the Accuracy Improvement of the Second-Kind Fredholm Integral Equations by Using the Buffa-Christiansen Functions with MLFMA by Yue-Qian Wu, Xin-Qing Sheng, Xing-Yue Guo, Hai-Jing Zhou

“…In this paper, the multilevel fast multipole algorithm (MLFMA) is employed to accelerate iterative solution of the magnetic-field integral equation (MFIE). …”
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