Targeted maximum likelihood based estimation for longitudinal mediation analysis by Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der

“…We utilize the highly adaptive lasso (HAL) and projection representations to derive new estimators (HAL-EIC) of the efficient influence curves (EICs) of longitudinal mediation problems and propose a fast one-step TMLE algorithm using HAL-EIC while preserving the asymptotic properties. …”
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Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine by Lei Jiang, Jiaming Li, Suhuai Luo, Sam West, Glenn Platt

“…In power load event detection, the paper presents a new transient detection algorithm. By turn-on and turn-off transient waveforms analysis, it can accurately detect the edge point when a device is switched on or switched off. …”
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An Artificial Intelligence Approach for the Kinodynamically Feasible Trajectory Planning of a Car-like Vehicle by Vito Antonio Nardi, Marianna Lanza, Filippo Ruffa, Valerio Scordamaglia

“…Navigation in the graph is performed through a hybrid A* algorithm whose performance metrics are improved through a properly trained classificator, which can forecast whether a candidate trajectory segment is feasible or not. …”
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A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM by HungLinh Ao, Junsheng Cheng, Kenli Li, Tung Khac Truong

“…This study investigates a novel method for roller bearing fault diagnosis based on local characteristic-scale decomposition (LCD) energy entropy, together with a support vector machine designed using an Artificial Chemical Reaction Optimisation Algorithm, referred to as an ACROA-SVM. First, the original acceleration vibration signals are decomposed into intrinsic scale components (ISCs). …”
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A hardware prototype of wideband high‐dynamic range analog‐to‐digital converter by Satish Mulleti, Eliya Reznitskiy, Shlomi Savariego, Moshe Namer, Nimrod Glazer, Yonina C. Eldar

“…To avoid clipping, modulo folding can be used before sampling, followed by an unfolding algorithm to recover the true signal. Here, the authors present a modulo hardware prototype that can be used before sampling to avoid clipping. …”
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A Novel Method for Economic Dispatch with Across Neighborhood Search: A Case Study in a Provincial Power Grid, China by Guojiang Xiong, Jing Zhang, Xufeng Yuan, Dongyuan Shi, Yu He, Yao Yao, Gonggui Chen

“…In order to effectively solve the problem, a simple yet very young and efficient population-based algorithm named across neighborhood search (ANS) is implemented in this paper. …”
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Prediction of Punching Capacity of Slab-Column Connections without Transverse Reinforcement Based on a Backpropagation Neural Network by Jie Bu, FanZhen Zhang, Meng Zhu, Zhiyang He, Qigao Hu

“…Then, based on the Levenberg–Marquardt (LM) algorithm and using the nonlinear function of the backpropagation neural network (BPNN), a prediction model of the punching capacity of slab-column connections without transverse reinforcement is established. …”
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An MBS-Assisted Femtocell Transmit Power Control Scheme with Mobile User QoS Guarantee in 2-Tier Heterogeneous Femtocell Networks by Jenhui Chen, Chih-Cheng Yang, Shiann-Tsong Sheu

“…To tackle this technical problem, an FBS transmit power adjustment (FTPA) algorithm is proposed to adjust the FBS transmit power (FTP) to avoid unwanted cochannel interference (CCI) with the neighboring MUs in downlink transmission. …”
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A method for mining over-limit patterns of low voltage in users based on hierarchical affinity propagation clustering by SHEN Shuhao, ZHONG Qing, XU Zhong, WANG Gang, LI Haifeng, WANG Longjun

“…Firstly, large-scale voltage data is clustered into several clusters using the HAP clustering algorithm, and these clusters are regarded as the different over-limit patterns of low voltage. …”
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In situ real-time measurement for electron spin polarization in atomic spin gyroscopes by Feng Li, Haoying Pang, Zhuo Wang, Wenfeng Fan, Min Zhang, Zehua Liu, Jiahang Li, Bodong Qin, Xinxiu Zhou, Xusheng Lei, Ruigang Wang

“…This paper addresses this gap by developing a model for pump laser propagation within the vapor cell and proposing an Euler-particle swarm optimization (PSO) algorithm to estimate the model’s unknown parameters. …”
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3D Road Scene Monitoring Based on Real-Time Panorama by Yuezhou Wu, Changjiang Liu, Shiyong Lan, Menglong Yang

“…Firstly, land-points were extracted followed by motion detection, then comotion algorithm was applied to land-points from adjacent cameras, and homography matrix was constructed. …”
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Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering by S. K. Lakshmanaprabu, K. Shankar, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues, Plácido R. Pinheiro, Victor Hugo C. de Albuquerque

“…Also, the novelty of this work—the Dragonfly Algorithm (DA)—recognizes ideal features of the items in sites, and an advanced ideal feature-based positioning procedure will be directed to discover, at long last, which web-based business webpage is best and easy to understand. …”
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Rolling Bearing Degradation State Identification Based on LPP Optimized by GA by He Yu, Hong-ru Li, Zai-ke Tian, Wei-guo Wang

“…And then, locally preserving projection (LPP) is utilized to reduce dimension of original fusion feature set and genetic algorithm is applied to optimize the process of feature fusion. …”
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Psychological Support for Individuals Experiencing Acute Trauma (Based on Experience Working with Victims of a Terrorist Attack at Crocus City Hall) by I.V. Vachkov, E.I. Viryasova, O.S. Melenteva, M.A. Panfilova

“…Based on personal experience, the authors suggest a possible algorithm for dealing with trauma in witnesses and describe some effective techniques: eye movement desensitization and reprocessing (EMDR), breathing exercises, and imagotherapeutic techniques using a metaphor (“Resource (safe) place”, as well as techniques aimed at muscle relaxation and self-regulation.…”
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Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques by Fawad Zaman, Ijaz Mansoor Qureshi, Ata Ur Rehman, Shujaat Ali Khan Tanoli

“…In this connection, first the global search optimizers, that is,are developed separately Particle Swarm Optimization (PSO) and Differential Evolution (DE) are developed separately, and, to enhance the performances further, both of them are hybridized with a local search optimizer called Active Set Algorithm (ASA). Initially, the performance of PSO, DE, PSO hybridized with ASA, and DE hybridized with ASA are compared with each other and then with some traditional techniques available in literature using root mean square error (RMSE) as figure of merit.…”
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Change of Parameters of the Koiwa–Hasiguti Dynamic Dislocation Relaxation in Nanostructured and Polycrystalline Zirconium after Severe Plastic Deformation and Annealing by P. P. Pal-Val, L. N. Pal-Val, A. P. Rybalko, E. N. Vatazhuk

“…It is shown that the parameter β of the lognormal distribution determines the width, height, and asymmetry of the peak and also allows estimating the relaxation strength from the peak height. An algorithm for retrieving the parameter β from experimental data is presented.…”
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On Some Fundamental Peculiarities of the Traveling Wave Reactor by V. D. Rusov, V. A. Tarasov, I. V. Sharph, V. N. Vashchenko, E. P. Linnik, T. N. Zelentsova, M. E. Beglaryan, S. A. Chernegenko, S. I. Kosenko, V. P. Smolyar

“…On the basis of the condition for nuclear burning wave existence in the neutron-multiplying media (U-Pu and Th-U cycles) we show the possibility of surmounting the so-called dpa-parameter problem and suggest an algorithm of the optimal nuclear burning wave mode adjustment, which is supposed to yield the wave parameters (fluence/neutron flux, width and speed of nuclear burning wave) that satisfy the dpa-condition associated with the tolerable level of the reactor materials radioactive stability, in particular that of the cladding materials. …”
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Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix by P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka

“…According to the findings, the DNN is capable of making more accurate and reliable predictions of the incoming solar irradiance than the persistent algorithm. This is the case across the board. Even without any actual data, the proposed model is considered to be state-of-the-art because it outperforms the current NWP forecasts for the same time horizon as those forecasts. …”
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Optimization of Aircraft Climb Trajectory considering Environmental Impact under RTA Constraints by Junqiang Wan, Honghai Zhang, Fangzi Liu, Wenying Lv, Yifei Zhao

“…Then, considering the fuel economy and the greenhouse effect of pollutant emission, we establish a multiobjective model of aircraft flight parameter optimization, and, based on the multiobjective genetic algorithm, we establish an optimization model. Finally, we use B737-800 aircraft to carry out simulation experiments and find that, with the change of speed, fuel consumption and warming trend are different, and “objective weight, aircraft mass, flight distance, RTA time window, and wind” have different effects on the optimization results. …”
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Damped weighted erasable itemset mining with time sensitive dynamic environments by Hanju Kim, Myungha Cho, Seungwan Park, Doyoung Kim, Doyoon Kim, Unil Yun

“…Furthermore, extended evaluations on sensitivity and resultant itemsets show how the algorithm responds to varying parameters as well as provide insights on the discovered itemsets.…”
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