Layer-Based Data Aggregation and Performance Analysis in Wireless Sensor Networks by Hongju Cheng, Yongzhao Chen, Naixue Xiong, Feifei Li

“…The basic idea is that we first build an aggregation tree by ordering nodes into layers, and then we proposed a scheduling algorithm on the basis of the aggregation tree to determine the transmission time slots for all nodes in the network with collision avoiding. …”
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Research on wear and grinding models of high-speed turnouts based on semi-Hertz contact by Jincheng Li, Yayun Qi, Pengpeng Wu, Junjun Ding, Haohao Ding

“…The ideal profile update step for the turnout rail is 0.05 mm, and the adaptive filtering algorithm, tailored to the turnout characteristics, smooths wear distribution effectively while retaining crucial data features. …”
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Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation by Hideaki Kim, Shigeru Shinomoto

“…The instantaneous firing characteristics, represented by the firing rate and non-Poisson irregularity, can be estimated using a computationally feasible algorithm. We applied our proposed methods to synthetic data to clarify that they perform well.…”
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An Unconventional Approach for Analyzing the Mechanical Properties of Natural Fiber Composite Using Convolutional Neural Network by Govindaraj Ramkumar, Satyajeet Sahoo, G. Anitha, S. Ramesh, P. Nirmala, M. Tamilselvi, Ram Subbiah, S. Rajkumar

“…The optimum microstructural model is identified by a developed model embedded with a genetic algorithm (GA) optimizer. The optimizer converges to conformations with highly enhanced properties. …”
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Risk Assessment of Drought Based on IEAPP-IDM in Qujing, Yunnan Province, China by Menghua Deng, Junfei Chen, Guiyun Liu, Huimin Wang

“…A new model for risk assessment of drought based on projection pursuit optimized by immune evolutionary algorithm and information diffusion method (IEAPP-IDM) was proposed. …”
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Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture by Mohammad Hossein Modirrousta, Parisa Forghani Arani, Reza Kazemi, Mahdi Aliyari‐Shoorehdeli

“…Given this, it is glaringly obvious that algorithmic tools with strong detection performance and dependability are required for a variety of attack types. …”
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Gaussian Process-Based Response Surface Method for Slope Reliability Analysis by Bin Hu, Guo-shao Su, Jianqing Jiang, Yilong Xiao

“…Furthermore, an iterative algorithm was presented to improve the precision of approximation of the limit state function at the region near the design point which contributes significantly to the failure probability. …”
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Rough Set Neural Network Feature Extraction and Pattern Recognition of Shaft Orbits Based on the Zernike Moment by Xinfeng Ge, Jing Zhang, Ye Zhou, Jianguo Cai, Hui Zhang, Hongchang Hua, Dong Chen, Ming Zhao, Jinqi Du, Yuan Zheng

“…A rough set neural network (RS-BP hybrid model) of shaft orbit recognition is established, which uses just 13 moment eigenvalues reserved by the rough set feature selection algorithm as input variables; it has the same calculation error and recognition rate and reduces the calculation time step. …”
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Classification of Different Blueberry Cultivars by Analysis of Physical Factors, Chemical and Nutritional Ingredients, and Antioxidant Capacities by Juan Song, Qiong Shi, Si-Min Yan, Hai-Yan Fu, Si-Zhan Wu, Lu Xu

“…A supervised classification method, partial least squares discriminant analysis (PLSDA), was combined with the global particle swarm optimization algorithm (PSO) and two multiclass strategies, one-versus-rest (OVR) and one-versus-one (OVO), to select discriminative quality factors and develop classification models of the 12 cultivars. …”
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Phase-Only Antenna Array Reconfigurability with Gaussian-Shaped Nulls for 5G Applications by Giulia Buttazzoni, Massimiliano Comisso, Federico Ruzzier, Roberto Vescovo

“…This allows the simplification of the array feeding network, hence reducing the cost of realization of 5G base stations and mobile terminals. The proposed algorithm, which is based on the method of successive projections, relies on closed-form expressions for both the projectors and the null positions, thus allowing a fast computation of the excitation phases at each iteration. …”
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Probe Selection and Power Weighting in Multiprobe OTA Testing: A Neural Network-Based Approach by Yong Li, Hao Sun, Xingyu Chen, Lijian Xin, Xiang Zhang

“…., the well-known multishot algorithm, the proposed NN-based approach can yield similar channel emulation accuracy with significantly reduced computational complexity.…”
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Effective Lock Detectors Based on Costas Loop Output for SBPSK Mobile Communications by D. Ferramola, T. Casilli, S. Pradella, G. Giunta, D. Orlando

“…Such estimates are obtained through an iterative strategy relying on the Expectation Maximization algorithm. Moreover, when possible, we provide exact statistical characterizations of the considered decision schemes (including the competitors) or, in the other case, suitable approximations that allow for a straightforward performance evaluation. …”
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Assessment of leachate-contaminated clays using experimental and artificial methods by Hossein Moradi Moghaddam, Ahmad Fahimifar, Taghi Ebadi, Mohsen Keramati, Sumi Siddiqua

“…Forensic-based investigation optimization (FBIO) and equilibrium optimizer algorithm (EOA) were utilized in addition to multiple types of ensemble models, including adaptive boosting (ADB), gradient boosting regression tree (GBRT), extreme gradient boosting (XGB)) and random forest (RF). …”
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A Multi-Agent Control Architecture for a Robotic Wheelchair by C. Galindo, A. Cruz-Martin, J. L. Blanco, J. A. Fernńndez-Madrigal, J. Gonzalez

“…Within our design, agents have their own intentions and beliefs, have different abilities (that include algorithmic behaviours and human skills) and also learn autonomously the most convenient method to carry out their actions through reinforcement learning. …”
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First-in-human dose escalation trial to evaluate the clinical safety and efficacy of an anti-MAGEA1 autologous TCR-transgenic T cell therapy in relapsed and refractory solid tumors by Ignacio I Wistuba, Mamta Kalra, Linus Backert, Martin Wermke, Edwin R Parra, Jason John Luke, Apostolia M Tsimberidou, Sebastian Bunk, Mohammad B Hossain, Andrea Mayer-Mokler, Arun Satelli, Norbert Hilf, Steffen Walter, Cedrik M Britten, Van K Morris, Tobias A W Holderried, Winfried H Alsdorf, Katrin Wetzko, Borje S Andersson, Sandra Grund-Gröschke, Katrin Aslan, Anantha Marisetty, Swapna Satam, Jens Hukelmann, M Alper Kursunel, Karine Pozo, Andreas Acs, Melissa Baumeister, Claudia Wagner, Oliver Schoor, Ali S Mohamed, Delfi Krishna

“…We investigated the safety and tolerability of IMA202 in a first-in-human, dose escalation basket trial in human leucocyte antigen A*02:01 positive patients with melanoma-associated antigen A1 (MAGEA1)-positive advanced solid tumors.Trial design The 2+2 trial design was an algorithmic design based on a maximally acceptable dose-limiting toxicity (DLT) rate of 25% and the sample size was driven by the algorithmic design with a maximum of 16 patients. …”
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Monitoring the Concentrations of Na, Mg, Ca, Cu, Fe, and K in <i>Sargassum fusiforme</i> at Different Growth Stages by NIR Spectroscopy Coupled with Chemometrics by Sisi Wei, Jing Huang, Ying Niu, Haibin Tong, Laijin Su, Xu Zhang, Mingjiang Wu, Yue Yang

“…The effects of four spectral pretreatment methods and three wavelength selection methods, including the synergy interval partial least squares (SI-PLS) algorithm, genetic algorithm (GA), and competitive adaptive reweighted sampling method (CARS) on the model optimization, were evaluated. …”
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Spatial deconvolution from bulk DNA methylation profiles determines intratumoral epigenetic heterogeneity by Binbin Liu, Yumo Xie, Yu Zhang, Guannan Tang, Jinxin Lin, Ze Yuan, Xiaoxia Liu, Xiaolin Wang, Meijin Huang, Yanxin Luo, Huichuan Yu

“…The 7 most representative CpGs were identified and subsequently selected to develop the MeHEG algorithm. We validated its performance of deconvolution of tumor regions in an independent cohort. …”
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Is the freezing index a valid outcome to assess freezing of gait during turning in Parkinson’s disease? by Maaike Goris, Pieter Ginis, Clint Hansen, Christian Schlenstedt, Christian Schlenstedt, Jeffrey M. Hausdorff, Jeffrey M. Hausdorff, Jeffrey M. Hausdorff, Nicholas D’Cruz, Wim Vandenberghe, Wim Vandenberghe, Walter Maetzler, Alice Nieuwboer, Moran Gilat

“…The FOG-index is a widely used wearable sensor-based algorithm to quantify FOG severity during turning. …”
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Identifikasi Nada antara Suling Sunda dan Suling Rekorder dengan Menggunakan Metode Frequency Cpstral Coefficients (MFCC) dan Dynamic Time Warping (DTW) by Fawwaz Muhammad Suryadikarsa, Youllia Indrawaty Nurhasanah, Irma Amelia Dewi

“…This research was made using an algorithm Mel Frequency Cepstral Coefficient (MFCC) to perform feature extraction and algorithm processes Dynamic Time Warping (DTW) is used to identify the time difference of recording. …”
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Part-Of-Speech Tagging research on Madurese language using Viterbi algorithm, consists of 3 processes, which are training and testing corpus pre-processing, training the corpus by Hidden Markov Model, and tag classification using Viterbi algorithm. …”
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