Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…The ZdensityRODE algorithm showcased a precision and recall of 93% for ictal event detection and 42% precision for interictal event detection, while the AMPDE algorithm attained a precision of 96% and recall of 90% for ictal event detection and 54% precision for interictal event detection. …”
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Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time by Roja Ruhbakhsh, Esmaeil Mehdizadeh, Mohammad Amin Adibi

“…Inspired by previous studies, two multi objective metaheuristic algorithms based on the genetic algorithm is used to solve the large-scale problems. …”
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A Proposal to Speed up the Computation of the Centroid of an Interval Type-2 Fuzzy Set by Carlos E. Celemin, Miguel A. Melgarejo

“…This paper presents two new algorithms that speed up the centroid computation of an interval type-2 fuzzy set. …”
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Rule-Based Classification Based on Ant Colony Optimization: A Comprehensive Review by Sayed Kaes Maruf Hossain, Sajia Afrin Ema, Hansuk Sohn

“…The Ant Colony Optimization (ACO) algorithms have been well-studied by the Operations Research community for solving combinatorial optimization problems. …”
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Discrete resource allocation problems and military applications by Vytautas Tiešis

“…The non-linear models of multiple target prioritisation are presented in the case of multiple different weapons. The fast greedy algorithms are presented and investigated. In the case of homogeneous resources (weapons) the algorithms give optimal solutions. …”
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Second-Order Model Reduction Based on Gramians by Cong Teng

“…Some new and simple Gramian-based model order reduction algorithms are presented on second-order linear dynamical systems, namely, SVD methods. …”
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Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

“…The study employs ensemble Bagging algorithms, the gradient boosting machine (GBM), genetic algorithm, Naïve Bayes algorithm, gradient boosting decision trees, and extremely randomized trees. …”
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From Integer Programming to Machine Learning: A Technical Review on Solving University Timetabling Problems by Xin Gu, Muralee Krish, Shaleeza Sohail, Sweta Thakur, Fariza Sabrina, Zongwen Fan

“…We explored the uses of machine learning algorithms and the hybrid solutions of combining the integer programming and machine learning algorithms in higher education timetabling solutions. …”
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Aircraft Detection for Remote Sensing Images Based on Deep Convolutional Neural Networks by Liming Zhou, Haoxin Yan, Yingzi Shan, Chang Zheng, Yang Liu, Xianyu Zuo, Baojun Qiao

“…However, the proposed algorithms still have a series of problems; for instance, the algorithms will miss some small-scale aircrafts when applied to the remote sensing image. …”
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A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers by Jesús Soto-Cruz, Erica Ruiz-Ibarra, Javier Vázquez-Castillo, Adolfo Espinoza-Ruiz, Alejandro Castillo-Atoche, Joaquin Mass-Sanchez

“…Therefore, lightweight and efficient security algorithms are essential. This review paper assesses the implementation of lightweight cryptographic algorithms for power-constrained microcontrollers in IoT systems using symmetric cryptography. …”
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Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System by Ali Nasser Hussain, Waleed Khalid Shakir Al-Jubori, Haider Fathi Kadom

“…The optimal selections of open switches, location, and size of capacitors in the individual and dual design for RDS are achieved using four different optimization algorithms. These algorithms are Modified Biogeography-Based Optimization (MBBO) algorithm, Cuckoo Search (CS) algorithm, Modified Imperialist Competitive (MIC) algorithm, and Modified Bacterial Foraging-Based Optimization (MBFBO) algorithm. …”
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Data-Driven Machine-Learning Model in District Heating System for Heat Load Prediction: A Comparison Study by Fisnik Dalipi, Sule Yildirim Yayilgan, Alemayehu Gebremedhin

“…In order to determine which algorithm had the best accuracy, we conducted performance comparison among these ML algorithms. …”
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Revisiting Sum of Residues Modular Multiplication by Yinan Kong, Braden Phillips

“…As the field matured, sum of residues modular multiplication lost favor to the extent that all recent surveys have either overlooked it or incorporated it within a larger class of reduction algorithms. In this paper, we present a new taxonomy of modular multiplication algorithms. …”
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Joint Power Allocation at the Base Station and the Relay for Untrusted Relay Cooperation OFDMA Network by Weiheng Jiang, Wenjiang Feng

“…In addition, the convergence and computational complexity of the proposed algorithms are analyzed. Finally, simulations results are presented to demonstrate the performance of our proposed algorithms.…”
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Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation by G. P. Ozerova

“…Learning Management System (LMS) analytics data is proposed to be used in developing algorithms for evaluating students’ self-studies. Development of such algorithms is relevant considering annual growth of disciplines that apply blended learning. …”
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Solving Split Common Fixed-Point Problem of Firmly Quasi-Nonexpansive Mappings without Prior Knowledge of Operators Norms by Jing Zhao, Hang Zhang

“…Very recently, Moudafi introduced alternating CQ-algorithms and simultaneous iterative algorithms for the split common fixed-point problem concerned two bounded linear operators. …”
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Smoothing Connected Ball Bézier Curves by Energy Minimization by Juncheng Li, Chengzhi Liu

“…Then, we combine the internal energy and the curve attractor and give the algorithm based on combined energy minimization. All algorithms are established by solving bi-objective minimizations. …”
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Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition by Zhe-Zhou Yu, Yu-Hao Liu, Bin Li, Shu-Chao Pang, Cheng-Cheng Jia

“…Considering this case, if a company hired an employee, all his images information needs to be recorded into the system; if we rerun the face recognition algorithm, it will be time consuming. To address this problem, In this paper, firstly, we proposed a novel subspace incremental method called incremental graph regularized nonnegative matrix factorization (IGNMF) algorithm which imposes manifold into incremental nonnegative matrix factorization algorithm (INMF); thus, our new algorithm is able to preserve the geometric structure in the data under incremental study framework; secondly, considering we always get many face images belonging to one person or many different people as a batch, we improved our IGNMF algorithms to Batch-IGNMF algorithms (B-IGNMF), which implements incremental study in batches. …”
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Adaptive Filtering for Channel Estimation in RIS-Assisted mmWave Systems by Shuying Shao, Tiejun Lv, Pingmu Huang

“…These algorithms leverage the sparse nature of mmWave channels to improve estimation accuracy. …”
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Modal Parameter Identification from Output Data Only: Equivalent Approaches by Joseph Lardies

“…These algorithms are derived from properties of the subspace approach. …”
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