The discernibility approach for multi-granulation reduction of generalized neighborhood decision information systems by Yanlan Zhang, Changqing Li

“…Then, the multi-granulation reduction of GNDISs by the discernibility tool provided a theoretical foundation for designing algorithms of multi-granulation reduction of DISs.…”
Get full text

Facile Conversion and Optimization of Structured Illumination Image Reconstruction Code into the GPU Environment by Kwangsung Oh, Piero R. Bianco

“…When combined with cost-effective, high-performance GPU-enabled computers, a 4- to 500-fold improvement in algorithm execution speed is observed as shown for the image denoising Hessian-SIM algorithm. …”
Get full text

Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods by Hanane Arahmane, El-Mehdi Hamzaoui, Rajaa Cherkaoui El Moursli

“…The computation of the performance index of separability of each tested nonnegative algorithm has allowed to select Second-Order NMF algorithm and NTF-2 model as the most efficient techniques for discriminating neutrons and gammas. …”
Get full text

A Protein Sequence Analysis Hardware Accelerator Based on Divergences by Juan Fernando Eusse, Nahri Moreano, Alba Cristina Magalhaes Alves de Melo, Ricardo Pezzuol Jacobi

“…The Viterbi algorithm is one of the most used dynamic programming algorithms for protein comparison and identification, based on hidden markov Models (HMMs). …”
Get full text

A fluid flow model for the software defined wide area networks analysis by Karol Marszałek, Adam Domański

“…This modification allows for the simulation of various networking topologies and can be used to test novel routing and active queue management algorithms in more detail. The obtained numerical analysis demonstrates the model’s advantages over traditional methods, enabling the exploration of new scenarios.…”
Get full text

Subspace Clustering of High-Dimensional Data: An Evolutionary Approach by Singh Vijendra, Sahoo Laxman

“…Most existing clustering algorithms become substantially inefficient if the required similarity measure is computed between data points in the full-dimensional space. …”
Get full text

Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks by Mehdi Nikoo, Farshid Torabian Moghadam, Łukasz Sadowski

“…Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). In this paper for purpose of constructing models samples of cylindrical concrete parts with different characteristics have been used with 173 experimental data patterns. …”
Get full text

A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor by Qixin Zhu, Lei Xiong, Hongli Liu, Yonghong Zhu, Guoping Zhang

“…The rotor almost does not move during the process of identification. The FFT algorithms are used to remove the phase bias effects in identification. …”
Get full text

Binaural speech intelligibility for combinations of noise, reverberation, and hearing-aid signal processing. by James M Kates, Mathieu Lavandier, Ramesh Kumar Muralimanohar, Emily M H Lundberg, Kathryn H Arehart

“…There was no significant improvement in intelligibility for the NH group for the noise suppression algorithm used here, and no significant improvement in intelligibility for the HI group for more advanced HA processing algorithms as opposed to linear amplification in either of the two acoustic spaces or at any of the three SNRs.…”
Get full text

Relay Selection and Subcarrier-Pair Based Energy-Efficient Resource Allocation for Multirelay Cooperative OFDMA Networks by Wanming Hao, Shouyi Yang, Wanliang Hao

“…Numerical studies are conducted to evaluate the EE of the proposed algorithms.…”
Get full text

Inertial-relaxed splitting for composite monotone inclusions by Oré, Ernesto, Mahey, Philippe, Ocaña, Eladio

“…An interesting feature of the resulting algorithms we have designed is that they present two distinct versions with a Gauss–Seidel or a Jacobi flavor, extending in that sense former proximal ADMM methods, both including inertial and relaxation parameters. …”
Get full text

Optimization Design of Phononic Crystals Based on BPNN-MPA in Applied Mathematical Analysis by Peiyun Ge

“…Therefore, this study combines back propagation neural networks with ocean predator algorithms to optimize the geometric structure of phononic crystals. …”
Get full text

Emergence of a Snake-Like Structure in Mobile Distributed Agents: An Exploratory Agent-Based Modeling Approach by Muaz A. Niazi

“…This paper presents a solution to the problem of modeling snake-like structures by proposing an agent-based, self-organizing algorithm resulting in an emergent and surprisingly resilient dynamic structure involving a minimal of interagent communication. …”
Get full text

Encoding and Decoding of Secret Messages Using Matrices. by Niwagaba, James

“…It is hoped that this activity of encoding and decoding messages not only offers teachers write great opportunities to either introduce or consolidate certain mathematical concepts and algorithms but also to convince their students that mathematics plays an important role in various walks of life and hence is a useful and meaningful field of study. …”
Get full text

Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“…Thus, this study provides insight into the use of Naive Bayes Classifier algorithm and SMOTE technique in MBTI personality prediction, with potential performance improvement through the use of Logistic Regression algorithm. …”
Get full text

Ascertainment and Verification of End-Stage Renal Disease and End-Stage Liver Disease in the North American AIDS Cohort Collaboration on Research and Design by Mari M. Kitahata, Daniel R. Drozd, Heidi M. Crane, Stephen E. Van Rompaey, Keri N. Althoff, Stephen J. Gange, Marina B. Klein, Gregory M. Lucas, Alison G. Abraham, Vincent Lo Re, Justin McReynolds, William B. Lober, Adell Mendes, Sharada P. Modur, Yuezhou Jing, Elizabeth J. Morton, Margaret A. Griffith, Aimee M. Freeman, Richard D. Moore

“…The algorithm had 100% sensitivity, 99% specificity, 82% PPV, and 100% NPV for ESRD. …”
Get full text

Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato by Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto

“…Three nonparametric algorithms were trained, i.e., Gaussian Process Regression (GPR), Support Vector Regression (SVR), and Partial Least Square Regression (PLSR). …”
Get full text

Exploiting Microwave Imaging Methods for Real-Time Monitoring of Thermal Ablation by Rosa Scapaticci, Gennaro G. Bellizzi, Marta Cavagnaro, Vanni Lopresto, Lorenzo Crocco

“…In particular, two model-based inversion algorithms are exploited to tackle the imaging task. …”
Get full text

Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network by Vu Viet Thang, F. F. Pashchenko

“…The aim of machine learning is to develop algorithms that can learn from data and solve specific problems in some context as human do. …”
Get full text

Wetland vegetation mapping improved by phenological leveraging of multitemporal nanosatellite images by Lucas T. Fromm, Laurence C. Smith, Ethan D. Kyzivat

“…Maximum Likelihood (MLC), Support Vector Machine (SVM), and Artificial Neural Network (ANN) classification algorithms are tested on individual, monthly- and multi-seasonal composite images. …”
Get full text