Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement by Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian

“…Nowadays, data mining algorithms can provide intelligent methods in the health and treatment system that accurately detect breast cancer. …”
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A novel early stage drip irrigation system cost estimation model based on management and environmental variables by Masoud Pourgholam-Amiji, Khaled Ahmadaali, Abdolmajid Liaghat

“…Support vector machine (SVM) and optimization algorithms (Wrapper) were found to be the best learner and feature selection techniques, respectively, out of all the available feature selection algorithms. …”
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Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning by Milenko Brković, Mirjana Simić

“…Among the localization algorithms, nearest neighbor fingerprinting algorithms based on Received Signal Strength (RSS) parameter have been extensively studied as an inexpensive solution for delivering indoor Location Based Services (LBS). …”
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Investigation on Evolutionary Synthesis of Movement Commands by Zuzana Oplatková, Ivan Zelinka

“…Because analytic programming needs evolutionary algorithms for its run, three evolutionary algorithms were used—self-organizing migrating algorithm, differential evolution, and simulated annealing—to show that anyone can be used. …”
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Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model by Nuapett Sarasiri, Kittiwong Suthamno, Sarawut Sujitjorn

“…The proposed cooperative algorithms are formed from the bacterial foraging optimization (BFO) algorithm and the tabu search (TS). …”
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A Comparative Holistic Fuzzy Approach for Evaluation of the Chain Performance of Suppliers by Ergün Eraslan, Kumru Didem Atalay

“…The managerial advantages obtained from the proposed fuzzy algorithms are also analyzed and interpreted.…”
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EC-Structure: Establishing Consumption Structure through Mining E-Commerce Data to Discover Consumption Upgrade by Lin Guo, Dongliang Zhang

“…The experiments prove the efficacy of the algorithm proposed in this paper compared to other similar algorithms using several different datasets, which illustrates the algorithm’s efficacy and stable performance in consumption structure analysis.…”
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Design of Large Thinned Arrays Using Different Biogeography-Based Optimization Migration Models by Sotirios K. Goudos, John N. Sahalos

“…Array thinning is a common discrete-valued combinatorial optimization problem. Evolutionary algorithms are suitable techniques for above-mentioned problem. …”
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Community Detection with Self-Adapting Switching Based on Affinity by Ning-Ning Wang, Zhen Jin, Xiao-Long Peng

“…Our algorithm also provides a new framework of combination algorithm for community detection. …”
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Audiogmenter: a MATLAB toolbox for audio data augmentation by Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan

“…Purpose – Create and share a MATLAB library that performs data augmentation algorithms for audio data. This study aims to help machine learning researchers to improve their models using the algorithms proposed by the authors. …”
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MINIMIZING THE NUMBER OF PROCESSING UNITS IN DISTRIBUTED COMPUTATIONS by N. S. Kovalenko, V. N. Vengherov, V. M. Metelyskij

“…The algorithms ensure minimum completion time of all the processes and their completion by the specified deadline.…”
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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

“…In this paper, we focus on the exploration problem inherent in many MARL algorithms. These algorithms often introduce new hyperparameters and incorporate auxiliary components, such as additional models, which complicate the adaptation process of the underlying RL algorithm to better fit multi-agent environments. …”
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Dynamic Automated Search of Shunting Routes within Mesoscopic Rail-Traffic Simulators by Antonin Kavička, Pavel Krýže

“…Applications of the algorithms and of the mathematical model of the track layout are demonstrated on a model track infrastructure.…”
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EEG analysis of speaking and quiet states during different emotional music stimuli by Xianwei Lin, Xinyue Wu, Zefeng Wang, Zhengting Cai, Zihan Zhang, Guangdong Xie, Lianxin Hu, Laurent Peyrodie

“…In the construction of EEG classification models, the classification performance of deep neural network algorithms is superior to other machine learning algorithms.…”
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Machine Learning Classification Techniques for Detecting the Impact of Human Resources Outcomes on Commercial Banks Performance by Sulaiman O. Atiku, Ibidun C. Obagbuwa

“…Most researchers in the past adopted traditional statistics to build prediction models; however, due to the efficiency of machine learning algorithms, a lot of researchers now apply various machine learning algorithms to various fields, including performance prediction systems. …”
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Robust Clustering Using Hyperdimensional Computing by Lulu Ge, Keshab K. Parhi

“…Similarity-based affinity propagation outperforms the other three HDC-based clustering algorithms on eight datasets by 2% ~ 38% in clustering accuracy. …”
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Functionally-Equivalent Formalization and Automated Model Checking of Function Block Diagrams by Tomas Ausberger, Karel Kubicek, Pavla Medvedcova

“…This method can be used for automatic verification of I&C algorithms by model checking while preserving obtained proofs from a formalised model in the original algorithm. …”
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Automated Estimation of Acute Infarct Volume from Noncontrast Head CT Using Image Intensity Inhomogeneity Correction by Keith A. Cauley, Gino J. Mongelluzzo, Samuel W. Fielden

“…A digital image analysis algorithm was developed using image intensity inhomogeneity correction (IIC) and intensity thresholding. …”
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Ground-Target Recognition Method Based on Transfer Learning by Qiuzhan Zhou, Jikang Hu, Huinan Wu, Cong Wang, Pingping Liu, Xinyi Yao

“…We anticipate that our algorithm will be the starting point for more complex recognition algorithms. …”
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Thompson Sampling for Non-Stationary Bandit Problems by Han Qi, Fei Guo, Li Zhu

“…To address this, we propose two algorithms, discounted TS and sliding-window TS, designed for sub-Gaussian reward distributions. …”
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