Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset by Gennady Chuiko, Denys Honcharov

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Deep learning-based object detection algorithms in medical imaging: Systematic review by Carina Albuquerque, Roberto Henriques, Mauro Castelli

“…The continuous evolution of DL algorithms highlighted in the literature underscores the dynamic nature of this field, emphasizing the need for ongoing research and fitted optimization for specific applications.…”
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Spectral optimization of supercontinuum shaping using metaheuristic algorithms, a comparative study by Mathilde Hary, Teemu Koivisto, Sara Lukasik, John M. Dudley, Goëry Genty

“…Machine learning and metaheuristic algorithms offer more efficient optimization approaches. …”
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REKONFIGURASI 26 KANAL IRIGASI MENGGUNAKAN METODE BINARY FIREFLY ALGORITHMS (BFA) by M Yunus, Markhaban Siswanto, Slamet Imam Wahyudi, Soedarsono Soedarsono, Nazariano Rahman Wahyudi, Machrus Ali

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Emotion Monitoring for Preschool Children Based on Face Recognition and Emotion Recognition Algorithms by Guiping Yu

“…In this paper, we study the face recognition and emotion recognition algorithms to monitor the emotions of preschool children. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Fourier and wavelet transforms are used to extract features and the performances of various machine learning algorithms, namely Decision Tree, Random-Forest, K-Nearest Neighbors, Support Vector Machine, Artificial Neural Networks, and SubSpace KNN, are comparatively studied. …”
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State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives by Hasan Mostafaei, Mahdi Ghamami

“…This review examines SSI-based algorithms, covering essential components such as system identification, noise mode elimination, stabilization diagram interpretation, and clustering techniques for mode identification. …”
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Two General Algorithms for Computing Fixed Points of Nonexpansive Mappings in Banach Spaces by Shuang Wang

“…Recently, Yao et al. (2011) introduced two algorithms for solving a system of nonlinear variational inequalities. …”
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Optimization of Time-Varying Temperature Profiles for Enhanced Beer Fermentation by Evolutive Algorithms by Pablo Ruarte, Nadia Pantano, Marianela Noriega, Cecilia Fernández, Emanuel Serrano, Gustavo Scaglia

“…This method integrates Fourier series and orthogonal polynomials for control action parameterization, in combination with evolutionary algorithms for parameter optimization. A key advantage of this methodology lies in its ability to handle a reduced parameter set efficiently, resulting in temperature profiles that are continuous and differentiable. …”
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CSP-based resource allocation model and algorithms for energy-efficient cloud computing by Wei-wei LIN, Bo LIU, Liang-chang ZHU, De-yu QI

“…The resource allocation for energy-efficient cloud computing in a heterogeneous environment was modeled as a constraint satisfaction problem (CSP).By solving the constraint satisfaction problem,the optimized allocation scheme minimizing energy consumption in virtualized cloud data centers was obtained.Based on the optimized allocation scheme,an energy-efficient resource allocation algorithm,dynamicpower (DY),which takes into account the heterogene-ity of resources,was proposed.The performance of algorithm was evaluated using Choco.Experimental results show that,compared with first-fit decreasing (FFD),best-fit decreasing (BFD) and minimizing the number of physical machines (MinPM),the proposed algorithm (DY) has less energy consumption.…”
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Design of Optimal QFT Controller and Prefilter for Buck Converter Using Metaheuristic Algorithms by Nitish Katal, Shiv Narayan

“…The controller synthesis problem has been posed as an optimization problem, and metaheuristic algorithms have been used for obtaining the optimal gains for the QFT controller and prefilter. …”
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Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals by Urmila Pyakurel, Shiva Prakash Gupta, Durga Prasad Khanal, Tanka Nath Dhamala

“…Moreover, a polynomial-time algorithm for the maximum static flow problem and pseudopolynomial algorithms for the earliest arrival transshipment and maximum dynamic flow problems are presented. …”
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STRUCTURAL OPTIMIZATION FOR CONTINUOUS CHANGE RAIL LINE BASED ON IMPROVED ALGORITHMS CHAOS by WU YuanKe, LIU Fang, LIU ChaoQun, LI WenTao, SUN JingKun

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Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview by Róbert Csalódi, Zoltán Süle, Szilárd Jaskó, Tibor Holczinger, János Abonyi

“…This article reviews the impact of Industry 4.0 solutions concerning optimization tasks and optimization algorithms, in addition to the identification of the new R&D directions driven by new application options. …”
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Research on greedy reconstruction algorithms of compressed sensing based on variable metric method by Pan-pan LIU, Lei LI, Hao-yu WNAG

“…A variable metric method based gradient pursuit algorithm based on some existing gradient pursuit algorithms was proposed by combining the gradient direction of optimization methods with greedy algorithms.The computational complexity and storage requirements of these algorithms were also analysed and compared.In experimental part,all these algorithms were used to reconstruct one-dimensional audio signal and two-dimensional image signal.Experimental results show that the VMMGP algorithm has the best reconstruction performance among all the gradient pursuit algorithms.…”
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Refining management strategies for Lennox–Gastaut syndrome: Updated algorithms and practical approaches by Stéphane Auvin, Alexis Arzimanoglou, Mercè Falip, Pasquale Striano, J. Helen Cross

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Intelligent control algorithms for posture and height control of four-leg hydraulic supports by Yihui Pang, Yaoyu Shi

“…The robustness, stability, calculation accuracy, and speed of these algorithms have been verified through analysis using the skeleton model and field measurement methods. …”
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Classification Performance Analysis of Decision Tree-Based Algorithms with Noisy Class Variable by Abdulmajeed Atiah Alharbi

“…The C4.5, CART, and random forest (RF) algorithms are considered to be three of the most used algorithms in decision trees. …”
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Effectiveness of Different Algorithms and Cut-off Value in Preeclampsia First Trimester Screening by Piotr Tousty, Bartosz Czuba, Dariusz Borowski, Magda Fraszczyk-Tousty, Sylwia Dzidek, Ewa Kwiatkowska, Aneta Cymbaluk-Płoska, Andrzej Torbé, Sebastian Kwiatkowski

“…The first aim of our study was to assess the detectability of women at risk of developing eo-PE depending on the algorithm used. All 801 patients had an estimated risk of eo-PE based on the Fetal Medicine Foundation algorithm. …”
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Service chain deployment algorithms for deterministic end-to-end delay upper bound by Ze’nan WANG, Jiao ZHANG, Shuo WANG, Tao HUANG, F.Richard Yu

“…To solve the problem that the current service chain deployment algorithms cannot guarantee the delay of each packet passing through the service chain (SC), a SC deployment algorithm for deterministic end-to-end delay upper bound was proposed.First, the end-to-end delay bound of the SC was derived based on network calculus.Then, the deterministic end-to-end delay bound of the SC was achieved by collaboratively optimizing the routing of SC and the resource allocation of the virtual network function nodes in the SC.The experimental results show that the proposed algorithm can effectively improve the volume of accepted SC while guaranteeing that the end-to-end delay of each packet satisfies the delay requirements.…”
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