Integrating Machine Learning Algorithms to Construct a Triaptosis-Related Prognostic Model in Melanoma by Xie J, Zhang M, Qi M

“…The TCGA-SKCM cohort served as the training dataset, and GEO datasets were used for validation.Results: A robust prognostic model based on triaptosis-associated signature (TAS) was established using the SurvivalSVM algorithm. This model showed superior predictive performance, with consistently high concordance index (C-index) values across independent validation datasets. …”
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Investigating the performance of random oversampling and genetic algorithm integration in meteorological drought forecasting with machine learning by Tahsin Baykal, Özlem Terzi, Gülsün Yıldırım, Emine Dilek Taylan

“…Therefore, this study aims to evaluate the effectiveness of machine learning methods for meteorological drought estimation and to integrate Random Oversampling (ROS) and Genetic Algorithm (GA) methods to improve estimation accuracy. …”
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Smooth switching control of air–ground amphibious robot based on EZMP and integrator initial value by Jie Duan, Heming Zhao, Chungui Zhou, Fei Xie, Zhiling Peng, Zhibo Pei, Kaijie Yue

“…In this paper, a novel controller smooth switching strategy is proposed to address the stability problem of the low-cost air–ground amphibious robot under interference, taking into account both the processor’s performance and the flight control algorithm’s design difficulties. First, the control algorithm is split into a basic structure consisting of proportional and integral, and then, a smooth switching strategy with the initial value assigned to the integrator is designed to suppress the output transient during switching. …”
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Integrated analysis unraveling the immunologic and clinical prognostic values of synaptotagmin like 4 in pan-cancer by Yuehan Ren, Xiangbin Wu, Jinlei Li, Zhenhua Zhou, Shichang Ni, Jianhui Cai

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AI-based algorithms for estimating hydrochar properties in terms of biomass ultimate analysis by Raouf Hassan, Ali sharifzadegan, Alireza Baghban

“…Hydrochar, a sustainable biofuel derived from biomass via hydrothermal carbonization, requires precise prediction of its yield and higher heating value (HHV) for efficient utilization. This study uniquely integrates an extensive dataset and a comprehensive suite of state-of-the-art machine learning algorithms and advanced feature importance analysis to enhance the predictive modeling and interpretability of hydrochar yield and HHV based on biomass properties and process parameters. …”
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Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm by Manpreet Singh, Jitender Kumar Chhabra

“…The threshold values are optimized using the genetic algorithm (GA). …”
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High resolution weld semantic defect detection algorithm based on integrated double U structure by Xiaoyan Li, Yi Wei, Zhigang Lv, Peng Wang, Liangliang Li, Mengyu Sun, Chu Wang

“…In this study, a high-resolution semantic segmentation algorithm based on a double U-shaped network was proposed to meet the requirements of pressure vessel weld defect detection, and accurate detection was realized through innovative three-stage processing flow. …”
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Integrated transportation system planning with gravitational search algorithm approach based on fuzzy mutant controller by Alireza Hosseinzadeh Kashani, Seyed Ahmad Shayannia, Mohammad Mehdi Movahedi, Soheila Sardar

“…</p> <ol style="text-align: left;" start="3"> <li><strong>Methodology</strong></li> </ol> <p style="text-align: left;">In this research, the goal of developing the gravitational force algorithm is to solve the problems of integrated and multi-purpose transportation systems, and in the real world, the effect of gravity on objects in a mutual way and the application of gravitational force to all objects in space is the main idea of ​​this algorithm. …”
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Modified Differential Evolution Algorithm for Governing Virtual Inertia of an Isolated Microgrid Integrating Electric Vehicles by Debayani Mishra, Manoj Kumar Maharana, Manoj Kumar Kar, Anurekha Nayak, Murthy Cherukuri

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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…In this research, we introduce the Improved Multi-Verse Optimizer (IMVO) algorithm, a novel feature selection method that integrates the Multi-Verse Optimizer (MVO) with local search algorithms (LSAs). …”
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Methodology for determining and controlling the load capacity of integrated circuits by Gennady P. Shopin, Alina A. Denisyuk, Mikhail N. Piganov

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HASHING ALGORITHM BASED ON TWO-DIMENSIONAL CHAOTIC MAPPINGS by A. V. Sidorenko, I. V. Shakinko

“…A new hashing algorithm based on dynamic chaos is proposed. Owing to the use of chaotic mappings, this algorithm is irreversible and a search for two messages with identical hash-values becomes computationally difficult. …”
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Optimizing stochastic multi-project scheduling with a simulation integrated multi-objective genetic algorithm by Mudassar Rauf, Muhammad Imran, Jabir Mumtaz, Saima Javed

“…A simulation-based mathematical model is developed and integrated with a multi-objective genetic algorithm. …”
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Approximate Solutions to Three-Point Boundary Value Problems with Two-Space Integral Condition for Parabolic Equations by Jing Niu, Yingzhen Lin, Minggen Cui

“…Based on the orthogonal basis of the reproducing kernel space, an efficient algorithm is provided firstly to solve a three-point boundary value problem of parabolic equations with two-space integral condition. …”
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Automated metadata transformation in a medical data integration center: Implementation of an algorithm and standardized quality analysis by Bönisch, Caroline

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Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review by Aurelia Morabito, Giulia De Simone, Roberta Pastorelli, Laura Brunelli, Manuela Ferrario

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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

“…The base learner of the Stacking integration model was selected using diversity and performance indices, with parameters optimized through a differential evolution algorithm incorporating multiple mutation strategies and dynamic adjustment of mutation factors and recombination rates. …”
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Missing value interpolation algorithm for long-term temperature observation data based on data augmentation multiple interpolation method by Xiaolin Liu, Bo Wang, Shuanglong Jin, Zongpeng Song

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Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study by Khalid Masood, Muhammad Arshad, Muhammad Abubakar, Muhammad Naeem Aslam, Mohammed A. Alghamdi, Sultan H. Almotiri

“…Abstract The optimal control methods for managing Lorenz model are achieved using an innovative intelligent computing framework that integrates artificial neural networks with stochastic unsupervised learning-based optimizers, specifically Firefly (FA) and Archimedes algorithm (AOA). …”
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The analysis of international communication value assessment of Chinese mythology themed animated films in belt and road under BPNN algorithm by Nan Zhang, Ellen Zhu

“…With the promotion of the “Belt and Road” initiative, how to scientifically assess their international communication value has become a current research hotspot. The innovation of this work lies in integrating the Backpropagation Neural Network (BPNN) algorithm from artificial intelligence techniques with the Bidirectional Long Short-Term Memory (BiLSTM) algorithm. …”
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