Algorithm Comparison and Evaluation of GAN Models Based on Image Transferring from Desert to Green Field by Zhenyu Liu, Hongjun Li

“…In order to improve the rendering efficiency of image style transformation and increase the variety of renderings, we can build an algorithm for automatically generating style images based on machine learning. …”
Get full text

Self-optimization of Wind Turbine Variable-pitch Control Parameters Based on Adaptive Genetic Algorithm by CHANG Sheng, WAN Yubin, JIANG Tao

“…For the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable-pitch control parameters based on adaptive genetic algorithm, including variable-gain variable-pitch PID parameter self-optimization and tower damping parameter self-optimization. …”
Get full text

Internet of Things Enabled Intelligent Automation for Smart Home with the Integration of PSO Algorithm and PID Controller by Rajesh Singh, Anita Gehlot, Piyush Kuchhal, Sushabhan Choudhury, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

Get full text

Clinical Heterogeneity of Early-Onset Autoimmune Gastritis: From the Evidence to a Pediatric Tailored Algorithm by Ivan Taietti, Martina Votto, Riccardo Castagnoli, Mirko Bertozzi, Maria De Filippo, Antonio Di Sabatino, Ombretta Luinetti, Alessandro Raffaele, Alessandro Vanoli, Marco Vincenzo Lenti, Gian Luigi Marseglia, Amelia Licari

Get full text

Dynamic performance improvement of oscillating water column wave energy conversion system using optimal walrus optimization algorithm-based control strategy by Habiba A. ElDemery, Hany M. Hasanien, Mohammed Alharbi, Chuanyu Sun, Dina A. Zaky

“…The optimal design of the proportional-integral (PI) controller using the walrus optimization algorithm (WOA) with the aim to enhance the dynamic performance of a grid-connected wave energy conversion (WEC) system when subjected to diverse operational conditions is presented in this paper. …”
Get full text

A multi-objective optimization-based ensemble neural network wind speed prediction model by Haoyuan Ma, Chang Liu, Ziyuan Qiao, Yuan Liang, Hongqing Wang

“…To optimize the hyperparameters of XGBoost, we introduce a novel algorithm named NS-ADPOA, which adopts a bi-objective optimization strategy targeting both Mean Squared Error and model complexity. …”
Get full text

A Comprehensive Analysis of Fake News Detection Models: A Systematic Literature Review and Current Challenges by Alok Mishra, Halima Sadia

Get full text

Increasing pathogenic germline variant diagnosis rates in precision medicine: current best practices and future opportunities by Sonam Dukda, Manoharan Kumar, Andrew Calcino, Ulf Schmitz, Matt A. Field

“…While interpreting genetic variation via standards such as ACMG guidelines is increasingly being recognized as a gold standard approach, the underlying datasets and algorithms recommended are often slow to incorporate additional data types and methodologies. …”
Get full text

AnImproved Naive Bayesian Text Classification Algorithm based on Weighted Features and its Complementary Set by CHEN Kai, HUANG Ying-lai, GAO Wen-tao, ZHAO Peng

“…When training samples of each class are distributed unevenly and sparsely，the features of smaller class cannot be adequately expressed and submerged by lager class，to solve this problem，a new method TFWCNB ( TF-IDF weighted complementary Na-ve Bayes) algorithm was proposed for unbalanced problem． TFWCNB used weighted features to improve the complement na-ve Bayes and TF-IDF algorithm to calculate the feature word’s weight in the current document; in additional，it used features of current class’ s complementary set to represent the features of current class， combining the feature word’ s weight，it can solve the problem that the classifier tends to larger class and ignores the smaller class． …”
Get full text

Improved Slime-Mould-Algorithm with Fitness Distance Balance-based Guiding Mechanism for Global Optimization Problems by Enes Cengiz, Mehmet Fatih Işık, Hamdi Kahraman, Cemal Yılmaz, Çağrı Suiçmez

“…In this study, the performance of Slime-Mould-Algorithm (SMA), a current Meta-Heuristic Search algorithm, is improved. …”
Get full text

An Improved SLAM Algorithm for Substation Inspection Robots Based on 3D Lidar and Visual Information Fusion by Yicen Liu, Songhai Fan

“…The experimental results show that the localization accuracy and map-building effect of the VO-Lidar SLAM algorithm designed in this paper are better than the current laser SLAM algorithm and verify the applicability of the color laser point cloud map constructed by this algorithm in substation environments.…”
Get full text

A novel heuristic Morlet wavelet neural network design for the painlevé equation-II arising in nonlinear optics by Sundas Faisal, Zulqurnain Sabir, Samra Urooj Khan, Muhammad Aamir, Krzysztof A. Cyran

“…Abstract The current investigations present the novel structure of Morlet wavelet neural network (MWNN) for the numerical solutions of Painlevé equation-II arising in nonlinear optics. …”
Get full text

A Self-Adaptive Parameter Optimization Algorithm in a Real-Time Parallel Image Processing System by Ge Li, Xuehe Zhang, Jie Zhao, Hongli Zhang, Jianwei Ye, Weizhe Zhang

“…We use load capacity functions (LC) to estimate the load for each processor and then make continuous self-adaptation towards a balanced status based on the fluctuated LC results; meanwhile, we pick up a proper set of target detection and location parameters according to the results of LC. Compared with current load balance algorithm, the algorithm proposed in this paper is proceeded under an unknown informed status about the maximum load and the current load of the processors, which means it has great extensibility. …”
Get full text

A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…COVID-19, one of the most dangerous pandemics, is currently affecting humanity. COVID-19 is spreading rapidly due to its high reliability transmissibility. …”
Get full text

Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms by Jose Herrera‐Camacho, Cem Tırınk, Rosa Inés Parra‐Cortés, Lütfi Bayyurt, Rashit Uskenov, Karlygash Omarova, Aizhan Makhanbetova, Kadyrbai Chekirov, Alfonso Juventino Chay‐Canul

“…However, the obtained results in the current study reveal the potential of machine learning algorithms for live weight estimation in the livestock sector and indicate that advanced research is needed for the optimisation of these algorithms.…”
Get full text

Complex algorithm for identify the parameters of the navigation satellites and satellite navigation using the principle of inter-satellite measurements by S. V. Sokolov, V. V. Kamenskij, S. M. Kovalev, V. D. Meerovich

Get full text

Model-Based Offline Reinforcement Learning for AUV Path-Following Under Unknown Ocean Currents with Limited Data by Xinmao Li, Lingbo Geng, Kaizhou Liu, Yifeng Zhao

“…Minimizing experimental data while maintaining good AUV path-following performance is essential to reduce controller design costs and ensure AUV safety, particularly in complex and dynamic underwater environments with unknown ocean currents. To address this, we propose a conservative offline model-based Q-learning (CMQL) algorithm. …”
Get full text

ResNet18 facial feature extraction algorithm improved based on hybrid domain attention mechanism. by Yingying Mei

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”
Get full text

A device free high-precision indoor positioning and tracking method based on GMM-WKNN algorithm by Mumen Jiang, Jiangnan Yuan

“…Abstract To address the high deployment complexity and algorithmic intricacies associated with current indoor target localization and tracking methods, this paper presents a Wi-Fi CSI indoor localization and tracking algorithm that integrates a Gaussian Mixture Model (GMM) with Weighted K-Nearest Neighbors (WKNN) and Kalman filtering. …”
Get full text

Adaptive chaotic gaussian lens snake optimization algorithm for improved cotton field sensor coverage and utilization by Chenglong Ban, Xiang Liu, Min Tian, Zhonghua Lu, Ruoxue Xiang, Jie Zhou

“…Abstract Soil Temperature Wireless Sensor Networks (STWSNs) are essential for optimizing agricultural practices by providing real-time soil temperature data in cotton fields. However, current heuristic algorithms face limitations in achieving high coverage with minimal sensor nodes. …”
Get full text