-
341
-
342
Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems
Published 2025-07-01“…The optimized VToMe-BiGRU algorithm combines the Transformer model and the BiGRU network, which effectively captures the critical features in the electric drive system data, thus improving the fault prediction performance. …”
Get full text
Article -
343
Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors
Published 2025-06-01“…The empirical insights, drawn from the real-life case study of this research, indicate the challenges and complexities that arise in the path of achieving zero defect product and sustainability improvement. The extended view on effective root causes of product quality and the focus on improving TBL sustainability criteria in this research as well as its analytical approach offer practitioners valuable insights for improving their ZDM approaches in a more comprehensive way. …”
Get full text
Article -
344
DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification
Published 2025-01-01“…DenseNet effectively extracts hierarchical features, while FPA optimizes the selection of the most discriminative features, improving classification accuracy and reducing computational overhead. …”
Get full text
Article -
345
An experimental optimization environment for developing an intracycle pitch control in cross flow turbines
Published 2025-06-01“… Cross-flow tidal turbines have not reached the efficiency of horizontal-axis turbines. Among various improvement approaches found in the literature, the intracycle pitch control is one of the most promising ones. …”
Get full text
Article -
346
Explainable AI and optimized solar power generation forecasting model based on environmental conditions.
Published 2024-01-01“…Additionally, the PSO optimizer was employed instead of the EO optimizer to validate the outcomes, which further demonstrated the efficacy of the EO optimizer. …”
Get full text
Article -
347
A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox
Published 2020-01-01“…Aiming at the problems of poor self-adaptive ability in traditional feature extraction methods and weak generalization ability in single classifier under big data, an internal parameter-optimized Deep Belief Network (DBN) method based on grasshopper optimization algorithm (GOA) is proposed. …”
Get full text
Article -
348
An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing
Published 2025-09-01“…In this paper, a hybrid classifier incorporating Long Short-Term Memory (LSTM), Support Vector Machine (SVM), and Convolutional Neural Network (CNN) is proposed and applied to diagnose congenital heart disease in children. The most distinguishing feature of the proposed hybrid classifier compared to existing ones is its optimal weighting algorithm. …”
Get full text
Article -
349
Dual Strategy of Reconfiguration with Capacitor Placement for Improvement Reliability and Power Quality in Distribution System
Published 2023-01-01“…These scenarios were tested on typical 33 and 69 bus IEEE RDS using the binary salp swarm algorithm (BSSA) based on the multiobjective functions (MOFs), in order to identify the most effective scenario performance that achieved the highest power quality and system reliability. …”
Get full text
Article -
350
An improved bistable stochastic resonance method and its application in early bearing fault diagnosis
Published 2025-07-01“…Additionally, the cuckoo search (CS) algorithm is used to optimize the potential function parameters, enhancing fault diagnosis performance. …”
Get full text
Article -
351
Prediction and dynamic optimization of drilling performance based on the combination of mineral composition and operational factors
Published 2025-06-01“…According to the training and testing results, the introduction of mineral composition can effectively improve the training speed and testing accuracy. Through the established prediction function, a dynamic optimization algorithm combined with DOE (Design of Experiments) theory was also developed. …”
Get full text
Article -
352
-
353
Multi objective optimization and experimental investigation of the stirring performance of a novel micro actuator
Published 2025-05-01“…Subsequently, the Non-dominated Sorting Genetic Algorithm III (NSGA-III) is utilized for Multi-Objective Optimization to identify the optimal combination of structural parameters. …”
Get full text
Article -
354
Spatial–degree of freedom improvement of interference alignment in multi-input, multi-output interference channels
Published 2017-01-01“…As we know, the degree of freedom approximates the capacity of a network. To improve the achievable degree of freedom in the K -user interference network, we propose a rank minimization interference minimization algorithm. …”
Get full text
Article -
355
An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations
Published 2025-07-01“…The proposed methodology leverages the Grey Wolf Optimization (GWO) metaheuristic algorithm, enthused by the grey wolves hunting, to identify the most strategic locations for EVCSs. …”
Get full text
Article -
356
Class-aware multi-source domain adaptation algorithm for medical image analysis using reweighted matrix matching strategy.
Published 2025-01-01“…This algorithm employs a class-aware strategy to strengthen positive transfer effects between similar classes. …”
Get full text
Article -
357
-
358
A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm.
Published 2025-01-01“…Next, k-means clustering is applied with the optimal k-value to initialize the parameters of the Gaussian Mixture Model, which are then refined and trained through the Expectation-Maximization algorithm. …”
Get full text
Article -
359
Research on the optimization model of anti-breast cancer candidate drugs based on machine learning
Published 2025-04-01“…Additionally, a multi-model fusion strategy and Particle Swarm Optimization (PSO) algorithm were employed to optimize both biological activity and ADMET properties, thereby improving the prediction of Caco-2, CYP3A4, hERG, HOB, and MN properties. …”
Get full text
Article -
360