-
261
Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management
Published 2025-05-01“…For more accurate SOC estimate, the proposed approach employs a Quaternion Generative Adversarial Network (QGAN) model. When hyper parameter tuning, the prototype is invigorated employing the Tyrannosaurus optimization algorithm (TOA) to fine-tune SOC estimate outcomes of the QGAN model. …”
Get full text
Article -
262
-
263
-
264
Modification of the WaldBoost algorithm to improve the efficiency of solving pattern recognition problems in real-time
Published 2019-10-01“…The aim of the study is to improve the known machine learning algorithms for pattern recognition using a minimum amount of time (the minimum number of used classifiers) and with a given accuracy of the results. …”
Get full text
Article -
265
-
266
-
267
Optimized Intelligent Localization Through Mathematical Modeling and Crow Search Algorithms
Published 2025-08-01“…The modified CSA iteratively improves upon this estimate by emulating the natural behavior of crows, updating its variables to converge on the optimal position. …”
Get full text
Article -
268
Modeling and Optimization of Cable Production Scheduling by Incorporating an Ant Colony Algorithm
Published 2025-04-01“…Applying an ant colony (ACO) algorithm to solve the production scheduling problem achieved the intelligent scheduling and optimization of production tasks. …”
Get full text
Article -
269
Optimization of dynamic parameters of straddle monorail vehicle to improve pantograph-catenary contact quality
Published 2022-09-01“…In order to reduce the abrasion on the sliding block, a sensitivity analysis method was used in this paper to analyze the influence degree of vehicle dynamics parameters on the coupling force of pantograph and catenary based on the dynamic simulation analysis model of "vehicle-pantograph-catenary" system. The average value of the pantograph-catenary contact force was considered as the optimization objective, and dynamics parameters of the vehicle were optimized by non-dominated sorting genetic algorithm (NSGA-II). …”
Get full text
Article -
270
Multi-Threshold Remote Sensing Image Segmentation Based on Improved Black-Winged Kite Algorithm
Published 2025-05-01“…The improved intelligent optimization algorithm is innovatively integrated with the OTSU threshold method to establish a multi-threshold segmentation model specifically designed for remote sensing imagery. …”
Get full text
Article -
271
NIRS identification of cashmere and wool fibers based on spare representation and improved AdaBoost algorithm
Published 2025-07-01“…It uses NIR spectroscopy combined with chemometrics. The chemometrics model mainly uses sparse representation and an improved AdaBoost classifier. …”
Get full text
Article -
272
Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe
Published 2025-07-01“…While such developments offer important opportunities to improve sustainability, flexibility, and efficiency, they also present challenges for ensuring healthy and equitable working conditions—especially if workplace policies and practices do not keep pace with these transformations (1). …”
Get full text
Article -
273
A Lightweight Algorithm for Detection and Grading of Olive Ripeness Based on Improved YOLOv11n
Published 2025-04-01“…To address these limitations, this study proposes a lightweight algorithm for detection and grading of olive ripeness based on an Improved YOLOv11n framework. …”
Get full text
Article -
274
Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large
Published 2025-03-01“…In order to address these issues, this paper proposed a food image classification algorithm based on improved MobileNetV3-Large. Firstly, building upon the pre-trained MobileNetV3-Large model, the PReLu activation function and NAM attention mechanism were introduced to enhance the model's focus on key features by capturing non-local dependencies in images. …”
Get full text
Article -
275
Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer
Published 2025-02-01“…While the precision improves, the FPS value also increases by 109, which is superior to the traditional model in terms of precision and real-time processing. …”
Get full text
Article -
276
Predicting excavation-induced lateral displacement using improved particle swarm optimization and extreme learning machine with sparse measurements
Published 2025-08-01“…This study presents a novel prediction method using an extreme learning machine (ELM) optimized by an improved particle swarm optimization (IPSO) algorithm. …”
Get full text
Article -
277
Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A∗ Algorithm
Published 2022-01-01“…In the improved A∗ algorithm, in order to improve the algorithm efficiency, so that a single planning path can pass through multiple target points, the search point selection strategy and evaluation function are optimized. …”
Get full text
Article -
278
Improved RRT-Based Obstacle-Avoidance Path Planning for Dual-Arm Robots in Complex Environments
Published 2025-07-01Get full text
Article -
279
Rock image classification based on improved EfficientNet
Published 2025-05-01“…Second, the shuffle attention mechanism is integrated into the backbone network to enhance feature extraction while reducing model parameters. Finally, the Lion optimizer is employed to optimize the training process, improving both the accuracy and stability of the model. …”
Get full text
Article -
280
Improving with Hybrid Feature Selection in Software Defect Prediction
Published 2024-04-01“…Feature selection is often used by some researchers to overcome these problems, because these methods have an important function in the process of reducing data dimensions and eliminating uncorrelated attributes that can cause noisy. Naive Bayes algorithm is used to support the process of determining the most optimal class. …”
Get full text
Article