作者：
Rajinikanth, V.
Department of Ccomputer Schience and Engineering Center for Research and Innovation Saveetha School of Engineering TN Chennai602105 India
The disease occurrence rate in elderly individual is more due to various causes. The Alzheimer 's disease (AD) in aged individual will causes damage to memory as well as behaviour. The clinical level detection of ...
详细信息
In all position welding, the reasonable setting of welding process parameters at different positions and effective control of smooth transition are one of the difficulties in the automation of pipeline circumferential...
详细信息
Aim at the low efficiency of the traditional incremental conductance method and the insufficient adaptability of the orthogonal vector construction of the single phase locked loop, this paper introduces the incrementa...
详细信息
Non-invasive brain-computer interface technology has become a research hotspot in the field of human-computer interaction with its characteristics of no surgery and safe reliability. This paper introduces the non-inva...
详细信息
In this paper, a new vehicle distance detection technology based on image processing is proposed to solve the traditional ultrasonic vehicle distance detection errors, many blind areas and other problems. The binocula...
详细信息
Skin is our body's most important organ;skin disorders are currently a common and serious problem due to patients' sensitive skin, as well as physical and psychological consequences. Skin disease symptoms migh...
详细信息
To advance the application of artificial intelligence in complex environments, this study focuses on weed recognition in spinach fields and proposes an intelligent recognition method based on an improved YOLOv8 model....
详细信息
ISBN:
(纸本)9798350352634;9798350352627
To advance the application of artificial intelligence in complex environments, this study focuses on weed recognition in spinach fields and proposes an intelligent recognition method based on an improved YOLOv8 model. The process begins with image preprocessing and data augmentation to enhance the dataset. Then, the Large Separable Kernel Attention (LSKA) mechanism is introduced to improve target recognition in complex backgrounds. To simplify the network structure and reduce computational demands, the Deformable Convolutional Network (DCN) is employed. The original loss function is replaced with the Minimum Point Distance IoU loss function to accelerate convergence. Comparing the performance of several popular object detection models, we find experimental results demonstrated that the improved model achieved excellent performance, with accuracy, recall, and average precision reaching 83.4%, 70.2%, and 73.6%, respectively. The model's performance across various configurations confirmed the effectiveness of the proposed improvements in enhancing response speed and handling complex scenes. The comprehensive application of these strategies improved various metrics while maintaining an acceptable increase in model complexity. This study provides a new technical method and theoretical foundation for applying artificial intelligence in real-time, efficient target recognition.
2D human pose estimation (HPE) has been a research focus of computervision, 2D HPE baseline is one of the main *** the field of HPE continues to evolve, vision Transformer Baselines have emerged as a significant area...
详细信息
Ironing is a common household task that requires careful temperature control to prevent damage to different fabric types. Traditional irons rely on manual temperature adjustment, leading to errors and potential fabric...
详细信息
In recent years, the tremendous potential of GAN in image generation has been demonstrated. Transformer derived from the NLP field is also gradually applied in computervision, and vision Transformer performs well in ...
详细信息
暂无评论