Zobrazeno 1 - 10
of 827
pro vyhledávání: '"feature alignment"'
Autor:
Xingsi Xue, Osamah Ibrahim Khalaf
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 449-459 (2024)
Ontology matching plays a pivotal role in aligning entities across diverse ontologies, enhancing interoperability and data exchange. Similarity features are the foundation of ontology matching, which assess entity similarities from multiple perspecti
Externí odkaz:
https://doaj.org/article/6a49831a243741ed8f542b8d53b48734
Autor:
Shuangmei Li, Chengning Huang
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200172- (2024)
Convolutional neural networks are widely used for feature extraction in the fields of object detection and image segmentation. However, traditional CNN models often struggle to ensure accuracy in high noise environments. A study proposes an enhanced
Externí odkaz:
https://doaj.org/article/3e9bd92bdb8c48db8c588f91666b2105
Publikováno v:
Heliyon, Vol 10, Iss 22, Pp e40350- (2024)
Many important information in medical research and clinical diagnosis are obtained from medical images. Among them, digital pathology images can provide detailed tissue structure and cellular information, which has become the gold standard for clinic
Externí odkaz:
https://doaj.org/article/7af4692bfaec4b36a5f00d3635da1c78
Publikováno v:
智慧农业, Vol 6, Iss 3, Pp 128-137 (2024)
ObjectiveKale is an important bulk vegetable crop worldwide, its main growth characteristics are outer leaves and leaf bulbs. The traits of leaf bulb kale are crucial for adjusting water and fertilizer parameters in the field to achieve maximum yield
Externí odkaz:
https://doaj.org/article/749fd05fed0a4ea68a8f4484cb21e7b4
Publikováno v:
In Heliyon 30 November 2024 10(22)
Publikováno v:
In Knowledge-Based Systems 25 November 2024 304
Publikováno v:
IEEE Access, Vol 12, Pp 178495-178506 (2024)
To address the issues of high computational complexity and insufficient aggregation of global and local information in existing image segmentation methods, this paper proposes an efficient segmentation model based on Spatial Context Learning, named S
Externí odkaz:
https://doaj.org/article/935feab7933a4dc6ad58840959beb071
Publikováno v:
IEEE Access, Vol 12, Pp 175445-175457 (2024)
As a pivotal computer vision technique, person re-identification (re-ID) assumes a paramount role in bolstering public security. During the process of computing feature similarities among person images, misaligned and occluded body parts may impede a
Externí odkaz:
https://doaj.org/article/06e424fa114c491d90ecf51544287369
Publikováno v:
IEEE Access, Vol 12, Pp 99362-99371 (2024)
Jointing multi-modal image fusion and subsequent high-level tasks is attracting more researches to achieve both mutual promotions. However, owing the feature gap between the two tasks, complicated network structure and training strategies need to be
Externí odkaz:
https://doaj.org/article/2d150b5a48a94711baf28d09b3179e7c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11761-11776 (2024)
Change detection (CD) aims to identify surface changes from bitemporal remote sensing (RS) images, which is a crucial and challenging topic in RS. In recent years, RS images CD has achieved significant advancements through the use of convolutional ne
Externí odkaz:
https://doaj.org/article/1fb072ec85404960920c0a9eccea1a42