|
|
|
|
|
Marmar Mabrouk, Andreja Jonoski, Gualbert H. P. Oude Essink and Stefan Uhlenbrook
The Nile Delta Aquifer (NDA) is threatened by salt water intrusion (SWI). This article demonstrates an approach for identifying critical salinity concentration zones using a three-dimensional (3D) variable-density groundwater flow model in the NDA. An in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Viktoriya Tsyganskaya, Sandro Martinis and Philip Marzahn
Synthetic Aperture Radar (SAR) is particularly suitable for large-scale mapping of inundations, as this tool allows data acquisition regardless of illumination and weather conditions. Precise information about the flood extent is an essential foundation ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Deska Lismawenning Puspitarum, Gita Safitri, Harlina Ardiyanti, Mohamad Samsul Anrokhi
Pág. 192 - 196
Characteristics and Mineral Content of Lampung Tengah Ironsands. This study is carried out to investigate the characteristics and mineral content of ironsands from Bekri, Lampung Tengah Regency by using precipitation method. The research was conducted in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yaxin Wang, Qi Liu, Jie Yang, Guihong Ren, Wenqi Wang, Wuping Zhang and Fuzhong Li
To address the current problem of the difficulty of extracting the phenotypic parameters of tomato plants in a non-destructive and accurate way, we proposed a method of stem and leaf segmentation and phenotypic extraction of tomato plants based on skelet...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingqi Kong and Shengquau Liu
With the development of the Internet, vast amounts of text information are being generated constantly. Methods for extracting the valuable parts from this information have become an important research field. Relation extraction aims to identify entities ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents...
ver más
|
|
|
|
|
|
|
|
|
|
|
José Arturo Olguín-Rojas, Lucio Abel Vázquez-León, Miguel Palma, María Teresa Fernández-Ponce, Lourdes Casas, Gerardo Fernández Barbero and Guadalupe del Carmen Rodríguez-Jimenes
Inadequately managed agricultural waste significantly impacts the environment, health, and economy. This pollution stems from the underutilization, inadequate awareness, and insufficient treatment of agricultural waste. Fruit and vegetable wastes are val...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weijun Li, Jintong Liu, Yuxiao Gao, Xinyong Zhang and Jianlai Gu
The task of named entity recognition (NER) is to identify entities in the text and predict their categories. In real-life scenarios, the context of the text is often complex, and there may exist nested entities within an entity. This kind of entity is ca...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdelghani Azri, Adil Haddi and Hakim Allali
Collaborative filtering (CF), a fundamental technique in personalized Recommender Systems, operates by leveraging user?item preference interactions. Matrix factorization remains one of the most prevalent CF-based methods. However, recent advancements in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md Saiful Islam and Fei Liu
In the realm of artificial intelligence, knowledge graphs have become an effective area of research. Relationships between entities are depicted through a structural framework in knowledge graphs. In this paper, we propose to build a domain-specific medi...
ver más
|
|
|
|
|
|