|
|
|
|
|
Mark Burgin
Knowledge and data representations are important for artificial intelligence (AI), as well as for intelligence in general. Intelligent functioning presupposes efficient operation with knowledge and data representations in particular. At the same time, it...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yihu Zhou, Haiming Chen and Zhibin Dou
In satellite networks, existing congestion resolution methods do not consider the predictability and stability of paths, leading to frequent path switches and high maintenance costs. In this regard, we propose a novel congestion resolution approach, name...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohamed Amine Ferrag, Leandros Maglaras, Ahmed Ahmim, Makhlouf Derdour and Helge Janicke
This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-Things (IoT) networks. The RDTIDS combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP Tree, JRip algor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bojana Novicevic Cecevic,Ljilja Antic
Pág. 273 - 286
Lean business concept is characterized by providing value required by customers, prompt delivery of products, eliminating all forms of waste from production process as well as from all business processes in the company, etc. In order to achieve and maint...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexander Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov and Vyacheslav Ilyin
The paper presents the full-size Russian corpus of Internet users? reviews on medicines with complex named entity recognition (NER) labeling of pharmaceutically relevant entities. We evaluate the accuracy levels reached on this corpus by a set of advance...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhuoming Xu, Hanlin Liu, Jian Li, Qianqian Zhang and Yan Tang
Knowledge graph-based recommendation methods are a hot research topic in the field of recommender systems in recent years. As a mainstream knowledge graph-based recommendation method, the propagation-based recommendation method captures users? potential ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md. Murad Hossain, Md. Asadullah, Abidur Rahaman, Md. Sipon Miah, M. Zahid Hasan, Tonmay Paul and Mohammad Amzad Hossain
The COVID-19 outbreak resulted in preventative measures and restrictions for Bangladesh during the summer of 2020?these unstable and stressful times led to multiple social problems (e.g., domestic violence and divorce). Globally, researchers, policymaker...
ver más
|
|
|
|
|
|
|
|
|
|
|
Feiyang Chen, Ying Jiang, Xiangrui Zeng, Jing Zhang, Xin Gao and Min Xu
Salient segmentation is a critical step in biomedical image analysis, aiming to cut out regions that are most interesting to humans. Recently, supervised methods have achieved promising results in biomedical areas, but they depend on annotated training d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kun Zhang, Shiquan Qiao, Xiaohong Wang, Yongtao Yang and Yongqiang Zhang
With the development of 3D scanning technology, a huge volume of point cloud data has been collected at a lower cost. The huge data set is the main burden during the data processing of point clouds, so point cloud simplification is critical. The main aim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andreas Wibowo
Pág. pp. 1 - 8
Program Evaluation Review Technique %28PERT%29 is a scheduling method that consider the uncertainty of the duration of an activity. It assumes a probability density function with a beta distribution. PERT simplifies the analysis using specific values of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yue Zha, Yuanzhi Ke, Xiao Hu and Caiquan Xiong
Named entity recognition (NER) is particularly challenging for medical texts due to the high domain specificity, abundance of technical terms, and sparsity of data in this field. In this work, we propose a novel attention layer, called the ?ontology atte...
ver más
|
|
|
|
|
|
|
|
|
|
|
Balavignesh Vemparala, Wadi H. Imseeh, Salil Pai, Anand Nagarajan, Timothy Truster and Soheil Soghrati
A new algorithm named PolyCISAMR is introduced to automatically generate high-fidelity conforming finite element (FE) meshes for two-dimensional polycrystalline microstructures. PolyCISAMR extends the capabilities of the Conforming to Interface Structure...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bowen Liu and Malwane M. A. Ananda
It is observed that, for some of the data in engineering and medical fields, the hazard rates increase to a high peak at the beginning and quickly decrease to a low level. In the context of survival analysis, such a hazard rate is called a upside-down ba...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fernando Tamarit, Emilio García, Eduardo Quiles and Antonio Correcher
This initial publication is part of a series of publications that will appear soon, which pursue a final objective for the proposal of a fully integrated and controlled hybrid system composed of a floating wind turbine?type ?OC3-Hywind??and two marine cu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Georgy I. Shapiro and Jose M. Gonzalez-Ondina
A simple and computationally efficient method is presented for creating a high-resolution regional (child) model nested within a coarse-resolution, good-quality data-assimilating (parent) model. The method, named Nesting with Downscaling and Data Assimil...
ver más
|
|
|
|
|
|
|
|
|
|
|
Michele Soavi, Nicola Zeni, John Mylopoulos and Luisa Mich
The aim of the research is to semi-automate the process of generating formal specifications from legal contracts in natural language text form. Towards this end, the paper presents a tool, named ContrattoA, that semi-automatically conducts semantic annot...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunxian Wang, Xiaoxing Wang, Yiwen Wang, Shengchao Hu, Hongyang Chen, Xuehai Gu, Junchi Yan and Tao He
Neural architecture search (NAS) is a popular branch of automatic machine learning (AutoML), which aims to search for efficient network structures. Many prior works have explored a wide range of search algorithms for classification tasks, and have achiev...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liufeng Tao, Zhong Xie, Dexin Xu, Kai Ma, Qinjun Qiu, Shengyong Pan and Bo Huang
Toponym recognition, or the challenge of detecting place names that have a similar referent, is involved in a number of activities connected to geographical information retrieval and geographical information sciences. This research focuses on recognizing...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ali Al-Laith, Muhammad Shahbaz, Hind F. Alaskar and Asim Rehmat
At a time when research in the field of sentiment analysis tends to study advanced topics in languages, such as English, other languages such as Arabic still suffer from basic problems and challenges, most notably the availability of large corpora. Furth...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huan Niu, Nasim Khozouie, Hamid Parvin, Hamid Alinejad-Rokny, Amin Beheshti and Mohammad Reza Mahmoudi
Clustering ensemble indicates to an approach in which a number of (usually weak) base clusterings are performed and their consensus clustering is used as the final clustering. Knowing democratic decisions are better than dictatorial decisions, it seems c...
ver más
|
|
|
|
|
|