|
|
|
|
|
Kamran Kowsari, Rasoul Sali , Lubaina Ehsan, William Adorno , Asad Ali, Sean Moore, Beatrice Amadi, Paul Kelly, Sana Syed and Donald Brown
Image classification is central to the big data revolution in medicine. Improved information processing methods for diagnosis and classification of digital medical images have shown to be successful via deep learning approaches. As this field is explored...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dugan Um, Prasad Nethala and Hocheol Shin
In this paper, a hierarchical reinforcement learning (HRL) architecture, namely a ?Hierarchical Deep Deterministic Policy Gradient (HDDPG)? has been proposed and studied. A HDDPG utilizes manager and worker formation similar to other HRL structures. Howe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhuolin Tao and Wenchao Han
The hierarchical healthcare system is widely considered to be a desirable mode of the delivery of healthcare services. It is expected that the establishment of a hierarchical healthcare system can help provide better and more equal healthcare accessibili...
ver más
|
|
|
|
|
|
|
|
|
|
|
?aneta Kavaliauskiene
Pág. 512 - 520
|
|
|
|
|
|
|
|
|
|
|
Lowri Williams, Eirini Anthi and Pete Burnap
The performance of emotive text classification using affective hierarchical schemes (e.g., WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the performance of when a finite set of isolated classes are used. However,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Florin Leon, Marius Gavrilescu, Sabina-Adriana Floria and Alina Adriana Minea
This paper proposes a classification methodology aimed at identifying correlations between job ad requirements and transversal skill sets, with a focus on predicting the necessary skills for individual job descriptions using a deep learning model. The ap...
ver más
|
|
|
|
|
|
|
|
|
|
|
Philipp Spelten, Morten-Christian Meyer, Anna Wagner, Klaus Wolf and Dirk Reith
Integrating physical simulation data into data ecosystems challenges the compatibility and interoperability of data management tools. Semantic web technologies and relational databases mostly use other data types, such as measurement or manufacturing des...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianao Qin, Ruixin Chen, Rufu Qin and Yang Yu
Time series prediction is an effective tool for marine scientific research. The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and prediction capabilities. G...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongqi Liu, Guibing Hou, Baohua Wang, Yang Xu, Rui Tian, Tao Wang and Hui Qin
Flood control operation of cascade reservoirs is an important technology to reduce flood disasters and increase economic benefits. Flood forecast information can help reservoir managers make better use of flood resources and reduce flood risks. In this p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jing Liu and Yong Zhong
As a structural indicator of dense subgraphs, k-core has been widely used in community search due to its concise and efficient calculation. Many community search algorithms have been expanded on the basis of k-core. However, relevant algorithms often set...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuchen Zhou, Mu Liu, Guanhong Xie and Chunqing Liu
Traditional villages, rich in historical and cultural value, hold a high level of preservation value. In the process of urbanization, traditional villages face the crisis of decline, making it difficult to perpetuate the carried cultural heritage. The Ga...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vinh Pham, Maxim Tyan, Tuan Anh Nguyen and Jae-Woo Lee
Multi-fidelity surrogate modeling (MFSM) methods are gaining recognition for their effectiveness in addressing simulation-based design challenges. Prior approaches have typically relied on recursive techniques, combining a limited number of high-fidelity...
ver más
|
|
|
|
|
|
|
|
|
|
|
Francesco Caridi, Antonio Francesco Mottese, Giuseppe Paladini, Santina Marguccio, Maurizio D?Agostino, Alberto Belvedere, Domenico Majolino and Valentina Venuti
In this article, an investigation into the natural radioactivity content in natural inorganic pigments was carried out, together with the assessment of the radiological health risk for the public related to external exposure to ionizing radiations, via H...
ver más
|
|
|
|
|
|
|
|
|
|
|
Barbara Cardone, Valeria D?Ambrosio, Ferdinando Di Martino and Vittorio Miraglia
One of the issues of greatest interest in urban planning today concerns the evaluation of the most vulnerable urban areas in the presence of different types of climate hazards. In this research, a hierarchical fuzzy MCDA model is implemented on a GIS-bas...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiewen Huang and Ying Yang
Inlight of the extensive utilization of automated machining centers, the operation and maintenance level and efficiency of machining centers require further enhancement. In our work, an anomaly detection model is proposed to detect the operation executio...
ver más
|
|
|
|
|
|
|
|
|
|
|
An?e Mihelic, Toma? Hovelja and Simon Vrhovec
Different activities, artifacts, and roles can be found in the literature on the agile engineering of secure software (AESS). The purpose of this paper is to consolidate them and thus identify key activities, artifacts, and roles that can be employed in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chao-Ming Wang and Shih-Mo Tseng
As an ancient performing art, the puppet show was popular entertainment for early civilians. However, with the advance of media technology, traditional puppetry declined gradually, and old puppets became relics displayed in museums. In this study, an int...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenbo Zhang, Yuchen Zhao, Fangjing Li and Hongbo Zhu
Federated learning is currently a popular distributed machine learning solution that often experiences cumbersome communication processes and challenging model convergence in practical edge deployments due to the training nature of its model information ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongshang Wei, Tianxi Liu, Cheng Wei, Ruixiong Zhang and Haiyu Gu
In this study, differential game theory was applied to propose two guidance laws of a pursuer in an orbit pursuit?evasion?defense game. One was a conservative guidance law of maneuvering to absolute safety before pursuing the evader, and the other was a ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rong Zhou, Zhisheng Zhang and Yuan Wang
Deep reinforcement learning is one of the research hotspots in artificial intelligence and has been successfully applied in many research areas; however, the low training efficiency and high demand for samples are problems that limit the application. Ins...
ver más
|
|
|
|
|
|