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Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri...
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Md Monowar Hossain, A. H. M. Faisal Anwar, Nikhil Garg, Mahesh Prakash and Mohammed Abdul Bari
The fidelity of the decadal experiment in Coupled Model Intercomparison Project Phase-5 (CMIP5) has been examined, over different climate variables for multiple temporal and spatial scales, in many previous studies. However, most of the studies were for ...
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Cynthia Andraos
The expected change in rainfall patterns and the increase in evapotranspiration due to climate change leads to earlier droughts, which aggravate water shortages. To ensure the sustainable management of water resources in these conditions, it is necessary...
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Francisca Lanai Ribeiro Torres, Luana Medeiros Marangon Lima, Michelle Simões Reboita, Anderson Rodrigo de Queiroz and José Wanderley Marangon Lima
Streamflow forecasting plays a crucial role in the operational planning of hydro-dominant power systems, providing valuable insights into future water inflows to reservoirs and hydropower plants. It relies on complex mathematical models, which, despite t...
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Yaowei Feng, Zhendong Li, Dong Yang, Hongkai Hu, Hui Guo and Hao Liu
The segmentation of optic disc (OD) and optic cup (OC) are used in the automatic diagnosis of glaucoma. However, the spatially ambiguous boundary and semantically uncertain region-of-interest area in pictures may lead to the degradation of the performanc...
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Qingzhou Lv, Wanzeng Liu, Ran Li, Hui Yang, Yuan Tao and Mengjiao Wang
Earthquake disaster assessment is one of the most critical aspects in reducing earthquake disaster losses. However, traditional seismic intensity assessment methods are not effective in disaster-stricken areas with insufficient observation data. Social m...
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Adel Ben Youssef and Mounir Dahmani
In the context of an increasingly digitized global marketplace, this study seeks to shed light on its adoption in developing countries, focusing on Morocco. Applying logit, probit, and conditional mixed-process probit models to a sample of 807 Moroccan f...
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Xuezhu Lin, Shihan Chao, Dongming Yan, Lili Guo, Yue Liu and Lijuan Li
The proposed multi-sensor data fusion method utilizes the self-attention mechanism in CNN-SA networks to enhance data integrity and accuracy, and it has potential applications in various fields where accurate and reliable multi-sensor data fusion is requ...
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Ali Sharifinejad and Elmira Hassanzadeh
Assessing the impact of climate change on water systems often requires employing a hydrological model to estimate streamflow. However, the choice of hydrological model, process representation, input data resolution, and catchment discretization can poten...
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Ya-Hong Wang, Jun-Jiang Li and Wen-Hao Su
Fusarium has become a major impediment to stable wheat production in many regions worldwide. Infected wheat plants not only experience reduced yield and quality but their spikes generate toxins that pose a significant threat to human and animal health. C...
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Changli Yu, Haodong Yan, Xingming Zhang and Hua Ye
As the energy supply component of hydraulic transmission systems, the plunger pump is widely used in the field of ship and ocean engineering. Thus, its fault diagnosis is of great importance. The multi-model fault diagnosis method based on the Kalman fil...
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Cheng-Lin Wu, Hsun-Ping Hsieh, Jiawei Jiang, Yi-Chieh Yang, Chris Shei and Yu-Wen Chen
To alleviate the impact of fake news on our society, predicting the popularity of fake news posts on social media is a crucial problem worthy of study. However, most related studies on fake news emphasize detection only. In this paper, we focus on the is...
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Hamizah Rhymee, Shahriar Shams, Uditha Ratnayake and Ena Kartina Abdul Rahman
The climate is changing and its impacts on agriculture are a major concern worldwide. The impact of precipitation will influence crop yield and water management. Estimation of such impacts using inputs from the General Circulation Models (GCMs) for futur...
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Duy-Dong Le, Anh-Khoa Tran, Minh-Son Dao, Kieu-Chinh Nguyen-Ly, Hoang-Son Le, Xuan-Dao Nguyen-Thi, Thanh-Qui Pham, Van-Luong Nguyen and Bach-Yen Nguyen-Thi
The air quality index (AQI) forecast in big cities is an exciting study area in smart cities and healthcare on the Internet of Things. In recent years, a large number of empirical, academic, and review papers using machine learning (ML) for air quality a...
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Mihaela Mitici and Ingeborg de Pater
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from cluster...
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Yanbo Chen, Jingsha He, Wei Wei, Nafei Zhu and Cong Yu
Age, gender, educational background, and so on are the most basic attributes for identifying and portraying users. It is also possible to conduct in-depth mining analysis and high-level predictions based on such attributes to learn users? preferences and...
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Victor Olago, Mazvita Muchengeti, Elvira Singh and Wenlong C. Chen
We explored various Machine Learning (ML) models to evaluate how each model performs in the task of classifying histopathology reports. We trained, optimized, and performed classification with Stochastic Gradient Descent (SGD), Support Vector Machine (SV...
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Kenji Taniguchi
Future variations in the ocean wave climate caused by global warming could affect various coastal issues. Using a third-generation wave model, this study produced projections of the ocean wave climate for winter around Japan, focusing on the Japan Sea si...
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Lorenzo Alfieri, Francesco Dottori, Richard Betts, Peter Salamon and Luc Feyen
Knowledge on the costs of natural disasters under climate change is key information for planning adaptation and mitigation strategies of future climate policies. Impact models for large scale flood risk assessment have made leaps forward in the past few ...
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Jean-Marc Biannic and Clément Roos
Recent advances in the resolution of multi-model and multi-objective control problems via non-smooth optimization are exploited to provide a novel methodology in the challenging context of autoland design. Based on the structured H∞" role="pre...
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