|
|
|
|
|
Huaxiang He, Aiqi Chen, Mingwan Yin, Zhenzhen Ma, Jinjun You, Xinmin Xie, Zhizhang Wang and Qiang An
The rational allocation of water resources in the basin/region can be better assisted and performed using a suitable water resources allocation model. Rule-based and optimization-based simulation methods are utilized to solve medium- and long-term water ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nikolaos Zafeiropoulos, Pavlos Bitilis, George E. Tsekouras and Konstantinos Kotis
In the realm of Parkinson?s Disease (PD) research, the integration of wearable sensor data with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and monitoring. This study delves into the complex domain of PD patient car...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lin Guo, Anand Balu Nellippallil, Warren F. Smith, Janet K. Allen and Farrokh Mistree
When dealing with engineering design problems, designers often encounter nonlinear and nonconvex features, multiple objectives, coupled decision making, and various levels of fidelity of sub-systems. To realize the design with limited computational resou...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdul Malek Yaakob, Shahira Shafie, Alexander Gegov, Siti Fatimah Abdul Rahman and Ku Muhammad Naim Ku Khalif
Large-scale group decision-making (LSGDM) has become common in the new era of technology development involving a large number of experts. Recently, in the use of social network analysis (SNA), the community detection method has been highlighted by resear...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hai Van Pham, Cu Kim Long, Phan Hung Khanh and Ha Quoc Trung
Problems of preeclampsia sign diagnosis are mostly based on symptom data with the characteristics of data collected periodically in uncertain, ambiguous, and obstetrician opinions. To reduce the effects of preeclampsia, many studies have investigated the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyong Zhang, Wei Yue and Wenbin Tang
To enhance the anti-submarine and search capabilities of multiple Unmanned Aerial Vehicle (UAV) groups in complex marine environments, this paper proposes a flexible action-evaluation algorithm known as Knowledge-Driven Soft Actor-Critic (KD-SAC), which ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyuan Wang, Gang Wang, Quanzheng Wang, Junyan Han, Longfei Chen, Bin Wang and Huili Shi
As one of the key technologies restricting the development of intelligent ships, autonomous collision avoidance has attracted the attention of many scholars all over the world. Existing research on collision-avoidance behavior focuses more on collision r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pengwei Hu, Ying Cui, Chenyu Zhao, Yanan Li and Boyang Li
Due to the interference between the main hull and the outrigger of the pentamaran, resistance is greatly affected. Therefore, research on the pentamaran front outrigger inclination angle has further practical significance for reducing resistance. In this...
ver más
|
|
|
|
|
|
|
|
|
|
|
Florian Thiery, Jonas Veller, Laura Raddatz, Louise Rokohl, Frank Boochs and Allard W. Mees
In this paper, we introduce applications of Artificial Intelligence techniques, such as Decision Trees and Semantic Reasoning, for semi-automatic and semantic-model-based decision-making for archaeological feature comparisons. This paper uses the example...
ver más
|
|
|
|
|
|