Cognition of decision behavior based on belief state: a case study of implementation in CGF simulation system by Jintao Wang, Huaiqi Chen, Lina Wei, Yulong Yin, Yunting Zhang

“…Firstly, decision behavior of Agents in dynamic environments is time continuous, the UCTCD algorithm is incorporate into the planning method; Secondly, some information is unobservable in some scenarios, an environmental state sampling method named SBS-UCTCD is proposed, the most likely estimate of the current battlefield state is obtained by maintaining a single belief state; Finally, the large tree search space in complex battlefield environments makes it difficult to make decisions in limited time, a hybrid decision behavior modeling method HS-UCTCD is proposed by combining HTN planning and SBS-UCTCD, decomposing high-level tasks through HTN planning and searching optimal actions in refined tasks through SBS-UCTCD, thereby enhancing decision efficiency and reducing decision time. …”
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PROCESS MANAGEMENT SYSTEMS IN THE BUSINESS-ORIENTED MODEL OF ENTERPRISE DEVELOPMENT by Valentyna A. Pavlova

“…To ensure business effectiveness, an appropriate algorithm for the implementation of actions and procedures is selected based on the structuring of business processes. …”
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Enhancing Daylight and Energy Efficiency in Hot Climate Regions with a Perforated Shading System Using a Hybrid Approach Considering Different Case Studies by Basma Gaber, Changhong Zhan, Xueying Han, Mohamed Omar, Guanghao Li

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NICE guidance to working with real-world data by A. Sh. Motrinchuk, A. R. Kasimova, E. A. Novoderezhkina

“…This article provides a brief overview of the key aspects of planning, conducting, and reporting NICE clinical practice data collection and analysis studies, as well as general information about the sources of real-world data (RWD) and their use in NICE management decision-making algorithms. …”
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Transformer based models with hierarchical graph representations for enhanced climate forecasting by T. Bhargava Ramu, Raviteja Kocherla, G. N. V. G. Sirisha, V. Lakshmi Chetana, P. Vidya Sagar, R. Balamurali, Nanditha Boddu

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Application of photon-counting CT in cardiovascular diseases by WANG Mengzhen, BAO Shouyu, LIU Peng, YAN Fuhua, YANG Wenjie

“…They can also provide multidimensional anatomical information and functional parameters for preoperative planning and postoperative follow-up of transcatheter aortic valve implantation/replacement （TAVI/TAVR）. …”
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Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study by Junchen Guo, Yunyun Dai, Sishan Jiang, Junqingzhao Liu, Xianghua Xu, Yongyi Chen

“…Abstract Background Developing an accurate predictive model for palliative care phases is crucial for improving cancer patient management, enabling healthcare providers to identify those in need of specific care plans and streamlining decision-making process for patients and caregivers. …”
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Land Use Analysis Using Machine-Learning Based on Cloud Computing Platform by Syukur Toha Prasetyo, Fahmi Arief Rahman, Sinar Suryawati, Slamet Supriyadi, Eko Setiawan

“…Keywords: land use, random forest, geographic information system, remote sensing …”
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How Many Floods Have Occurred in China in the Past Decade? A Perspective From Social Media by D. Shen, H. Gu, W. Chen, C. Zhang, S. Xiao, S. Zhang

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Enhancing Cancer Diagnosis by Ismail Y. Maolood

“…With the aim of improving the effectiveness of cancer diagnosis, this paper introduces a new proposed method, computer-aided diagnosis, utilizing the level-set algorithm based on the edge detection approach for medical image segmentation. …”
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Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments by Zichong Wang, Yingying Zheng

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Social Media Suicide Watch by Katherine Prothro

“…Furthermore, apps may struggle to recognize the nuanced stages of suicide risk, such as contemplation, suicidal intent, the development of a plan, intent to act, and suicidal behaviors. These distinctions are critical in determining the appropriate level of intervention, something that human judgment may handle more effectively than algorithmic detection. …”
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Prototype multi-agent robotic debris removal system: principles of development and experimental studies by S. V. Manko, V. M. Lokhin, S. A. K. Diane

“…The multi-stage task of searching and removing debris in the process of eliminating the consequences of emergency situations is analyzed. A proposed algorithm for planning the actions of robotic agents determines the time sequence of the mission stages. …”
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INCOIS air-sea Flux Reference System onboard ORV Sagar Nidhi: overview and initial results by B. Praveen Kumar, Abhijith Raj, Abhijith Raj, Asish K. Sasidharan, Asish K. Sasidharan, N. Sureshkumar, A. A. Gnanaraj, Deepak Sankar, K. Ramasundaram, Venkata Jampana, E. Pattabhi Rama Rao

“…To address this need, the Indian National Centre for Ocean Information Services (INCOIS) developed and deployed a Flux Reference System (INCOIS-FRS) onboard ORV Sagar Nidhi. …”
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A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers by Qian Xu, Feng Ning Liang, Ya Ru Cao, Jin Duan, Teng Cui, Teng Zhao, Hong Zhu

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Optimization design of liquid crystal-based reconfigurable intelligent surface-assisted indoor visible light communication systems by Lisu YU, Xinxin LÜ, Run ZHONG, Mingli ZHANG, Zhenghai WANG, Yuhao WANG

“…The system performance is evaluated by solving a sum-rate maximization problem that accounts for practical scenarios such as the presence of nonuser-obscured LoS paths between the transmitter and the receiver. A low-complexity algorithm using fractional programming and step-by-step optimization is recommended for managing perfect channel state information. …”
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Prediction of soil chemical properties using multispectral satellite images and wavelet transforms methods by Chaitanya B. Pande, Sunil A. Kadam, Rajesh Jayaraman, Sunil Gorantiwar, Mukund Shinde

“…The results of the study area can be more beneficial for development of agriculture activities, climate change approaches, crop and soil suitability planning. From the results of models have been given a fast and quickly information of soil nutrient parameters without laboratory analysis. …”
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A population spatialization method based on the integration of feature selection and an improved random forest model. by Zhen Zhao, Hongmei Guo, Xueli Jiang, Ying Zhang, Changjiang Lu, Can Zhang, Zonghang He

“…Ascertaining the precise and accurate spatial distribution of population is essential in conducting effective urban planning, resource allocation, and emergency rescue planning. …”
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Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management by T. V. Ramachandra, Paras Negi

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EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments by Asfandyar Khan, Faizan Ullah, Dilawar Shah, Muhammad Haris Khan, Shujaat Ali, Muhammad Tahir

“…We will also assess its applicability by integrating other ML models, which could provide enhanced insights for optimizing scheduling algorithms across diverse fog-cloud settings.…”
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