Integrated Decision and Motion Planning for Highways with Multiple Objects Using a Naturalistic Driving Study by Feng Gao, Xu Zheng, Qiuxia Hu, Hongwei Liu

“…In this study, an integrated decision and motion planning system is designed for multi-object highways. …”
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Essence of the monitoring system for managing project life cycle at an instrument-making holding by P. A. Zhurina, O. V. Tyagunova

“…The relevance of the material is the activity of a real specialist directly inside the dynamic structure of the holding, who knows all the old management methods and models new and redundant management methods, updating them in accordance with external and internal challenges. …”
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Evaluating Visual Satisfaction in Urban Sculpture Spaces: A Multi-Criteria Decision Making Approach by Dianwei Zou, Liping Pan

“…The real-life problems are illustrated in the twelve case studies, which prove the cogency and versatility of the D-IVFFS-COPRAS method as a certain, useful solution to various decision-making issues.…”
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Predictive Logistic Models for Off-Street Parking Policy by Nahla H. Alaswadko

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Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

“…These innovations increase milk yield and contribute to developing dairy products with higher nutritional value. Decision Support Systems play a complementary role by offering real-time decision-making capabilities, enabling farmers to make data-informed adjustments composition based on changing conditions. …”
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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

“…AI-powered automated reporting improves efficiency and minimizes errors, while AI-based decision support systems deliver real-time insights and detect complex patterns, resulting in more effective strategic decisions. …”
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Complex Diophantine interval-valued Pythagorean normal set for decision-making processes by Murugan Palanikumar, Nasreen Kausar, Ponnaiah Tharaniya, Željko Stević, Fikadu Tesgera Tolasa

“…Abstract A novel method for solving the multiple-attribute decision-making problem is proposed using the complex Diophantine interval-valued Pythagorean normal set (CDIVPNS). …”
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Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning by Yi Qin, Junyan Chen, Lei Jin, Rui Yao, Zidan Gong

“…Finally, according to the stored priority information, DCEDRL utilizes the priority weight to resample the samples, adjust the sampling strategy in real time, and improve the adaptability and robustness of the system. …”
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Information support for decision making in problem situation description by S. F. Lipnitsky

“…The problem of automating the user information support in decision making system at the stage of describing the problem situation is solved. …”
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Knowledge Distillation-Enhanced Behavior Transformer for Decision-Making of Autonomous Driving by Rui Zhao, Yuze Fan, Yun Li, Dong Zhang, Fei Gao, Zhenhai Gao, Zhengcai Yang

“…In the CARLA NoCrash benchmark tests, KD-BeT outperforms other state-of-the-art methods in terms of traffic efficiency and driving safety, offering a novel solution for addressing real-world autonomous driving tasks.…”
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MythicVision: a deep learning powered mobile application for understanding Indian mythological deities using weight centric decision approach by Tauseef Khan, Aditya Nitin Patil, Aviral Singh, Gitesh Prashant Bhavsar, Kanakagiri Sujay Ashrith, Sachi Nandan Mohanty

“…The designed MythicVision aims to recognize and classify real-time Indian deity images along with providing valuable information to the users about the deity. …”
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The crane radar: Development and deployment of an operational eco-digital twin by K. De Koning

“…A real quantitative evaluation of the contribution of the crane radar to operational decision making is, however, still missing.…”
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Intelligent Sensor Software for Robust and Energy-Sustainable Decision-Making in Welding of Steel Reinforcement for Concrete by Javier Ferreiro-Cabello, Francisco Javier Martinez-de-Pison, Esteban Fraile-Garcia, Alpha Pernia-Espinoza, Jose Divasón

“…The proposed methodology advances decision-making in welding processes by combining robust predictive modeling with innovative visualization techniques, offering a versatile solution for multiobjective optimization in real-world industrial applications.…”
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Research Status of Home-Based Rehabilitation in Chronic Diseases and Construction of Intelligent Rehabilitation Treatment Platform by WANG Jinghua, YU Shaohong, LI Li

“…In China, the mortality rate caused by chronic diseases accounts for about 86% of the mortality rate of all related diseases, so as that the prevention and treatment situation is in a difficult situation. How to achieve real-time health monitoring and establish convenient and fast medical access to improve the quality of life in patients with chronic disease who live at home for a long time and have difficulty moving is the focus of chronic disease rehabilitation. …”
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Are the economic valuations of marine and coastal ecosystem services supporting policymakers? A systematic review and remaining gaps and challenges by Andrea Mattia Pacifico, Luca Mulazzani, Giulio Malorgio

“…Overall, the review underscores the need for a paradigm shift to better inform real-world policy decisions, identifying the Marine Spatial Planning (MSP) process as a key framework for bridging these gaps in future research and policy implementation.…”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

“…In this interdisciplinary study, two main contributions are proposed for the automated clinical decision-making state-of-the-art: (1) using the real-life data collected from thousands of ICU patients by healthcare professionals, three possibilities (recovery, mortality, and returning to the intensive care unit within 30 days) are predicted for patients in intensive care instead of just one possibility. (2) A novel feature extraction approach is proposed by the biomedical expert in our team. …”
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Evaluating Physical Education Quality in Higher Education Using a Picture Fuzzy Decision Framework With Muirhead Mean Operator and MULTIMOORA Method by Rui Xue

“…This study introduces an innovative decision-making model by integrating the Multi-Objective Optimization by Ratio Analysis plus Full Multiplicative Form (MULTIMOORA) method and the Muirhead Mean (MM) operator. …”
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A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings by Saeed Muhammad, Basit Ali Muhammed, Rahman Atiqe Ur, Yasir Hayat Malik Muhammad

“…Considering evaluating suppliers for a real estate construction project as a multi-attribute decision-making issue, an algorithm that utilizes the matrix manipulations of proposed set-theoretic operations is presented. …”
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Identification of quality problems staff vocational training by Vera V. Zhivaeva, Vadim A. Nikovaev, Svetlana N. Parfenova, Elena P. Tuponosova

“…The lack of commensurability of the real increase in efficiency with the target settings should be considered, first of all, as a problem of software quality. …”
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery by Kai Chen, Xiao Zhai, Ziqiang Chen, Haojue Wang, Mingyuan Yang, Changwei Yang, Yushu Bai, Ming Li

“…Our study aims to devise proper deep learning (DL) models that incorporate key factors influencing surgical outcomes on the coronal plane in AIS patients to facilitate surgical decision-making and predict surgical results for AIS patients. …”
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