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1261
Designing a work program for the discipline based on the elements of competencies
Published 2018-06-01“…According to the authors, the use of the elements of competences allocated from the texts of standards, scientific and methodological developments and other sources of the subject field of activity of the university graduate, allows to determine the set and content of knowledge, skills and knowledge necessary for training in the field of preparation more fully, rationally distribute them among educational disciplines and practices, to form the main didactic units of the work program of the academic discipline, to ensure the traceability of the requirements to the results of mastering the disciplines to a specific source of requirements.In the process of research, a methodology for the collection, processing and systematization of information necessary for the preparation of documents for the organization of the educational process at the department of the university was developed and approved; the analysis of professional and branch standards of software engineering is carried out; an array of elements of competencies required by the graduate training directions 09.03.04 is formed; software tools for processing and structuring information, managing changes in the elements of competences, taking into account the interrelations between them are proposed.The article describes the structure of the data array of competencies required by the graduate of the bachelor’s degree in the direction of training 09.03.04 “Software Engineering”; the results of the analysis of the main types of competence sources are presented: the educational standard in the specified direction of bachelor’s degree, professional standards and branch standards of software engineering, ontological and architectural models of entities of the subject domain; an algorithm for the collection, processing and systematization of information necessary for the formation of competency elements; examples of forming various types elements of competences are given.The study has showed that the competence approach, expanded in the proposed methodology, to the formation of working programs of educational disciplines and practices of the basic professional educational program of higher education allows to ensure the completeness, relevance and consistency of the requirements for the preparation of students, the rational distribution of the subject matter of the teaching material between disciplines and their mutual coherence in the educational process.…”
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1262
Collaborative offloading computing scheme based on energy harvesting technology
Published 2024-06-01“…To solve this problem, a task offloading framework that combined energy harvesting and device-to-device (D2D) communication technology was proposed, using a deep reinforcement learning (DRL)-based edge collaborative offloading computing scheme to make autonomous decisions and solve resource allocation problems using simulated annealing algorithms to minimize the total cost of system operation. …”
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1263
Collaborative offloading computing scheme based on energy harvesting technology
Published 2024-06-01“…To solve this problem, a task offloading framework that combined energy harvesting and device-to-device (D2D) communication technology was proposed, using a deep reinforcement learning (DRL)-based edge collaborative offloading computing scheme to make autonomous decisions and solve resource allocation problems using simulated annealing algorithms to minimize the total cost of system operation. …”
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1264
Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction
Published 2025-04-01“…An accurate traffic flow forecast can help manage traffic, plan travel paths in advance, and rationally allocate public resources such as shared bicycles. …”
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1265
388 Subtyping social determinants of health in cancer: Implications for health equity policies
Published 2025-04-01“…Results/Anticipated Results: As shown in Fig. 1A (http://www.skbhavnani.com/DIVA/Images/Cancer-SDoH.jpg), the analysis (n = 3361, d = 18) identified 4 biclusters with significant biclusteredness (Q = 0.13, random-Q = 0.11, z = 9.94, P Discussion/Significance of Impact: Currently, many health equity policies allocate resources based on sociodemographic factors like race and income to address disparities. …”
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1266
Modeling of information-analytical support for the timber industry complex
Published 2024-01-01“…A model of the behaviour of a multi-purpose information system is developed and mathematically justified, and its reachability is checked. The resource allocation problem is also formulated and the solution of the problem is mathematically justified. …”
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1267
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1268
Predicting iron contents in the Tamra-Douahria mining site using a deep neural network approach
Published 2024-12-01“…Thus, understanding the underlying reasons for this heterogeneity is crucial to optimize the extraction processes, ensuring consistent product quality, and maximizing resource utilization. This was the motivation beyond the attempt allocated to shed light on the behaviour of iron and other related ores in this mining district. …”
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1269
563 Optimize efficiency in clinical trial development by assessing and forecasting operationally associated risks utilizing REDCap
Published 2025-04-01“…Discussion/Significance of Impact: The RPM tool provides an opportunity to allocate resources to studies with the greatest potential for successful activation. …”
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1270
Predicting clinical outcomes at hospital admission of patients with COVID-19 pneumonia using artificial intelligence: a secondary analysis of a randomized clinical trial
Published 2025-05-01“…BackgroundPredicting clinical improvement after hospital admission in patients with COVID-19 is crucial for effective resource allocation. Machine-learning tools can help identify patients likely to show clinical improvement based on real-world data. …”
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1271
Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review
Published 2025-05-01“…Consequently, healthcare systems stand to gain notable advantages, such as enhanced accessibility, treatment efficacy, and optimized resource allocation, owing to the seamless integration of AI. …”
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1272
Active Inference-Driven Multi-Armed Bandits: Superior Performance through Dynamic Correlation Adjustments
Published 2025-01-01“…In recent years, Multi-Armed Bandit (MAB) algorithms have gained substantial attention due to their effectiveness in real-world applications, such as recommendation systems, autonomous systems, and dynamic resource allocation. …”
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1273
The Shapley Value in Data Science: Advances in Computation, Extensions, and Applications
Published 2025-05-01“…The Shapley value is a fundamental concept in data science, providing a principled framework for fair resource allocation, feature importance quantification, and improved interpretability of complex models. …”
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1274
Intelligent Beam-Hopping-Based Grant-Free Random Access in Secure IoT-Oriented Satellite Networks
Published 2025-01-01“…This technique utilizes orthogonal resource allocation algorithms to facilitate efficient resource sharing, effectively tackling the irregular and dynamic traffic. …”
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1275
Heterogeneous Graph Attention Networks for Scheduling in Cloud Manufacturing and Logistics
Published 2024-01-01“…Efficient task scheduling and resource allocation in manufacturing are vital for gaining competitive advantages in dynamic economic environments. …”
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1276
Improving the Solving of Optimization Problems: A Comprehensive Review of Quantum Approaches
Published 2025-01-01“…Optimization is a crucial challenge across various domains, including finance, resource allocation, and mobility. Quantum computing has the potential to redefine the way we handle complex problems by reducing computational complexity and enhancing solution quality. …”
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1277
A Comparative Study of XBORE and XBOREOPT Hybrid Models for Ore Production Forecasting in the Mining Industry
Published 2025-01-01“…The study explores the efficacy of hyperparameter optimization techniques in enhancing predictive accuracy, robustness, and computational efficiency, which are crucial for optimizing resource allocation and operational planning in mining contexts. …”
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1278
The role of artificial intelligence in automating decision–making processes in project management
Published 2025-03-01“…It is concluded that the introduction of AI into project management should be based on a systematic approach, represented by training team members, adapting existing processes, and ensuring the transparency of algorithms. The author’s scientific contribution consists in the systematization of approaches to the use of AI in the field under study, in the proposal of a conceptual «framework» regarding the allocation of tasks and control of the stages within the framework of project management (using artificial intelligence). …”
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1279
Process Optimization for Complex Product Assembly Workshops with AGV Integration via Discrete Event Simulation
Published 2025-07-01“…For complex assembly workshops, optimizing AGV scheduling is critical to enhancing production efficiency and resource utilization. Traditional scheduling methods often rely on fixed priority rules and basic path planning algorithms, which are insufficient to accommodate the dynamic changes in resource availability and task demands. …”
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1280
Modeling LTE-advanced cell capacity estimation using packet bundling and carrier aggregation
Published 2025-05-01“…The model proposed in this article explicitly uses some long term evolution (LTE)-Advanced (LTE-A)-specific enhancements such as carrier aggregation (CA) and channel quality indication (CQI)-based resource allocation. Further, this study proposes a CQI-based clustering approach with packet bundling and CA to optimize radio resource utilization and enhance LTE-A cell capacity. …”
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