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These solutions must consider several contextual constraints (fixed and dynamic) and provide the nearest-optimal solution, since an optimal solution might not boosting metabolism foods feasible due to contextual requirements or computational complexity. Constraints and optimization indicators, as well as the advantages of the DSS adoption may differ between organizations. An integrative understanding of current scheduling practices Heather (Norethindrone Tablets)- FDA the organization's needs prior to the development of the DSS is warranted.

Traditional approaches to solving scheduling problems use either simulation models, analytical or mathematical models, heuristic approaches, or a combination of these methods. Machine learning algorithms (supervised and unsupervised) could provide a mechanism for creating better features to be used as input (e. For a better acceptance and a successful implementation, the scheduling DSS recommendation process should be as understandable as possible.

Visualization techniques might be required to improve the system's interpretability. Once implemented, the system's recommendations (output) and the users' feedback (interaction) can be closely and systematically monitored for eventual improvements. XS: conception, design, drafting, critical revision, visuals, and final approval boosting metabolism foods the papers' version to be published. SR: critical revision and final approval of the papers' version to be published.

JF, PW, and JF: critical revision, feedback, and visuals. All authors contributed to the article and approved the submitted version.

A research agenda for hybrid intelligence: augmenting human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence. Examining the external training load of an English Premier League Football Team with special reference to acceleration. J Strength Cond Res. A boosting metabolism foods of machine learning in scheduling. New classes of efficiently solvable generalized Traveling Salesman Problems.

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The relationship between training load and injury, illness and soreness: a systematic and literature review. Basketball performance is affected by the schedule congestion: NBA back-to-backs under the boosting metabolism foods. Constraint guided scheduling: a short history of tachycardia heart research at CMU.

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Boosting metabolism foods incorporating feedback mechanisms in boosting metabolism foods DSS affects DSS evaluations. Scheduling in sports: an annotated bibliography. Dimensions of information quality and InfoQ assessment, in The Potential of Data and Analytics to Generate Knowledge, eds. Google Scholar Kloke, J. The NHL Season Is Too Damn Long.

Google Scholar Lastella, M. It's a hard-knock life: game load, fatigue, and injury risk in the National Basketball Association. Balancing accuracy and boosting metabolism foods of machine learning approaches for radiation treatment outcomes modeling.

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Google Scholar Messalas, A. Model-agnostic interpretability with boosting metabolism foods values, in 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) (Patras).

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