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Proactive and Data-Driven Decision-Making Using Earned Value Analysis in Infrastructure Projects
Published 2025-07-01“…Timely and informed decision-making is essential for the successful execution of construction projects, where delays and cost overruns frequently pose significant risks. …”
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Identifying accounting control issues from online employee reviews
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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol
Published 2025-07-01“…The protocol consists of two validation phases: an edge validation phase, where transactions undergo preliminary conflict detection and prioritization based on their temporal constraints, and a cloud validation phase, where a final conflict resolution mechanism ensures transactional correctness on a global scale. …”
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Counterfactual Thinking in Tourette’s Syndrome: A Study Using Three Measures
Published 2014-01-01“…A disorder in counterfactual thinking (CFT), a behavioural executive process linked to the prefrontal cortex functioning, has not been investigated in TS. …”
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Research Progress and Applications of Artificial Intelligence in Agricultural Equipment
Published 2025-08-01“…The key innovations are highlighted in areas such as object detection and recognition (e.g., a K-nearest neighbor (KNN) achieved 98% accuracy in distinguishing vibration signals across operation stages); autonomous navigation and path planning (e.g., a deep reinforcement learning (DRL)-optimized task planner for multi-arm harvesting robots reduced execution time by 10.7%); state perception (e.g., a multilayer perceptron (MLP) yielded 96.9% accuracy in plug seedling health classification); and precision control (e.g., an intelligent multi-module coordinated control system achieved a transplanting efficiency of 5000 plants/h). …”
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Human Error Probability in Responding to Safety Alarms
Published 2025-06-01“…In HEPIRA, a qualitative review of 26 conditions allows to evaluate the performance of the measurement or detection system, the alarm visualization and observation and the effectiveness of event diagnostics, decision-making, as well as the execution of the required corrective action to stop the scenario from developing. …”
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Leveraging federated learning and edge computing for pandemic-resilient healthcare
Published 2025-07-01“…Federated learning (FL) is a popular approach used to enhance AI-driven decision support systems and maintain decentralized learning. …”
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