Proactive and Data-Driven Decision-Making Using Earned Value Analysis in Infrastructure Projects by Bayram Ateş, Mohammad Azim Eirgash

“…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 by Lukui Huang, Alan Abrahams, Juthamon Sithipolvanichgul, Richard Gruss, Peter Ractham

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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

“…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 by Stefano Zago, Adriana Delli Ponti, Silvia Mastroianni, Federica Solca, Emanuele Tomasini, Barbara Poletti, Silvia Inglese, Giuseppe Sartori, Mauro Porta

“…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 by Yong Zhu, Shida Zhang, Shengnan Tang, Qiang Gao

“…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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Leveraging federated learning and edge computing for pandemic-resilient healthcare by Atlanta Choudhury, Kandarpa Kumar Sarma, Vyacheslav Gulvanskii, Dmitrii Kaplun, Lachit Dutta

“…Federated learning (FL) is a popular approach used to enhance AI-driven decision support systems and maintain decentralized learning. …”
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Medical Data over Sound—CardiaWhisper Concept by Radovan Stojanović, Jovan Đurković, Mihailo Vukmirović, Blagoje Babić, Vesna Miranović, Andrej Škraba

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