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

“…Experimental results demonstrate that our RL-CC protocol achieves a 90% reduction in transaction abort rates (5% vs. 45% for 2PL), 3x higher throughput (300 TPS vs. 100 TPS), and 70% lower latency compared to traditional concurrency control methods. The proposed RL-CC protocol significantly reduces transaction abort rates, enhances concurrency management, and improves the efficiency of sensor data processing by ensuring that transactions are executed within their temporal validity window. …”
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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

“…In particular, the integration of the YoloV4 and SENET attention layer as part of a FL framework delivers dependable performance while addressing facemask detection (94.6%), incorrect facemask detection (98%), facemask classification (95.4%), social distance (96.1%), contact tracing (95.2%) and cyber attack detection (94.2%) while performing tasks like correct and incorrect, proper and improper facemask wearing, monitoring social distancing norms observance, and contact tracing.…”
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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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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

“…Pathophysiological evidence suggests an involvement of frontostriatal circuits in Tourette syndrome (TS) and cognitive abnormalities have been detected in tasks sensitive to cognitive deficits associated with prefrontal damage (verbal fluency, planning, attention shifting, working memory, cognitive flexibility, and social reasoning). …”
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