A comparative study of statistical and intelligent classification models for predicting airlines passenger management satisfaction by Mohammed Alharithi, Ehab M. Almetwally, Omar Alotaibi, Marwa M. Eid, El-Sayed M. El-kenawy, Alaa A. Elnazer

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Enhancing Infection Control in ICUS Through AI: A Literature Review by Aditya Amit Godbole, Paras, Maanya Mehra, Sumitaksha Banerjee, Poulami Roy, Novonil Deb, Sarang Jagtap

“…The integration of artificial intelligence (AI) offers new opportunities to enhance infection control, from predicting outbreaks to optimizing antimicrobial use, ultimately improving patient safety and care in ICUs. …”
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Microscopic Defect Detection on Aircraft Engine Blades via Improved YOLOv8 by Yujie Jiang, Ping Li, Bing Lin, Yingying Wang, Tian Li, Hui Xue, Weidong Liu, Zaihu Han, Dan Wang, Junlei Tang

“…To fully bring into play the functions of aircraft engine blades, it is indispensable to perform regular inspections of engine blades, which currently rely on inefficient manual visual assessments. While artificial intelligence technology can be utilized, benchmark datasets are not available yet. …”
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Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models by Chi Zhang, Meng Yuan, Xiaoning Ma, Ping Wei, Yuanqi Su, Li Li, Yuehu Liu

“…From the perspective of artificial intelligence evaluation, the need to discover and explain the potential shortness of the evaluated intelligent algorithms/systems as well as the need to evaluate the intelligence level of such testees are of equal importance. …”
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Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities by Giuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, Mario Cesarelli, Fabrizio Esposito, Paolo Gargiulo, Francesco Amato, Leandro Donisi

“…Recently, integrating wearable sensors with artificial intelligence has emerged as a promising approach to effectively monitor and mitigate biomechanical risks. …”
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Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model. by Li Wang, Yu Zhang, Feng Li, Caiyun Li, Hongzeng Xu

“…Seven classical artificial intelligence methods of Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), Adaptive Boosting (ADB), Extra Tree (ET), and Gradient Boosting Decision Tree (GBDT) were selected as candidate models for the base model of the first layer of the model, and extreme gradient enhancement (XGBOOST) was selected as the meta-model for the second layer.…”
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The PDC30 Chatbot—Development of a Psychoeducational Resource on Dementia Caregiving Among Family Caregivers: Mixed Methods Acceptability Study by Sheung-Tak Cheng, Peter H F Ng

“…Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem. …”
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Emerging Strategies in Cartilage Repair and Joint Preservation by Mircea Adrian Focsa, Sorin Florescu, Armand Gogulescu

“…Future research should focus on refining integrated therapeutic protocols, conducting long-term clinical evaluations, and embracing personalised treatment models driven by artificial intelligence and predictive algorithms.…”
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CONCERNING THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES BY THE SECRETARIAT OF THE CONSTITUTIONAL COURT OF UKRAINE IN PERFORMING ITS FUNCTIONS by Darya Barvitska

“…Currently, Ukraine is developing in the era of post-industrial society, where the development of modern technologies, artificial intelligence, the provision of innovative services, etc., play an important role. …”
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Pixel-Level Non-Local Method-Based Depth Image Inpainting by Xiaoya Dai, Yingkun Hou, Shuqi Zhang, Hao Hou, Bin Feng, Tao Lin, Mengyu Liu

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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

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Development of Chatbot-Based Oral Health Care for Young Children and Evaluation of its Effectiveness, Usability, and Acceptability: Mixed Methods Study by Kittiwara Pupong, Jaranya Hunsrisakhun, Samerchit Pithpornchaiyakul, Supawadee Naorungroj

“…MethodsThe chatbot was created using the artificial intelligence (AI) chatbot behavior change model, integrating behavioral change theories into content designed for 3‐5 minutes of daily use over 30 days. …”
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Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach. by Hamidreza Moradi, H Timothy Bunnell, Bradley S Price, Maryam Khodaverdi, Michael T Vest, James Z Porterfield, Alfred J Anzalone, Susan L Santangelo, Wesley Kimble, Jeremy Harper, William B Hillegass, Sally L Hodder, National COVID Cohort Collaborative (N3C) Consortium

“…Then, the most accurate model is utilized by eXplainable Artificial Intelligence (XAI) algorithms to provide insights about the learned treatment combination impacts on the model's final outcome prediction.…”
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Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim

“…Besides, the study employed Explainable Artificial Intelligence (XAI) to enable surveillance engineers to interpret black box models to understand the causes of abnormalities. …”
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Call to Action: Lead Pharmacy into the Next Decade by Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks

“…At the same time, our current environment requires attention to new challenges such as a multigenerational workforce and artificial intelligence. Call to Action Through our work as scholars, we can provide evidence-based, pertinent, timely solutions to address these issues, in ways that make it easily transferable to broad audiences. …”
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Cost-Effective Autonomous Drone Navigation Using Reinforcement Learning: Simulation and Real-World Validation by Tomasz Czarnecki, Marek Stawowy, Adam Kadłubowski

“…Artificial intelligence (AI) is used in tasks that usually require human intelligence. …”
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Predictive Forwarding Rule Caching for Latency Reduction in Dynamic SDN by Doosik Um, Hyung-Seok Park, Hyunho Ryu, Kyung-Joon Park

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Q-learning global path planning for UAV navigation with pondered priorities by Kevin B. de Carvalho, Hiago de O.B. Batista, Leonardo A. Fagundes-Junior, Iure Rosa L. de Oliveira, Alexandre S. Brandão

“…However, recent years have testified to an increasing prevalence of artificial intelligence methodologies such as reinforcement learning. …”
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Exoscope-assisted spine surgery: Current applications and future directions–A short review by Tomas Ferreira, Sakshi Roy, Joecelyn Kirani Tan, Wireko Andrew Awuah, Vallabh Shet, Favour Tope Adebusoye, Adrenito Nicolas, Toufik Abdul-Rahman

“…Addressing these limitations by conducting large-scale clinical trials and exploring the integration of artificial intelligence (AI) could assist in realising the potential of exoscopes in spine surgery.…”
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Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review by Ahmed Mahfuz Tamim, Yebin Lee, Jung Hwan Park, Geon-Tae Hwang, Chang Kyu Jeong

“…The swift evolution of technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data has created an unparalleled need for self-powered sensors and devices. …”
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