Two types of vidian neurectomy show efficacy in treating allergic rhinitis and vasomotor rhinitis by ShuJuan Sun, AiPing Chen, Li Shi, YuZhu Wan

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Realization and discussion of selected artificial intelligence algorithms in computer games by Yurii Tyshchenko

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11 Key Strategies in Using AI Chat GPT to Develop HOTS-Based Entrepreneurship Questionnaires by Almaida Vebibina, Rusijono Rusijono, Andi Mariono, Ahsan Muafa, Dydik Kurniawan, Ragil Sugeng Dewantoro, Dian Noer Asyari, Sussi Widiastuti, Jarot Suseno

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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

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Expansion of the alien East Asian river prawn Macrobrachium nipponense (De Haan, 1849) in southwestern Ukraine and assessment of its commercial usage prospects by Sergii Bushuiev, Sergii Snigirov, Mikhail O. Son, Ievhen Sokolov, Genadiy Kharlov, Yuriy Kvach

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Deciphering codon usage patterns and evolutionary forces in chloroplast genes of Camellia sinensis var. assamica and Camellia sinensis var. sinensis in comparison to Camellia pubic... by Sophiarani Yengkhom, Arif Uddin, Supriyo Chakraborty

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Artificial Intelligence (AI) in Education: A Case Study on ChatGPT’s Influence on Student Learning Behaviors by Thuy Nhu Thi Nguyen , Nam Van Lai , Quyet Thi Nguyen

“…This study highlights the need for stringent policies to ensure ethical usage and to promote independent learning. Future research should focus on the long-term impacts of AI tools on educational outcomes and ethical implementation frameworks. …”
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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

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“Scarlet Cloak and the Forest Adventure”: a preliminary study of the impact of AI on commonly used writing tools by Barbara Bordalejo, Davide Pafumi, Frank Onuh, A. K. M. Iftekhar Khalid, Morgan Slayde Pearce, Daniel Paul O’Donnell

“…However, the use of Microsoft Bing Copilot and Writefull on our selected texts were able to eschew AI detection fairly consistently. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…This Artificial Intelligence (AI) powered system promotes a more transparent and efficient MBB experience for all stakeholders in Nigeria's fast evolving digital landscape.…”
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XAI GNSS—A Comprehensive Study on Signal Quality Assessment of GNSS Disruptions Using Explainable AI Technique by Arul Elango, Rene Jr. Landry

“…From the statistical analysis, it has been observed that the usage of the SHapley Additive exPlanations (SHAP) and local interpretable model-agnostic explanations (LIME) models in GNSS signals to test the types of disruption in unknown GNSS signals, using only the best-correlated and most important features in the training phase, provided a better classification accuracy in signal prediction compared to traditional feature selection methods. …”
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An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture by MD Shaifullah Sharafat, Nilavro Das Kabya, Rahimul Islam Emu, Mehrab Uddin Ahmed, Jakaria Chowdhury Onik, Mohammad Aminul Islam, Riasat Khan

“…The findings highlight the potential of AI and IoT in improving crop selection, optimizing resource usage, and supporting sustainable agricultural practices in Bangladesh and beyond. …”
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Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance. by Jaroslaw Kornowicz, Kirsten Thommes

“…The findings underscore the importance of understanding cognitive processes in AI-supported decisions and the need for behavioral experiments in human-AI interactions.…”
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Coordinated Multimodal Transportation Infrastructure Planning in Megacities: An Agent-AI-Discrete Network Design Problem Approach Based on Chat-GPT by Jin Guo, Chenyang Wang, Linxiu Wang

“…Based on the selected transportation mode, the Agent-AI records the associated travel time and path. …”
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NeuroAdaptiveNet: A Reconfigurable FPGA-Based Neural Network System with Dynamic Model Selection by Achraf El Bouazzaoui, Omar Mouhib, Abdelkader Hadjoudja

“…By adaptively selecting the most suitable model configuration, NeuroAdaptiveNet achieves significantly improved classification accuracy and optimized resource usage compared to conventional, statically configured neural networks. …”
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

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‘Nous fêterons’ or ‘On va fêter’? by Valerie Hekkel, Friederike Schulz, Marta Lupica Spagnolo

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Integration of metaheuristic based feature selection with ensemble representation learning models for privacy aware cyberattack detection in IoT environments by M. Karthikeyan, R. Brindha, Maria Manuel Vianny, V. Vaitheeshwaran, Mrinal Bachute, Sanket Mishra, Bibhuti Bhusan Dash

“…This manuscript proposes an Adaptive Metaheuristic-Based Feature Selection with Ensemble Learning Model for Privacy-Preserving Cyberattack Detection (AMFS-ELPPCD) technique. …”
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Using Artificial Intelligence Tools for Providing Feedback as A Strategic Response to Addressing Challenges in Students’ Academic Writing by Innocent Zitha, Ditshego Masete, Sarah Matsetela

“…The Field-Mode-Tenor framework from Register theory was used to categorise language usage mistakes and errors systematically. The integration of AI tools, particularly Meta AI and Grammarly, was found to improve students’ writing skills by providing timely and individualised feedback. …”
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An Examination of the Utilization of Artificial Intelligence Technologies by Advertising Agencies by Görkem Bir, Simge Aksu

“…This article aims to discover the mechanisms behind the adoption and acceptance of AI in advertising industry in Turkey. Semi-structured interviews reflecting technology acceptance literature conducted with agency practitioners to discover the usages and conditions of AI supported applications. …”
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