An Aeroelastic Solution Method Using an Implicit Dynamic Approach by Weiji Wang, Wei Qian, Zheng Chen, Xinyu Ai

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Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways by Runyang Gao, Danghui Yu, Biao Gao, Heng Hua, Zhaoyang Hui, Jingquan Gao, Cha Yin

“…Regarding academic integrity, new risks, such as “credibility illusion” and “implicit plagiarism,” have become prominent in AI-generated content, necessitating adaptive regulatory mechanisms. …”
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Explainable AI-Integrated and GAN-Enabled Dynamic Knowledge Component Prediction System (DKPS) Using Hybrid ML Model by Swathieswari Mohanraj, Shanmugavadivu Pichai

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Local AI Governance: Addressing Model Safety and Policy Challenges Posed by Decentralized AI by Bahrad A. Sokhansanj

“…Policies and technical safeguards for artificial intelligence (AI) governance have implicitly assumed that AI systems will continue to operate via massive power-hungry data centers operated by large companies like Google and OpenAI. …”
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On the role of knowledge graphs in AI-based scientific discovery by Mathieu d’Aquin

“…However, for machine learning models to be truly used as a tool for scientific advancement, we have to find ways for the knowledge implicitly gained by these models from their training to be integrated with the explicitly represented knowledge captured through knowledge graphs. …”
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Building Safer Social Spaces: Addressing Body Shaming with LLMs and Explainable AI by Sajedeh Talebi, Neda Abdolvand

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Leveraging psychedelic neuroscience to boost human creativity using artificial intelligence by Brian M. Ross

“…Integrating the cognitive mechanisms activated by psychedelics into AI design provides promising pathways for creativity enhancement. …”
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Big data and AI for gender equality in health: bias is a big challenge by Anagha Joshi, Anagha Joshi, Anagha Joshi

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AI-Driven Adaptive Communications for Energy-Efficient Underwater Acoustic Sensor Networks by A. Ur Rehman, Laura Galluccio, Giacomo Morabito

“…This paper proposes an artificial intelligence-driven framework aimed at enhancing energy efficiency and sustainability in applications of marine wildlife monitoring in underwater sensor networks, according to the vision of implementing an underwater acoustic sensor network. The framework integrates intelligent computing directly into underwater sensor nodes, employing lightweight AI models to locally classify marine species. …”
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Am.I.: Investigating AI Bias, Expression, and Humanities Through GPT-Powered Robotics by Pallas Athena Cain, Janyl Jumadinova, Heather Brand

“…This robotic head converses with a parallel AI system, generating dynamic and thought-provoking exchanges. …”
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Racial bias in AI-mediated psychiatric diagnosis and treatment: a qualitative comparison of four large language models by Ayoub Bouguettaya, Elizabeth M. Stuart, Elias Aboujaoude

“…Abstract Artificial intelligence (AI), particularly large language models (LLMs), is increasingly integrated into mental health care. …”
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Advances in the Automated Identification of Individual Tree Species: A Systematic Review of Drone- and AI-Based Methods in Forest Environments by Ricardo Abreu-Dias, Juan M. Santos-Gago, Fernando Martín-Rodríguez, Luis M. Álvarez-Sabucedo

“…Findings of this study reveal that deep learning (DL) models, particularly convolutional neural networks (CNN), are increasingly replacing traditional ML methods such as random forest (RF) or support vector machines (SVMs) because there is no need for a feature extraction phase, as this is implicit in the DL models. The integration of LiDAR with hyperspectral imaging further enhances classification accuracy but remains limited due to cost constraints. …”
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Reinforcement Learning for Bipedal Jumping: Integrating Actuator Limits and Coupled Tendon Dynamics by Yudi Zhu, Xisheng Jiang, Xiaohang Ma, Jun Tang, Qingdu Li, Jianwei Zhang

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Drinking as routine practice among re-integrating National Guard and Reservists from Arkansas by Traci H. Abraham, Ann M. Cheney, Geoffrey M. Curran, Karen L. Drummond

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Advancing Model Explainability: Visual Concept Knowledge Distillation for Concept Bottleneck Models by Ju-Hwan Lee, Dang Thanh Vu, Nam-Kyung Lee, Il-Hong Shin, Jin-Young Kim

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Bridging prediction and decision: Advances and challenges in data-driven optimization by Yanzhi Wang, Jianxiao Wang, Haoran Zhang, Jie Song

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RUL prediction method based on cross-view hybrid network model by Ai Yandi, Fang Dong, Tian Zhiping, Yan Kaiyang

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The Existence of Nahdlatul Ulama Da'wah in the Era of Digitalization and Disruption by Murharyana, Ibnu Imam Al Ayyubi, Irfan Suryana, Anita Andirani, Ai Sri Masfuroh, Nurafiah, Firda Noerzanah

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Study of the Design Optimization of an AIGC Ordering Interface Under the Dual Paths of User Demand Mapping and Conflict Resolution by Zhixiong Huang, Hongxiang Song, Xinhui Hong

“…Additionally, generative AI tools such as MidJourney are incorporated to accelerate concept generation and improve innovation. …”
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Multifractal-Aware Convolutional Attention Synergistic Network for Carbon Market Price Forecasting by Liran Wei, Mingzhu Tang, Na Li, Jingwen Deng, Xinpeng Zhou, Haijun Hu

“…The fractal attention (FA) module calculates similarity matrices within a multi-scale feature space through multi-head attention, adaptively integrating multifractal market dynamics and implicit associations. …”
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