From PGC to UGC to AIGC: Change of content paradigm by Gao Ao

“…The study also points out that the development of AIGC technology relies on the support of algorithms, meta-universes and blockchain technology, while also sparking discussions on intellectual property, copyright, ethics and other issues. …”
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Advancements in Multipath Mitigation for GNSS Receivers: Review of Channel Estimation Techniques by Pedro Miguel Coelho Pereira, Hélder David Malheiro da Silva, Carlos Manuel Gregório Santos Lima

“…An analysis of adaptive algorithms is conducted for multipath mitigation applications.…”
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Pharmacotherapeutic Options for Ophthalmic Conjunctivitis by A. D. van Eyk

“…Herpes simplex and Herpes zoster are the infective organisms also responsible for conjunctivitis while seasonal pollens are usually the cause for allergic conjunctivitis. …”
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Research on the Application of Artificial Intelligence in Quantitative Investment: Implementation Scenarios, Practical Challenges, and Future Trends by Chen Boshan

“…First, the paper reviews the evolutionary trajectory of AI technologies, spanning from early expert systems to contemporary deep reinforcement learning, while analyzing breakthrough developments in specialized financial AI tools and core technical capabilities. …”
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Navigating the Dilemma of AI Integration for Organisational Performance: Insights for Contemporary Business Strategists by Jeanette Owusu, Isaac Sardello Kodzo Agbesi

“…In this literature review, the author examines how businesses can effectively implement AI to improve decision-making, productivity, and customer experience while addressing data privacy, algorithmic bias, and ethical implications. …”
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Ghost in the Machine: Daily Interaction with Ephemeral Computing by Sofia Pirandello

“…To realise this project of ubiquitous “spatial computing”, technology companies are converging on the development of wearable tools, mostly augmented reality (AR) glasses. While wearing them, users manipulate responsive but intangible objects that they “evoke” and that can appear ghostly from a distance. …”
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A Comparative Analysis of Artificial Intelligence Regulatory Law in Asia, Europe, and America by Alfiani Francisca Romana Nanik, Santiago Faisal

“…While the regulatory approaches differ across these regions, they share a common goal: ensuring that AI benefits society while minimizing negative impacts.…”
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Audit Program on Artificial Intelligence (AI)-driven Credit Risk Models by Valeria Anna De Palma, Alessandro Di Maria, Daniele Foschini, Vincenzo Frasca, Dario Girardi

“…From an Internal Audit perspective, the integration of Artificial Intelligence (AI) into credit risk modelling through Machine Learning (ML) algorithms presents significant challenges due to the complexity and multidimensional nature of these models. …”
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Fast-converging decentralized alternating direction method of multipliers for consensus optimization by Jeannie He, Ming Xiao, Mikael Skoglund

“…Through theoretical analysis, we have shown that our algorithms inherit the well-established convergence properties of the classical centralized ADMM while keeping the computational and communication complexity for each node at $${\mathcal {O}}(1)$$ O ( 1 ) . …”
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Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry by Raziye Kılıç Sarıgül, Burak Erkayman, Bilal Usanmaz

“…To solve this problem, both supervised and unsupervised learning algorithms were applied. First, unsupervised clustering algorithms were used to group the shipment performance based on similarities. …”
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Application of artificial intelligence technologies for the detection of early childhood caries by Priyanka A, Rishi Sreekumar, S Namasivaya Naveen

“…The DL algorithms, such as the Convolutional Neural Networks, achieved up to 93.3% accuracy on tooth photographs, while Artificial Neural Networks reached 99% accuracy for primary molar caries. …”
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Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers by Evan Scope Crafts, Umberto Villa

“…The results provide insight into the strengths and limitations of existing diffusion-model based posterior samplers, while the benchmark problems provide a testing ground for future algorithmic developments.…”
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lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression by Sean K. Maden, Louise A. Huuki-Myers, Sang Ho Kwon, Leonardo Collado-Torres, Kristen R. Maynard, Stephanie C. Hicks

“…Abstract Background Relative cell type fraction estimates in bulk RNA-sequencing data are important to control for cell composition differences across heterogenous tissue samples. While there exist algorithms to estimate the cell type proportions in tissues, a major challenge is the algorithms can show reduced performance if using tissues that have varying cell sizes, such as in brain tissue. …”
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FedEasy : Federated learning with ease by Majid Kundroo, Ghani Haider, Nguyen Khoa, Abdul Wahab Mamond, Taehong Kim

“…Federated learning (FL) has emerged as a promising paradigm for training machine learning models on distributed data while preserving privacy and adhering to regulations. …”
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Proposing a Postcritical AI Literacy by Eugenia Stamboliev

“…To address these concerns, I suggest moving beyond the focus on algorithmic transparency and towards a post-critical AI literacy to strengthen debates on access, empowerment, and resistance, while not dismissing XAI as a field, nor algorithmic transparency as an intention. …”
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A Review of Recipe Recommendation Methods by Yao Wu, Ling Kang, Quan Guo, Lei Zhao

“…Recipe recommendation aims to provide users with a curated list of recipes tailored to their dietary preferences, nutritional requirements, and other relevant factors. While existing recommendation algorithms have demonstrated effectiveness in traditional domains such as news, music, and product recommendations, there remains a relative paucity of research focused specifically on recipe recommendation within the culinary field, resulting in fragmented findings. …”
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Intelligent Modelling Techniques for Enhanced Thermal Comfort and Energy Optimisation in Residential Buildings by Shamaila Iram, Hafiz Muhammad Athar Farid, Abduljelil Adeola Akande, Hafiz Muhammad Shakeel

“…The study underscores the ability of sophisticated algorithms to clarify the complex relationships between environmental factors and occupant comfort. …”
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Comparison of Innovative Strategies for the Coverage Problem: Path Planning, Search Optimization, and Applications in Underwater Robotics by Ahmed Ibrahim, Francisco F. C. Rego, Éric Busvelle

“…In many applications, including underwater robotics, the coverage problem requires an autonomous vehicle to systematically explore a defined area while minimizing redundancy and avoiding obstacles. …”
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Economic evaluation of diagnostic tests for Thai patients with tuberculosis: A dynamic transmission model approach. by Natthakan Chitpim, Naiyana Praditsitthikorn, Lisa J White, Aronrag Meeyai, Jiraphun Jittikoon, Kornkanok Bunwong, Sitaporn Youngkong, Montarat Thavorncharoensap, Surakameth Mahasirimongkol, Wanvisa Udomsinprasert, Usa Chaikledkaew

“…Compared to SSM with culture and DST, the ICER values (Baht per QALY gained) of TB-LAMP Add-On (3,563), Xpert MTB/RIF Add-On (3,670), and TB-LAMP Initial (6,429) indicated that these algorithms were cost-effective, while Xpert MTB/RIF Initial emerged as a cost-saving option. …”
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Semisupervised Community Preserving Network Embedding with Pairwise Constraints by Dong Liu, Yan Ru, Qinpeng Li, Shibin Wang, Jianwei Niu

“…It preserves the structure and internal attributes of the networks while representing nodes as low-dimensional dense real-valued vectors. …”
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