Recent Advances in In Situ 3D Surface Topographical Monitoring for Additive Manufacturing Processes by Vignesh Suresh, Badrinath Balasubramaniam, Li-Hsin Yeh, Beiwen Li

“…Furthermore, the article discusses the state-of-the-art advancements in closed-loop feedback control systems, sensor fusion, and machine learning algorithms to integrate 3D surface data with various process signatures to dynamically adjust laser parameters and scan strategies. …”
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PERFORMANCE EVALUATION OF LIGHTWEIGHT OBJECT DETECTION MODELS FOR REAL-TIME PERSONAL PROTECTIVE EQUIPMENT DETECTION IN THE CONSTRUCTION SITES by Herman, Sandy Alferro Dion, Andik Yulianto

“…Using lightweight machine learning algorithms, object recognition can help to detect if the PPEs are worn correctly. …”
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The Potential of Unsupervised Induction of Harmonic Syntax for Jazz by Ruben Cartuyvels, John Koslovsky, Marie-Francine Moens

“…Hierarchical structures describing a syntax of harmony have long been studied and proposed by music theorists, but algorithms that model these structures either require costly expert annotations for training or are based on music theorists' predispositions about harmonic syntax. …”
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Modernizing Transactional Systems: Deep Dive from Monolithic to Micro services Architectures by Krishna Kumaar Ragothaman

“…It investigates the role of these architectures in the sectors such as e-commerce, banking, and online transactions, addressing research questions about the most effective architectures for transactional applications and the influence of intelligent algorithms on real-time analytics and decision-making. …”
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Genomic Variability and Recombination Analysis of Grapevine leafroll-associated virus-1 Isolates from Turkey by Eminur Elçi

“…Among the four gene regions, CPd2 was found the most divergent region while HSP70h gene exhibited the lowest genetic diversity. …”
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Decentralized Coordination of Temperature Control in Multiarea Premises by Maria Yukhymchuk, Volodymyr Dubovoi, Viacheslav Kovtun

“…The results of comparing the MSH system’s efficiency show an increase in comfort while reducing energy consumption.…”
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…Extensive experimental results demonstrate that our proposed method achieves competitive performance while maintaining relatively low resource occupancy of the model. …”
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Assessment of Corporate Financial Flood Risks Due to Property Damage and Business Interruption Loss by Masahiro Abe, Peter Adriaens

“…The comparison demonstrates reasonable results with the modeled estimates, while also highlights the importance of carefully interpreting and selecting regional property damage curves and business interruption duration data. …”
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Comprehensive multi-omics analysis of histone acetylation modulators identifies ASH1L as a novel aggressive marker for osteosarcoma by Chenlie Ni, Qiwen Sun, Haibo Yin

“…Abstract Background Osteosarcoma, a highly malignant bone tumor prevalent in children and adolescents, continues to have poor long-term survival rates, particularly in metastatic cases. While histone acetylation dysregulation has been implicated in cancer progression, the role of histone acetylation modification-related proteins (HAMRPs) in osteosarcoma immune infiltration and prognosis remains unclear. …”
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Design of an efficient dynamic context‐based privacy policy deployment model via dual bioinspired Q learning optimisations by Namrata Jiten Patel, Ashish Jadhav

“…The model addresses the challenge of maintaining privacy while ensuring data integrity and usability in various settings. …”
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Automated robotic-assisted patient positioning method and dosimetric impact analysis for boron neutron capture therapy by Jiang Chen, Yi-Chiao Teng, Diyun Shu, Qiuping Gong, Qiaolin Xie, Yuan-Hao Liu

“…Abstract Boron Neutron Capture Therapy (BNCT) represents a revolutionary approach in targeted radiation treatment for cancer. While the therapy’s potential in precise targeting is well-recognized, a critical bottleneck remains in the accurate positioning of patients for treatment delivery. …”
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Art, community and AI: images for an affective memory by Jacob Bañuelos Capistrán, Diego Zavala Scherer, Nohemí Lugo Rodríguez

“…These applications challenge dominant discourses that render specific social collectives invisible within society while offering new methodological approaches for the restoration of fractured memories and historical healing.…”
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Implementation status of European guidelines on trauma management of prehospital bleeding control: a national survey in Austria by Julia Doescher, Sibylle Langenecker

“…This gap underscores the need for enhanced training, regular continuing education, and the use of algorithms and checklists to support Bleeding Guideline adherence. …”
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Handwriting Difficulties: A Review of Recent Advances in the Identification and Intervention by Suatmi Murnani, Kazuharu Hashitsume, Tomohiko Igasaki

“…Key techniques examined include the use of spatiotemporal signals, image data, feature-extraction methods, and algorithmic classification. We also explored key experimental design elements and assistive interventions aimed at improving handwriting performance. …”
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Postmarketing adverse events of efgartigimod alfa: a real-world pharmacovigilance study based on the FAERS database by Yaxin Ju, Xiaohong Qin

“…Urinary tract infection was the most reported AE, while procedural headache demonstrated the strongest signal across all four algorithms. …”
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Artificial neural networks-based multi-objective optimization of immersion cooling battery thermal management system using Hammersley sampling method by Muhammed Donmez, Mehmet Ihsan Karamangil

“…Multi-objective optimization, using ANN-based multi objective genetic algorithms, is conducted on a 16S1P configuration at 4C discharge and 0.008 kg/s. …”
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Crash severity prediction using a virtual geometry-group-based deep learning approach with images-based feature representation by Nanon Sonnatthanon, Kasem Choocharukul

“…Accurate prediction of accident severity is essential for developing effective road safety interventions. While previous research has explored various statistical and machine learning models, their predictive performance has been limited due to a primary focus on accurate metrics and the challenges posed by discrete accident data. …”
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Leveraging artificial intelligence as a learning tool in higher education by Mncedisi Christian Maphalala, Oluwatoyin Ayodele Ajani

“…These concerns include data privacy, algorithmic bias, intellectual property rights, and academic integrity. …”
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Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches by İnayet Burcu Toprak

“…In addition, Machine Learning algorithms were applied to predict hardness values. …”
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Achieving Equity via Transfer Learning With Fairness Optimization by Xiaoyang Wang, Chia-Hsuan Chang, Christopher C. Yang

“…Machine learning algorithms are increasingly used in real-world decision-making systems, raising concerns about potential biases and unfairness. …”
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