Semantic Segmentation of Unmanned Driving Scene Based on Spatial Channel Dual Attention by WANGXiaoyu, LINPeng

“…Existing semantic segmentation algorithms have too many parameters and huge memory usage , which makes it difficult to meet the problems of real-world applications such as unmanned driving. …”
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The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

“…A fictional example is given to demonstrate one aspect of how AI can assist in the decision making by accepting genetic and clinical information on the patient and generating treatment proposals that are most likely to lead to better results. Also, the paper points to some other significant issues related to privacy such as the integration of databases, the lack of algorithms’ transparency and ethics, and barriers at the level of regulation, while, at the same time, emphasizing the need for real-time AI powered personalization and contactless advanced AI techniques. …”
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Revolutionizing Supply Chain Management With AI: A Path to Efficiency and Sustainability by Kassem Danach, Ali El Dirani, Hassan Rkein

“…While the capabilities and applications of AI in SCM have been widely discussed, this paper addresses a critical gap by presenting a comprehensive framework that not only highlights the benefits but also explores the limitations and challenges of AI adoption in real-world supply chains. …”
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Innovative AI Solutions for Water-Efficient Smart Irrigation in Agriculture by Saha Laboni, Dubey Ahilya

“…The proposed AI solutions are integrated platform of machine learning algorithms and sensor data, predictive analytics for the purpose to generate a water efficient irrigation framework reacts dynamically to the crops' needs and environmental conditions. …”
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Monitoring the technical condition of the rotor winding turbogenerator by M. V. Krickij, V. I. Polishchuk

“…Materials and Methods: During development of the monitoring system methods, digital processing of signals on the basis of adaptive filtration algorithms and mathematical possibility theory application were used. …”
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Authorship identification methods in student plagiarism detection by A. I. Paramonov, I. A. Trukhanovich

“…Both classical methods, which include text comparison and similarity search, and modern methods based on machine learning algorithms, as well as their combination and potential modifications, are considered. …”
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Transforming Farming: A Review of AI-Powered UAV Technologies in Precision Agriculture by Juhi Agrawal, Muhammad Yeasir Arafat

“…Furthermore, practical solutions to technological challenges are summarized to provide insights into precision agriculture. This paper also discusses the barriers to UAV adoption and suggests practical solutions to overcome existing limitations. …”
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Quadrature based innovative techniques concerning nonlinear equations having unknown multiplicity by Farooq Ahmed Shah, Muhammad Waseem

“…The significance of iterative algorithms executed by computers in resolving such functions is of paramount importance and undeniable in contemporary times. …”
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Detection of communities with Naming Game-based methods. by Thais Gobet Uzun, Carlos Henrique Costa Ribeiro

“…In addition, the resulting uncertainty and trust values classify nodes and edges according to role and position in the network. Also, our model has shown a degree of accuracy both for non-overlapping and overlapping communities that are comparable with most algorithms specifically designed for topological community detection.…”
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Optimising 3D-printed carbon fibre composites using machine learning: Balancing strength and efficiency by José Humberto S. Almeida, Jr., Guilherme Ferreira Gomes

“…This study introduces a data-driven framework that integrates machine learning (ML) and genetic algorithms (GA) to optimise interlaminar strength and minimise printing time simultaneously. …”
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Optimised Implant Selection Using Digital Volume Tomography (DVT) Osteodensitometry by Manfred Nilius, Jörg Winterhoff

“…A standard integration of DVT osteodensitometry in the algorithms of implant planning software thus seems desirable.…”
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Data-Driven Modeling and Enhancement of Surface Quality in Milling Based on Sound Signals by Paschalis Charalampous

“…This approach not only facilitates in-process monitoring but also provides a foundation for intelligent manufacturing systems capable of real-time quality assurance.…”
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Electronic News Dataset for Native Advertisement Detection by Brian Rizqi Paradisiaca Darnoto, Daniel Siahaan, Diana Purwitasari

“…Through the meticulous aggregation of news from six mainstream electronic news portals in Indonesia, the study extends beyond mere identification of native ads to also encompass four additional implicit characteristics typically associated with such content. …”
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Evaluation of Liver Fibrosis through Noninvasive Tests in Steatotic Liver Disease by Yuri Cho

“…Serum biomarkers, such as fibrosis-4 index and NFS Score, are also used widely, offering reliable diagnostic performance for advanced fibrosis. …”
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Balcerzak, Michal and Julia Kapelańska-Pręgowska, eds. 2024. Artificial Intelligence and International Human Rights Law. Developing Standards for a Changing World by Itziar Artíñano Ortiz

“…Mass surveillance, algorithmic bias, and privacy violations stand out among these aspects. …”
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Integrating Generative AI and Large Language Models in Financial Sector Risk Management: Regulatory Frameworks and Practical Applications by Valentina Lagasio, Danilo Mercuri, Jasmine Pirillo, Michele Belloli

“…Furthermore, we propose a novel framework for the responsible adoption of AI in financial risk management, addressing concerns related to model interpretability, data privacy, and algorithmic bias. Our findings suggest that while generative AI and LLMs offer unprecedented opportunities for enhancing risk management capabilities, they also necessitate a recalibration of regulatory approaches to ensure financial stability and consumer protection. …”
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Stochastic artificial intelligence models for water resources management: innovative riverflow estimation amidst uncertainty by Mojtaba Poursaeid

“…The BORT and RT models also achieved excellent results, with their performance being on par with that of the top-performing RSRT model.…”
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Influence of Explanatory Variable Distributions on the Behavior of the Impurity Measures Used in Classification Tree Learning by Krzysztof Gajowniczek, Marcin Dudziński

“…We also demonstrate how certain explanatory variables affect the process of interactive tree learning.…”
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IoT SOLUTION FOR LEVEL MEASUREMENT IN THE OIL AND GAS INDUSTRY by Constantin Octavian Bercea

“…The intelligent modules of the system process, based on software algorithms, the data from the sensors and communicate them to other microprocessor subsystems for conversions, storage and presentation of the results. …”
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Research Progress on Application of Intelligent Operation and Maintenance Models in Medical Equipment Management by Jin LI, Xiu XU, Jing TONG, Wei JIN, Chenge WANG, Ruiyao JIANG

“…This paper reviews the technical overview of intelligent O&M and discusses the algorithms and challenges of intelligent O&M models based on different technologies. …”
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