Reconstructing unreadable QR codes: a deep learning based super resolution strategy by Yasin Sancar

“…Quick-response (QR) codes have become an integral component of the digital transformation process, facilitating fast and secure information sharing across various sectors. …”
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The Impact of Value Chains on Food Security by Elena G. Kazantseva, Igor I. Lyamkin

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Integrated Information Theory and the Phenomenal Binding Problem: Challenges and Solutions in a Dynamic Framework by Chris Percy, Andrés Gómez-Emilsson

“…The solution—that particular entities aggregable from multiple units (‘complexes’) define existence—might work in a static picture, but introduces issues in a dynamic system. We ask what happens to our phenomenal self as the main complex moves around a biological neural network. …”
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Transforming Auditing in the AI Era: A Comprehensive Review by Nguyen Thi Thanh Binh

“…However, their low representation (0.4% each) may indicate that such issues remain relatively peripheral in current academic discourse. …”
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Nonlinear prediction model of vehicle network traffic management based on the internet of things by Zhijie Peng, Lili Yin

“…System architecture consists of three spatially separated layers: IoT sensor network for data collection, real-time data processing pipeline and the user interface for visualization. …”
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Designing and implementing a Web-based real time routing service for crisis management (a case study for district 11 of Tehran) by javad sadidi, seyed hassan hosseini sajedi

“…Timing framework associated with catastrophes is one of the most important issues in crisis management. In such cases, being immediate has a considerable importance and web based real-time routing service as an important tool has a significant role in relief operations improvement. …”
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6D Pose Estimation Algorithm Based on Improved YOLOv5 With Asymptotic Feature Pyramid Network and Attention Mechanism by Yan Zhang, Hanyu Ye

“…However, real-world 6D pose estimation presents significant challenges, including cluttered backgrounds, lighting variations, and the absence of surface textures. These issues make it difficult for existing methods to achieve both high accuracy and real-time performance. …”
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Corrosion Resistance of Steel Pipelines under Various Thermal Insulation Materials by Zemlyanko A.S., Semenov V.S., Zhukov A.D., Shuvalova E.A.

“…The durability of insulation systems for pipelines is determined by the operational resistance of the pipeline material and the design of the insulation system. The issue of studying the corrosion processes of steel pipelines under various heat-insulating materials is relevant. …”
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Comparison of the review models and regulatory timelines of seven countries participating in the ECOWAS-MRH initiative: identifying opportunities for improvement by Mercy Owusu-Asante, Mercy Owusu-Asante, Delese Mimi Darko, Seth Seaneke, Aminata Nacoulma, Oula Ibrahim Olivier Traore, Mojisola Christianah Adeyeye, Abayomi Akinyemi, Coulibaly Assane, Clarisse Épse Kaul Meledje Clamoungou, Oumy Kalsoum Ndao, Rokhaya Ndiaye Kande, James Komeh, Sheku Mansaray, Dalkoi Lamboni, Maheza Agba, Sam Salek, Sam Salek, Stuart Walker, Stuart Walker

“…In addition, there were differences reported in the targets for the key milestones in the full review process. These issues ultimately led to differences in the overall approval times for medicines that were processed via the full review pathway. …”
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EIT Observed Hypoxemia Caused by V/Q Mismatch During One‐Lung Ventilation With Indocyanine Green Inhalation: A Report of Two Cases by Xiaoyan Li, Maokun Li, Jian Zhou, Yi Feng, Ke Zhang, Haiyan Xu, Zhenfan Wang, Xue Tian

“…However, hypoxaemia during the nebulization process remains a challenging issue. In this report, we present two cases monitored using Electrical Impedance Tomography (EIT), where individual differences in pulmonary blood flow redistribution contributed to hypoxaemia. …”
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Digital models of the consult-organization of management in the company by T. Rostovskaya, I. Groshev, Yu. Krasovskii

“…These models “visualize” the negotiation process with the Customer, helping to quickly establish business contacts, as well as significantly reducing the time of the negotiation process.…”
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Analyzing the interaction of artificial intelligence and the formation of architectural design ideas by Negar Zargaran khoozany, Leila Zare

“…<p>This article examines the very important and effective role of artificial intelligence in the process of forming design ideas in the field of architecture. …”
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DEVELOPMENT AND FEATURES OF THE TRANSNATIONAL CORPORATIONS’ INFLUENCE ON UKRAINIAN ECONOMY by О. П. Радченко, О. І. Шавалюк

“…Proposed article is devoted to the actual question of studying economical transformation tendencies under the transnationalization influence. The issue was considered on the basis of studying processes of integration using diversification recourses, an analysis of flexible adaptation mechanism to the outside changeable conditions that are characterized with mobile structure of TNC management structures. …”
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Interactions between microplastics and microbiota in a One Health perspective by Anna Caterina Procopio, Alessio Soggiu, Andrea Urbani, Paola Roncada

“…The interactions between microbiota and microplastics are an issue of fundamental importance in studying and maintaining global health. …”
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Multiscale Materials Imaging and Spectroscopy for Battery Materials by Youngwoo Choi, Gumin Kang, Seonghyun Kim, Yoonhan Cho, Jaewhan Oh, Dongho Kim, Jacob Choe, Jong Min Yuk, Pyuck‐Pa Choi, Yongsoo Yang, Sung‐Yoon Chung, Chi Won Ahn, Jongwoo Lim, Seungbum Hong

“…Moreover, the integration of machine learning accelerates data processing, enabling multiscale correlations and predictive modeling. …”
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State Estimation for Active Distribution Networks Considering Bad Data in Measurements and Topology Parameters by Yizhe Chen, Yifan Gao, Kai Gan, Ming Li, Chengzhi Wei, Xiaoyi Guo, Ruifeng Zhao, Jiangang Lu, Liang Che

“…Traditional SE methods face the challenges of increasing SE errors and decreased robustness due to the adverse impact of bad data in measurements and topology parameters. To address these issues, this paper proposes a robust SE method that considers bad data in measurements and topology parameters. …”
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Population genetics of horticultural crops aided by multi-omics technology and its implications for ornamental plants by Bixuan Cheng, Wenting Du, Peter M. Bourke, Chao Yu

“…The strategies for the effective application of these integrated approaches in the genetic dissection of ornamental plant populations was discussed. The challenges in processing large dataset were acknowledged and promising prospects of artificial intelligence (AI) when addressing such issues were outlined. …”
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Predicting adverse drug reactions in oncology: A critical review of machine learning approaches and future directions by Abid Yahya, Phatsimo Lobelo, Afiya Eram, Sana Althaf Hussain, Irfan Anjum Badruddin, Lory Liza D. Bulay-og, Dionel O. Albina

“…We go over a variety of methods for utilizing both structured and unstructured clinical data, such as supervised, unsupervised, and deep learning models in addition to natural language processing (NLP) strategies. Strong performance has been demonstrated by ensemble techniques like Random Forest and Gradient Boosting, while deep neural networks allow for sophisticated feature extraction, albeit with interpretability issues. …”
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Ethical and social considerations of applying artificial intelligence in healthcare—a two-pronged scoping review by Emanuele Ratti, Michael Morrison, Ivett Jakab

“…However, in the rapidly developing field of AI, developments such as machine learning, neural networks, generative AI, and large language models have the potential to raise new and distinct ethical and social issues compared to, for example, automated data processing or more ‘basic’ algorithms. …”
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Identification of leptin resistance in patients with coronary artery disease and heart defects by E. Е. Gorbatovskaya, Yu. A. Dyleva, E. V. Belik, E. G. Uchasova, R. S. Tarasov, O. V. Gruzdeva

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