Machine learning driven design and optimization of a compact dual Port CPW fed UWB MIMO antenna for wireless communication by Jayant Kumar Rai, Swati Yadav, Ajay Kumar Dwivedi, Vivek Singh, Pinku Ranjan, Anand Sharma, Somesh Kumar, Stuti Pandey

“…The DT ML algorithms provide a higher accuracy of 99.92% compared to the remaining ML algorithms. …”
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The role of artificial intelligence in enhancing personalized learning pathways and clinical training in dental education by Chengchen Hu, Fang Li, Shengguo Wang, Zhi Gao, Shan Pan, Maofeng Qing

“…Moreover, AI-driven innovations in dental biomaterials are optimizing material selection and prosthetic design, while robotic-assisted systems are enhancing precision in clinical training and treatment procedures. The review also addresses the expanding integration of AI into educational settings, highlighting both the benefits and the ethical challenges, including issues related to data privacy, algorithmic bias, and the evolving role of human educators. …”
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Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum by Metin Yilmaz, Eyup Cinar, Ahmet Yazici

“…Traditional Battery Management System (BMS) algorithms can be inadequate for State of Charge (SoC) estimation due to incorrect measurements and unobservable battery characteristics. …”
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A comprehensive image dataset for carambola leaf and fruit disease classification and quality assessmentMendeley Data by S.M. Abdullah Al Muhib, Rejowan Arifin Nayeem, Noman Mezi, Nafiz Ahmed Emon

“…The Carambola (Averrhoa carambola), also known as starfruit, is a tropical fruit with significant economic and nutritional value. …”
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Dealing with Multiple Optimization Objectives for UAV Path Planning in Hostile Environments: A Literature Review by Thomas Quadt, Roy Lindelauf, Mark Voskuijl, Herman Monsuur, Boris Čule

“…Current research has predominantly focused on developing new optimization algorithms. Although being able to find the mathematical optimum is important, one also needs to ensure this optimum aligns with the decision-maker’s (DM’s) most preferred solution (MPS). …”
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Machine Learning Techniques in Chronic Kidney Diseases: A Comparative Study of Classification Model Performance by Nguyen Dong Phuong, Nguyen Trung Tuyen, Vu Thi Thai Linh, Nghi N Nguyen, Thanh Q Nguyen

“…Chronic kidney disease (CKD) is becoming increasingly prevalent, affecting not only older adults but also younger populations. To minimize kidney damage for those at risk, an accurate assessment and monitoring of CKD are crucial. …”
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A novel stability-indicating chromatographic quantification of the antiparkinsonian drug safinamide in its pharmaceutical formulation employing HPTLC densitometry and ion-pair HPLC... by Engy A. Ibrahim, Samah S. Saad, Maha A. Hegazy, Laila E. Abdel Fattah, Hoda M. Marzouk

“…In addition, the innovative concepts of "blueness" and "whiteness" evaluation were incorporated through the newly introduced BAGI and RGB12 algorithms, respectively.…”
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Shape2.5D: A Dataset of Texture-Less Surfaces for Depth and Normals Estimation by Muhammad Saif Ullah Khan, Sankalp Sinha, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal

“…Our comprehensive benchmarks demonstrate the dataset’s ability to support the development of algorithms that robustly estimate depth and normals from RGB images and perform voxel reconstruction. …”
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A Data Fusion System for Simulation of Critical Scenarios and Decision-Making by Jimmy Anderson Flórez Zuluaga, Esteban Patino Carrasco, Jose David Ortega Pabón, Kelly Gallego León, O. Lucía Quintero Montoya

“…Also based on business intelligence tools, reports are generated to evaluate the decisions made. …”
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A Fuzzy Hypergraph-Based Framework for Secure Encryption and Decryption of Sensitive Messages by Annamalai Meenakshi, Obel Mythreyi, Leo Mrsic, Antonios Kalampakas, Sovan Samanta

“…Traditional cryptographic systems based on numerical algorithms or standard graph theory are still open to structural and computational attacks, particularly in light of advances in computation power. …”
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A Conceptual Framework for Planning Road Digital Twins by Munkhbaatar Buuveibaatar, Ioannis Brilakis, Matt Peck, George Economides, Wonhee Lee

“…To achieve this, we reviewed the relevant literature defining DT planning. We also examined stakeholders’ relevant guidelines and documents from national bodies that roadmap the road DT planning process to understand the scope and identify knowledge gaps. …”
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Enhancing Greenhouse Efficiency: Integrating IoT and Reinforcement Learning for Optimized Climate Control by Manuel Platero-Horcajadas, Sofia Pardo-Pina, José-María Cámara-Zapata, José-Antonio Brenes-Carranza, Francisco-Javier Ferrández-Pastor

“…Automated systems, regulated by algorithmic protocols and predefined set-points for feedback control, require the oversight and fine tuning of skilled technicians. …”
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Deciphering the evolution of metaverse - A techno-functional perspective in digital marketing by Mohammad Wasiq, Abu Bashar, Brighton Nyagadza, Amar Johri

“…The major sub-themes of the study are User Behaviors and Preferences, Branding on virtual environment, Virtual reality, Virtual wearables and Virtual Socialization. This study also reveals the emerging trends and gaps in literature that pave the ways for future research expansion in the information systems and metaverse marketing. …”
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Modular multilevel converter periodic trajectory determination — A generic Fourier-based collocation method by Philippe De Rua, Jef Beerten

“…Being based in the time-domain, the developed method naturally accounts for nonlinearity in the differential equations and, being real-valued, it is solved efficiently with readily available root-finding Newton-based algorithms. In this paper, the proposed method is also applied to an illustrative simple RLC circuit as well as to a complete arm-averaged model of the MMC; it is validated against simulations and compared with a state-of-the-art shooting method.…”
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Enhancing emergency response efficiency through advanced urban logistics: The role of driver psychophysiology and vehicle dynamics in mitigating socio-economic impacts by Yurii Davidich, Dávid Földes, Andrii Galkin

“…By integrating quantitative and qualitative methodologies, this research not only enhances our understanding of these dynamics but also provides actionable strategies to improve the efficacy of emergency services. …”
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Enhancing sustainability in dairy industry: Blockchain-based waste reduction by Diana Hawashin, Khaled Salah, Raja Jayaraman, Raja Wasim Ahmad, Salil Kanhere, Ernesto Damiani

“…We also validate the effectiveness of our developed smart contracts and make our smart contract code publicly available on GitHub.…”
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Thermal Conductivity Characteristics of Thermal Insulation Materials Immersed in Water for Cold-Region Tunnels by Youyun Li, Yongmei Sun, Yuan Zhuang, LiMin Duan, Ke Xie

“…This study investigates the distribution of pore water on the basis of the measured mass moisture content after soaking the tunnel insulation material. This study also analyzes the influence of the distribution of pore water on the thermal conductivity of the material on the basis of this mass moisture content. …”
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Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration by Lucas Kohnke, Di Zou, Amy Wanyu Ou, Michelle Mingyue Gu

“…The need to maintain data privacy and protect against algorithmic bias emerged as critical areas of concern. …”
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Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

“…The study shows that these technologies not only improve sleep conditions, but also have a positive impact on the user's overall health and reduce stress levels. …”
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Research on an Intelligent Design Method for the Geometric Structure of Three-Layer Hollow Fan Blades by Jialin Lei, Jiale Chao, Chuipin Kong, Xionghui Zhou

“…The geometric structure design of three-layer hollow fan blades is extremely complex, which is not only directly related to the blade quality and manufacturing cost but also has a significant impact on engine performance. …”
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