INVESTIGATING THE NEXUS BETWEEN GREEN ENERGY AND ARTIFICIAL INTELLIGENCE (AI) by MITHUN S. ULLAL, ADITYA ANAND, POPESCU VIRGIL, BIRAU RAMONA

“…Artificial Intelligence (AI) can enhance the efficient use of green energy and increase the scalability of renewable energy. The global shift towards green energy has to managed and optimized which is a major challenge. …”
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Design and Prototype of a Local Relay Fault Detection System for Three Phase Power Lines. by Lutaama, Samuel

“…A review of existing systems, including relay-based and microcontroller-based solutions, reveals challenges such as high costs and scalability. The methodology covers system architecture, fault detection algorithms, and the prototype development process, which integrates sensors and a user interface for monitoring. …”
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Secure IoT data dissemination with blockchain and transfer learning techniques by Pooja Anand, Yashwant Singh, Harvinder Singh

“…TraVel’s performance is evaluated on blockchain parameters, with simulations conducted on REMIX IDE and InterPlanetary File System (IPFS), demonstrating its reliability and scalability for secure IoT data dissemination.…”
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Concordance and Clinical Outcomes Improvement Following Oral Hygiene Motivation: A Systematic Review and Report of the Workshop of the Italian Societies of Dental Hygiene by Antonia Abbinante, Anna Antonacci, Michela Antonioni, Andrea Butera, Matteo Castaldi, Silvia Cotellessa, Caterina Di Marco, Martina Gangale, Rossana Izzetti, Maurizio Luperini, Carolina Maiorani, Gianna Maria Nardi, Alice Ravoni, Silvia Sabatini, Sandro Sestito, Augusta Virno, Filippo Graziani

“…Further research is warranted to explore the long-term sustainability and scalability of motivational interventions in diverse populations and settings.…”
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Capillary wave tweezer by Bethany Orme, Hamdi Torun, Matthew Unthank, Yong-Qing Fu, Bethan Ford, Prashant Agrawal

“…Abstract Precise control of microparticle movement is crucial in high throughput processing for various applications in scalable manufacturing, such as particle monolayer assembly and 3D bio-printing. …”
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Enabling Fast AI-Driven Inverse Design of a Multifunctional Nanosurface by Parallel Evolution Strategies by Ashish Chapagain, Dima Abuoliem, In Ho Cho

“…The parallel ES demonstrated the desired speed and scalability, accelerating the AI-driven inverse design of multifunctional nanopatterned surfaces. …”
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Harnessing the AI/ML in Drug and Biological Products Discovery and Development: The Regulatory Perspective by Fahimeh Mirakhori, Sarfaraz K. Niazi

“…The term AI itself has become commonplace to argue that greater “human oversight” for “machine intelligence” is needed to harness the power of this revolutionary technology for both potential and risk management, and hence to call for more practical regulatory guidelines, harmonized frameworks, and effective policies to ensure safety, scalability, data privacy, and governance, transparency, and equitable treatment. …”
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Nanotechnology-Enhanced Controlled Release Systems in Topical Therapeutics by Yohannes Teklehaimanot

“…Despite their potential benefits, challenges such as scalability, reproducibility, and safety concerns remain. …”
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Factors Associated with Successful Mentoring of Parents Addressing Childhood Obesity: A Mixed Methods Approach by Gabriela Abigail Villanueva, Byron Alexander Foster

“…The data suggest that a parent mentor model of intervention for child obesity is an acceptable mode of approaching behavior change in the Hispanic population around childhood obesity with potential for scalability if proven effective.…”
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Transforming SME operations with real-time mobile POS and Firebase integration by Farel Naufal Azhari, Sutarman

“…Future research should focus on its scalability, integration with advanced analytics, and application in larger retail settings.…”
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Quantum-inspired fluid simulation of two-dimensional turbulence with GPU acceleration by Leonhard Hölscher, Pooja Rao, Lukas Müller, Johannes Klepsch, Andre Luckow, Tobias Stollenwerk, Frank K. Wilhelm

“…This allows us to study the algorithm in terms of its applicability, scalability, and performance. By simulating two qualitatively different but commonly encountered 2D flow problems at high Reynolds numbers up to 1×10^{7} using a fourth-order time stepping scheme, we find that the algorithm has a potential advantage over direct numerical simulations in the turbulent regime as the requirements for grid resolution increase drastically. …”
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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira, Jessica N. A. Campbell

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”
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Research on the Application of Reinforcement Learning in Traffic Flow Prediction by Hu Yiquan

“…The paper suggests that future research directions should include expanding abnormal data, improving model efficiency and scalability, and extending application scenarios to further advance intelligent transportation systems.…”
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A Vortex Identification Method Based on Extreme Learning Machine by Jun Wang, Lei Guo, Yueqing Wang, Liang Deng, Fang Wang, Tong Li

“…Machine learning methods are related to the size and shape of the flow field, which are weak in versatility and scalability. It cannot be extended and is suitable for flow fields of different sizes. …”
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Federated learning assisted distributed energy optimization by Yuhan Du, Nuno Mendes, Simin Rasouli, Javad Mohammadi, Pedro Moura

“…Distributed energy management approaches can effectively address the evolving grid's scalability, resilience, and privacy requirements. In this context, the accuracy of agents' estimations becomes crucial for the performance of distributed and multi‐agent decision‐making paradigms. …”
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Performance Analysis of DAG-Based Blockchain Systems Based on Markovian Arrival Process by Xing-Shuo Song, Shi-Yong Li

“…The Direct Acyclic Graph (DAG)-based blockchain offers impressive scalability and finds applications across various sectors, notably the Internet of Things (IoT) industry. …”
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Introduction to ORC–VCC Systems: A Review by Tomasz Suchocki

“…This innovative system not only enhances performance but also offers scalability for various industrial applications. By providing a detailed evaluation of the ORC–VCC integration and its practical implications, this work underscores the system’s potential to contribute substantially to a sustainable energy transition. …”
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An Improved Deep Belief Network IDS on IoT-Based Network for Traffic Systems by Rayeesa Malik, Yashwant Singh, Zakir Ahmad Sheikh, Pooja Anand, Pradeep Kumar Singh, Tewabe Chekole Workneh

“…The security challenges such as privacy, scalability, authenticity, trust, and centralization thwart the quick adaptation of the smart services; hence, effective solutions are needed to be in place. …”
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Revocable identity-based proxy re-signature scheme in the standard model by Xiaodong YANG, Yutong LI, Jinli WANG, Tingchun MA, Caifen WANG

“…User revocation is necessary to the practical application of identity-based proxy re-signature scheme.To solve the problem that the existing identity-based proxy re-signature schemes cannot provide revocation functionality,the notion of revocable identity-based proxy re-signature was introduced.Furthermore,the formal definition and security model of revocable identity-based proxy re-signature were presented.Based on proxy re-signature scheme and binary tree structure,a revocable identity-based proxy re-signature scheme was proposed.In the proposed,scheme,the user's signing key consists of two parts,a secret key and an update key.The secret key transmitted over the secure channel is fixed,but the update key broadcasted by the public channel is periodically changed.Only the user who has not been revoked can obtain the update key,and then randomize the secret key and update the key to generate the corresponding signature key of the current time period.In the standard model,the proposed scheme is proved to be existentially unforgeable against adaptive chosen-identity and chosen-message attacks.In addition,the proposed scheme has properties of bidirectionality and multi-use,and can resist signing key exposure attacks.The analysis results show that the proposed scheme can efficiently revoke the user and update the user’s key,and thus it has good scalability.…”
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Dual-Layer Dynamic Optimization Model for Carbon-Conscious Transport Mode Allocation by Jing Gan, Dongmei Yan, Linheng Li

“…The proposed model and algorithm are tested on a large-scale real network and show its robustness and scalability. The optimal travel structure derived from this study can provide a theoretical foundation and empirical support for policymakers and urban planners in setting transport infrastructure goals and strategies.…”
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