The control strategy for distributed energy storage devices using fully diffusion strategy by Zejian Liu, Ping Yang, Xu Lin, Ziwei Fan, Cencen Hong

“…Compared with centralized control, the proposed method contributes to a higher scalability and reliability. Diffusion strategy allows adjacent nodes to diffuse and cooperate information in real-time, and it includes a stochastic gradient term. …”
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…While traditional anomaly detection approaches face limitations such as scalability issues, high false alarm rates, and reliance on skilled expertise, this study proposes a novel approach using a BiLSTM-Variational Autoencoder (BiLSTM-VAE) model with a dynamic loss function. …”
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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

“…The technique allows for capabilities to inform a massive database of information, from storage and indexing techniques to the distribution of queries, scalability, and performance in heterogeneous environments. …”
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Constructing immersive toy trial experience in mobile augmented reality by Lingxin Yu, Jiacheng Zhang, Xinyue Wang, Siru Chen, Xuehao Qin, Zhifei Ding, Jiahao Han

“…In terms of methodology, we have specifically designed an expandable collection of toy images, allowing the recognition of recently introduced toys by adding them to the database, enhancing the scalability of our application. In comparison to previous research, our work transcends the constraints of traditional toy shopping, providing a more intuitive, interactive, and personalized experience through AR technology.…”
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Feature Selection with Graph Mining Technology by Thosini Bamunu Mudiyanselage, Yanqing Zhang

“…A critical data preprocessing problem is feature selection, whereby its non-scalability negatively influences both the efficiency and performance of big data applications. …”
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Ferroelectric memory: state-of-the-art manufacturing and research by D. A. Abdullaev, R. A. Milovanov, R. L. Volkov, N. I. Borgardt, A. N. Lantsev, K. A. Vorotilov, A. S. Sigov

“…Semiconductor industry calls for emerging memory, demonstrating high speed (like SRAM or DRAM), nonvolatility (like Flash NAND), high endurance and density, good scalability, reduced energy consumption and reasonable cost. …”
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A proximal policy optimization based deep reinforcement learning framework for tracking control of a flexible robotic manipulator by Joshi Kumar V, Vinodh Kumar Elumalai

“…Moreover, the major limitation of the existing policy gradient based DRL techniques is that they are computationally expensive and suffer from scalability issues for complex higher order systems. …”
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A Modified Implementation of Tristate Inverter Based Static Master-Slave Flip-Flop with Improved Power-Delay-Area Product by Kunwar Singh, Satish Chandra Tiwari, Maneesha Gupta

“…Simulations were also performed at 130 nm, 90 nm, and 65 nm to reveal the scalability of both the designs at modern process nodes.…”
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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…FL enables decentralized training across many devices while preserving privacy and allowing scalability. The results show that the case for this approach is in detecting DDoS attacks, bringing out data confidentiality, and reducing computational load. …”
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Evaluating AI-Driven Mental Health Solutions: A Hybrid Fuzzy Multi-Criteria Decision-Making Approach by Yewande Ojo, Olasumbo Ayodeji Makinde, Oluwabukunmi Victor Babatunde, Gbotemi Babatunde, Subomi Okeowo

“…This study addresses this gap by evaluating and prioritizing AI-driven mental health alternatives based on key criteria, including feasibility of implementation, cost-effectiveness, scalability, ethical compliance, user satisfaction, and impact on clinical outcomes. …”
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Advanced load balancing techniques using MIMO fuzzy logic: A panel distribution case study at state polytechnic of Malang by Ika Noer Syamsiana, Harry Hassidiqi, Wijaya Kusuma, Anang Dasa Novfowan, Arwin Datumaya Wahyudi Sumari, Chandra Wiharya

“…The objective of this research is to make a significant contribution to improving the efficiency, reliability, and scalability of the power distribution system, with the ultimate goal of maximizing the use of electrical equipment.It will facilitate the implementation of more intelligent and adaptive decision-making processes. …”
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Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier by S. Gowthaman, Abhishek Das

“…Additionally, we used the Cope dataset to assess the scalability of our model across different classes and the UK Leaf dataset to evaluate its performance under varying background and noise conditions. …”
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Automatic Monitoring System for Seed Germination Test Based on Deep Learning by Qi Peng, Lifen Tu, Yunyun Wu, Zhenyu Yu, Gerui Tang, Wei Song

“…The system test results show that the seed germination test automatic monitoring system is low cost, does not depend on the seed background, light, camera model, and other usage environments, and has high scalability. The DDST-CenterNet algorithm proposed in this paper can still maintain high accuracy and good stability in the process of seed target detection and classification as the number and density of seeds increase, which is suitable for a special application scenario of seed germination test. …”
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Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks by Usman Tariq, Tariq Ahamed Ahanger

“…Traditional centralized security mechanisms are often inadequate in providing the real-time response and scalability required by such dispersed networks. This research promotes a shift toward distributed and real-time technologies, including blockchain and secure multi-party computation, to enhance communication integrity and privacy, ultimately strengthening system resilience by eliminating single points of failure. …”
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INTELTRADE: Intelligent Peer-to-Peer Energy Trading System With Dynamic Pricing and Coalition Formation by Nicholas Kemp, Md Sadman Siraj, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

“…INTELTRADE’s efficacy and scalability are validated through simulations with real-world data. …”
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Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility by Lidia Lazarova Vitanova, Evgeny Shirinyan, Tereza Trendafilova, Dessislava Petrova-Antonova

“…The significant benefit of this research is its potential for scalability and relevance to other metropolitan areas, especially those encountering comparable issues related to rising urban density, traffic congestion, and environmental pressures. …”
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Soft Artificial Synapse Electronics by Md. Rayid Hasan Mojumder, Seongchan Kim, Cunjiang Yu

“…This study highlights that SASs and functionalized SAS devices hold transformative potential for bioelectronics and sensing for soft-robotics applications; however, further research is necessary to address scalability, long-time stability, and utilizing functionalized SASs for prosthetics and in vivo applications through clinical adoption. …”
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The role of 5G in enhancing IOT connectivity: a systematic review on applications, challenges, and future prospects by Shankha Goswami, Surajit Mondal

“…In doing so, the paper underscores how 5G is expected to drive IoT innovation and scalability across diverse industries, positioning it as a critical enabler of next-generation digital ecosystems.…”
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From Data to Decisions: The Power of Machine Learning in Business Recommendations by Kapilya Gangadharan, Anoop Purandaran, K. Malathi, Barathi Subramanian, Rathinaraja Jeyaraj, Soon Ki Jung

“…Future research includes exploring advances in deep learning models, ethical considerations in the deployment of RS, and addressing scalability challenges. This study emphasizes the indispensability of comprehending and using ML in RS for researchers and practitioners to tap into the full potential of personalized recommendation in commercial business prospects.…”
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Parallelizing Quantum Simulation With Decision Diagrams by Shaowen Li, Yusuke Kimura, Hiroyuki Sato, Masahiro Fujita

“…Qubits are mathematically constructed in the Hilbert space whose size grows exponentially. Consequently, the scalability of the straightforward statevector approach is limited. …”
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