A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring by Ali H. Hassan, Elsadig Musa Ahmed, Jamal M. Hussien, Riza bin Sulaiman, Mansoor Abdulhak, Hasan Kahtan

“…These components use four leading technologies: blockchain for secure data handling, B5G network function virtualizations, edge-cloud computing for scalable and flexible data processing and AI to deliver insights into the model’s data. …”
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Low-Latency Edge-Enabled Digital Twin System for Multi-Robot Collision Avoidance and Remote Control by Daniel Poul Mtowe, Lika Long, Dong Min Kim

“…Traditional approaches, which rely on centralized cloud processing or direct sensor-to-controller communication, are inherently limited by excessive network latency, bandwidth bottlenecks, and a lack of predictive decision-making, thus constraining their effectiveness in real-time multi-agent systems. …”
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Secure edge-based smart grid communication using lightweight authentication modeling with autoencoders and real-world data by Omar Abdullah Saleh, Mesut Cevik

“…Abstract The growing use of edge computing in intelligent grids presents security issues as a result of the limited processing capabilities of edge devices and the intensifying complexities of cyberattacks. …”
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Overview of Startups Developing Artificial Intelligence for the Energy Sector by Naiyer Mohammadi Lanbaran, Darius Naujokaitis, Gediminas Kairaitis, Gabrielė Jenciūtė, Neringa Radziukynienė

“…Adding to the progress of AI, quantum computing (QC) shows great potential despite being a nascent area. …”
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CGADNet: A Lightweight, Real-Time, and Robust Crosswalk and Guide Arrow Detection Network for Complex Scenes by Guangxing Wang, Tao Lin, Xiwei Dong, Longchun Wang, Qingming Leng, Seong-Yoon Shin

“…This research provides practical methodologies for deploying crosswalk and guide arrow detection networks on edge computing devices.…”
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Optimizing quantum convolutional neural network architectures for arbitrary data dimension by Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Ju-Young Ryu, Daniel K. Park, Daniel K. Park

“…., the number of features) of the input data that can be processed, restricting the applicability of QCNN algorithms to real-world data. …”
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Edge-Assisted Label-Flipping Attack Detection in Federated Learning by Nourah S. AlOtaibi, Muhamad Felemban, Sajjad Mahmood

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Innovative SPICE model for VO₂ threshold-switching devices: Bridging insulator-metal transitions and thermal-electrical feedback for neuromorphic applications by Salam A.W. Al-Abassi, Péter Neumann

“…The thermal characteristics of the VO₂ layer are represented utilizing an RC Cauer model, which effectively captures the processes of heat generation and dissipation. A nonlinear relationship between the temperature derived from the thermal circuit and the VO₂ resistance is modelled using a sigmoid function combined with exponential terms. …”
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Innovations at Ukrainian enterprises: use of information and communication technologies by S. Babych, D. Babych

“…In addition, in 2023, Ukrainian companies, using their innovative potential, have implemented an upgrade of work processes and have chosen directions for strategic changes in difficult operating conditions.…”
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Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Xianjun Deng, Jong Hyuk Park

“…Specifically, our survey focuses on studies integrating ML, blockchain, and multi-access edge computing (MEC) for low latency, robust, and dynamic security in V2X networks. …”
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Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…This circumstance negatively affects processing time, critical for systems with high load requirements on the computing platform. …”
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Real-Time Object Detection for Edge Computing-Based Agricultural Automation: A Case Study Comparing the YOLOX and YOLOv12 Architectures and Their Performance in Potato Harvesting S... by Joonam Kim, Giryeon Kim, Rena Yoshitoshi, Kenichi Tokuda

“…Statistical analysis confirmed that YOLOX achieved a significantly higher throughput (107 vs. 45 FPS, <i>p</i> < 0.01) and superior energy efficiency (0.58 vs. 0.75 J/frame) than YOLOv12, meeting real-time processing requirements for agricultural automation. …”
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Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

“…The study implemented a modified transformer architecture with hierarchical attention mechanisms, processing data from 100 commercial buildings across three climate zones over three years (2020–2023). …”
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A Blockchain Footprint for Authentication of IoT-Enabled Smart Devices in Smart Cities: State-of-the-Art Advancements, Challenges and Future Research Directions by Usman Khalil, Mueen-Uddin, Owais Ahmed Malik, Saddam Hussain

“…Hence, lightweight solutions for managing, maintaining, processing, and storing authentication data of IoT-enabled assets are a must. …”
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IoMT and Blockchain Synergy: A Novel Approach to Health Data Validation and Storage by Abbas Syed Muhammad Ali, Sikandar Ali, Khan Ziaullah, Moon-Il Joo, Hee-Cheol Kim

“…We further integrate edge computing principles to optimize data processing efficiency and reduce network latency, establishing a decentralized architecture that prioritizes data integrity and confidentiality. …”
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C3-VQA: Cryogenic Counter-Based Coprocessor for Variational Quantum Algorithms by Yosuke Ueno, Satoshi Imamura, Yuna Tomida, Teruo Tanimoto, Masamitsu Tanaka, Yutaka Tabuchi, Koji Inoue, Hiroshi Nakamura

“…One solution to address this challenge is near-data processing using ultralow-power computational logic within the cryostat. …”
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Variational Approaches for Drug-Disease-Gene Links in Periodontal Inflammation by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Musab Hamed Saeed, Carlos M. Ardila

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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…In this paper, we propose a reservoir computing-based and directed graph analysis pipeline. …”
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A Judging Scheme for Large-Scale Innovative Class Competitions Based on Z-Score Pro Computational Model and BP Neural Network Model by Zhuoting Yu, Hongzhong Deng, Shuaiwen Tang

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A Comparative Analysis of Manual and Computer Constant Comparison Methods: Using Data from a Constructivist Inquiry of Experiences Working with Ethnic Agencies by Suzie Weng

“… A dilemma one may face in analyzing qualitative data is whether to use a manual approach with index cards or a computer data management tool like ATLAS.ti.  This paper compares the two approaches in organizing and analyzing data using the same data set.  The data were collected and first analyzed in a constructivist inquiry course according to the methods laid out by Rodwell (1998).  This process involved unitizing data onto index cards and these cards were then sorted into categories during the constant comparison process.  Later, the same data were linked to ATLAS.ti where they were unitized and categorized simultaneously.  Constant comparison took place when all the data were coded.  A comparison of the two methods allowed the author to determine the strengths and limitations for the various stages of constant comparison. …”
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