Study on the influence of complex fault geometry on earthquake risk assessment based on physical simulation: a case study of the Zhujiangkou Fault in the Guangdong–Hong Kong–Macao... by Houyun Yu, Yilong Li, Xiuwei Ye, Wenqiang Wang, Chunjing Wang, Zhenguo Zhang, Wei Zhang, Xiaofei Chen

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A Comprehensive Survey on Digital Twin: Focusing on Security Threats and Requirements by Hyeran Mun, Kyusuk Han, Ernesto Damiani, Hyun Ku Yeun, Tae-Yeon Kim, Luigi Martino, Chan Yeob Yeun

“…Digital Twin (DT) aims to seamlessly replicate physical objects or processes in virtual environments, garnering attention for supporting diverse intelligent management services such as monitoring, analysis, and control. …”
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Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation by Osman Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai

“…Finally, we demonstrate the effectiveness of a pool-based AL protocol in expediting the discovery process by executing multiple computational and experimental campaigns in each iteration. …”
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Cognitive approach to developing the intelligent modules of organizational and technical systems by V. M. Trembach

“…The aim of the study is intelligent modules of organizational-technical systems (OTS) for solving the task of purposeful behavior taking into account features to operate the object in a rapidly changing external environment. A widely used computing paradigm contains inherent symbolic submissions of information and their processing with algorithms focused on the logic and combinatorics of procedures. …”
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Ranking of post-quantum cryptography digital signature schemes using evaluation based on distance from average solutions by Anitha Kumari Kumarasamy, Jaishriram Pichaikutty Muthu, Darshan Kirthic Muthusamy Sadhasivam, Pranavv Aaditya Mohanraj

“… With the development of quantum computing technology, the current cryptographic systems face significant threats. …”
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SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things by Mimonah Al Qathrady, Safi Ullah, Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Samar M. Alqhtani, Muazzam A. Khan, Baraq Ghaleb

“…The proposed architecture has a self‐attention layer to calculate the input attention and convolutional neural network (CNN) layers to process the assigned attention features for prediction. …”
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Improving Far-Edge Device Management in IoT Applications Using Kubernetes by Carlos Resende, Joao Oliveira, Filipe Sousa, Waldir Moreira, Luis Almeida Sousa

“…Internet of Things (IoT) driven digitalization is shifting data processing to the edge, reducing the burden of constant cloud communication. …”
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Weighted explainable federated learning for privacy-preserving and scalable energy optimization in autonomous vehicular networks by Muhammad Saleem, Ali Arishi, Muhammad Sajid Farooq, M.A. Khan, Khan M. Adnan

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Radiomic-based approaches in the multi-metastatic setting: a quantitative review by Caryn Geady, Hemangini Patel, Jacob Peoples, Amber Simpson, Benjamin Haibe-Kains

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WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification by Taminul Islam, Toqi Tahamid Sarker, Khaled R. Ahmed, Cristiana Bernardi Rankrape, Karla Gage

“…Abstract Weed detection and classification using computer vision and deep learning techniques have emerged as crucial tools for precision agriculture, offering automated solutions for sustainable farming practices. …”
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Decentralized knowledge assessment by Kai Sun, Liyi Zhou, Yike Guo

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Expedite Privacy-Preserving Emergency Communication Scheme for VANETs by Long Chen, Xuedan Jia, Lixia Meng, Liangmin Wang

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Developments and Drivers of Low-Cost Smartphone Instrumentation by Md Arafat Hossain, John Canning

“…Over the past decade, smartphones and various offshoot wearables have become indispensable consumer devices attracting considerable attention beyond telecommunications providing accessible edge computing and data generation into the Internet. Particularly, sensing technologies are rising, and advanced analytics both at the edge and exploiting online computing and camera imaging are growing. …”
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A comprehensive survey of the machine learning pipeline for wildfire risk prediction and assessment by Naveed Ejaz, Salimur Choudhury

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An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

“…This setup achieves a dynamic power consumption of just 23 mW and delivers a performance acceleration of <inline-formula> <tex-math notation="LaTeX">$155 \times $ </tex-math></inline-formula> compared to equivalent computations on a 6th-generation Intel i5 processor. …”
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A Hard Real-Time Kernel for CPIoT Systems With Safety Features in Rust by Nayancy Gupta, Gourinath Banda, Neminath Hubballi, K. V. Srinivas

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Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN by Syed Waqad Ali, Muhammad Munaf Rashid, Muhammad Uzair Yousuf, Sarmad Shams, Muhammad Asif, Muhammad Rehan, Ikram Din Ujjan

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Low-Scalability Distributed Systems for Artificial Intelligence: A Comparative Study of Distributed Deep Learning Frameworks for Image Classification by Manuel Rivera-Escobedo, Manuel de Jesús López-Martínez, Luis Octavio Solis-Sánchez, Héctor Alonso Guerrero-Osuna, Sodel Vázquez-Reyes, Daniel Acosta-Escareño, Carlos A. Olvera-Olvera

“…Artificial intelligence has experienced tremendous growth in various areas of knowledge, especially in computer science. Distributed computing has become necessary for storing, processing, and generating large amounts of information essential for training artificial intelligence models and algorithms that allow knowledge to be created from large amounts of data. …”
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All‐Electric Mimicking of Synaptic Plasticity Based on the Noncollinear Antiferromagnetic Device by Cuimei Cao, Wei Duan, Xiaoyu Feng, Yan Xu, Yihan Wang, Zhenzhong Yang, Qingfeng Zhan, Long You

“…Abstract Neuromorphic computing, which seeks to replicate the brain's ability to process information, has garnered significant attention due to its potential to achieve brain‐like computing efficiency and human cognitive intelligence. …”
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The changing face of the Arctic: four decades of greening and implications for tundra ecosystems by Gerald V. Frost, Uma S. Bhatt, Matthew J. Macander, Logan T. Berner, Donald A. Walker, Martha K. Raynolds, Rúna Í. Magnússon, Annett Bartsch, Jarle W. Bjerke, Jarle W. Bjerke, Howard E. Epstein, Bruce C. Forbes, Scott J. Goetz, Elizabeth E. Hoy, Elizabeth E. Hoy, Stein R. Karlsen, Timo Kumpula, Trevor C. Lantz, Mark J. Lara, Efrén López-Blanco, Paul M. Montesano, Paul M. Montesano, Christopher S. R. Neigh, Ingmar Nitze, Kathleen M. Orndahl, Taejin Park, Taejin Park, Gareth K. Phoenix, Adrian V. Rocha, Brendan M. Rogers, Gabriela Schaepman-Strub, Hans Tømmervik, Mariana Verdonen, Mariana Verdonen, Alexandra Veremeeva, Anna-Maria Virkkala, Christine F. Waigl

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