Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder by Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal

“…To overcome these limitations, we propose a Graph Signal Processing (GSP)-based framework that integrates spectral-domain features with topological descriptors to model brain connectivity more comprehensively. …”
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A new process for producing of commercial nitrocellulose with chipping technology of sheet wood pulp by Ali Khalili Gashtroudkhani, Mohammad Dahmardeh ghalehno, Saeed Soltan Abadi, Maryam Pouyani, Ali Salimi

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Implementation of the geometrical problem in CNC metal cutting machine by Erokhin V.V.

“…The article deals with the tasks of managing the production process (technological process and technological equip-ment), the most detailed analysis of the implementation of the geometric problem in CNC machines. …”
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Goos–Hänchen shift of inelastically scattered spin-wave beams and cascade nonlinear magnon processes by Krzysztof Sobucki, Igor Lyubchanskii, Maciej Krawczyk, Paweł Gruszecki

“…In the splitting and confluence processes, the new spin-wave beams are generated with frequencies shifted by the edge-mode frequency. …”
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LGP-SA：Graph partition algorithm based on simulated annealing in large-scale graph processing by Jinfeng XU, Yihong DONG, Shiyi WANG, Xianmang HE, Huahui CHEN

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Visual Detection on Aircraft Wing Icing Process Using a Lightweight Deep Learning Model by Yang Yan, Chao Tang, Jirong Huang, Zhixiong Cen, Zonghong Xie

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The Effects of Post-Processing and Geometric Parameters on the Compressive Strength of Additively Manufactured Resin Lattice Structures by Chance Hattrick

“…Compressive strength is a crucial property in load-bearing design, yet the combined effects of post-processing and geometry on resin-based lattice structures remain underexplored. …”
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Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform by Hoang Duc Do, Quang Minh Vien, Khang Hoang Vinh Nguyen, Can Duy Le

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Research on the cooperative offloading strategy of sensory data based on delay and energy constraints by Peiyan YUAN, Saike SHAO, Ran WEI, Junna ZHANG, Xiaoyan ZHAO

“…The edge offloading of the internet of things (IoT) sensing data was investigated.Multiple edge servers cooperatively offload all or part of the sensing data initially sent to the cloud center, which protects data privacy and improves user experience.In the process of cooperative offloading, the transmission of the sensing data and the information exchange among edge servers will consume system resources, resulting in the cost of cooperation.How to maximize the offloading ratio of the sensing data while maintaining a low collaboration cost is a challenging problem.A joint optimization problem of sensing data offload ratio and cooperative scale satisfying the constraints of network delay and system energy consumption was formulated.Subsequently, a distributed alternating direction method of multipliers (ADMM) via constraint projection and variable splitting was proposed to solve the problem.Finally, simulation experiments were carried out on MATLAB.Numerical results show that the proposed method improved the network delay and energy consumption compared to the fairness cooperation algorithm (FCA), the distributed optimization algorithm (DOA), and multi-subtasks-to-multi-servers offloading scheme (MTMS) algorithm.…”
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Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules by Yunguo Yu, Cesar A. Gomez-Cabello, Svetlana Makarova, Yogesh Parte, Sahar Borna, Syed Ali Haider, Ariana Genovese, Srinivasagam Prabha, Antonio J. Forte

“…We tested LLaMA 2′s performance in interpreting complex clinical process models, such as Mayo Clinic Care Pathway Models (CPMs), and providing accurate clinical recommendations. …”
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A novel voting measure for identifying influential nodes in complex networks based on local structure by Haoyang Li, Xing Wang, You Chen, Siyi Cheng, Dejiang Lu

“…The proposed algorithm draws inspiration from human voting behavior and expresses the attractiveness of nodes to their first-order neighborhood using the weights of connecting edges. Similarity between nodes is introduced into the voting process, further enhancing the accuracy of the method. …”
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Intelligent hierarchical federated learning system based on semi-asynchronous and scheduled synchronous control strategies in satellite network by Qiang Mei, Rui Huang, Duo Li, Jingyi Li, Nan Shi, Mei Du, Yingkang Zhong, Chunqi Tian

“…Additionally, the cloud server selection algorithm and the edge-client semi-asynchronous control strategy minimize clients’ waiting time, improving the overall efficiency of the FL process. …”
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Regional computing approach for educational big data by Bader Alshemaimri, Afzal Badshah, Ali Daud, Amal Bukhari, Raed Alsini, Omar Alghushairy

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Joint Caching and Computation in UAV-Assisted Vehicle Networks via Multi-Agent Deep Reinforcement Learning by Yuhua Wu, Yuchao Huang, Ziyou Wang, Changming Xu

“…Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC), which deploys computing and storage resources at the network edge, offers a promising solution. …”
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Automatic identification of tokamak plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) with multi-task learning neural network by Guo-Hong Deng, Peng-Cheng Xie, You-Wen Sun, Hui-Hui Wang, Jian Xu, Qun Ma, Shuai Gu, Hui Sheng, Hua Yang, Gao-Ting Chen

“…The identification of plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) is carried out using a multi-task learning neural network (MTL-NN) in EAST. The identification process can be divided into two tasks: identifying the operational modes and detecting the edge localized modes (ELMs). …”
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Artificial Intelligence for Wireless Communications: The InSecTT Perspective by Ramiro Samano Robles, Gowhar Javanmardi, Christoph Pilz, Przemyslaw Kwapisiewicz, Mateusz Rzymowski, Lukasz Kulas, Luca Davoli, Laura Belli, Gianluigi Ferrari, Bernd-Ludwig Wenning, Bugra Gonca, R. Venkatesha Prasad, Ashutosh Simha, Markku Kiviranta, Ilkka Moilanen, Sean Robinson, Gennaro Cirillo, Mujdat Soyturk, Yavuz Selim Bostanci, Leander B. Hormann

“…This article presents an overview of how Artificial Intelligence (AI) and edge technology have been used to improve wireless connectivity in multiple industrial Use Cases (UCs) of the EU project “Intelligent Secure Trustable Things” (InSecTT). …”
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Study on the detection and suppression methods of carbon laying defects in auto fiber placement (AFP) process by Yixuan Xie, Zhiqiang Liu, Yinqi Li, Yueyue Zong

“…This paper proposes an optimal control strategy for process parameters aimed at addressing layup defects, achieving defect recognition and localization, and maintaining temperature stability on the actual layup surface. …”
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ANALYSIS OF DEFORMATION PROCESSES IN THE LITHOSPHERE FROM GEODETIC MEASUREMENTS BASED ON THE EXAMPLE OF THE SAN ANDREAS FAULT by Yury V. Gabsatarov

“…Analysis of data from permanent GPS observation stations located in tectonically active regions provides for direct observation of deformation processes of the earth's surface which result from elastic interaction of the lithospheric plates and also occur when accumulated stresses are released by seismic events and postseismic processes.This article describes the methodology of applying the regression analysis of time series of data from GPS-stations for identification of individual components of the stations’ displacements caused by the influence of various deformation processes. …”
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ANALYSIS OF WORK ACCIDENTS DURING THE PLUMBING INSTALLATION PROCESS USING THE FAULT TREE ANALYSIS METHOD by Sofian Bastuti, Rini Alfatiyah

“…Considering the serious consequences of workplace accidents both in terms of health and economy, there are six types of workplace accidents in the plumbing installation process: foot crushed by a pipe, hand cut by a cutting tool blade, eyes exposed to welding smoke, burnt by hot welding slag, sparked by friction between iron and a cutting blade, and leg scratched by the edge of a pipe. …”
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Implementation of Kolmogorov–Arnold Networks for Efficient Image Processing in Resource-Constrained Internet of Things Devices by Anargul Shaushenova, Oleksandr Kuznetsov, Ardak Nurpeisova, Maral Ongarbayeva

“…This work contributes to the advancement of AI-driven IoTs applications by proposing optimized KAN-based implementations suitable for edge computing scenarios. The findings have important implications for IoTs deployment in smart infrastructure, environmental monitoring, and industrial automation where efficient image processing is critical.…”
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