An integration of segmentation technique on edge devices for license plate recognition by Duy Dieu Nguyen, Tan Sang Vo, Manh Hung Le, Minh Son Nguyen

“…To address these limitations, we propose a solution that deploys license plate recognition algorithms on edge computing devices, reducing the load on both infrastructure and centralised systems. …”
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A Real-Time Fish Detection System for Partially Dewatered Fish to Support Selective Fish Passage by Jonathan Gregory, Scott M. Miehls, Jesse L. Eickholt, Daniel P. Zielinski

“…Open source software and edge computing design principles were employed to ensure that the system is capable of fast data processing. …”
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Anomaly Detection in Elderly Health Monitoring via IoT for Timely Interventions by Cosmina-Mihaela Rosca, Adrian Stancu

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Data‐Driven Dynamic Modal Bias Analysis and Correction for Earth System Models by S. P. McGowan, N. L. Jones, W. S. P. Robertson, S. Balasuriya

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AI and IoT-powered edge device optimized for crop pest and disease detection by Jean Pierre Nyakuri, Celestin Nkundineza, Omar Gatera, Kizito Nkurikiyeyezu, Gervais Mwitende

“…The system consists of a high-definition camera for real-time plant image acquisition, a Raspberry-Pi 5 integrated with the Tiny-LiteNet model for edge processing, and a GSM/GPRS module for cloud communication. …”
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Performance-portable Binary Neutron Star Mergers with AthenaK by Jacob Fields, Hengrui Zhu, David Radice, James M. Stone, William Cook, Sebastiano Bernuzzi, Boris Daszuta

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Embedded Hardware-Efficient FPGA Architecture for SVM Learning and Inference by B. B. Shabarinath, Muralidhar Pullakandam

“…Edge computing allows to do AI processing on devices with limited resources, but the challenge remains high computational costs followed by the energy limitations of such devices making on-device machine learning inefficient, especially for Support Vector Machine (SVM) classifiers. …”
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Novel Research on a Finite-Difference Time-Domain Acceleration Algorithm Based on Distributed Cluster Graphic Process Units by Xinbo He, Shenggang Mu, Xudong Han, Bing Wei

“…This paper introduces a novel approach by incorporating Graphic Process Units (GPUs) into an FDTD algorithm. It leverages the Compute Unified Device Architecture (CUDA) along with OpenMPI and the NVIDIA Collective Communications Library (NCCL) to establish a parallel scheme for the FDTD algorithm in distributed cluster GPUs. …”
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To the problem of simulation modelling of abnormal and emergency flight situations in the process of Mi-8MTV helicopter pilot simulation training by P. N. Rybkin, Yu. M. Сhinynchin

“…The article examines a method of obtaining the required initial data for adequate mathematical modelling of nonstationary processes in the Mi-8MTV helicopter computer and flight simulators. …”
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A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning by Md. Hasan Imam Bijoy, Md. Jueal Mia, Md. Mahbubur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…The proposed models were trained on five pre-processed CKD datasets using four robust feature selection techniques, including Lasso, Fisher score, Information Gain, and Relief. …”
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans by Abdullah Al-Saleh, Ghanshyam G. Tejani, Shailendra Mishra, Sunil Kumar Sharma, Seyed Jalaleddin Mousavirad

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Enhanced efficiency and stability in indoor organic photovoltaics with spray-deposited, liquid-processable MoS₂ and WS₂ hole transport layers by Marinos Tountas, Katerina Anagnostou, Christos Polyzoidis, Evangelos Sotiropoulos, Emmanuel Kymakis

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Assessment of Left Ventricular Function in Cardiac MSCT Imaging by a 4D Hierarchical Surface-Volume Matching Process by Mireille Garreau, Antoine Simon, Dominique Boulmier, Jean-Louis Coatrieux, Hervé Le Breton

“…The global optimization of the correspondences is realized with a multiresolution process. Results obtained on simulated and real data show the capabilities to extract clinically relevant global and local motion parameters and highlight new perspectives in cardiac computed tomography imaging.…”
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Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes by Zhaoyang Wang, Shuo Wang, Damien Ernst, Chenguang Xiao

“…However, real-world applications often involve multiple, conflicting objectives—such as predictive performance and computational cost—that must be jointly optimized. …”
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Monitoring and Optimization of CFB Bed Temperature in the Flexible Process: A Hybrid Framework of Deep Learning Model and Mechanism Model by Lei Han, Lingmei Wang, Enlong Meng, Yushan Liu, Shaoping Yin

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Mechanisms and Modelling of Effects on the Degradation Processes of a Proton Exchange Membrane (PEM) Fuel Cell: A Comprehensive Review by Krystof Foniok, Lubomira Drozdova, Lukas Prokop, Filip Krupa, Pavel Kedron, Vojtech Blazek

“…Despite their potential, durability challenges under real-world automotive operating conditions—arising from chemical, mechanical, catalytic, and thermal degradation processes intensified by contaminants—limit their broader adoption. …”
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A Hybrid Genetic Algorithm with Tabu Search Using a Layered Process for High-Order QAM in MIMO Detection by Taehyoung Kim, Gyuyeol Kong

“…In addition, a layered detection process is applied simultaneously with the proposed algorithm, which not only improves the bit error rate performance but also reduces the computational complexity. …”
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Eliminating nanometer-scale asperities on metallic thin films through plasma modification processes studied by molecular dynamics and AFM by Tomoyuki Tsuyama, Tatsuki Oyama, Yu Azuma, Haruhisa Ohashi, Masahiro Irie, Ayumi Yamakawa, Shoko Uetake, Takayuki Konno, Takahiro Ukai, Kohei Ochiai, Nobuyuki Iwaoka, Atsushi Hashimoto, Yoshishige Okuno

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Analysis of the M/M/N/N Queue with Two Types of Arrival Process: Applications to Future Mobile Radio Systems by Peter J. Smith, Abdulla Firag, Pawel A. Dmochowski, Mansoor Shafi

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Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures by Yu Qiao, Marius Grad, Aida Nonn

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