DATE on the Edge: On-Site Oil Spill Detection and Thickness Estimation Using Drone-Based Radar Backscattering by Bilal Hammoud, Charbel Bou Maroun, Norbert Wehn

“…Moreover, we implement the new models on a hardware compute platform to verify the feasibility of edge computing on platforms like drones for effective monitoring and tactical response. …”
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Cropland suitability assessment evolution and outlooks by Shuai Bai, Yujia Chen, Bowen Fu, Meiqi Wu, Tonghui Yu, Xufeng Cui

“…Cropland suitability assessment methods are more and more diversified, scientific, and objective; among them, the multi-criteria decision-making method is the most widely used. (3) In the context of intelligence, the future of cropland suitability assessment should follow the development guideline of combination, union, and integration and actively guide the attempted exploration of blockchains, quantum computing, and other emerging technologies in the field so as to promote the innovative development of cropland suitability assessment. …”
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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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Flexibly Reconfigurable Kerr Micro-Comb Based on Cascaded Si₃N₄ Micro-Ring Filters by Jieyu Yang, Guang Chen, Lidan Lu, Jianzhen Ou, Chao Mei, Yingjie Xu, Wenbo Bo, Peng Wang, Xinyi Li, Lianqing Zhu

“…Due to the significance of flexibly controlled optical sources with high-repetition rates and multiple channels for system-on-chip, our proposal has potential in photonic integrated circuit systems, such as high-density photonic computing and large-capacity optical communications, in the future.…”
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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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Quenching of the weak axial coupling derived from the scattering of stopped-pion neutrinos on 127I by M. Hellgren, J. Suhonen

“…The need for quenching of the weak axial-vector coupling in calculations involving weak processes in nuclei is a well-known and long-standing problem arising from several contributing factors. …”
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Predicting Nottingham grade in breast cancer digital pathology using a foundation model by Jun Seo Kim, Jeong Hoon Lee, Yousung Yeon, Doyeon An, Seok Jun Kim, Myung-Giun Noh, Suehyun Lee

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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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Performance Analysis: Discovering Semi-Markov Models From Event Logs by Anna Kalenkova, Lewis Mitchell, Matthew Roughan

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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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Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure Measurements by Soojeong Lee, Mugahed A. Al-antari, Gyanendra Prasad Joshi

“…We obtained uncertainty using Gaussian process regression (GPR). The CI obtained from the GPR model is computed using the distribution of BP estimates, which provides relatively wide CIs. …”
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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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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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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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Mean-Median Compromise Method: A Novel Deepest Voting Function Balancing Range Voting and Majority Judgment by Ruffin-Benoît M. Ngoie, Selain K. Kasereka, Jean-Aimé B. Sakulu, Kyandoghere Kyamakya

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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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