Quantum Edge Detection and Convolution Using Paired Transform-Based Image Representation by Artyom Grigoryan, Alexis Gomez, Sos Agaian, Karen Panetta

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A survey on deep learning in UAV imagery for precision agriculture and wild flora monitoring: Datasets, models and challenges by Lorenzo Epifani, Antonio Caruso

“…For these reasons, research literature is rich of works that face problems in Precision Agriculture and Wild Flora Monitoring domains with machine learning/computer vision methods applied to UAV imagery. …”
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Autoregressive integrated moving average model–based secure data aggregation for wireless sensor networks by Hongtao Song, Shanshan Sui, Qilong Han, Hui Zhang, Zaiqiang Yang

“…Nodes in a wireless sensor network are normally constrained by hardware and environmental conditions and face challenges of reduced computing capabilities and system security vulnerabilities. …”
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Generalizable Solar Irradiance Prediction for Battery Operation Optimization in IoT-Based Microgrid Environments by Ray Colucci, Imad Mahgoub

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Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction by Sarah Ayad, Hamdi A. Al-Jamimi, Ammar El Kheir

“…However, medical datasets often face challenges like irrelevant features and class imbalance, complicating accurate predictions. …”
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Review of the Research on Underwater Explosion Ice-Breaking Technology by Xiao Huang, Zi-Xian Zhong, Xiao Luo, Yuan-Dong Wang

“…However, significant limitations persist in modeling sea ice heterogeneity, experimental replication of polar conditions, and computational efficiency. Future advancements require multiscale fluid–structure interaction models integrating brine migration effects, enhanced experimental diagnostics for transient processes, and optimized numerical algorithms to enable reliable predictions for engineering applications.…”
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VMDU-net: a dual encoder multi-scale fusion network for polyp segmentation with Vision Mamba and Cross-Shape Transformer integration by Peng Li, Jianhua Ding, Chia S. Lim

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TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds by Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker

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Inverse-design topology optimization of magnonic devices using level-set method by Andrey A. Voronov, Marcos Cuervo Santos, Florian Bruckner, Dieter Suess, Andrii V. Chumak, Claas Abert

“…While promising for analog, Boolean, and neuromorphic computing, current implementations face memory limitations that hinder the design of complex systems. …”
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Reliability-Based Topology Optimization Considering Overhang Constraints for Additive Manufacturing Design by Fahri Murat, Irfan Kaymaz, Abdullah Tahir Şensoy

“…AM offers intricate component production but faces challenges due to support structures. Incorporating overhang constraints in topology optimization enables self-supporting structures. …”
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Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting by Jaemyung Shin, Ryan Kang, Kinam Hyun, Zhangkang Li, Hitendra Kumar, Kangsoo Kim, Simon S. Park, Keekyoung Kim

“…In this study, a high‐throughput cellular droplet bioprinter is designed, capable of printing over 50 cellular droplets simultaneously, producing the large dataset required for effective machine learning training. Among the five algorithms evaluated, the multilayer perceptron model demonstrates the highest prediction accuracy, while the decision tree model offers the fastest computation time. …”
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A novel hybrid fuzzy logic and federated learning framework for enhancing cybersecurity and fraud detection in IoT-enabled metaverse transactions by Amjad Rehman, Kamran Ahmad Awan, Amal Al-Rasheed, Anees Ara, Fahad F. Alruwaili, Shaha Al-Otaibi, Tanzila Saba

“…The optimized federated learning model for IoT devices implements lightweight algorithms with hierarchical aggregation that reduce computational and communication overhead to enhance fraud detection capabilities. …”
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Optimizing frequency stability with adaptive fast frequency reserves and Wide-Area Monitoring Systems by Bwandakassy Elenga Baningobera, Irina Oleinikova, Kjetil Uhlen

“…The Nordic 44 power system model is used with OPAL-RT for real-time simulation, Real-Time Automation Controller (RTAC), and protective relays to monitor, automate, protect, and control the system. The adaptive algorithm computes the frequency deviation, adjusts the control gain in real time, and recalculates the FFR activation thresholds and volumes accordingly. …”
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Social Media Management System for Educational Promotion by Yerik Afrianto Singgalen, Dorien Kartikawangi, Birgitta Narindri Rara Winayu

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Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data by Uicheon Lee, Seonah Lee, Kyonghoon Kim

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Blockchain Technology in Supply Chain Management Prospects and Challenges for Implementation by Peshattiwar Atish, P Mohanraj, A Anand Gerald, S Dharmalingam, Tiwari Mohit, G Swarnalakshmi

“…Existing implementations are facing significant challenges, such as considerable computational expense, scalability constraints, issues with interoperability, energy waste, and regulatory compliance. …”
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A Design of Irregular Grid Map for Large-Scale Wi-Fi LAN Fingerprint Positioning Systems by Jae-Hoon Kim, Kyoung Sik Min, Woon-Young Yeo

“…Because of the millions of APs in urban areas, radio fingerprints are seriously contaminated and confused. Moreover, the algorithmic advances for positioning face computational limitation. …”
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GAT-APG: Graph Attention Network-Based Attack Path Generation for Security Simulation by Min Geun Song, Jaewoong Choi, Huy Kang Kim

“…Existing attack path generation methods face limitations in dynamic simulation environments due to their reliance on static network models and computational inefficiencies when network configurations change frequently. …”
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Inductive Power Transfer Coil Misalignment Perception and Correction for Wirelessly Recharging Underground Sensors by John Sanchez, Juan Arteaga, Cody Zesiger, Paul Mitcheson, Darrin Young, Shad Roundy

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Blockchain based solution for secure information sharing in pharma supply chain management by Adla Padma, Mangayarkarasi Ramaiah

“…The registration phase computes the identification number upon the hashed private key along with the Edwards-curve digital signature algorithm (EdDSA) for all the stakeholders. …”
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