Mathematical analysis of spectral estimation algorithms resolution by V. A. Kakora, A. V. Grinkevich

“…The classical methods of evaluating the energy spectra of discretized deterministic and stochastic processes are generally based on the use of procedures that use the fast Fourier transformation (FFT). …”
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Testing NeuralGCM's capability to simulate future heatwaves based on the 2021 Pacific Northwest heatwave event by Shiheng Duan, Jishi Zhang, Céline Bonfils, Giuliana Pallotta

“…Abstract AI-based weather and climate models are emerging as accurate and computationally efficient tools. Beyond weather forecasting, they also show promise to accelerate storyline analyses. …”
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Deep Learning Approach for Estimating Workability of Self-Compacting Concrete from Mixing Image Sequences by Zhongcong Ding, Xuehui An

“…The proposed model integrates features of the convolutional neural network and long short-term memory and is trained to extract features and compute an estimate. The performance of the method is evaluated using the testing set. …”
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A Weather-Adaptive Convolutional Neural Network Framework for Better License Plate Detection by Utsha Saha, Binita Saha, Md Ashique Imran

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Safeguarding against Cyber Threats: Machine Learning-Based Approaches for Real-Time Fraud Detection and Prevention by Vikas R. Shetty, Pooja R., Rashmi Laxmikant Malghan

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Automatic Change Detection of High Resolution Remote Sensing Images Based on Level Set Evolution and Support Vector Machine Classification by YAN Ming, CAO Guo, XIA Meng

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Robust People Tracking Using an Adaptive Sensor Fusion between a Laser Scanner and Video Camera by Yeong Nam Chae, Yeong-Jae Choi, Yong-Ho Seo, Hyun S. Yang

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Enhancing Remote Sensing Image Quality through Data Fusion and Synthetic Aperture Radar (SAR): A Comparative Analysis of CNN, Lightweight ConvNet, and VGG16 Models by Desynike Puspa Anggreyni, Indriatmoko, Aniati Murni Arymurthy, Andie Setiyoko

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Feature-Based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy by Feng Wang, M. Cenk Gursoy, Senem Velipasalar

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Elliptic Curve Cryptography with Machine Learning by Jihane Jebrane, Akram Chhaybi, Saiida Lazaar, Abderrahmane Nitaj

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Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs by Li Lu, Muhammad Jawad Hussain, Guoxing Luo, Zhigang Han

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Effective Prediction of Monthly Heat Transfer Characteristics in a Thin-Layer Cascade Reactor Subjected to Outdoor Conditions by Shehnaz Akhtar, Haider Ali, Cheol Woo Park

“…The Nusselt number and the monthly average water temperature were computed to investigate the heat transfer phenomena between the TLC reactor and atmosphere. …”
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Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition by Rakesh Sengupta

“…Abstract This paper presents a computational model of visual working memory (VWM) that simulates the processing of spatially distributed objects and their features. …”
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An Improved GPU-accelerated MPM and Application in Landslide Modelling by WANG Bin, CHEN Penglin, WANG Di, XU Shunxin, XU Zikai, WU Jindong

“…The software's performance is evaluated by simulating aluminum rod collapse experiments and the slope failure process. …”
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A Review of Developments and Metrology in Machine Learning and Deep Learning for Wearable IoT Devices by Minh Long Hoang

“…It also examines how algorithm selection influences model performance metrics and computational efficiency, which are critical for real-time and resource-constrained applications. …”
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Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China by Yanna Gao, Hong Dong, Liujun Hu, Fanhong Zeng, Yuqun Gao, Zhuonan Huang, Shaohua Wang, Shaohua Wang

“…The DRL approach is benchmarked against a traditional optimization implementation using the Gurobi solver. Computational experiments focus on wind-rich coastal regions of Guangdong Province, evaluating both solution quality (coverage and utilization metrics) and computational efficiency under varying problem sizes.ResultsThe DRL algorithm achieves objective values comparable to or better than those from the Gurobi-based method, while substantially reducing computation time for large problem instances. …”
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On the physical layer security of correlated Weibull fading channels with transmitter side information in the presence of a passive eavesdropper by Ali Mohammad Khodadoust, Mario Eduardo Rivero-Ángeles, Víctor Barrera-Figueroa

“…., negative, positive, and independent). The numerically evaluated results, validated through corresponding computer simulations, provide valuable insights into the impact of channel correlation and SI at the transmitter on the system’s PLS performance.…”
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A Literature Review on Cybersecurity Risks and Challenges Assessments in Virtual Power Plants: Current Landscape and Future Research Directions by Razan Alajlan, M. M. Hafizur Rahman, Mohammed Al-Naeem, Mohammed Amin Almaiah

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A Novel Method Defends against the Path-Based DoS for Wireless Sensor Network by Dong Chen, Zhenjiang Zhang, Fan-Hsun Tseng, Han-Chieh Chao, Li-Der Chou

“…WSNs are significantly different from the traditional network architecture due to its wireless communication, energy limitation, and computation constraint and environment of the application. …”
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Privacy-Preserving Detection of Tampered Radio-Frequency Transmissions Utilizing Federated Learning in LoRa Networks by Nurettin Selcuk Senol, Mohamed Baza, Amar Rasheed, Maazen Alsabaan

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