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5021
Network Partitioning Domain Knowledge Multiobjective Application Mapping for Large-Scale Network-on-Chip
Published 2014-01-01“…This paper proposes an application mapping technique that incorporates domain knowledge into genetic algorithm (GA). The initial population of GA is initialized with network partitioning (NP) while the crossover operator is guided with knowledge on communication demands. …”
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5022
SECURE VERTEX-EDGE DOMINATION IN HYPERCUBE AND GRID GRAPHS: APPLICATIONS OF CYBERSECURITY IN BANKING FOR SECURE TRANSACTIONS
Published 2025-06-01“…Hence this research proposed a secure vertex-edge domination (SVED) in hypercube and grid graphs, exploring their applications in optimizing cybersecurity measures for secure transaction monitoring. …”
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5023
Forced Oscillation Detection via a Hybrid Network of a Spiking Recurrent Neural Network and LSTM
Published 2025-04-01“…The proposed hybrid network is trained using the backpropagation-through-time (BPTT) optimization algorithm, with adjustments made to address the discontinuous gradient in the SRNN. …”
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5024
A Preventive-Corrective Scheme for Ensuring Power System Security During Active Wildfire Risks
Published 2025-01-01“…This tool is then used to operate a coordinated unit commitment/optimal power flow model that is designed to adapt to varying risk levels associated with wildfires. …”
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5025
An Efficient Anomalous Sound Detection System for Microcontrollers
Published 2024-11-01“…In this paper, we propose an ASD system that is efficiently optimized for both software and hardware considerations regarding edge intelligence. …”
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5026
Dynamic Control and Analysis of Dual Active Bridge Converters in Grid-Connected PV-BESS
Published 2025-07-01“…The Perturb & Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm optimized power extraction from the PV array, while the DAB converter employed Single Phase Shift (SPS) control for efficient, bidirectional energy management. …”
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5027
An Efficient Method for Offset Mitigation in Free-Space Optical Systems
Published 2019-01-01“…With the increase of dc offset <italic>d</italic>, the system error rate is significantly reduced and more approaching <italic>d</italic> = 0 (i.e., no dc offset). The proposed algorithm effectively mitigates the dc offset impact on the system and the BER is significantly improved while the MSE is reduced to 50% of the traditional state-of-the-art method. …”
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5028
Designing a glycemic control strategy to maintain glucose homeostasis and prevent hypoglycemia for subjects with type 1 diabetes
Published 2018-09-01“…To obtain the second tuning set, the controller parameters are optimized through a sequential quadratic programming algorithm. …”
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5029
Integrating feedback control for improved human-structure interaction analysis
Published 2025-02-01“…While well-established in robotics and automation engineering, these control algorithms represent a novel and transformative approach when applied to HSI. …”
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5030
Advanced thermal management in radiology equipment: Numerical and semi-analytical analysis of flat heat pipes
Published 2025-09-01“…These insights offer valuable guidance for optimizing heat pipe design and integration, supporting more efficient and reliable thermal management in radiological equipment.…”
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5031
Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review*
Published 2024-12-01“…Among these applications, predictive modeling for process optimization and enhanced ore sorting and classification stand out, with ANN being the most frequently employed algorithm. …”
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5032
Uninterrupted Connectivity Using Conditional Time Split Energy Extraction With Beamforming System for Disaster Affected Wireless Networks
Published 2020-01-01“…Promising beamforming (BF) architecture with Conditional Time split-Energy Extraction (CT-EE) is proposed to maximize the Energy Efficiency while optimizing the Mean Square Error (MSE) and Achievable Sum Rate (ASR). …”
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5033
Efficient Material Flow and Storage Space Determination in Automated Distribution Centers
Published 2024-01-01“…Items with relatively large demand levels have scenario 3 as the optimal one. Results also showed that the model reduces both total costs and stacker crane utilization while improving system flexibility.…”
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5034
“Bias Correction Method” for Regional Correction Experiment of Warm Season Rainstorm in Zhejiang
Published 2025-01-01“…This study employs the K-means clustering algorithm to partition warm-season precipitation in Zhejiang Province into distinct regions. …”
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5035
Short-Term Power Prediction for Wind Farm and Solar Plant Clusters Based on Machine Learning Method
Published 2020-03-01“…Firstly, the machine learning-based Bisecting K-Means(BKM) clustering algorithm is used to reasonably divide the wind farms and PV stations in the region into clusters; Secondly, based on the correlation between of the historical power data of each power station and the total historical power data in the region, a representative power station is selected for each region; Thirdly, after optimizing and correcting the NWP(numerical weather prediction) model of each representative power station, a short-term power prediction framework model is established using BP neural network based on the cluster division of wind farms and PV power plants. …”
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5036
SATELLITE ALTIMETER DATA FILTERING AND SMOOTHING IN THE COURSE OF GROUND-BASED RETRACKING
Published 2019-04-01“…The paper subject is study of retracking algorithms of altimeter data transmitted from the space vehicle to the ground segment.Methods and materials. …”
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5037
QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption
Published 2024-12-01“…In this paper, we propose the QuantumGS-box, which is a dynamic S-box for high-speed cloud-based storage encryption generated by bit shuffling with a genetic algorithm and a quantum random number generator (QRNG). …”
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5038
DIGEST: Fast and Communication Efficient Decentralized Learning With Local Updates
Published 2024-01-01“…Gossip algorithms (both synchronous and asynchronous versions) suffer from high communication cost, while random-walk based learning experiences increased convergence time. …”
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5039
Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train
Published 2024-11-01“…Track irregularities have the greatest influence on the safety of train curve operation, followed by curve radii and curve superelevations, while running speeds exhibit little influence.…”
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5040
Road-Adaptive Precise Path Tracking Based on Reinforcement Learning Method
Published 2025-07-01“…The framework first analyzes the obstacles around the vehicle and plans an obstacle-free reference path with the minimum curvature using the hybrid A* algorithm. Next, based on the generated reference path, the current state of the vehicle, and the vehicle motor energy efficiency diagram, the optimal speed is calculated in real time, and the vehicle dynamics preview point at the future moment—specifically, the look-ahead distance—is predicted. …”
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