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Suggested Topics within your search.
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ROLE OF COMPUTED TOMOGRAPHY WITH PNEUMOGASTROGRAPHY IN DETERMINING THE REGRESSION GRADE OF LOCALLY ADVANCED GASTRIC CANCER AFTER NEOADJUVANT CHEMOTHERAPY
Published 2021-10-01“…The study of imaging biomarkers based on quantitative and qualitative data reflecting the histopathological features of the tumor and lymph nodes can help determine the tumor regression grade and optimize treatment.Conclusion. The proposed algorithm for assessing the response grade of locally advanced gastric cancer to chemotherapy using imaging biomarkers is a promising prognostic marker and requires further study.…”
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Efficient workflow scheduling using an improved multi-objective memetic algorithm in cloud-edge-end collaborative framework
Published 2025-08-01“…First, a multi-objective optimization model incorporating task execution constraints and priority constraints is developed, and complexity analysis confirms its NP-hard nature. Second, the IMOMA algorithm enhances population diversity through dynamic opposition-based learning, introduces local search operators tailored for bi-objective optimization, and maintains Pareto optimal solutions via an elite archive. …”
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Risk Assessment of Supplier R&D Investment Based on Improved BP Neural Network
Published 2025-06-01“…By leveraging the ability of particle swarm optimization (PSO), whale optimization algorithm (WOA), and genetic algorithm (GA) to search for global optimal solutions, the BP neural network is improved to avoid becoming trapped in local optimal solutions and enhance the model’s generalization ability. …”
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Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation
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Real-world implementation and adaptation to local settings of first trimester preeclampsia screening in Italy: a systematic review
Published 2021-08-01“…There is an urgent need for research studies on specific local populations focussing on subtle details capable of maximizing PE screening uptake. …”
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Estimating cover image for universal payload region detection in stego images
Published 2022-09-01“…LBP operator capable of capturing local inter-relationships within neighborhood coordinates, have been used to compare corresponding blocks in input stego image and estimated cover image for unraveling payload locations. …”
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Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells
Published 2025-09-01“…The algorithm completes 50 iterations in every test scenario and achieves the top Friedman Ranking score of 1. …”
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Electric vehicles charging station allocation based on load profile forecasting and Dijkstra’s algorithm for optimal path planning
Published 2025-07-01“…Furthermore, drones with lightweight edge computing algorithms enabled real-time data exchange between CSs and EVs, providing up-to-date information on slot availability and local crowd conditions. …”
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Pipeline corrosion rate prediction model using BP neural network based on improved sparrow search algorithm
Published 2024-07-01“…However, most of the existing prediction models are based on the BP neural network, which has drawbacks such as slow convergence rates and a tendency to fall into local optima. Methods This paper proposes a pipeline corrosion rate prediction model using an optimized BP neural network based on an improved Sparrow Search Algorithm to address the aforementioned disadvantages. …”
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A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm
Published 2024-07-01“…This resistance increases the security of the concealed information because it is challenging for uninvited parties to detect the presence of encrypted text. This research suggests a novel method for text encryption inside video utilizing the Salsa20 encryption algorithm and Harris Corner Detection. …”
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Research on Incipient Fault Location of Cable Based on Double-ended Current Measurement
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Efficient Task Scheduling Approach in Edge-Cloud Continuum based on Flower Pollination and Improved Shuffled Frog Leaping Algorithm
Published 2024-02-01“…An efficient scheduling strategy for distributing workloads among virtual machines in the edge-cloud continuum data center is mandatory to ensure the fulfilment of QoS requirements for both customer and service provider. Existing research used metaheuristic algorithm to solve tak scheduling problem, however, must of the existing metaheuristics used suffers from falling into local mina due to their inefficiency to avoid unfeasible region in the solution search space. …”
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Research on Construction and Updating of Global Grid Maps in Mining Truck Autonomous Driving Scenarios
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