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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework
Published 2025-07-01“…In a subsequent step, Machine Learning (ML) algorithms are employed to classify these tumors as malign or benign cases. …”
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SC-Route: A Scalable Cross-Layer Secure Routing Method for Multi-Hop Inter-Domain Wireless Networks
Published 2025-05-01“…To address these limitations, we propose a new routing method—the Secure Cross-Layer Route—designed for multi-hop inter-domain wireless networks to achieve unified optimization of security, delay, and throughput. First, we construct a multi-objective optimization model that integrates authentication delay, link load, and resource states, enabling balanced trade-offs between security and transmission performance in dynamic conditions. …”
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2745
Studying the influence of correction codes on coherent reception of M-PSK signals in the presence of noise and harmonic interference
Published 2024-08-01“…The methods of statistical radio engineering, optimal signal reception theory and computer simulation modeling were used.Results. …”
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2746
A novel edge-feature attention fusion framework for underwater image enhancement
Published 2025-04-01Get full text
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2747
Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles
Published 2025-08-01“…Finally, the hybrid nonlinear whale optimization algorithm with sine cosine (SCWOA) is implemented for the optimum choice of the hyperparameters involved in the GCN technique. …”
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2748
Identifying boundary conditions of an oil reservoir flow model from well pressure measurements. Part 1: Homogeneous reservoir
Published 2024-12-01“…The stability of the algorithm for solving the inverse problem was analyzed against pressure measurement errors. …”
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Distributionally robust hybrid energy management in smart mining using process-coupled primal-dual mirror descent
Published 2025-07-01“…Mining safety regulations are integrated via chance constraints, embedding safety-critical margins related to pressure, airflow, and gas concentration. To alleviate the computational burden caused by nested risk formulations, a Primal-Dual Reformulated Distributionally Robust Process Scheduling (PDR-DRPS) algorithm is proposed. …”
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Prescribing the Future: The Role of Artificial Intelligence in Pharmacy
Published 2025-02-01Get full text
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2754
Vibration control and noise attenuation strategies via acoustic metamaterial in railway transportation: a state-of-the-art review
Published 2025-07-01“…Additionally, integrating optimization algorithms and artificial intelligence (AI) enhances AMM design precision and scalability. …”
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Investigations into Picture Defogging Techniques Based on Dark Channel Prior and Retinex Theory
Published 2025-07-01“…At the same time, the atmospheric light intensity is accurately calculated by the Otsu algorithm and edge constraints, which effectively suppresses the halo artifacts and color deviation of the sky region in the dark channel a priori defogging algorithm. …”
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2756
AMNED: An Efficient Framework for Spiking Neuron Coding in AirComp Federated Learning
Published 2025-01-01“…In advancing future ACFL technologies, Over-the-Air Computation (AirComp) has emerged as a groundbreaking innovation. …”
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Long short-term memory (LSTM) networks for precision prediction of Schottky barrier photodiode behavior at different illumination levels
Published 2025-07-01“…At the same time, the remaining dataset was divided into 80% for training and 20% for validation. The optimization algorithm was selected as Adaptive Moment Estimation (Adam), and the root mean squared error (RMSE) served as the loss function. …”
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Multi-Agent Mapping and Tracking-Based Electrical Vehicles with Unknown Environment Exploration
Published 2025-03-01Get full text
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Disaggregated and Distributed Near-Real-Time RIC for Large Scale User-Centric RAN
Published 2025-01-01“…Our proposed divide-and-conquer (D&C) and heuristic-greedy (HG)-based algorithms significantly reduce computational complexity while maintaining near-optimal performance. …”
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