Evaluation of calcification detectability in female breasts by ultra sound by L. FILIPCZYŃSKI, T. KUJAWSKA, G. ŁYPACEWICZ

“…The calculations show that the minimum diameter of a detectable calcification Φ = 0.4 mm for a normal breast. …”
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Characterizations of Stability of Error Bounds for Convex Inequality Constraint Systems by Wei, Zhou, Théra, Michel, Yao, Jen-Chih

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An analysis of unconventional grid sizes for wind farm layout optimization using a genetic algorithm by Mohandes Mohamed, Khan Salman A., Rehman Shafiqur, Al-Shaikhi Ali, Iqbal Kashif

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Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms by Nurezayana Zainal, Mohanavali Sithambranathan, Umar Farooq Khattak, Azlan Mohd Zain, Salama A. Mostafa, Ashanira Mat Deris

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Mathematical Models for Management Information Systems on Digital Platforms: from Resource Management to Demand Forecasting by Viktor Godliuk

“…The use of maximum flow and minimum cut algorithms for efficient management of network resources and minimization of delays is described. …”
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NEURAL NETWORKS OF THE FINAL RING BASED ON THE REDUCTION SCHEME OF THE POSITION-MODULAR-CODE TRANSFORMATION by N. I. Chervyakov, A. A. Kolyada, N. A. Kolyada, V. A. Kuchukov, S. U. Protasenia

“…The article studies the problem of creating a neural network of modular computing structures for highperformance expressions in the field of information security. …”
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Triple-Q state in magnetic breathing kagome lattice by Hangyu Zhou, Manuel dos Santos Dias, Shijian Bao, Hanchen Lu, Youguang Zhang, Weisheng Zhao, Samir Lounis

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Estimating similarity and distance using FracMinHash by Mahmudur Rahman Hera, David Koslicki

“…We establish conditions under which such an estimation is sound and recommend a minimum scale factor s for accurate results. Experimental evidence supports our theoretical findings. …”
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Photoacoustic Spectroscopy Combined with a Multipass Circular Cell to Detect Low Concentrations of Ammonia by Oscar E. Bonilla-Manrique, Alejandro Pérez Gonzalez-Banfi, Jorge Viñuela Pérez, Gabriele Dessena

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Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL by Yuntao Hu, Ming Chen, Haowen Sun, Yinlu Wang, Yihan Cang

“…The energy consumption minimization is achieved by jointly optimizing the task offloading proportions, transmit power allocations, and computational resource distributions while ensuring the overall deadline constraints and the minimum processing size requirements in each scheduling cycle. …”
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Aflatoxin Contamination of Maize from Small-Scale Farms Practicing Different Artisanal Control Methods in Kitui, Kenya by Winfred Muthini Kyalo, Joshua Orungo Onono, Jackson Nyarongi Ombui, Peter Baaro Gathura, Johnson Nduhiu Gitahi, Penina Afwande Ateku

“…There was a significant difference in total aflatoxin levels in maize obtained from farms which practiced minimum tillage compared to those practicing deep tillage (p = 0.015). …”
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Hybrid signal algorithm detection in NOMA 5G waveform: Transforming smart healthcare connectivity by reducing latency by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

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Constrained-SIoU: A Metric for Horizontal Candidates in Multi-Oriented Object Detection by Yanan Zhang, Haichang Li, Rui Wang, Mengya Zhang, Xiaohui Hu

“…However, the horizontal minimum bounding box (HMBB) of the ground-truth box is generally used for the IoU calculation in practice, bringing about biased results. …”
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AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

“…Additionally, we construct a hybrid attention enhancement module, integrating convolutional operations with a self-attention mechanism to improve feature discrimination without compromising computational efficiency. Furthermore, we propose an optimized bounding box regression loss function, the Minimum Point Distance Intersection over the Union (MPDIoU), which establishes multi-dimensional geometric metrics to accurately characterize discrepancies in overlap area, center distance, and scale variation between predicted and ground truth boxes. …”
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Dependence of energy-speed characteristics of pneumatic drive on initial parameters of additional volume under counterpressure braking by Andrey N. Sirotenko, Svetlana A. Partko, Bakir Ala Saed

“…Materials and Methods. A computing two-factor experiment is planned and conducted. …”
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Collaborative Beamforming with DQN for Interference Mitigation in 5G and Beyond Networks by Alaelddin F. Y. Mohammed, Salman Md Sultan, Sakshi Patni

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Prediction of InSAR deformation time-series using improved LSTM deep learning model by Rupika Soni, Mohammad Soyeb Alam, Gajendra K. Vishwakarma

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Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset by Muhammad Wasim, Imran Ahmed, Naveed Abbas, Tanzila Saba, Faten S. Alamri, Alex Elyassih, Amjad Rehman

“…Experimental results demonstrate that the proposed 3D-CNN model outperforms other variants, achieving the highest accuracy of 95%, minimum computational cost of 13.3 GFLOPs, and low memory overhead of 18,464 KB. …”
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Euclidean Distance-Based Tree Algorithm for Fault Detection and Diagnosis in Photovoltaic Systems by Youssouf Mouleloued, Kamel Kara, Aissa Chouder, Abdelhadi Aouaichia, Santiago Silvestre

“…Then, the minimum and the maximum distances of each class are extracted and ordered in ascending order. …”
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An improved human evolutionary optimization algorithm for maximizing green hydrogen generation in intelligent energy management system (IEMS) by Metwally Rashad, Mohamed S. Abdellatif, Asmaa H. Rabie

“…Additionally, results demonstrate the superior performance of the proposed IEMS in terms of maximizing hydrogen production, minimizing energy costs, and enhancing the overall efficiency and sustainability of the fog computing environment. According to the maximum iteration numbers of 100, 200, and 500 and the population's size of 500, 1000, and 1500, IHEO can provide the minimum cost (fitness) value, mean, and standard deviation at least execution time using KU-HMG Dataset.…”
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