LN-DETR: cross-scale feature fusion and re-weighting for lung nodule detection by Dibin Zhou, Honggang Xu, Wenhao Liu, Fuchang Liu

“…These results highlight the superior detection accuracy of the proposed network while maintaining computational efficiency.…”
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Modelling of Green function in a rectangular room based upon the geometrical-filtration model by R. Marczuk, L. Majkut

“…To this end it is necessary to work out an impulse response calculating algorithm for a digital room model. The Green's function is the solution of wave equation then give consideration to source and receiver positions. …”
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SER Performance of Large Scale OFDM-SDMA Based Cognitive Radio Networks by Mostafa Hefnawi

“…This paper proposes an adaptive large scale multiple input multiple output-beamforming scheme (LSMIMO-BF) for uplink (UL) access in broadband wireless cognitive networks with multiple primary users (PUs) and secondary users (SUs) sharing the same spectrum and employing orthogonal frequency-division multiplexing (OFDM). The proposed algorithm seeks the optimal transmit/receive weight vectors that maximize the UL MIMO channel capacity for each cognitive user while controlling the interference levels to PUs. …”
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Hyperelastic behavior of cable gland silicon shroud: finite element analysis by Ganesh Bhoye, Ishant Jain

“…The results demonstrated the silicon shroud’s excellent radial expansion capacity, achieving a maximum observed displacement of 7.5 mm while maintaining induced stresses within acceptable limits. …”
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A variable threshold ring signature scheme for privacy protection in smart city blockchain applications by Guo Hongzhi, Qin Haowen

“…We further introduce an optimized batch-verification algorithm that cuts the number of expensive pairing checks per signature from O(n) to $$O(1) + n$$ O ( 1 ) + n , dramatically improving throughput. …”
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A data-driven, cloud-based approach for forest aboveground biomass mapping using GEDI and other earth observation data: an ecoregion-specific Investigation across the state of Alab... by Janaki Sandamali, Lana L. Narine

“…GEDI data preparation was performed locally, while the analysis was conducted within GEE using the Random Forest algorithm. …”
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Constructing Fair Destination-Oriented Directed Acyclic Graphs for Multipath Routing by Katarzyna Kalinowska-Górska, Fernando Solano Donado

“…In this paper, a few requirements for constructing a “fair” DODAG are identified in the context of multipath routing. An optimization algorithm that tries to find an equitable solution according to these requirements is also presented. …”
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DSGD++: Reducing Uncertainty and Training Time in the DSGD Classifier through a Mass Assignment Function Initialization Technique by Aik Tarkhanyan, Ashot Harutyunyan

“…We present a method for the Dempster-Shafer Gradient Descent (DSGD) algorithm that significantly reduces training time—by a factor of 1.6—and also reduces the uncertainty of each rule (a condition on features leading to a class label) by a factor of 2.1, while preserving accuracy comparable to other statistical classification techniques. …”
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Fluid Dynamics of Biomimetic Pectoral Fin Propulsion Using Immersed Boundary Method by Ningyu Li, Yumin Su

“…The results show that there is an optimal phase angle and Strouhal number for this complicated fin. …”
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Contribution of Daylighting to Saving Electrical Energy in Cameroon: Case Study of a Classroom in a Public School by Merimé Souffo Tagueu, Lionelle Adelaїde Madjou Tanekou, Benoît Ndzana

“…In our case study, by dividing the classroom into 99 measurement points, we collect data on illuminance levels by simulation using DIALux software and by direct measurement using a luxmeter. Applying the optimization algorithm designed for this purpose brings the average illuminance level down to 300lx following the EN12464 standard. …”
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Improved Hadamard Decomposition and Its Application in Data Compression in New-Type Power Systems by Zhi Ding, Tianyao Ji, Mengshi Li

“…Second, we develop an enhanced gradient descent algorithm incorporating adaptive regularization and early stopping mechanisms, achieving superior convergence performance in optimizing the Hadamard approximation. …”
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A Scalable and Coordinated Energy Management for Electric Vehicles Based on Multiagent Reinforcement Learning Method by Ruien Bian, Xiuchen Jiang, Guoying Zhao, Yadong Liu, Zhou Dai

“…The proposed method can achieve close results to the traditional optimization methods, while it takes less than one second to take control actions, making it is more suitable for real-time online energy management. …”
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Research and application of flexible starting method for metro trains with permanent magnet motors based on PI control by LIU Zhicheng, CHEN Xijun, HE Ye, HU Hui

“…This solution focuses on optimizing cooperation among various subsystems during the starting process. …”
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Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System by Kumuthawathe Ananda-Rao, Steven Taniselass, Afifah Shuhada Rosmi, Aimi Salihah Abdul Nasir, Nor Hanisah Baharudin, Indra Nisja

“…The system is modeled and simulated using MATLAB/Simulink, incorporating the PV system, MPPT algorithm, and models for the PV module and boost converter. …”
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An Explainable Fuzzy Framework for Assessing Preeclampsia Classification by Matías Salinas, Daira Velandia, Leondry Mayeta-Revilla, Ayleen Bertini, Marvin Querales, Fabian Pardo, Rodrigo Salas

“…<b>Methods:</b> The model integrates fuzzy decision trees with a genetic algorithm to identify a compact and relevant set of rules, optimized for both accuracy and interpretability. …”
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Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model by Moses Oluwatobi Fajobi, Olumuyiwa Ajani Lasode, Adekunle Akanni Adeleke, Peter Pelumi Ikubanni, Ayokunle Olubusayo Balogun, Prabhu Paramasivam

“…The Gaussian membership function (Gauss-mf) was implemented for the fuzzification of input variables, while the hybrid algorithm was selected for the learning and mapping of the input-output dataset. …”
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Automatic Calculation of Average Power in Electroencephalography Signals for Enhanced Detection of Brain Activity and Behavioral Patterns by Nuphar Avital, Nataniel Shulkin, Dror Malka

“…Results indicate that the IIR Chebyshev filter, configured with a 0.5% passband ripple and a fourth-order design, outperformed the alternatives by effectively reducing average power while preserving signal fidelity. This optimized filtering approach significantly improves the accuracy of neural signal visualizations, thereby facilitating the creation of detailed brain activity maps. …”
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Video Temporal Grounding with Multi-Model Collaborative Learning by Yun Tian, Xiaobo Guo, Jinsong Wang, Bin Li, Shoujun Zhou

“…Concurrently, the mechanism for generating pseudo-labels is optimized using the CLIP model’s prior knowledge, bolstering both the accuracy and coherence of these labels while efficiently discarding extraneous temporal fragments. …”
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Research on Mine-Personnel Helmet Detection Based on Multi-Strategy-Improved YOLOv11 by Lei Zhang, Zhipeng Sun, Hongjing Tao, Meng Wang, Weixun Yi

“…In the complex environment of fully mechanized mining faces, the current object detection algorithms face significant challenges in achieving optimal accuracy and real-time detection of mine personnel and safety helmets. …”
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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

“…This can facilitate the inverse-free fast deep learning algorithm of AD-TSK while maintaining interpretability. …”
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