Model Decomposition-Based Approach to Optimizing the Efficiency of Wireless Power Transfer Inside a Metal Enclosure by Romans Kusnins, Sergejs Tjukovs, Janis Eidaks, Kristaps Gailis, Dmitrijs Pikulins

“…The generalized scattering matrices are computed using the full-wave simulator Ansys HFSS for three sub-models. …”
Get full text

UWB Positioning Integrity Estimation Using Ranging Residuals and ML Augmented Filtering by Mihkel Tommingas, Muhammad Mahtab Alam, Ivo Muursepp, Sander Ulp

“…Although ML augmented filtering is computationally slower than non-ML filtering (e.g., ordinary and extended Kalman filter), it is still faster than using CS for UWB integrity estimation. …”
Get full text

Successful treatment of bilateral empyema with bilateral fistulae using free intercostal muscle flap by Junko Okamura, Naohiro Kobayashi, Takahiro Yanagihara, Shinji Kikuchi, Yukinobu Goto, Yukio Sato

“…Closure of fistulae is an essential process for the treatment of empyema with fistulae. …”
Get full text

Postgraduate medical education in the current context by S. Ya. Tazina, Ch. S. Pavlov, T. A. Fedorova, N. A. Semenenko, Yu. V. Ilina, A. V. Mamonov, T. I. Sotnikova

“…The paper  analyzes the educational  process at  the  Department  of Therapy of the  I.M. …”
Get full text

Energy Saving in Building Air-Conditioning Systems Based on Hippopotamus Optimization Algorithm for Optimizing Cooling Water Temperature by Yiyang Zheng, Yaping Gao, Jianwen Gao

“…This optimization is achieved through a coupled computational methodology integrating building envelope dynamics with central air-conditioning system performance. …”
Get full text

Energy Consumption Modeling for Heterogeneous Internet of Things Wireless Sensor Network Devices: Entire Modes and Operation Cycles Considerations by Canek Portillo, Jorge Martinez-Bauset, Vicent Pla, Vicente Casares-Giner

“…In these scenarios, the modeling process becomes more challenging as an efficient orchestration of the sensor nodes must be achieved to guarantee a successful operation in terms of medium access, synchronization, and energy conservation. …”
Get full text

Time Course of Morphological Changes in Red Blood Cells and Banked Whole Blood Biochemical Parameters in Different Storage Periods by V. V. Moroz, A. M. Golubev, E. K. Kozlova, A. V. Afanasyev, O. E. Gudkova, I. S. Novoderzhkina, Yu. V. Marchenkov, A. N. Kuzovlev, Yu. V. Zarzhetsky, A. I. Kostin, D. P. Volkov, V. N. Yakovlev

“…Blood biochemical composition was examined using an i-stat 1® analyzer M: 300. Statistical processing was made with a STATISTICA 7 program. Results. …”
Get full text

Tomato leaf disease detection method based on improved YOLOv8n by Ming Chen, Chunping Wang, Chengwei Liu, Ying Yu, Yuan Yuan, Jiaxuan Ma, Kaisheng Zhang

“…During the upsampling process, we adopt the Dysample upsampling operator, optimizing the quality of feature map reconstruction and improving detection resolution through a refined upsampling strategy. …”
Get full text

NFE-YOLO: A Lightweight and Efficient Detection Network for Low, Slow, and Small Drones by Dan Tian, Chen Wang, Dong Zhou, Xin Yan, Liaoyuan Zeng

“…Furthermore, edge inference devices typically have limited computational power, which hampers real-time processing capabilities. …”
Get full text

TMTS: A Physics-Based Turbulence Mitigation Network Guided by Turbulence Signatures for Satellite Video by Jie Yin, Tao Sun, Xiao Zhang, Guorong Zhang, Xue Wan, Jianjun He

“…Comprehensive experiments on synthetic and real-world turbulence-degraded satellite videos demonstrate TMTS’s superiority, achieving 0.27 dB PSNR and 0.0015 SSIM improvements over the DATUM baseline while maintaining practical computational efficiency. By bridging turbulence physics with deep learning, our approach provides both performance enhancements and interpretable restoration mechanisms, offering a viable solution for operational satellite video processing under atmospheric disturbances.…”
Get full text

RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

“…The proposed CAD system completely eliminates the need for extensive user intervention, enabling the processing of large amounts of image data with robust and highly accurate results.…”
Get full text

CONTEMPORARY METHODS FOR MYOCARDIAL FUNCTION EVALUATION IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY BEFORE AND AFTER SURGICAL TREATMENT by E. Yu. Van, T. Yu. Kulagina, E. V. Berezina, Yu. V. Frolova, S. A. Abugov, S. L. Dzemeshkevitch

“…To everyone included the echocardiography was performed using the Vivid E9 machine (GE, USA) with multifrequent sensor 3,5-5,0 MHz. The data was then processed by computer-based Multivox program. The "flow-volume" loop of the single cardiac cycle was reconstructed using numeric data for everyone of patients; also the data on myocardium segment shift were used.Results. …”
Get full text

A New Pallet-Positioning Method Based on a Lightweight Component Segmentation Network for AGV Toward Intelligent Warehousing by Bin Wu, Shijie Wang, Yi Lu, Yang Yi, Di Jiang, Mengmeng Qiao

“…To overcome the challenge of redundant computations in existing semantic segmentation models, which are unable to balance spatial details and high-level semantic information, this network utilizes a dual-branch attention mechanism within an encoder–decoder architecture to effectively capture spatial details. …”
Get full text

Thermodynamic, Economic, and Environmental Multi-Criteria Optimization of a Multi-Stage Rankine System for LNG Cold Energy Utilization by Ruiqiang Ma, Yingxue Lu, Xiaohui Yu, Bin Yang

“…Not only were thermodynamic and economic indicators considered, but also the environmental impact of candidate working fluids was taken into account in the evaluation process. The optimal operating points of the system were determined using non-dominated sorting genetic algorithm II and TOPSIS methods, while employing Gray Relational Analysis was applied to compute the gray relational coefficients of candidate working fluids at the optimal operating points. …”
Get full text

Comparison of Various GAN‐Based Bone Suppression Imaging for High‐Accurate Markerless Motion Tracking of Lung Tumors in CyberKnife Treatment by Zennosuke Mochizuki, Masahide Saito, Toshihiro Suzuki, Koji Mochizuki, Hikaru Nemoto, Hiroshi Onishi, Hiroshi Takahashi

“…X‐ray projections were captured from left and right oblique 45° angles and divided into nine segments, producing 1120 images. These images were processed through six pre‐trained GAN models—CycleGAN, DualGAN, CUT, FastCUT, DCLGAN, and SimDCL—yielding bone‐suppressed images on the XCAT phantom (BSIphantom). …”
Get full text

Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…<b>Objective:</b> This paper aims to propose a computationally efficient, reliable, and transparent machine learning-based framework for the classification of Alzheimer’s disease patients. …”
Get full text

Prospective analysis of CKM element |Vcd| and D+-meson decay constant from leptonic decays D+ → ℓ+ν by Ya-Xiong Wang, Hai-Jiang Tian, Yin-Long Yang, Tao Zhong, Hai-Bing Fu

“…In which the D+-meson decay constant fD+ is an important input parameter in the process. To enhance the accuracy of our calculations for fD+, we consider the quark propagator and vertex up to dimension-six within the framework of background field theory. …”
Get full text

Performance Enhancement of Dual-Input Frequency-Periodic Load Modulated Power Amplifier at 1&#x2013;5.7-GHz Bandwidth With Co-Designed Biasing Network by Takuma Torii, Yuji Komatsuzaki, Shintaro Shinjo, Ryo Ishikawa

Get full text

Application of M5 algorithm of decision tree in simulation and investigation of effective factors of erosion in rangelands and forests by Hatem Ghaleb Maabreh, Khlood Waheeb, Abrar Ryadh, Saja Basheer Abdulghani, Zainab Jamal Hamoodah, Nisreen Yasir Jasim, Fakhri Alajeeli, Ali H. O. Al Mansor, Mikhail Andreevich

Get full text

Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

Get full text