Neural network-based segmentation model for breast cancer X-ray screening by N. I. Rozhkova, P. G. Roitberg, A. A. Varfolomeeva, M. M. Mazo, A. N. Dobrenkii, D. S. Blinov, E. V. Sushkov, O. N. Deryabina, A. I. Sokolov

“…To develop segmentation neural network model for breast plain radiographs analysis with subsequent study of its clinical effectiveness. Materials and methods. The artificial intelligence-based system was developed to analyze X-ray mammography, аnd included a segmentation neural network with the U-Net architecture, a classification neural architecture ResNet50 with outputting the result using gradient boosting. 15486 X-ray cases were used for training, estimation of diagnostic accuracy and validation of the developed segmental model. …”
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Multidimensional image morphing-fast image-based rendering of open 3D and VR environments by Simon Seibt, Bastian Kuth, Bartosz von Rymon Lipinski, Thomas Chang, Marc Erich Latoschik

“…However, achieving a balance between the quality and efficiency of high-performance 3D applications and virtual reality (VR) remains challenging. …”
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A Recruiting Maneuver Algorithm in Patients with Early Acute Respiratory Distress Syndrome by D. I. Levikov, D. A. Timashkov, A. Yu. Chervov, A. V. Biryukov, S. N. Dondokov

“…Objective: to evaluate the efficiency of a recruiting maneuver (RM) and adjustment of positive end-expiratory pressure (PEEP) in patients with early acute respiratory distress syndrome (ARDS). …”
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Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

“…The average of their subjective scores was used as the target output for the model, which was the mean opinion score (MOS) for image quality. …”
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Towards a Digital Twin for Gas Turbines: Thermodynamic Modeling, Critical Parameter Estimation, and Performance Optimization Using PINN and PSO by Jian Tiong Lim, Achnaf Habibullah, Eddie Yin Kwee Ng

“…Three ANN models with different structures are developed to predict TIT, SFC, and turbine power output (GTPO), achieving high <i>R</i>² scores of 94.03%, 82.27%, and 97.59%, respectively. …”
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Physically unclonable functions with controlled propagation delay by V. N. Yarmolik, A. A. Ivaniuk, N. N. Shynkevich

“…The proposed new approach to the construction of physically uncloneable functions, based on the control of signal delay through logical elements, has shown its efficiency and promise. The effect of the influence on the delays of signal propagation through the logic element, both the number of its inputs, along which the input signals change, leading to a change in the output signal, and their composition, is experimentally confirmed. …”
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Implementation of a Zero-Forcing Precoding Algorithm Combined with Adaptive Beamforming Based on WiMAX System by Hyunwook Yang, Seungwon Choi

“…Through a hardware implementation of the proposed method, we verified the feasibility of the proposed method for realizing a practical WiMAX base station to utilize the channel resources as efficiently as possible.…”
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Implementation of modified trapezoidal commutation scheme for speed control of 1 kW BLDC motor by Ratih Mar'atus Sholihah, Fahrul Fahrul, Adhika Kurniawan, Irwan Mahmudi

“…On the other hand, a perfect sinusoidal commutation method is very complicated. Therefore, this research proposes a simple modified scheme of trapezoidal commutation circuits that can produce sinusoidal BLDC output voltage. …”
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Modeling and application of production metering for electric pump wells without downhole pressure measurement devices. by Yongcang Ren, Da Guo, Yizhen Sun, Bao Zhang, Jianxin Shen, Yingbin Liu, Yinglin Zhang, Guoxiang Zhang, Jinsong Yao, Xueling Du

“…To address the issues of low frequency and high costs associated with the current manual production measurement for ESP wells in the Tarim Oilfield, a study was conducted to develop a digital production measurement method for ESP wells. Based on the principle of energy conservation, where the input power of the pump equals the output power of the motor, and incorporating parameters such as surface tubing and casing pressure, motor current, and motor/ pump performance curves, with viscosity correction of the pump performance curve, a corrected power calculation method was proposed. …”
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Adaptive Optimization of Traffic Signal Timing via Deep Reinforcement Learning by Zibo Ma, Tongchao Cui, Wenxing Deng, Fengyao Jiang, Liguo Zhang

“…With rapid development of the urbanization, how to improve the traffic lights efficiency has become an urgent issue. The traditional traffic light control is a method that calculates a series of corresponding timing parameters by optimizing the cycle length. …”
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Design and Optimization of a Large-Air-Gap Voice Coil Motor with Enhanced Thermal Management for Magnetic Levitation Vibration Isolation in a Vacuum by Junren Mu, He Zhang

“…Key challenges arising from a large air gap, including pronounced leakage flux and a reduced flux density, were addressed by employing the equivalent magnetic charge method and the image method for the modeling of permanent magnets. …”
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Sustainable and green extraction of citrus peel essential oil using intermittent solvent-free microwave technology by Yuhao Xie, Longdi Zhang, Wenting Wu, Jiahao Xie, Boliang Gao, Yiwen Xiao, Du Zhu

“…Results from single-factor experiments and response surface method optimization indicate that the optimal parameters for SFME are a power of 660 W, a duration of 20 min, and a water content of 60%, yielding an essential oil output of 3.47%. …”
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A New Test Point Insertion Using Weight Adjusted Grouping by Jaehyun Kim, Hyemin Kim, Jongho Park, Sangjun Lee, Sungho Kang

“…To address these limitations, a new weight adjusted grouping based efficient test point insertion method (WAG) is proposed in this paper to achieve high test coverage with less test time and area overhead. …”
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Smooth switching control of air–ground amphibious robot based on EZMP and integrator initial value by Jie Duan, Heming Zhao, Chungui Zhou, Fei Xie, Zhiling Peng, Zhibo Pei, Kaijie Yue

“…Finally, the efficiency of the proposed control method is verified by comparing it with other control strategies through simulation experiments.…”
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Development of a power recovery-based dynamic loading system for full-size drill rods in coal mines by Jing ZHANG, Jie WANG

“…The active motor drives the drill rod and the loading motor to rotate, while the loading motor returns the output flow to the active motor, thus achieving torque loading and power recovery. …”
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Analysis and Prediction of Wear in Interchangeable Milling Insert Tools Using Artificial Intelligence Techniques by Sonia Val, María Pilar Lambán, Javier Lucia, Jesús Royo

“…Each model is evaluated independently, and this comparative analysis aims to determine which modeling strategy best captures the intricate interactions between various process variables affecting tool wear. This method ensures greater efficiency and accuracy than conventional techniques, providing a scalable, resource-efficient solution for reliable and insightful tool wear predictions. …”
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BEV-CAM3D: A Unified Bird’s-Eye View Architecture for Autonomous Driving with Monocular Cameras and 3D Point Clouds by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz

“…While LiDAR-based models dominate due to accurate depth sensing, their cost and sparse outputs have driven interest in camera-based systems. …”
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Design and Implementation of an EMG-Based Communication Interface for Enhancing Interaction with Deaf Individuals by Oussama EL GHOUL, Amina BEN HAJ AMOR, Mohamed JEMNI

“…Traditional communication methods often fall short in providing efficient and seamless interaction with the deaf community. …”
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Performance Comparison of Facial Emotion Recognition: Introducing a Model within the Driver Assistance Framework based on Deep Learning with LBP Feature Extraction for In-Vehicle A... by Ehsan Ghasemi, Seyyed Mohammad Razavi, Sajad Mohamadzadeh

“…Using 3 RGB channels, the extracted features from these three regions are fed into RessNet-50 and EfficientNet deep networks. The outputs of the two deep learning models' classifiers are combined and integrated using two ensemble methods: ensemble maximum voting and ensemble mean. …”
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Leveraging Large Language Models and Agent-Based Systems for Scientific Data Analysis: Validation Study by Dale Peasley, Rayus Kuplicki, Sandip Sen, Martin Paulus

“…MethodsAn agent-based system based on large language models was designed to analyze and contextualize complex scientific datasets using a “plan-and-solve” framework. …”
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