Silicon Nitride-on-Insulator Photonics Polarisation Convertor by D. M. Mokhovikov, E. S. Barbin, T. G. Nesterenko, A. A. Talovskaya, A. S. Myrzakhmetov, I. V. Kulinich, P. F. Baranov, D. P. Il’yaschenko

“…The optimised polarization converter exhibited a high level of polarization rotation efficiency, reaching 96.3 %, and an output power of 98.32 %. …”
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Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management by M. Sivaramkrishnan, Jaganathan Subramani, Mohammad Mukhtar Alam, Liew Tze Hui

“…Abstract The change in transportation efficiency in the last several years has seen several new engine technologies like EVs and HEVs being more prevalent. …”
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Numerical Simulation of Treatment Capacity and Operating Limits of Alkali/Surfactant/Polymer (ASP) Flooding Produced Water Treatment Process in Oilfields by Jiawei Zhu, Mingxin Wang, Keyu Jing, Jiajun Hong, Fanxi Bu, Zhihua Wang

“…The breakthrough of ASP chemical agents poses challenges to the green and efficient separation of oilfield produced water. In this paper, sedimentation separation of produced water was simulated using the Eulerian method and the RNG k–ε model. …”
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A Robust Scheme of Vertebrae Segmentation for Medical Diagnosis by Faisal Rehman, Syed Irtiza Ali Shah, Naveed Riaz, Syed Omer Gilani

“…The results reveal that our proposed method is robust over multiple segmentations and outperformed the recently published state of art methods.…”
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STUDY OF A FLOWING-TYPE HEAT TRANSFER INTENSIFIER USED AS PART OF A THERMOELECTRIC SEA WATER DESALINATION SYSTEM by Sh. A. Yusufov, A. R. Bazaev, B. A. Bilalov

“…Objectives To analyse the thermophysical processes in the thermoelectric heat transfer intensifier operating as part of a desalination system based on semiconductor thermoelectric converters.Method A mathematical model for the design of a desalter containing a thermoelectric heat exchanger, which provides for the use of heat flows by natural thermal conductivity due to so-called heat channels, is proposed. …”
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Enhancing PV feed-in power forecasting through federated learning with differential privacy using LSTM and GRU by Pascal Riedel, Kaouther Belkilani, Manfred Reichert, Gerd Heilscher, Reinhold von Schwerin

“…Data-driven methods facilitate efficient supply and demand management in smart grids, but predicting solar power remains challenging due to weather dependence and data privacy restrictions. …”
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Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria by Bo Sun, Yongquan You, Zhiyong Zhang, Chao Li

“…In this paper, a mathematical model of photovoltaic cells is firstly established, the output characteristics of photovoltaic cells are analyzed, the main factors that affect the output efficiency of photovoltaic cells are obtained, and it is proved that the most important factor that affects the output power is the light intensity. …”
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Modification of Microbial Fuel Cell Anodes via Nitric Acid and Hydrogen Peroxide Treatment for Electrogenic Biofilm Formation by Gladysheva M.S., Molodkina N.R.

“…Key findings include quantitative indicators of output voltage from two microbial fuel cell configurations. …”
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The Development of Modernization Indicators in Pastoral Areas: A Case Study in Inner Mongolia by Yamei WANG, Haoji WANG, Xianjun SONG, Bohang YUAN, Yunshu WANG, Liwen WU, Min WANG, Boyi ZHAO

“…This study employs a multi-indicator comprehensive entropy weight method to construct an indicator system comprising production systems, management systems, output efficiency, and social development indicators. …”
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An Adaptive Sampling Algorithm for Target Tracking in Underwater Wireless Sensor Networks by Yanlong Sun, Yazhou Yuan, Xiaolei Li, Qimin Xu, Xinping Guan

“…First, for maximizing the energy efficiency, we design an adaptive sampling interval adjustment (ASIA) method using a two-input-single-output fuzzy logic controller. …”
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Deep ensemble learning with transformer models for enhanced Alzheimer’s disease detection by Shiza Latif, Naeem Ul Islam, Zaki Uddin, Khalid Mehmood Cheema, Syed Sohail Ahmed, Muhammad Farhan Khan

“…The recurrent convolutional neural network also takes text data as input and generates the final classification output. Finally, these branches are fused using the ensemble learning approach to give a more robust and accurate output. …”
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Matrix-type Power Electronic Transformer for PMSG-based Wind Power Generation System by WANG Hui, SU Mei

“…In order to achieve voltage scaling and galvanic isolation between the input side and output side of wind energy conversion system, a matrix-type power electronic transformer (PET) was proposed for PMSG-based wind energy conversion system, which has the advantages of sinusoidal input and output currents, requiring no energy storage elements, high power density, high reliability, high efficiency and low cost. …”
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Penaeus vannamei aquaculture water quality prediction based on the improved back propagation neural network by DING Jinting, ZANG Zelin, HUANG Min

“…The topology of the model was 40-14-4, that was, the temperature, pH value, dissolved oxygen, and oxidation-reduction potential were the input variables in m=10 consecutive time units, the number of hidden layer nodes was 14, and the output layer was 4. In order to overcome the disadvantages of traditional back propagation (BP) neural network including slow convergence speed, easy to fall into the shock, poor generalization ability and so on, the adaptive variable step size BP-neural network learning algorithm based on the fuzzy method had been developed, which can reduce the learning time of BP-neural network, improve the convergence efficiency and network stability.The computed results for water quality showed good agreement with the measured values. …”
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Motion Control Study of Two-legged Wheeled Robot by Checao YU, Xinzhi MA, Xuejun ZHU, Xudong YANG, Huige LAI, Aidi YANG

“…Therefore, proposing an efficient method for the motion control of a two-legged wheeled robot is of great practical significance.Methods This study adopts the idea of a distributed model to establish the dynamics model of the leg-wheel and torso subsystems and address the issue with the huge structure of the overall dynamics model of the two-legged wheeled robot, which is not conducive to characterization and the construction of the controller. …”
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Sliding Mode Controllers for Standalone PV Systems: Modeling and Approach of Control by Y. Chaibi, M. Salhi, A. El-jouni

“…Then, the obtained results using the suggested MPPT are compared to those using the incremental conductance (IC) method. These results demonstrate the superiority of the sliding mode MPPT in terms of the tracking speed, the efficiency, and the time of response. …”
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Multiobjective Optimization of SWISS Rectifier by YAN Jingbin, SHEN Yunsen, LIU Si, WEI Jinxin, GAO Chongxi

“…Finally, the simulation results show that the scheme is feasible, the optimized efficiency is 96.01%, the power density is 12.95kW/dm3, and the output ripple is 0.068.…”
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Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning by Maryam Viqar, Erdem Sahin, Elena Stoykova, Violeta Madjarova

“…The FD-CNN leverages this output to enhance the image quality further by optimization in the Fourier domain (FD). …”
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Systematic cell placement in quantum‐dot cellular automata embedding underlying regular clocking circuit by Dhrubajyoti Bhowmik, Jayanta Pal, Mrinal Goswami, Pinaki Sen, Apu Kumar Saha, Bibhash Sen

“…In this regard, a systematic cell placement for the combinational logic circuit in QCA is proposed using the widely accepted underlying regular clocking scheme, universal, scalable and efficient (USE). The proposed method traverses all possible paths of a combinational logic circuit from output to input to build the desired circuit generating the automatic cell layout. …”
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Sustainable Cutting Environment Evaluation for Drilling of Aluminum A380 Foam Produced by Semisolid Recycling by Igor Ćulum, Sonja Jozić, Dražen Bajić, Marijana Kalajžić

“…Using the analysis of variance method, feed rate was identified to have the highest influence on the output parameters (31%), followed by cooling and lubrication techniques (18%) and lastly by cutting speed (5%). …”
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Next-Generation Ultrasound Propagation in Suspended Core Optical Fibers by Ricardo E. da Silva, David J. Webb

“…An SCF composed of a <inline-formula> <tex-math notation="LaTeX">$5~\mu $ </tex-math></inline-formula>m core suspended by nano bridges and four air holes is analytically and numerically investigated using the 2D and 3D finite element method. We reveal the propagation of ultrasonic modes in the SCF and describe the variation of their properties with increasing frequency from 1 to 100 MHz. …”
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