Design and Fabrication of Multi-Frequency and Low-Quality-Factor Capacitive Micromachined Ultrasonic Transducers by Amirhossein Moshrefi, Abid Ali, Mathieu Gratuze, Frederic Nabki

“…Capacitive micromachined ultrasonic transducers (CMUTs) have been developed for air-coupled applications to address key challenges such as noise, prolonged ringing, and side-lobe interference. This study introduces an optimized CMUT design that leverages the squeeze-film damping effect to achieve a low-quality factor, enhancing resolution and temporal precision for imaging as one of the suggested airborne application. …”
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GC-Faster RCNN: The Object Detection Algorithm for Agricultural Pests Based on Improved Hybrid Attention Mechanism by Bolun Guan, Yaqian Wu, Jingbo Zhu, Juanjuan Kong, Wei Dong

“…Third, we implement an optimized training strategy featuring a cosine annealing scheduler with linear warm-up, accelerating model convergence while maintaining training stability. …”
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Mathematical Formalization and Algorithmization of the Main Modules of Organizational and Technical Systems by A. A. Solodov

“…This mathematical interpretation of the organizational and technical systems structure allowed us to formalize the main problems solved by typical organizational and technical systems and consider optimal algorithms for solving such problems. The assumption when considering the problems of synthesis of optimal algorithms is to optimize the status assessment module of organizational and technical systems and the control module separately, while the main attention is paid to the consideration of optimal estimation algorithms. …”
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LSTM-IOT (LSTM-based IoT) untuk Mengatasi Kehilangan Data Akibat Kegagalan Koneksi by Yosia Adi Susetyo, Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto

“…This architecture has been optimized through experiments using different types of optimizers, such as Adam, RMSprop, AdaGrad, SGD, Nadam, and Adadelta. …”
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Integrating SAR-ADC in GaN-Based Totem Pole PFC: A Step Toward Smart Power Conversion by Xu Cheng

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Joint channel allocation and power control in femtocell system by Shi-yao MU, Qi ZHU

“…A joint channel allocation and power control algorithm was proposed, which used convex optimization method to combine channel allocation and power control and limit the range of interference, subgradient method was used to solve the close formula of power and optimize the capacity of fem network. …”
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A Detection and Cover Integrated Waveform Design Method with Good Correlation Characteristics and Doppler Tolerance by Haoting Guo, Fulai Wang, Nanjun Li, Zezhou Wu, Chen Pang, Lei Zhang, Yongzhen Li

“…The gradient descent algorithm is used to solve the model, and the optimized waveform with low sidelobe characteristics and multiple false target interference abilities is obtained. …”
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A contract-based cooperative spectrum sharing model in cognitive radio network by Guangqiang SHI, Ying LIU, Xiaomin MU

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Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Tra... by Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao

“…Hence, a nondestructive sensing technique that offers low noise interference and high quantitative precision must be developed to address this problem. …”
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Research status of soft anthropomorphic dexterous hands by LIU Yibo, XIAO Huaping, LIU Chuanwang, SUN Zhenhao, HAO Tianze, LIU Shuhai

“…Finally, taking the maximum thrust of the linear actuator during the lifting and tilting process as the optimization objective, through sensitivity analysis, the hinge joints that have a greater impact on the optimization objective were selected as design variables, and performance constraints and interference constraint functions were set. …”
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On differential privacy for federated learning in wireless systems with multiple base stations by Nima Tavangaran, Mingzhe Chen, Zhaohui Yang, José Mairton B. Da Silva Jr., H. Vincent Poor

“…We show the convergence behavior of the learning process by deriving an upper bound on its optimality gap. Furthermore, we define an optimization problem to reduce this upper bound and the total privacy leakage. …”
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Integrated Control Method for STOVL UAV Based on RBF Neural Network and Nonlinear Dynamic Allocation by Shilong Ruan, Shuaibin An, Zhe Dong, Zeyu Jin, Kai Liu

“…To address the aforementioned interference and coupling problems, a comprehensive control law based on a radial basis function neural network (RBFNN) and nonlinear dynamic optimal allocation is designed in this paper. …”
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A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

“…Based on this feature, the proposed algorithm meticulously optimizes the predicted steering vector of the desired signal, which can mitigate the problem of performance degradation caused by the mismatch in the steering vector. …”
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Robust Joint Active and Passive Beamforming for Reconfigurable Intelligent Surface Assisted Full-Duplex Transmissions Under Imperfect Channels by Li-Hsiang Shen, Chia-Jou Ku, Kai-Ten Feng

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FRR: A Fast Routing Recovery mechanism minimizing network formation time in smart grids by Giancarlo C. Heck, Ananias A. Quispe, Patryk H. da Fonseca, Osni S. Junior, Roberto A. Hexsel, Luiz C.P. Albini

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Application of weighted centroid algorithm based on weight correction in node localization of wireless sensor networks by Wengang Yu, ChunLing Yu

“…Finally, the chimpanzee optimization algorithm is introduced to implement the design of the centre-of-mass node localization algorithm, and the iterative idea is used to achieve the selection of the optimal value for the unknown node position. …”
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Deep and robust resource allocation for random access network based with imperfect CSI by Weihua WU, Guanhua CHAI, Qinghai YANG, Runzi LIU

“…A deep and robust resource allocation framework was proposed for the random access based wireless networks,where both the communication channel state information (C-CSI) and the interference channel state information (I-CSI) were uncertain.The proposed resource allocation framework considered the optimization objective of wireless networks as a learning problem and employs deep neural network (DNN) to approximate optimal resource allocation policy through unsupervised manner.By modeling the uncertainties of CSI as ellipsoid sets,two concatenated DNN units were proposed,where the first was uncertain CSI processing unit and the second was the power control unit.Then,an alternating iterative training algorithm was developed to jointly train the two concatenated DNN units.Finally,the simulations verify the effectiveness of the proposed robust leaning approach over the nonrobust one.…”
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Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation by WANG Chaowei, PANG Mingliang, WANG Su, ZHAO Lingli, GAO Feifei, CUI Gaofeng, WANG Weidong

“…The system fairness was measured by a user satisfaction index and the system throughput was optimized while considering fairness. The optimization problem was modeled as a multi-objective optimization. …”
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An improved artificial fish swarm algorithm and its application on system identification with a time-delay system by CAO Fa-ru, FENG Mao-lin

“…To remedy the low convergence rate and low optimization accuracy of the artificial fish swarm algorithm (AFSA), an improved artificial fish swarm algorithm (IAFSA) was proposed. …”
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Temporal proteome profiling of Botrytis cinerea reveals proteins involved in plant invasion and survival by Shriya Singh, Manasa Hegde, Inderjeet Kaur, Nidhi Adlakha

“…However, most proteomics studies in phytopathogens face interference from abundant host proteins. Here, we optimized a solid media that better mimics in-planta conditions and used it to perform the temporal protein dynamics in Botrytis cinerea. …”
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