Adaptive Control of Short-Wave Data Transmission System Parameters by V. V. Egorov

“…We consider a problem of adaptive parameter selection of short-wave data transmission systems such as information signal type, noise combating code type and parameters, operating frequency in case of step-by-step control of transmission process in dynamically changing conditions of radio wave propagation and interference environment. …”
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Design of nonlinear rubber vibration isolators with low resonant frequency and high load bearing capacity by Xiaoqi Zhang, Xin Li, Fei Du, Fucai Hu, Li Wang, Yongsheng Yu

“…Designing a rubber vibration isolator to simultaneously meet the requirements on both low-frequency vibration isolation and high load carrying capacity has always been a major challenge. To tackle this problem, in this paper, a design strategy capable of effectively balancing these two effects to guide the design of such isolators is proposed. …”
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基于经验模式分解和谱峭度的滚动轴承故障诊断 by 林近山

“…Vibration signals of faulty bearings are usually nonlinear and nonstationary under heavy background noise.As a result,the feature extraction of the vibration signals is always a quite difficult problem.To improve fault diagnosis results for bearings,the fault diagnosis method combination of empirical mode decomposition（EMD） and spectrum kurtosis（SK） is proposed.For one thing,the EMD method is utilized to filter the trend and noise components from the faulty signal in term of the statistical characteristics of the normalized white noise.For another,the bandwidth and central frequency of a bandpass filter which is going to be exploited to filter the purified signal by the EMD method are estimated by using SK.Moreover,according to the envelope spectrum of the signal filtered by the above bandpass filter,the bearing fault is identified.The results show that the SK method can be effectively improved by the EMD filter and a feasible method for the fault diagnosis of bearing is provided.…”
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Ontology-Based Knowledge Acquisition Method for Natural Language Texts by Longwei Qian

“…After emphatically researching the rulebased knowledge extraction technology and the method of building ontology of linguistics, this article proposes a solution to the implementation of knowledge acquisition based on the OSTIS technology. The main feature of this solution is to construct a unified semantic model that is able to utilize ontologies of linguistics (mainly, syntactic and semantic aspect) and integrate various problem-solving models (e. g., rule-based models, neural network models) for solving knowledge extraction process from natural language texts.…”
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Towards understanding the tropical cyclone life cycle by Roger K. Smith, Michael T. Montgomery

“…This behaviour appears to be ruled out in the WISHE models by their assumption of global moist neutrality, but is a feature of the classical Eliassen model.…”
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The DEM Registration Method Without Ground Control Points for Landslide Deformation Monitoring by Yunchuan Wang, Jia Li, Ping Duan, Rui Wang, Xinrui Yu

“…Digital elevation model (DEM) time series data are usually used to monitor dynamic changes or surface damage. To solve the problem of landslide deformation monitoring without ground control points (GCPs), a multidimensional feature-based coregistration method (MFBR) was studied to achieve accurate registration of multitemporal DEMs without GCPs and obtain landslide deformation information. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…SimCLR-GRU provides a scalable and decisive answer to modern cyberspace’s changing malware detection problem.…”
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SHIFA: SBERT-Based Healthcare Information Focused Arabic Question Answering by Rahaf Alruwaithi, Sarah AlHumoud

“…The idea behind this research is to use the SBERT method for entities and context patterns to effectively capture the semantics between QA pairs in two different ways: the feature extractor and the transfer learning model. …”
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THERMOELECTRIC HEAT REMOVAL SYSTEM FOR THE OPERATIONAL STABILISATION OF HEAT PIPES IN A SYSTEM FOR PROVIDING THE THERMAL REGIME OF RADIO ELECTRONIC EQUIPMENT by S. A. Peredkov, R. K. Ramazanov, S. A. Yusufov

“…The three-dimensionality of the problem and mixed boundary conditions lead to the need to develop a calculation  of heat transfer in the elements of the construction of the  thermoelectric system. …”
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Why do we Moot? Exploring the Role of Mooting in Legal Education by Andrew Lynch

“…This discussion will be given contemporary relevance by an examination of how three Queensland Law Schools currently feature moots in their undergraduate curriculum. …”
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A Hybrid Deep Learning Approach for Cotton Plant Disease Detection Using BERT-ResNet-PSO by Chetanpal Singh, Santoso Wibowo, Srimannarayana Grandhi

“…Then, the output of the encoded feature is passed to ResNet-based architecture for feature extraction and further optimized by PSO to increase the classification accuracy. …”
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Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization. by In-Jae Seo, Yo-Han Lee, Beakcheol Jang

“…In addition, five methods for fusing feature vectors extracted from a single modal into one and six strategies for fine-tuning multi-modal models are presented, featuring a total of 14 strategies. …”
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Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…A novel binocular vision error compensation method is proposed to solve the major error compensation problem caused by nonlinear distortion of camera and projector on underwater target detection. …”
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Alignment-Based Pseudo-Label Generation With Collaborative Filtering Mechanism for Enhanced Cross-Domain Aspect-Based Sentiment Analysis by Yadi Xu, Noor Farizah Ibrahim

“…To solve the data scarcity problem, existing cross-domain ABSA research employs semi-unsupervised learning using pseudo-labels. …”
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An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…This research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow occlusion area, which not only considers the problem of disparity error estimation in the shadow occlusion areas but also considers the problem of edge integrity and smoothness in the disparity estimation results. …”
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A Fast Power Market Clearing Method Based on Active Constraints Identification by Deep Learning by Yunliang WU, Jianxin ZHANG, Bao LI, Peng LI, Zhiyong LI, Xin ZHOU, Yan YANG, Xiaowen LAI

“…The day-ahead power market clearing needs to solve the security-constrained economic dispatch (SCED) problem. Although the SCED problem is a linear programming (LP) model, the model size is too large to be effectively solved because the massive security constraints in the N–1 scenarios need to be considered. …”
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Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task by Kononov, Roman Andreevich, Maslennikov, O.  V., Nekorkin, Vladimir Isaakovich

“…The trial structure, featuring constant stimuli over extended periods, allowed us to treat inputs as system parameters and consider the system as autonomous during finite time intervals. …”
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Tractor Path Tracking Control Method Based on Prescribed Performance and Sliding Mode Control by Liwei Zhu, Weiming Sun, Qian Zhang, En Lu, Jialin Xue, Guohui Sha

“…By defining a prescribed performance function, the constrained tracking control problem is transformed into an unconstrained stability control problem, guaranteeing the boundedness of tracking errors. …”
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Fracture identification and 3D reconstruction of coal-rock combinations based on VRA-UNet network by Dengke WANG, Longhang WANG, Yaguang QIN, Le WEI, Tanggen CAO, Wenrui LI, Lu LI, Xu CHEN, Yuling XIA

“…Secondly, to address the complex fracture topology and strong non-uniformity of coal-rock combinations, an attention module (ResCBAM) with spatial and channel dimensions is introduced into the up-sampling part to enhance the model's feature extraction ability and alleviate the problem of gradient disappearance. …”
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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models—an empirical analysis of Indian patient liver disease datasets by Ritu Rani, Garima Jaiswal, Nancy, Lipika, Shashi Bhushan, Fasee Ullah, Prabhishek Singh, Manoj Diwakar, Manoj Diwakar

“…We have also designed a hybrid model which involves the combination of Recursive Feature Elimination (RFE) for feature selection, SMOTE-ENN to tackle the problem of data imbalance and Ensemble learning for enhanced predictions.ResultsThe research work also proposed Hybrid Ensemble model on the ILPD and BUPA Liver Disorder Dataset. …”
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