FASI-Net: Frequency-Domain Information Assisted Semantic Interaction Network for Bitemporal Remote Sensing Images Change Detection by Fenglei Chen, Haijun Liu, Zhihong Zeng, Xiaoheng Tan

“…However, existing approaches are susceptible to interference from irrelevant factors such as shadows, noise, and unrelated changes in a single temporal, which limits the model's ability to accurately perceive bitemporal crucial semantic information. …”
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A Novel Parallel Multi-Scale Attention Residual Network for the Fault Diagnosis of a Train Transmission System by Yong Chang, Tengfei Gao, Juanhua Yang, Zongyao Liu, Biao Wang

“…However, the noise interference and multi-scale signal characteristics generated by the train transmission system under non-stationary conditions make it difficult for the network model to effectively learn fault features, resulting in a decrease in the accuracy and robustness of the network. …”
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Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

“…The system aims to reduce human interference and enhance grading efficiency and accuracy. …”
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YOLO-DKM: A Flame and Spark Detection Algorithm Based on Deep Learning by Linpo Shang, Xufei Hu, Zijian Huang, Qiang Zhang, Zhiyu Zhang, Xin Li, Yanzuo Chang

“…And integrate DSConv into the C2f module, relying on dynamic characteristics to adaptively adjust convolution operations according to different scene features for more flexible local region feature extraction, capturing local features of flames and sparks. …”
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GANFlow: A Hybrid Model for SAR Image Target Open-Set Recognition Based on GAN and the Flow-Based Module by Jikai Qin, Jiusheng Han, Zheng Liu, Lei Ran, Rong Xie, Tat-Soon Yeo

“…Then, to find the difference in the probability density distribution of the extracted features, a flow-based module is adopted. Also, the features avoid interference from irrelevant background information in SAR images. …”
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Investigation of coplanar waveguide fed SWB antenna with controllable stop band characteristics by Ijaz Khan, Chaoyun Song, Habib Ullah, Xiaozhi Qi, Kuang Zhang, Salahuddin Khan, Yizhi Shao, Tao Gong, Mian Muhammad Kamal, Muhammad Sheraz, Teong Chee Chuah

“…The proposed antenna presents a compact and versatile solution for SWB applications, effectively mitigating interference from overlapping frequency bands. The reconfigurable notch feature, enabled by the varactor diode, provides a significant advantage over fixed-notch systems by allowing dynamic adjustment to different interference conditions. …”
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Neurophysiological mechanisms and perspective for the use of dual tasks inrecovering cognitive function after cardiac surgery by O. A. Trubnikova, I. V. Tarasova, O. L. Barbarash

“…Dual tasks with the simultaneous involvement of motor and cognitive functions are associated with specific features of brain activity and permit evaluation of the brain compensatory resources both in the normal state and in ageassociated cognitive decline or ischemic/ traumatic injury. …”
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WIRELESS OPTICAL COMMUNICATION TECHNOLOGIES IN 5G AND 6G NETWORK INFRASTRUCTURE: PROBLEMS AND SOLUTIONS by Javid J. Aghashov, Tabriz J. Aghashov

“…In this regard, the article describes the features, main characteristics and requirements of new generation mobile networks (5G/6G). …”
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In the footsteps of Prof. Ernst Marcus: redescription and lectotypes/paralectotypes designations of Aeolosoma species (Annelida, Aeolosomatidae) from original material by Nathan Drumov Gonçalves Simioni, André Rinaldo Senna Garraffoni

“…We were able to study and photograph the specimens using a light microscope with Differential Interference Contrast (DIC). We were also able to identify and redescribe many important taxonomic features. …”
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Pregabalin and Tranexamic Acid Evaluation by Two Simple and Sensitive Spectrophotometric Methods by Nawab Sher, Nasreen Fatima, Shahnaz Perveen, Farhan Ahmed Siddiqui, Alisha Wafa Sial

“…Detailed optimization process and stoichiometric studies were conducted along with investigation of thermodynamic features, that is, association constant and standard free energy changes. …”
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Enhanced Blind Separation of Rail Defect Signals with Time–Frequency Separation Neural Network and Smoothed Pseudo Wigner–Ville Distribution by Mingxiang Zhang, Kangwei Wang, Yule Yang, Yaojia Cao, Yong You

“…In addition, 1D-CNN and GRU structures were introduced in the TFSNN structure to exploit the dominant features from AE signals. A dense regressor was also subsequently used to estimate the separation weights. …”
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Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform by Tao Sun, Xiaolong He, Jiajun Zhang

“…By introducing convolutional block attention module to optimize feature extraction and focus on key areas, a weighted bi-directional feature pyramid network is taken to fuse multi-scale features, and gradient optimized Hough transform is used to optimize the accuracy of target localization. …”
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CSL-SFNet for Cooperative Spectrum Sensing in Cognitive Satellite Network with GEO and LEO Satellites by Kai Yang, Shengbo Hu, Xin Zhang, Tingting Yan, Manqin Zhu

“…This scheme combines the advantages of CNNs, SA modules, and LSTMs to extract the features of the input signals from the spatial and temporal domains. …”
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Endo-1,4-β-D-xylanase Assay Using Azo-Xylan and Variants Thereof by Luca Bombardi, Annalaura Coltro, Salvatore Fusco

“…In this study, the Azo-Xylan protocol was adapted from the company Megazyme to determine the enzymatic activity of thermostable xylanases produced by microbial consortia (i.e., microbiomes), aiming to determine biochemical features such as temperature and pH optima, thermostability, and shelf life. …”
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Kramers–Henneberger atoms in flattened Gaussian beams by Ioksang Leung, Mingyu Zhu, Pingxiao Wang, Qi Wei

“…Through the dichotomy structure of KH atoms, we can verify the existence of KH atoms using interference fringes of multi-photon ionization signals.…”
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Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network by Wuyi Chen, Huafeng Cai, Qiu Sun

“…In order to combat the difficulty of fault feature extraction and fault recognition in the field of bearing fault diagnosis, a bearing fault diagnosis method based on improved variational mode decomposition (VMD) and parallel hybrid neural network is proposed, which combines reweighted kurtosis (RK) with variable mode decomposition (VMD) and uses reweighted kurtosis as the evaluation index to select the decomposition times of variational mode decomposition, while removing part of the interference in the fault signal and retaining its impact characteristics. …”
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Design and Hysteresis Compensation of Novel Resistive Angle Sensor Based on Rotary Potentiometer by Ruiqi Liu, Min Li, Jiahong Zhang, Zhengguo Han

“…This paper presents a resistive angle sensor based on a rotary potentiometer, designed to offer a measurement range of 180° for low-cost angle measurement in industrial automation and electromagnetic interference (EMI)-sensitive applications. The sensor features a specially designed signal conditioning circuit and mechanical housing. …”
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Prevalence of oral impacts on daily performances (OIDP) of elderly people in Curitiba – PR by Lígia Moura Burci, Yasmin Dallarmi Miguel, Obdulio Gomes Miguel, Astrid Wiens Souza, Josiane de Fátima Gaspari Dias, Marilis Dallarmi Miguel

“…Also, the influence of gender, income, attendance to the dentist, self-assessment of health, and social-demographic features were verified. Oral health influenced in 83.72%the daily routine of the participants. …”
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Intra-Net Cognitive Radio Intelligent Utility Maximization using Adaptive PSO-Gradient Algorithm by Imran Ullah Khan

“…Re-configurability and perception are the key features of cognitive radio while latest machine learning techniques like deep learning is used for system adaptation. …”
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ATBShellFinder: A Bytecode-Level Webshell Detector Based on Adversarial Training by Yuqin Xie, Yuan Zhang, Daofeng Li, Guoren Xiong

“…With the rapid evolution of evasion techniques, existing detection methods fail to effectively capture the contextual semantics and abstract features of webshell variants. This allows some webshells to evade detection and cause significant damage to target systems. …”
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