An adaptive hexagonal deployment model for resilient wireless sensor networks in precision agriculture by Zhang Yinjun

“…The AFHSS mechanism dynamically adjusts frequency channels, mitigating interference and fortifying the network’s robustness against external disruptions. …”
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Intelligent Recognition of Road Internal Void Using Ground-Penetrating Radar by Qian Kan, Xing Liu, Anxin Meng, Li Yu

“…However, due to noise interference during detection, accurately identifying void areas based on GPR-collected images remains a significant challenge. …”
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An Aerodynamic Method for the Analysis of Isolated Horizontal-Axis Wind Turbines by Christian Masson, Idriss Ammara, Ion Paraschivoiu

“…In most existing performance-analysis methods, wind turbines are considered isolated so that interference effects caused by other rotors or by the site topology are neglected. …”
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Deep learning-enhanced signal detection for communication systems. by Yang Liu, Peng Liu, Yu Shi, Xue Hao

“…Traditional communication signal detection heavily relies on manually designed features, making it difficult to fully characterize the essential characteristics of the signal, resulting in limited detection accuracy. …”
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soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes by Yi‐Jen Sun, Shih‐Ching Yen, Tzu‐Hao Lin

“…However, assessing the diversity of animal vocalizations remains challenging due to the interference of environmental and anthropogenic noise. …”
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Bioinformatics analysis of the Microsporidia sp. MB genome: a malaria transmission-blocking symbiont of the Anopheles arabiensis mosquito by Lilian Mbaisi Ang’ang’o, Jeremy Keith Herren, Özlem Tastan Bishop

“…Genes involved in RNA interference (RNAi) were also identified, suggesting a mechanism for host immune suppression. …”
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A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…Compared to conventional methods, the proposed model demonstrates superior performance in both wide-range spectral reconstruction and fine-resolution tasks, thus highlighting its ability to effectively capture intricate spectral features and long-range dependencies, thereby advancing the reconstruction capabilities of miniaturized spectrometers.…”
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Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid by Emmanuel Ogbodo, David Dorrell, Adnan Abu-Mahfouz

“…The traditional model lacks these capability features.…”
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Fault Prediction for Rotating Mechanism of Satellite Based on SSA and Improved Informer by Qing Lan, Ye Zhu, Baojun Lin, Yizheng Zuo, Yi Lai

“…An improved informer model is used to predict and diagnose features related to the turntable’s operational health, including temperature, rotational speed, and current. …”
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ESTIMATION OF SOFTWARE COMPLEXITY OF CALCULATION OF AUTOREGRESSION COEFFICIENTS AT DIGITAL SPECTRAL ANALYSIS by Andrey Zuev, Andrey Ivashko, Denis Lunin

“…At microcontroller realization of spectrum analyzers, it is necessary to consider features of the arithmetic used by the controller. …”
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Fish feeding behavior recognition via lightweight two stage network and satiety experiments by Shilong Zhao, Kewei Cai, Yanbin Dong, Guanbo Feng, Yuqing Wang, Hongshuai Pang, Ying Liu

“…However, current research still faces three major issues: qualitative labels lead to models that produce only qualitative outputs; redundant information in images causes interference; and the high complexity of models hinders real-time application. …”
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Особливості судового рішення у справах за участі дітей by Pavlo Parkhomenko

“…Depending on the type of proceedings and the child’s status in it, the child’s level of development, socio-psychological features of the child, the conditions of the child’s living and education, security, family situations and relationships with adults, etc., must be established.…”
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A robust RGBT tracking framework with temporal information enhancement and backward trajectory verification by Huiwei Shi, Xiaodong Mu, Hao He, Chengliang Zhong, Peng Zhao

“…However, challenges such as target appearance variations, similar object interference, and camera motion often lead to tracking drift. …”
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Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System by Enzu Peng, Chengyi Liu, Haiming Zhao

“…Traditional image processing techniques—including spatial and frequency domain methods—are ineffective in addressing the interference caused by suspended particles and offer only limited enhancement effects. …”
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Formation of Lunar Swirls: Implication from Derived Nanophase Iron Abundance by Wanqi Zhao, Xin Ren, Bin Liu, Yao Xiao, Dawei Liu

“…Lunar swirls are enigmatic features on the Moon’s surface, and their formation remains debated. …”
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Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions by Annu, P. Rajalakshmi

“…Encompassing direct communication, collision issues, spectrum compliance, resource fairness, uncertainty, and interference management, the survey comprehensively explores challenges and solutions in current sidelink resource allocation. …”
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Study on a Receiver Circuit for Simultaneous Lightwave Information and Power Transfer by TU Junxuan, FAN Tingbing, NI Huilin, ZHUANG Jizhou, CAO Guoyang, WU Shaolong, LI Xiaofeng

“…【Conclusion】The receiving circuit can operate without an external power supply and features maximum power point tracking, low power consumption, and adjustable operating modes.…”
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A new design of an electromyography sensor for movement detection in human-machine interaction systems by Thi Truc Thao Phan, Khang Hoang Vinh Nguyen, Xuan Phu Do, Phan Huu Thanh Tu, Huy-Tuan Pham

“…Given the susceptibility of EMG signals to noise sources like power line interference (PLI), muscle cross-talk, and skin movement artifacts, the proposed sensor is designed to enhance EMG signal fidelity. …”
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Multiple modes of impulsivity in Parkinson's disease. by Cristina Nombela, Timothy Rittman, Trevor W Robbins, James B Rowe

“…Relationships between each factor and clinical and demographic features were examined by regression against factor loadings. …”
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Predicting the availability of power line communication nodes using semi-supervised learning algorithms by Kareem Moussa, Khaled Mostafa Elsayed, M. Saeed Darweesh, Abdelmoniem Elbaz, Ahmed Soltan

“…These instances consist of CINR(Carrier-to-Interference plus Noise Ratio), SNR(Signal-to-Noise Ratio), and RSSI(Received Signal Strength Indicator) as features for the label, which is a node is UP/Down. …”
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