Quantitative characteristics of gene regulation by small RNA. by Erel Levine, Zhongge Zhang, Thomas Kuhlman, Terence Hwa

“…In common to most is the possibility that interference with the translation of mRNA targets may also alter the abundance of functional sRNAs. …”
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A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes by Yu Peng, Erchao Li

“…The framework employs a denoising variational autoencoder to extract global and local features from auxiliary data, enhancing population distribution and constructing a deep nonlinear representation to counter noise effects. …”
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An edge detection method of pantograph carbon slide based on an improved Canny algorithm by YANG Jun, GUO Youmin, WANG Jianxin, ZHAO Hongliang

“…Gamma transformation was used to highlight the edge features of the image. Scharr operator was used to determine the gradient magnitude of the edges. …”
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Imitation Modeling of Production Processes in FlexSim Environment by E. V. Lapteva, Yu. S. Lekareva, S. S. Umansky

“…Modeling systems in present day life give opportunity to find optimum ways of enterprise functioning and changes in set parameters without interference in production processes or before starting the planned production. …”
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Simultaneous vehicular location and velocity detection towards 6G integrated communication and sensing by Bingpeng ZHOU, Shanshan MA

“…Joint vehicle location and velocity estimation algorithm was proposed for 6G millimeter wave integrated communication and sensing (ICAS), which was challenging due to random channel fading and multipath interference.A novel receiver state sensing (RSS) algorithm was proposed to simultaneously estimate vehicle (receiver) location and velocity, in conjunction with reflection channel estimation.Moreover, a novel multi-carrier Doppler calibration scheme was developed to reduce the disturbance of Doppler effect on RSS performance via frequency shift compensation.The impact of system parameters, e.g., signal bandwidth, the number of transceiver antenna and sub-carriers, on RSS performance was evaluated as well.It was verified by simulations that the proposed RSS algorithm outperformed state-of-the-art baseline methods due to the employed problem-specific system design.In addition, it was shown by simulations that the achieved RSS error was reduced with the increasing of sub-carrier frequency, the number of transceiver antennas and sub-carriers, and it was increased with the increasing distance between base station and vehicle receiver.Particularly, the vehicle location estimation accuracy was increasing with system bandwidth, but it was invariant with central carrier frequency, since only baseband features of received signal were employed for vehicle localization.In contrast, the vehicle velocity detection accuracy was increasing with central carrier frequency, yet it was insensitive to system bandwidth, given the fixed number of sub-carriers.…”
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Identification of Defects in Low-Speed and Heavy-Load Mechanical Systems Using Multi-Fusion Analytic Mode Decomposition Method by Yanlei Liu, Kun Zhang, Miaorui Yang, Xu Zhang, Yonggang Xu

“…In view of the higher requirements of modern machinery for multi-sensor information acquisition and fusion technology, this paper proposes a novel multi-fusion analytic mode decomposition (MFAMD) method to separate and demodulate fault features in signals. In low-speed and heavy-load equipment, the signals collected by multiple sensors contain unknown and unequal fault features and interference. …”
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GLAD: Global–Local Approach; Disentanglement Learning for Financial Market Prediction by Humam M. Abdulsahib, Foad Ghaderi

“…Inspired by recent advancements in disentanglement representation learning, in this paper, we present a promising model for predicting financial markets that learn disentangled representations of features and eliminate those features that cause interference. …”
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An ideally designed deep trust network model for heart disease prediction based on seagull optimization and Ruzzo Tompa algorithm by Yuan Jin, Yunliang Lai, Azadeh Noori Hoshyar, Nisreen Innab, Meshal Shutaywi, Wejdan Deebani, A. Swathi

“…Although recent studies propose comprehensive automated diagnostic systems, these systems tend to focus on one aspect, such as feature selection, prioritization, or predictive accuracy. …”
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Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…The NC process determination for features still depends on engineers’ interactions. …”
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Recapitulation of physiologic and pathophysiologic pulsatile CSF flow in purpose-built high-throughput hydrocephalus bioreactors by Ahmad Faryami, Adam Menkara, Shaheer Ajaz, Christopher Roberts, Ryan Jaroudi, Blake Gura, Tala Hussini, Carolyn A. Harris

“…The AIMS setup’s automated priming feature facilitated constant fluid contact throughout the study; no leaks or ruptures were observed during short- (up to 24 h) or long-term (30 days) experiments. …”
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Monitoring Dairy Cow Rumination Behavior Based on Upper and Lower Jaw Tracking by Ning Wang, Xincheng Li, Shuqi Shang, Yuliang Yun, Zeyang Liu, Deyang Lyu

“…To address behavioral interferences such as head turning and lowering during rumination in group-housed dairy cows, an enhanced network algorithm combining the YOLOv5s and DeepSort algorithms was developed. …”
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Innovative technology of operational searching, exploration and development of oil and gas fields (Example of the Velichaevo-Kolodez field) by Vladimir Mikhailovich Kharchenko, Alina Evgenyevna Domareva, Galina Valentinovna Kolyadova, Valery Petrovich Mochalov

“…The theoretical basis of the concept of structures of the central type, where for the first time their interpretation is used, with the allocation of geodynamic centers, compression and stretching zones, areas of their interference and nodal points; 3. A new method of landscape geoecological mapping, with the isolation of geological and tectonic environment maps, central-type structures and lineaments, as well as the main elements of landscapes (hydrosets, terrain features, soils and vegetation) and physico-geological processes. …”
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Implementation of Discrete Wavelet Combined Bayesian-Optimized Gaussian Process Regression-Based SOC Prediction of EV Battery by Vedhanayaki Selvaraj, Indragandhi Vairavasundaram, D. Obuli Pranav, Shubhi Shukla, Bragadeshwaran Ashok

“…At first the mRMR method will be utilized to choose significantly correlated input parameters. The retrieved features are utilized to train the BO-GPR model and accurately predict the SOC. …”
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Rolling Bearing Life Prediction Based on Improved Transformer Encoding Layer and Multi-Scale Convolution by Zhuopeng Luo, Zhihai Wang, Xiaoqin Liu, Yingming Yang

“…Experimental results show that, even under conditions with interference features, the TransCN model outperforms mainstream advantage model in terms of prediction accuracy and generalizability. …”
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A 3-D Defect Profile Inversion Method Based on the Continuity Correction Strategy by Chenlin Wang, Jianhua Tang, Yicheng Duan, Senxiang Lu, Hao Wen

“…To improve the algorithm’s convergence and result accuracy, this paper proposes a “continuity correction” strategy based on geometric features of defects, which examines the relative depth value of each depth point and corrects the values of implausible points. …”
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Vibration mitigation in interlocking metasurfaces by O. Bolmin, P.J. Noell, N. Leathe, B.L. Boyce

“…Interlocking metasurfaces (ILMs) are a new class of mechanical metamaterials with patterned surface features that enable joining of two adjacent bodies, serving as an alternative to welds, fasteners, or adhesives. …”
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A General Purpose Adaptive Fault Detection and Diagnosis Scheme for Information Systems with Superheterodyne Receivers by Dengwei Song, Hongmei Liu, Le Qi, Bo Zhou

“…Then, time and frequency domain features are extracted from the residual error for diagnosis. …”
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Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events by Yonghun Song, Inyeol Yun, Sandra Giovanoli, Chris Awai Easthope, Yoonyoung Chung

“…The STVS accurately records throat vibrations without interference from surrounding noise, enabling measurement of subtle sounds such as swallowing. …”
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Empowering voice assistants with TinyML for user-centric innovations and real-world applications by Sireesha Chittepu, Sheshikala Martha, Debajyoty Banik

“…A comparative review of current methods identifies areas of research gaps such as deployment difficulties, noise interference, and model efficiency on low-resource devices. …”
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No more rage against the machine: how the corpus-based identification of machine-translationese can lead to student empowerment by Rudy Loock

“…The quantitative results show that the linguistic characteristics of machine-translated texts differ from French original texts, with an almost systematic over-representation of a series of linguistic features, possibly but partially due to source language interference, while the qualitative analysis of a sample reveals finer-grained results (e.g. variability of results depending on (N)MT tool, frequency of adverb deletion). …”
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