Anomaly Detection in Industrial Machine Sounds Using High-Frequency Features and Gate Recurrent Unit Networks by Thi-Thu-Huong Le, Andro Aprila Adiputra, Jiwon Yun, Howon Kim

“…Detecting anomalies in industrial sound is critical for maintaining operational efficiency, preventing costly equipment failures, and ensuring workplace safety. …”
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Prediction of sediment-water partition coefficients for pesticides in real river based on energy lattice points by Zhoubing Huang, Zhenqin Zhao, He Yu, Lu Sun, Dali Sun, Jianzhong Cheng, Qinghai Zhang, Chaoxuan Liao

“…Predicting the sorption coefficients of pesticides in the real environment is a complex and challenging task. …”
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Reliability and Quality of Complex Systems by S.M. Gerashchenko, A.D. Semenov, S.I. Gerashchenko, N.V. Goryachev, I.M. Rybakov

PROPERTIES OF NETWORKS BUILT ON DIGITAL IMAGES by Oleh Kushnir, Oleksiy Kravchuk, Volodymyr Franiv

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Signals of complexity and fragmentation in accelerometer data. by Els Weinans, Jerrald L Rector, Sarah Charman, Renae J Stefanetti, Cecilia Jimenez-Moreno, Gráinne S Gorman, Ingrid van de Leemput, Daniël van As, René Melis, Baziel van Engelen

“…Previous work hypothesizes that an individual's activity pattern can be seen as a complex dynamical system. Here, we explore this hypothesis further by investigating whether complexity-based measures quantifying repetitiveness and fragmentation of activity captured via accelerometer can detect health differences beyond traditional measures. …”
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Complex dark photon dark matter EFT by Enrico Bertuzzo, Tommaso Sassi, Andrea Tesi

“…First we apply this to collider bounds on light dark matter, then to direct detection searches by extending the list of non-relativistic operators to include the case of complex vectors. …”
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Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

“…This method assesses the complexity, sparsity, homogeneity, modularity, and hierarchy of the RO/RO shipping network across various ports and countries and employs the graph convolutional neural network (GCN) model to extract network features for community detection. …”
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Analytical Study for the Charge-Transfer Complexes of Pregabalin by Hesham Salem

“…Different colored charge-transfer complexes and radical anions were obtained. Different variables affecting the reactions were studied and optimized. …”
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Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease by Guotao Liu, Yanping Zhang, Zhenghui Hu, Xiuquan Du, Wanqing Wu, Chenchu Xu, Xiangyang Wang, Shuo Li

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Use of Ultrasonography for the Evaluation of Lung Lesions in Lambs with Respiratory Complex by Alejandro Sánchez-Fernández, Juan Carlos Gardón, Carla Ibáñez, Joel Bueso-Ródenas

“…The ovine respiratory complex significantly affects lamb welfare and production efficiency, necessitating accurate diagnostic methods for pulmonary lesions. …”
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Hydrodynamic characterization of the redox chemistry of crown-encapsulated uranyl complexes by Alexander C. Ervin, James D. Blakemore

“…Rotating disk electrode (RDE) studies have been used to quantify the diffusion coefficients of the U(VI) and U(V) complexes, and standard heterogeneous electron transfer rate constants (k0) for the redox have been determined using a conventional Koutecký-Levich analysis. …”
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Study of Complex Impedance Dispersion Model for Two-Phase Laminar Flow by CHENG Linfeng, KE Shizhen, SHI Hongwei, ZHANG Yuhang, LUO Hu, TAO Jie

“…Therefore, it is imperative to identify a more cost-effective and efficient measurement method. Complex impedance spectrum (CIS) detection technology emerges as a promising solution, offering advantages such as low cost, easy implementation, environmental friendliness, and safety. …”
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Key nodes identification in complex networks based on subnetwork feature extraction by Luyuan Gao, Xiaoyang Liu, Chao Liu, Yihao Zhang, Giacomo Fiumara, Pasquale De Meo

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Deposit thickness control of the heat exchange equipment by hardware and software complex by E. V. Garnyshova, E. V. Izmaylova, Yu. V. Vankov

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A novel strategy to precisely adjust partition coefficient, effectively eliminate matrix interference and achieve accurate and fast gold immunochromatographic assay of ethoxyquin i... by Qifan Sun, Lin Zhang, Shaoen Zhang, Qingzhou Chen, Jinjun Ying, Hong Lin, Jianxin Sui, Kaiqiang Wang, Xiudan Wang, Limin Cao

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Intrusion detection method for IoT in heterogeneous environment by LIU Jing, MU Zelin, LAI Yingxu

“…In order to address the issue of inadequate training efficiency and subpar model performance encountered by Internet of things (IoT) devices when dealing with resource constraints and non-independent and identically distributed (Non-IID) data, a novel personalized pruning federated learning frame work for IoT intrusion detection was put forth. Initially, a channel importance scoring-based structured pruning strategy was proposed, facilitating the generation of sub-models to be disseminated to resource-limited clients, thereby harmonizing model accuracy and complexity. …”
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Linear viscoelastic models from creep and complex modulus testing in soil-emulsion by Paulo Mateus Barros Rodrigues, Silvrano Adonias Dantas Neto, Lucas Feitosa de Albuquerque Lima Babadopulos, Jorge Luiz Oliveira Lucas Júnior

“…Test samples were then exposed to air until a constant density loss was detected, followed by conducting complex modulus tests at thirty different temperature-frequency pairs. …”
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Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features by Tianning Li, Yi Huang, Peng Wen, Yan Li

“…A random forest regression model was employed to estimate anesthetic states, and an unsupervised learning method using the Hurst exponent algorithm and hierarchical clustering was introduced to detect transitions between anesthesia states. The method was tested on two independent datasets (UniSQ and VitalDB), achieving an average Pearson correlation coefficient of 0.86 and 0.82, respectively. …”
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Development of Impact Factors Reverse Analysis Method for Software Complexes’ Support Automation by Andrii Pukach, Vasyl Teslyuk, Nataliia Lysa, Liubomyr Sikora

“…This research represents a corresponding and developed specialized impact factors reverse analysis method for software complexes’ support automation; it is intended for the analysis of impact factors affecting the supported software’s (or processes of its comprehensive support) subjective perception results, as one of the constituent tasks of the more complex problem of software complexes’ support automation. …”
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Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

“…It is necessary to detect defects in the production process of LCD screens for quality improvements Manual detection brings a heavy workload and low accuracy Therefore, an efficient and accurate automatic detection method is urgently needed To this end, this paper proposes a new defect detection framework, which mainly includes screen area extraction, preprocessing, threshold segmentation and defect selection By adaptive adjustment of parameters, the detection method can adapt to various complex situations In order to eliminate the influence of illumination changes, the defect region is segmented by automatic parameter adjustment in the threshold segmentation First, the maximum grayscale value of the image is calculated, and then the fixed parameters and the coefficient of the defect image are determined according to the nodefect image, and finally the maximum value which was selected as the minimum threshold of the threshold segmentation from the fixed parameters and the product of the maximum grayscale value and the coefficient In addition, in order to solve the problem that the brightness difference of the images captured by lowresolution cameras is too small to detect defects in the saturation condition, selfadaptive adjustment of exposure parameters was used to collect images to process different parts of images with large difference in light and shade Experiments show that the method can achieve high performance and efficiency in detecting defects such as points, lines, Mura, saturation…”
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