Structure and distribution of gynaecological diseases for girls and teenage girls in the Zaporizhzhia area by N. V. Avramenko, O. V. Kabachenko, T. O. Tsaruk

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Visual Scheme for the Detection of Mobile Attack on WSN Simulator by Young-Sik Jeong, Hyun-Woo Kim, Jong Hyuk Park

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Double-moment normalization of hail size number distributions over Switzerland by A. Ferrone, J. Kopp, M. Lainer, M. Gabella, U. Germann, A. Berne

“…Thanks to its invariance in space and time, a generalized gamma function is used to model the normalized distribution, and its parameters have been determined through a fit over approximately 70 % of the events. …”
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Distribution, behavior and diet of the Asiatic black bear in human modified landscapes by Hadi Fahimi, Mahmood Soofi, Nahid Ahmadi, Ali T. Qashqaei, Hamidreza Heidari, Haaken Bungum, Bent Rech, Jonas Trepel, Matthias Waltert

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Smart Building Digital Twin for Interior Water Distribution System Management by G. Rajan, S. Li

“…This study uses Digital Twin technology to address these challenges through real-time monitoring, detection, and management of campus water distribution networks. …”
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Distributed variational sparse Bayesian compressed sensing based on factor graphs by Cui-tao ZHU, Fan YANG, Han-xin WANG, Zhong-jie LI

“…A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the statistical inference of the spectrum occupancy,to implement the “soft fusion”.The temporal and spatial correlation information providing two-dimensional redundancies was exchanged among cooperative cognitive users to improve the detection performance under low SNR.Meanwhile,the algorithm prunes the divergence of hyper-parameters and the corresponding basis functions for reducing the load of communication.The simulation results show that this method can effectively achieve performance of spectrum sensing under a low sampling rate and the low SNR.…”
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Insulator detection based on SE-YOLOv5s by Qing TIAN, Rong HU, Zuoyong LI, Yuanzheng CAI, Zhaochai YU

“…In a large environment where the power system needs to be inspected, the traditional method of manual inspection has great inconvenience and potential safety risks, and the object detection method of unmanned aerial vehicle has great application prospects in the direction of insulator detection and recognition.SE-YOLOv5s, a lightweight insulator detection network that performs efficient detection for this task was presented.Firstly, backbone of YOLOv5s by fusing the SE attention module was strengthen.Then, the position distribution of insulator object was investigated and predefined templates of a priori box by K-means clustering on prior coordinate vectors were generated.Finally, the network by a multitask loss function was trained combined with confidence and position regression task.Furthermore, Mosaic data augmentation was utilized to supplement additional training samples.Experimental results demonstrate that the proposed SE-YOLOv5s significantly outperforms baseline methods at multiple criterions including accuracy, recall rate, detection rate and mean average precision.In comparison with the baselines, the proposed network has a flexible trade-off between robustness and memory overhead and it is a potential approach to promote the power system development.…”
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Electrochemical Detection of Microplastics in Water Using Ultramicroelectrodes by Changhui Lee, Sangwon Han, Jun Hui Park

“…COMSOL Multiphysics simulations were employed to analyze the magnitude of the current changes as a function of microplastic size. The size distribution obtained from the simulations closely matched measurements from dynamic light scattering (DLS).…”
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Robot Fault Detection Based on Big Data by Fei Luo

“…The fault features are extracted according to the time-delay distribution sequence of the electrical fault data of the robot, and the electrical fault detection and diagnosis results are output by using the deep learning function. …”
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Vertical distribution of methanotrophic archaea in an iron-rich groundwater discharge zone. by Katsunori Yanagawa, Misaki Okabeppu, Sakiko Kikuchi, Fumito Shiraishi, Yumiko Nakajima, Akihiro Kano

“…In this study, we investigated the environmental factors influencing the distribution of methanotrophic archaea in an iron-rich zone of a freshwater pond in Hiroshima Prefecture, Japan. …”
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ENVELOPE FLUCTUATIONS DISTRIBUTION OF SIMPLE RADAR PULSE BACKSCATTERING IN RARIFIED MEDIUM by D. A. Denisenkov, A. G. Gorelik, S. F. Kolomietc

“…Tables with experimental data are presented. Two main distribution models are considered: lognormal and "logo-gamma-functional". …”
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Genetic potential for aerobic respiration and denitrification in globally distributed respiratory endosymbionts by Daan R. Speth, Linus M. Zeller, Jon S. Graf, Will A. Overholt, Kirsten Küsel, Jana Milucka

“…Abstract The endosymbiont Candidatus Azoamicus ciliaticola was proposed to generate ATP for its eukaryotic host, an anaerobic ciliate of the Plagiopylea class, fulfilling a function analogous to mitochondria in other eukaryotic cells. …”
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Spatio-temporal distribution of aquatic macrophytes in the Lower Volta Basin, Ghana by Linda Boamah Appiah, Charles Gyamfi, Clement Nyamekye, Jonathan Quaye Ballard, Geophrey Kwame Anornu

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Homogenization of the Probability Distribution of Climatic Time Series: A Novel Algorithm by Peter Domonkos

“…The new method is similar to quantile matching, but section mean values of the probability distribution function (PDF) are compared instead of individual daily values. …”
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Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

“…The focus of the current work is on detecting deviations from the ideal gap-density function describing randomized bit sequences. …”
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Sympathetic nerves are sparsely distributed in rat mesenteric perivascular adipose tissue by William F. Jackson, Emma D. Flood, D. Adam Lauver, Gregory D. Fink, Stephanie W. Watts, Brian D. Gulbransen

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A Semiparametric Model for Hyperspectral Anomaly Detection by Dalton Rosario

“…Uniqueness of the approach includes the following: (i) only a small fraction of the HS cube is required to characterize the unknown clutter background, while existing global anomaly detectors require the entire cube; (ii) the utility of a semiparematric model, where underlying distributions of spectra are not assumed to be known but related through an exponential function; (iii) derivation of the asymptotic cumulative probability of the approach making mistakes, allowing the user some control of probabilistic errors. …”
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Spatially distributed effects of mental exhaustion on resting-state FMRI networks. by Fabrizio Esposito, Tobias Otto, Fred R H Zijlstra, Rainer Goebel

“…In resting-state functional magnetic resonance imaging, independent component analysis yields spatially distributed network representations reflecting distinct mental processes, such as intrinsic (default) or extrinsic (executive) attention, and sensory inhibition or excitation. …”
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Experimental Study of Coherent Collaborative Processing Method in Distributed Automotive Radar by A. A. Kuzin, S. E. Kuznetsov, A. V. Miakinkov, R. S. Fadeev, S. A. Shabalin

“…Intelligent driver assistance systems are increasingly employing radar systems to detect, resolve, and track various classes of targets. …”
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Study on the orientation detection of surface cracks by electromagnetic acoustic emission by Zhichao Cai

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