An Overview of Performance Analysis and Optimization in Coexisting Satellites and Future Terrestrial Networks by Sirine Ben Ati, Hayssam Dahrouj, Mohamed-Slim Alouini

“…To this end, this manuscript surveys the advances in optimization and performance analysis methods in coexisting satellites networks and future wireless systems. …”
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PERFORMING AN ANALYSIS OF ARRAY WAVEGUIDE (AWG) MULTIPLEXER BASED ON AN OPTICAL NETWORK by Hussein Ahmed Ali

“…In the beginning, an analysis is performed of an AWG at data rates of (8×40Gb/s, over 242.5km fiber optic link) with minimum system impairments. …”
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An information dissemination strategy in social networks based on graph and content analysis by Jing Huang

“…By leveraging advanced computational techniques and data analysis, we can strive towards a more informed and trustworthy digital environment, where users can navigate through the sea of information with confidence and make well-informed decisions.…”
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Data analytics to advance the inference of origin–destination in public transport systems: tracing network vulnerabilities and age-sensitive trip purposes by Sofia Cerqueira, Elisabete Arsenio, José Barateiro, Rui Henriques

“…Considering Lisbon as the target study case, we apply the methodology over smart card data collected both from metro and bus systems. A comparative analysis with state-of-the-art methods revealed that the enhanced framework for alighting and OD inference led to longer journey times for trips. …”
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Application of the RFA-XGBoost model in predicting potential complaint users in mobile network by ZHANG Peng, GAO Yuan

“…In order to predict and reduce the occurrence of complaints of mobile network users in advance, the application of multidimensional data analysis in the prediction of potential complaints of mobile network users was deeply studied. …”
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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

“…This article constructed a teaching interactive network by applying complex network theory, and used complex network analysis to reveal classroom interaction rules and key factors, improving the accuracy and robustness of teaching quality prediction. …”
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Gaussian process modeling and multi-step prediction for time series data in wireless sensor network environmental monitoring by Yan CHEN, Zi-jian WANG, Ze ZHAO, Dong LI, Li CUI

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Gaussian process modeling and multi-step prediction for time series data in wireless sensor network environmental monitoring by Yan CHEN, Zi-jian WANG, Ze ZHAO, Dong LI, Li CUI

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A benchmark of RNA-seq data normalization methods for transcriptome mapping on human genome-scale metabolic networks by Hatice Büşra Lüleci, Dilara Uzuner, Müberra Fatma Cesur, Atılay İlgün, Elif Düz, Ecehan Abdik, Regan Odongo, Tunahan Çakır

“…Integrative Metabolic Analysis Tool (iMAT) and Integrative Network Inference for Tissues (INIT) are the two most popular algorithms to create condition-specific GEMs from human transcriptome data. …”
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Universal conditional networks (UniCoN) for multi-age embryonic cartilage segmentation with sparsely annotated data by Nishchal Sapkota, Yejia Zhang, Zihao Zhao, Maria Jose Gomez, Yuhan Hsi, Jordan A. Wilson, Kazuhiko Kawasaki, Greg Holmes, Meng Wu, Ethylin Wang Jabs, Joan T. Richtsmeier, Susan M. Motch Perrine, Danny Z. Chen

“…These results highlight the potential of our approach for developing robust, universal models capable of handling diverse datasets with limited annotated data, a key challenge in DL-based medical image analysis.…”
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Performance analysis of artificial neural networks for predicting propagation losses in suburban environments for 4G LTE and 5G networks by Bruno Jácome Cavalcanti, Gustavo Araújo Cavalcante, Laércio Martins de Mendonça

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The impacts of training data spatial resolution on deep learning in remote sensing by Christopher Ardohain, Songlin Fei

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A Rule-Based Predictive Model for Estimating Human Impact Data in Natural Onset Disasters—The Case of a PRED Model by Sara Rye, Emel Aktas

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AI and Data Analytics in the Dairy Farms: A Scoping Review by Osvaldo Palma, Lluis M. Plà-Aragonés, Alejandro Mac Cawley, Víctor M. Albornoz

“…Among the most important results, we found that (i) the identified studies are relatively recent with an average publication time of 5.95 years; (ii) the scope of the selected studies is mostly concentrated on milk and prediction (29%), early detection of lameness (26%), and timely detection of mastitis (13%); (iii) the type of analysis is mostly predictive (87%), and prescriptive is barely present (3%); (iv) the types of input data used in the studies are preferably historical (70%), and real-time data (25%) are used less frequently; (v) we found that the method of artificial neural networks (47%) and the convolutional neural networks (24%) are the most used for the studies regarding bovine milk output predictions. …”
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PROPERTIES OF NETWORKS BUILT ON DIGITAL IMAGES by Oleh Kushnir, Oleksiy Kravchuk, Volodymyr Franiv

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Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study. by Richard Howey, Jonathan Adam, Jerzy Adamski, Natalie N Atabaki, Søren Brunak, Piotr Jaroslaw Chmura, Federico De Masi, Emmanouil T Dermitzakis, Juan J Fernandez-Tajes, Ian M Forgie, Paul W Franks, Giuseppe N Giordano, Mark Haid, Torben Hansen, Tue H Hansen, Peter P Harms, Andrew T Hattersley, Mun-Gwan Hong, Ulrik Plesner Jacobsen, Angus G Jones, Robert W Koivula, Tarja Kokkola, Anubha Mahajan, Andrea Mari, Mark I McCarthy, Timothy J McDonald, Petra B Musholt, Imre Pavo, Ewan R Pearson, Oluf Pedersen, Hartmut Ruetten, Femke Rutters, Jochen M Schwenk, Sapna Sharma, Leen M 't Hart, Henrik Vestergaard, Mark Walker, IMI DIRECT Consortium, Ana Viñuela, Heather J Cordell

“…Here we report the results from exploratory analysis using a Bayesian network approach of data originally derived from a large North European study of type 2 diabetes (T2D) conducted by the IMI DIRECT consortium. 3029 individuals (795 with T2D and 2234 without) within 7 different study centres provided data comprising genotypes, proteins, metabolites, gene expression measurements and many different clinical variables. …”
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Performance Analysis of the Sleep Mode in WiMAX 2 Networks with Multimedia Application by Shunfu Jin, Wuyi Yue, Xiaofei Zhang

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Modeling and Performance Analysis of Task Offloading of Heterogeneous Mobile Edge Computing Networks by Wenwang Li, Haohao Zhou

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Unveiling Flight Operation Hazards’ Interrelation via TEM Model and Network Analysis by Peng He, Zhaoning Zhang, Ruishan Sun

“…By proposing actionable enhancements grounded in these network findings—including resilience-augmented training, flight data-driven risk prioritization, and regulatory updates—this work provides a network-centric framework to address “black swan” risks in modern aviation systems.…”
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Prenatal Self-Evaluation Questionnaire in Peruvian Women: Analysis Through the Psychometric Network by Antonio Serpa-Barrientos, Juan Jose Gabriel Artica Martinez, Enrique Giovanni Pérez-Flores, Jacksaint Saintila

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