Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines by Daniel Yesid Uribe-Tarazona, Carlos Mauricio Ruiz-Diaz, Octavio Andrés González-Estrada

“…This study develops a robust machine learning model based on artificial neural networks to classify six flow patterns in oil-water two-phase flow within horizontal pipelines, a key aspect for ensuring operational efficiency, integrity, and cost-effective design in the oil and gas industry. …”
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Integration of wing pattern morphology and deep learning to support Plusiinae (Lepidoptera: Noctuidae) pest identification by Karina M. Torres, Chenjiao Tan, Kayla A. Mollet, Allan H. Smith-Pardo, Rui Xu, Changying Li, Silvana V. Paula-Moraes

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Brain tumor classification using deep convolutional neural networks by M. Nurtay, M. Kissina, A. Tau, A. Akhmetov, G. Alina, N. Mutovina

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Long-Term Monitoring Reveals Changes in the Small Mammal Community Composition and Co-Occurrence Patterns in the Diannan Area of Yunnan, China by Jinyu Yang, Ting Jia, Wanlong Zhu, Xiaomi Yang

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Dietary patterns derived by Gaussian graphical models and metabolic profiles among overweight and obese individuals by Reyhaneh Mokhtari Hemami, Mohammad Asghari-Jafarabadi, Mahdieh Abbasalizad Farhangi, Maedeh Alipour

“…Identifying dietary networks provides valuable insights into the complex interactions between food groups within typical dietary patterns. …”
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CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems by Nicasio Canino, Pierpaolo Dini, Stefano Mazzetti, Daniele Rossi, Sergio Saponara

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Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM by Rohan Khera, Jing Li, Katherine Simon, Yuan Lu, Joseph S Ross, Talita Duarte-Salles, Michael E Matheny, Harlan Krumholz, Kenneth KC Man, Carlen Reyes, Paul Nagy, Nigam Shah, Martijn J Schuemie, Daniel R Morales, Scott L DuVall, Seng Chan You, Jose D Posada, George Hripcsak, Marc A Suchard, Patrick B Ryan, Anna Ostropolets, Michael Cook, Evan Minty, Andrea Pistillo, Clair Blacketer, Arya Aminorroaya, Thomas Falconer, Nestoras Mathioudakis, Jin J Zhou, Can Yin, Kelly Li, Lovedeep Singh Dhingra, Faaizah Arshad, Mary G Bowring, Fan Bu, David A Dorr, Tina E French, Elizabeth E Hanchrow, Scott Horban, Wallis CY Lau, Yuntian Liu, Michael F McLemore, Akihiko Nishimura, Nicole Pratt, Sarah Seager, Eric YF Wan, Jianxiao Yang

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A quality-of-service evaluation method based on the cloud model for routing protocols in wireless sensor network by Wenxian Jiang, Chenzhe Gu, Jingjing Wu

“…Concepts belonging to different indices can be combined together to evaluate the quality of service. We use a frequent-pattern tree approach to mine association rules of quality-of-service concepts and arrive at a suitable decision. …”
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Study on spatial characteristics of coal seam water injection diffusion and fracture network flow patterns based on B-GFP fluorescent bacteria tracing by Dong XIAO, Suping PENG, Xuechen LI, Hailun HE

“…The adsorption behavior of the fluorescent bacteria at various dilution ratios was systematically analyzed, along with their flow patterns within coal seam fractures. The findings provide a new method for evaluating the effectiveness of hydraulic interventions. …”
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Exploring the performance of LBP-capsule networks with K-Means routing on complex images by Patrick Mensah Kwabena, Benjamin Asubam Weyori, Ayidzoe Abra Mighty

“…Capsule Networks (CapsNets) were proposed to mitigate the shortcomings of Convolutional Neural Networks (CNNs) such as invariance. …”
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The structure of the local detector of the reprint model of the object in the image by A. A. Kulikov

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Different patterns of pre-excitation in a large Italian cohort of asymptomatic non-competitive athletes evaluated by telecardiology screening: Prevalence and ECG features by Martina Molinari, Sergio Setti, Natale Daniele Brunetti, Nicola Di Nunno, Maria Alberta Cattabiani, Giuseppe Molinari

“…Aim of the study: To evaluate and detail the prevalence of the Wolff-Parkinson-White (WPW) syndrome in a large Italian cohort of young NCA. …”
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Study on user influence analysis via regional user interaction model in online social networks by Nan WANG, dong SUNQin, dong ZHOUYa, qin WANGHan, sheng SUILian

“…Conventional user influence researches do not accurate reflect the real interaction pattern between different users in online social networks. …”
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Stator Insulation Partial Discharge Test and Reliability Evaluation of Traction Motor by Yuenan LIU, Min GENG, Junfeng GUI, Ruizhen CUI, Xilian WANG

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Evaluating research and impact: a bibliometric analysis of research by the NIH/NIAID HIV/AIDS clinical trials networks. by Scott R Rosas, Jonathan M Kagan, Jeffrey T Schouten, Perry A Slack, William M K Trochim

“…We also examined collaboration and interdisciplinarity across the initiative, through network analysis and modeling of co-authorship patterns. …”
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User Trajectory Prediction in Cellular Networks Using Multi-Step LSTM Approaches: Case Study and Performance Evaluation by Iskandar, Hajiar Yuliana, Hendrawan, Adriel Timoteo, Fabian Rafinanda Benyamin, Naufal Bhanu Anargyarahman

“…User trajectory prediction is a critical component in enhancing network resource management and improving Quality of Service (QoS) in 5G cellular networks. …”
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Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks by Glendyn D. King, Md Asaduzzaman Towfiq, Ali C. Gurbuz, Bedri A. Cetiner

“…This work introduces a novel approach for predicting the complex element weights of a rectangular planar phased array for a desired beam pattern using physics-aware convolutional neural networks (PA-CNN). …”
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Lulu Filterized Lin’s correlative Theil-Sen regression-based fully connected deep multilayer perceptive neural network for eye gaze pattern recognition by Rathi K., Srinivasan K.

“…Traditional tracking schemes usually need accurate personal calibration procedure to evaluate the particular eye metrics. In order to improve the accurate gaze estimation, Lulu Filterized Lin’s Correlative Theil–Sen Regression-based Fully Connected Deep Multilayer Perceptive Neural Network (LFLCTR-FCDMPNN) is designed for accurate gaze pattern identification through lesser time consumption. …”
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Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

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Prediction of Vanadium Contamination Distribution Pattern Through Remote Sensing Image Fusion and Machine Learning by Zipeng Zhao, Yuman Sun, Weiwei Jia, Jinyan Yang, Fan Wang

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