Embedding and classifying test execution traces using neural networks by Foivos Tsimpourlas, Gwenyth Rooijackers, Ajitha Rajan, Miltiadis Allamanis

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Auto-Probabilistic Mining Method for Siamese Neural Network Training by Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov

“…These findings highlight the potential effectiveness of the developed loss function and mining method in addressing a wide range of pattern recognition challenges.…”
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Spatiotemporal evolutionary patterns and influencing factors of urban carbon emissions in China by Qifeng Meng, Chunyi Li

“…Additionally, a novel method ranking the importance of nodes based on the Global Average Structural Entropy (GASE) model was proposed to evaluate the influence of nodes in the urban carbon emissions network. …”
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Design and Evaluation of Steganographic Channels in Fifth-Generation New Radio by Markus Walter, Jörg Keller

“…The fifth generation of mobile networks (5G) introduced 5G New Radio as a radio access technology that meets current bandwidth, quality, and application requirements. …”
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Performance Evaluation of Vehicle Ad hoc Networks Under Wi-Fi-6 Technology by Ahmed Salih Hasan, Basim Mahmood

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Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks by Stephen Afrifa, Tao Zhang, Peter Appiahene, Xin Zhao, Vijayakumar Varadarajan, Thomas Atta-Darkwah, Yanzhang Geng, Daniel Gyamfi, Rose-Mary Owusuaa Mensah Gyening

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A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks by Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Perez-Cruz, Martin Raubal

“…To achieve this, we employ individual mobility models to synthesize location visit sequences and control behavior dynamics by intervening in their data generation process. We evaluate the interventional location sequences using mobility metrics and input them into well-trained networks to analyze performance variations. …”
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Evolving treatment patterns and outcomes among patients with metastatic urothelial carcinoma post-avelumab maintenance approval: insights from The US Oncology Network by H. Li, S. Sura, A. Babcock, L. Herms, J. Guo, P. Conkling, S. Franco, P. Singhal, R. Mamtani, M. Bupathi

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<p><strong>Evaluation of geostatistical method and hybrid artificial neural network with imperialist competitive algorithm for predicting distribution pattern of <em>Tetranychus</em> <em>urticae</em> (Acari: Tetranychidae) in cucumber field of Behbahan, Iran</strong></p> by Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi-Sohani

“… In this study, the statistical methods and artificial neural network (ANN) were used to estimate the spatial distribution of Tetranychus urticae in cucumber field of Behbahan, Iran. …”
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Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning by Yuto Okawa, Suguru Kanoga, Takayuki Hoshino, Shin-Nosuke Ishikawa

“…A convolutional neural network was employed as the backbone model. To evaluate the impact of CL methods, a publicly available sEMG dataset comprising 30-day data from five subjects was used. …”
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Diel and Annual Patterns of Vocal Activity of Three Neotropical Wetland Birds Revealed via BirdNET by Cristian Pérez-Granados, Karl-L. Schuchmann

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Mapping the scientific structure of organization and management of enterprises using complex networks by Alicia Olivares-Gil, Adrián Arnaiz-Rodríguez, José Miguel Ramírez-Sanz, José Luis Garrido-Labrador, Virginia Ahedo, César García-Osorio, José Ignacio Santos, José Manuel Galán

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Hybrid statistical-algorithmic approach using the frog algorithm to optimize blast patterns for reducing blast vibrations by Abbas Khajouei Sirjani, Farhang Sereshki, Mohammad Ataei, Manoj Khandelwal, Hojatollah Mohammadi Anayi, Seyed Mohammad Mehdi Mousavi Nasab, Mohammad Amiri Hosseini

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Multi-Scale Venation Pattern Analysis for Medicinal Plant Species Recognition by Arnav Sanjay Karnik, Nikhil Nair, Yashas Sagili, P. B. Pb

“…To validate the effectiveness of our approach, we developed and evaluated three distinct model architectures: 1) a modified ResNet-50 model utilizing transfer learning with an adapted input pipeline for venation-aware channels; 2) a custom-built convolutional neural network, VenationNet, explicitly designed for multi-scale venation analysis; and 3) a Dual-Stream CNN architecture that processes leaf texture and venation maps independently before merging via attention-based fusion. …”
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An Evaluation Method of Road Link Functionality Using Individual Trajectory Data and Weighted Network Analysis by Jisup Shim, Jiho Yeo

“…Those network indices make it possible to evaluate the functioning of roads based on people’s travel patterns and to detect critical links that are irreplaceable and difficult to detour. …”
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Supply and demand flow patterns and optimization of food ecosystem services in China’s Yangtze River Delta by Xiaoling Qiu, Xiaoling Qiu, Xinmei Wang, Xinmei Wang, Zeni Wang, Zeni Wang, Wei He, Wei He

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Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

“…Committing a crime represents one of the most significant social harms, necessitating the involvement of police and judicial institutions for effective management. Assessing, evaluating, and identifying crime patterns, as well as detecting and preventing criminal activities, have been the focal points of judicial and law enforcement agencies since ancient times. …”
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Bus Network Adjustment Pre-Evaluation Based on Biometric Recognition and Travel Spatio-Temporal Deduction by Qingbo Wei, Nanfeng Zhang, Yuan Gao, Cheng Chen, Li Wang, Jingfeng Yang

“…Traditional simulation methods, however, face limitations in identifying passengers and understanding how their travel patterns may change. To address this issue, a pre-evaluation method has been developed, leveraging the spatial distribution of bus networks and the spatio-temporal behavior of passengers. …”
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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

“…To address these issues, this study proposes an improved LSTM neural network model for ROP prediction (CBT-LSTM). This model integrates the capability of a two-dimensional convolutional neural network (2D-CNN) for multi-feature extraction, the advantages of bidirectional long short-term memory networks (BiLSTM) for processing bidirectional temporal information, and the dynamic weight adjustment of the time pattern attention mechanism (TPA) for extracting crucial information in BiLSTM, effectively capturing key features in temporal data. …”
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Evaluation of Performance Metrics Required in Proper Selection of SDN Controller for Integrated Satellite-Terrestrial Networks by Oluwatobi A. Ayofe, Mu'azu J. Musa, Zanna M. Abdullahir, Abdoulie M.S. Tekanyi, Aliyu D. Usman, Ezekiel E. Agbon, Emmanuel A. Otsapa, Agburu O. Adikpe, Matthew Iyobhebhe, Paul Thomas Muge

“…Five SDN controllers were subjected to evaluation and they are Open Network Operating System (ONOS), Opendaylight (ODL), Floodlight (FL), Ryu, and Pox. …”
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