A Common Data Environment Framework Applied to Structural Life Cycle Assessment: Coordinating Multiple Sources of Information by Lini Xiang, Gang Li, Haijiang Li

“…This paper offers a scalable framework that reduces infrastructure complexity while allowing users the freedom to integrate diverse tools and APIs for customized information management workflows. …”
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Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network by Vibhor Kumar Vishnoi, Krishan Kumar, Brajesh Kumar, Shashank Mohan, Arfat Ahmad Khan

“…However, need of larger training sets, computational complexity, and overfitting, etc. are the major issues with these techniques that still need to be addressed. …”
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A Comparative Analysis of Convolutional Neural Network (CNN): MobileNetV2 and Xception for Butterfly Species Classification by Mehta Pradnyatama, Christy Atika Sari, Eko Hari Rachmawanto, Hussain Md Mehedul Islam

“…Transfer learning with pre-trained ImageNet weights was implemented, and both models were enhanced with custom classification layers. Data augmentation and class weighting mitigated dataset imbalance issues. …”
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Fracture characteristics based on discrete element method by LI Xiaogang, HE Jiangang, YANG Zhaozhong, YI Liangping, HUANG Liuke, DU Bodi, ZHANG Jingqiang

“…For shale which is easy to form simple double-wing fractures, pumping an appropriate amount of acid in the early stage can dissolve the natural fracture filler, so as to reduce the natural fracture cohesion, increase its opening degree, and improve the complexity of fractures.…”
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Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness by David Fernández Llorca, Ronan Hamon, Henrik Junklewitz, Kathrin Grosse, Lars Kunze, Patrick Seiniger, Robert Swaim, Nick Reed, Alexandre Alahi, Emilia Gómez, Ignacio Sánchez, Akos Kriston

“…Abstract This study aims to comprehensively explore the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and their impact on testing procedures. …”
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Monitoring method for borehole images of changes in overlying rock structure during coal mining by Wang Jinchao, Zou Junpeng, Wang Chao, Han Zengqiang, Li Xiaobin, Chen Ming

“…Abstract The migration of overlying rock layers caused by underground coal seam mining is the root cause of all mining pressure manifestations in the mining area. …”
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Informed Consent for Newborn Genomic Screening: Interest-Holder Perspectives on Dynamic Consent in an Evolving Landscape by Marina Okamura, Emma Minchin, Carolyn Mazariego, Jolyn Hersch, Natalie Taylor, Ilona Juraskova

“…However, it also introduces complexities that necessitate enhanced consent processes. …”
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Assessing the Impact of Top-Up Powder Reuse Strategy on MS1 Powder Characteristics and L-PBF Printed Part Properties by Tingting Huang, Kaung Sitt Thu, Zilu Zhang, Luming Che, Peilun Xu, Jerry Ying Hsi Fuh, Heow Pueh Lee

“…This practice complicates tracking recycling cycles, as parts consist of layers from both virgin and recycled powders. The virgin-to-recycled powder ratio significantly influences material properties, though limited research has explored the complexities of combining powders of varying qualities. …”
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DDI-KGAT: A Graph Attention Network on Biomedical Knowledge Graph for the Prediction of Drug-Drug Interactions by Iqra Naseer Kundi, Shahzad Amin Sheikh, Fahad Mumtaz Malik, Kamran Aziz Bhatti

“…Additionally, our approach has several advantages, including simplicity, interpretability, and low-dimensional complexity, making it a promising tool for accelerating drug discovery and development. …”
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Deploying a Wireless Sensor Network to Track Pesticide Pollution in Kiu Wetland Wells: A Field Study by Titus Mutunga, Sinan Sinanovic, Funmilayo B. Offiong, Colin Harrison

“…These results are attributed to prevailing dry weather conditions which limited the leaching of pesticides to lower layers reaching the water table.…”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…Optimization of the ANN architecture yielded a model with six hidden layers, each containing 512 nodes, providing an optimized balance between accuracy and computational complexity. …”
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Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters by Yong Qing, Ke Li, Peng-Fei Zhou, Shi-Ju Ran

“…For instance, we compress 2 linear layers in VGG-16 with approximately 107 parameters to 2 ADTNs with only 424 parameters, improving the testing accuracy on CIFAR-10 from 90.17% to 91.74%. …”
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Securing air defense visual information with hyperchaotic Folded Towel Map-Based encryption by Shamsa Kanwal, Saba Inam, Fahima Hajjej, Ala Saleh Alluhaidan

“…The proposed image encryption is a multi-layered procedure intended to secure image transmission. …”
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Convolutional Neural Networks—Long Short-Term Memory—Attention: A Novel Model for Wear State Prediction Based on Oil Monitoring Data by Ying Du, Hui Wei, Tao Shao, Shishuai Chen, Jianlei Wang, Chunguo Zhou, Yanchao Zhang

“…Ultimately, bidirectional LSTM establishes cross-cyclic temporal dependencies, enabling cascaded fully connected layers with Gaussian activation to generate probabilistic wear state estimations. …”
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Error-correcting codes and genetics by Gérard Battail

“…., that several codes are combined into a layered structure which results in an unequal protection: the older and more fundamental parts of the genomic information are better protected than more recent ones. …”
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Artificial intelligence tool development: what clinicians need to know? by Boon-How Chew, Kee Yuan Ngiam

“…With the increased complexity of the neural layers, deep machine learning (ML) can self-learn and augment many human tasks that require decision-making on the basis of multiple sources of data. …”
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Fast, Robust, and Learned Distribution-Based Sorting by Paolo Ferragina, Mattia Odorisio

“…To answer Q1, we implement a variant of the best-known learned model (i.e., the two-layers RMI) and, also, design a fully new learned model that turns out to be space-time efficient and efficacious in approximating adversarial input distributions. …”
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Care and management of a double burden of chronic diseases: Experiences of patients and perceptions of their healthcare providers. by Nasheeta Peer, Anniza de Villiers, Deborah Jonathan, Cathy Kalombo, Andre-Pascal Kengne

“…<h4>Methods</h4>This study comprised quantitative and qualitative arms with a multi-layered approach. We randomly selected 17 public healthcare facilities providing HIV care across Cape Town and surrounding rural municipalities.…”
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Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…Traditional methods of machine learning require step of feature extraction by manual which leads to time consuming, for it we modified in one-Dimensional convolution neural network architecture for features extraction and features dimension reduction for makes the classification low computational complexity and more accurate.Methods: In this study, we did a comparison between three methods for classification: support vector machine, artificial neural network and one-dimensional convolution neural network. …”
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On the Emergence of the Castellieri Settlements and Possible Effects of Climatic Changes in the 2nd Millennium BC in the Adriatic Region by Anja Hellmuth Kramberger

“…Monkodonja’s architectural complexity, notably the West Gate and Acropolis fortifications, and certain types of artifacts reveal influences from southern regions such the eastern Aegean. …”
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