Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines by Enamundram Naga Karthik, Farida Cheriet, Catherine Laporte

“…Uncertainty estimations through approximate Bayesian inference provide interesting insights to deep neural networks' behavior. In unsupervised learning tasks, where expert labels are unavailable, it becomes ever more important to critique the model through uncertainties. …”
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Noise-agnostic quantum error mitigation with data augmented neural models by Manwen Liao, Yan Zhu, Giulio Chiribella, Yuxiang Yang

“…Most existing methods require prior knowledge of the noise model or the noise parameters. Deep neural networks have the potential to lift this requirement, but current models require training data produced by ideal processes in the absence of noise. …”
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Resource Aware Routing in Heterogeneous Opportunistic Networks by Sadaf Yasmin, Rao Naveed Bin Rais, Amir Qayyum

“…We also devise a method based on learning rules of neural networks which dynamically determines relative importance of each dimension to maximize next-hop utility of a node. …”
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PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model by Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang

“…So, when applied to some of the brain-inspired neural networks, such as Hierarchical Temporal Memory (HTM), which required the input of a binary vector, the existing methods failed. …”
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Experimental Investigation and Prediction of Compressive Strength of Ultra-High Performance Concrete Containing Supplementary Cementitious Materials by Jisong Zhang, Yinghua Zhao, Haijiang Li

“…Furthermore, to minimise the experimental workload of future studies, a prediction model is developed to predict the compressive strength of the UHPC using artificial neural networks (ANNs). The results indicate that the developed ANN model has high accuracy and can be used for the prediction of the compressive strength of UHPC with these SCMs.…”
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Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia by Caitlin A. Finney, David A. Brown, Artur Shvetcov

“…Tree-based machine learning algorithms and artificial neural networks were used. APOE genotype was the best predictor of dementia cases and healthy controls. …”
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A Vortex Identification Method Based on Extreme Learning Machine by Jun Wang, Lei Guo, Yueqing Wang, Liang Deng, Fang Wang, Tong Li

“…Aiming at the above problems, we present a novel vortex identification method based on the Convolutional Neural Networks-Extreme Learning Machine (CNN-ELM). This method transforms the vortex identification problem into a binary classification problem, and can quickly, objectively, and robustly identify vortices from the flow field. …”
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Interaction with Artificial Intelligence as a Potential of Foreign Language Teaching Program in Graduate School by T. V. Potemkina, Yu. A. Avdeeva, U. Yu. Ivanova

“…A concept of a course for teaching graduate students a foreign language using digital tools based on neural networks is proposed.…”
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Forward Models Applied in Visual Servoing for a Reaching Task in the iCub Humanoid Robot by Daniel Fernando Tello Gamarra, Lord Kenneth Pinpin, Cecilia Laschi, Paolo Dario

“…We constructed a forward model using the data obtained from only a single reaching attempt. ANFIS neural networks are used to construct the forward model, but the forward model is updated online with new information that comes from each reaching attempt. …”
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Developing a Suitable Model for Water Uptake for Biodegradable Polymers Using Small Training Sets by Loreto M. Valenzuela, Doyle D. Knight, Joachim Kohn

“…We first built semiempirical models using Artificial Neural Networks and all water uptake data, as individual input. …”
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Exploring Generative Adversarial Networks: Comparative Analysis of Facial Image Synthesis and the Extension of Creative Capacities in Artificial Intelligence by Tomas Eglynas, Dovydas Lizdenis, Aistis Raudys, Sergej Jakovlev, Miroslav Voznak

“…Neural networks have become foundational in modern technology, driving advancements across diverse domains such as medicine, law enforcement, and information technology. …”
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Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations by Imelda Romero, Jannes Nys, Giuseppe Carleo

“…Abstract Neural networks have shown to be a powerful tool to represent the ground state of quantum many-body systems, including fermionic systems. …”
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Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM by Igor Peško, Vladimir Mučenski, Miloš Šešlija, Nebojša Radović, Aleksandra Vujkov, Dragana Bibić, Milena Krklješ

“…The paper presents a research of precision that can be achieved while using artificial intelligence for estimation of cost and duration in construction projects. Both artificial neural networks (ANNs) and support vector machines (SVM) are analysed and compared. …”
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Financial Distress Warning: An Evaluation System including Ecological Efficiency by Shuang Wu, Hui Zhang, Yuan Tian, Liyuan Shi

“…Based on the data of listed companies, Data Envelopment Analysis (DEA) is applied to evaluating the business efficiency, financial efficiency, financing efficiency, human capital efficiency, and ecological efficiency, and the accuracy of the evaluation system that includes ecological efficiency is measured by artificial neural networks (ANNs). Besides, the logit model is applied to test the results. …”
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Low-Shot Wall Defect Detection for Autonomous Decoration Robots Using Deep Reinforcement Learning by Fanyu Zeng, Xi Cai, Shuzhi Sam Ge

“…Object detection methods based on deep neural networks require a large number of images with the handcrafted bounding box for training. …”
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Applying Adaptive Neural Fuzzy Inference System to Improve Concrete Strength Estimation in Ultrasonic Pulse Velocity Tests by Loan T. Q. Ngo, Yu-Ren Wang, Yi-Ming Chen

“…To improve the result of nondestructive testing methods, this research applies artificial neural networks and adaptive neural fuzzy inference system in predicting the concrete strength estimation using nondestructive testing method, the ultrasonic pulse velocity test. …”
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Mathematical Modeling of Properties and Structures of Crystals: From Quantum Approach to Machine Learning by Grzegorz Matyszczak, Christopher Jasiak, Gabriela Rusinkiewicz, Kinga Domian, Michał Brzozowski, Krzysztof Krawczyk

“…., cellular automata, CA), to machine learning (e.g., artificial neural networks, ANNs).…”
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PLANTNET: A DEEP LEARNING MODEL FOR EARLY DETECTION OF PLANT DISEASES by J Lenin, S Muthumarilakshmi, V S Prabhu

“…This paper presents a deep learning model, PlantNET, for early identification of plant leaf infections based on Convolutional Neural Networks (CNNs) trained on a large collection of leaf images in the PlantVillage database, including both healthy and infected samples from several crops. …”
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Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms by Yi-Chung Hu

“…On the basis of fuzzy regression, computational models in intelligence such as neural networks have the capability to be applied to nonlinear interval regression analysis for dealing with uncertain and imprecise data. …”
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Exploring Bare Ownership Supply of Housing in Urban Environments by Maria Rosaria Guarini, Alejandro Segura-de-la-Cal, Francesco Sica, Yilsy Núñez-Guerrero

“…Machine learning analysis based on neural networks and binary logit regression allows for the observation of the particular behavior of the housing supply in bare ownership; it shows the different intrinsic and extrinsic characteristics that determine this Real Estate segment. …”
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