DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation by Mingxin Gan, Hang Zhang

“…To tackle these problems, we enrich the latent representations by incorporating user-generated content and item raw content. Deep neural networks have emerged as very appealing in learning effective representations in many applications. …”
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Arabic Speech Recognition Based on Encoder-Decoder Architecture of Transformer by Mohanad Sameer, Ahmed Talib, Alla Hussein, Husniza Husni

“…Previous choices for the Arabic ASR architecture have been time-delay neural networks, recurrent neural networks (RNN), and long short-term memory (LSTM). …”
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Evaluating Urban Sewage Sludge Distribution on Agricultural Land Using Interpolation and Machine Learning Techniques by Andrea Lazzari, Simone Giovinazzo, Giovanni Cabassi, Massimo Brambilla, Carlo Bisaglia, Elio Romano

“…Among the interpolation methods, the IDW model combined with neural networks achieved the highest accuracy, with an MCC of 0.9820. …”
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On the assessment and reliability of political and ideological education in colleges using deep learning methods by Yongsheng Ma, Xianhui Sun, Aiqun Ma

“…Sophisticated deep learning techniques including artificial neural networks (ANN), convolutional neural networks (CNN), and support vector machines (SVM) were utilized to enhance the reliability of these evaluations. …”
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Neuronal Ensemble Decoding Using a Dynamical Maximum Entropy Model by Duho Sin, Jinsoo Kim, Jee Hyun Choi, Sung-Phil Kim

“…This decoder blends a dynamical system model of neural networks into the maximum entropy model to better suit for nonstationary circumstances. …”
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EEG Source Imaging Guided by Spatiotemporal Specific fMRI: Toward an Understanding of Dynamic Cognitive Processes by Thinh Nguyen, Thomas Potter, Trac Nguyen, Christof Karmonik, Robert Grossman, Yingchun Zhang

“…To characterize the dynamics of the neural networks and the underlying neuroplasticity of the central motor system, neuroimaging tools with high spatial and temporal accuracy are desirable. …”
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On a New Faster Implicit Fixed Point Iterative Scheme in Convex Metric Spaces by Renu Chugh, Preety Malik, Vivek Kumar

“…Applications of implicit iterations to RNN (Recurrent Neural Networks) analysis are also presented.…”
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Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolit... by Sungwook Jung

“…The deep learning algorithms used in the analysis are deep neural networks (DNNs) and recurrent neural networks (RNNs). …”
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The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network by A.V. Medvedev, B. Lehmann

“…New artificial intelligence methods such as deep learning neural networks can provide powerful tools for automated analysis of EEG. …”
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Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification by C. Fernandez-Lozano, C. Canto, M. Gestal, J. M. Andrade-Garda, J. R. Rabuñal, J. Dorado, A. Pazos

“…Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines (SVM). …”
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Composite Learning Sliding Mode Control of Flexible-Link Manipulator by Bin Xu, Pengchao Zhang

“…The sliding mode control is proposed while the adaptive design is developed using neural networks (NNs) and disturbance observer (DOB) where the novel update laws for NN and DOB are designed. …”
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A Step-by-Step Guide for Automated Plant Canopy Delineation Using Deep Learning: An Example in Strawberry Using ArcGIS Pro Software by Amr Abd-Elrahman, Katie Britt, Vance Whitaker

“…Anyone with basic geographic information system analysis skills may follow along with the demonstration and learn to implement the Mask Region Convolutional Neural Networks model, a widely used model for object detection, to delineate strawberry canopies using ArcGIS Pro Image Analyst Extension in a simple workflow. …”
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Classification of earth surface image segmentation methods by D. V. Kypriyanava, D. Y. Pertsau, M. M. Tatur

“…Such approaches as template matching, machine learning and deep neural networks, as well as application of knowledge about analyzed objects are considered. …”
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A Step Towards Neuroplasticity: Capsule Networks with Self-Building Skip Connections by Nikolai A. K. Steur, Friedhelm Schwenker

“…<b>Background:</b> Integrating nonlinear behavior into the architecture of artificial neural networks is regarded as essential requirement to constitute their effectual learning capacity for solving complex tasks. …”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…The results revealed that research primarily focuses on Convolutional Neural Networks (CNNs) and their variants, with a strong emphasis on transfer learning using pre-trained models. …”
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Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT by Lal Khan, Atika Qazi, Hsien-Tsung Chang, Mousa Alhajlah, Awais Mahmood

“…Abstract Sentiment analysis (SA) as a research field has gained popularity among the researcher throughout the globe over the past 10 years. Deep neural networks (DNN) and word vector models are employed nowadays and perform well in sentiment analysis. …”
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An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlineszenodo by Salma Kazemi Rashed, Malou Arvidsson, Rafsan Ahmed, Sonja Aits

“…In order to develop and benchmark algorithms and neural networks that can perform this task, high-quality datasets with annotated cell outlines are needed.We have created a dataset, named Aitslab_bioimaging2, consisting of 60 fluorescence microscopy images with EGFP-Galectin-3 labelled cells and their hand-labelled outlines. …”
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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

“…This study investigates why researchers often focus on segment-specific bark images for tree species classification via deep neural networks rather than large or entire tree images. …”
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Global Uniform Asymptotic Stability of a Class of Switched Linear Systems with an Infinite Number of Subsystems by L. F. Araghi, A. A. Suratgar, E. Feizi

“…Stability of switching systems with an infinite number of subsystems is important in some structure of systems, like fuzzy systems, neural networks, and so forth. Because of the relationship between stability of a set of matrices and switching systems, this paper first studies the stability of a set of matrices, then and the results are applied for stability of switching systems. …”
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Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties by Hongyan Yang, Huanqing Wang, Hamid Reza Karimi

“…Radical basis function (RBF) neural networks are employed to model the packaged unknown nonlinearities, and then an adaptive neural control approach is developed by using backstepping technique. …”
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