Profiling Intangible Cultural Heritage Visitors through Multilayer Perceptron’s model by Lucía Castaño-Prieto, Miguel Ángel Solano-Sánchez, Amalia Hidalgo-Fernández, Tomás López-Guzmán

Subjects: Get full text

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.

Subjects: “…fully connected deep multilayer perceptive neural network…”
Get full text

Visual contextual perception and user emotional feedback in visual communication design by Jiayi Zhu

Get full text

Learning Omni-Dimensional Spatio-Temporal Dependencies for Millimeter-Wave Radar Perception by Hang Yan, Yongji Li, Luping Wang, Shichao Chen

“…Existing models rely heavily on image-based approaches, which may not be able to fully characterize radar sensor data or efficiently further utilize them for perception tasks. This paper rethinks the approach to modeling radar signals and proposes a novel U-shaped multilayer perceptron network (U-MLPNet) that aims to enhance the learning of omni-dimensional spatio-temporal dependencies. …”
Get full text

Performance analysis of deep neural networks for direction of arrival estimation of multiple sources by Min Chen, Xingpeng Mao, Xiuhong Wang

“…Instead of computing an inverse mapping based on the incomplete forward mapping that relates the signal directions to the array outputs, the DOA problem is approached as a mapping, which can be approximated using a suitable DNN trained with input output pairs. The neural network architecture is based on a multilayer perception and a group of parallel DNNs to perform detection and DOA estimation, respectively. …”
Get full text

Double-Layer Network Model of Bank-Enterprise Counterparty Credit Risk Contagion by Tingqiang Chen, Qinghao Yang, Yutong Wang, Suyang Wang

“…Banks and enterprises constitute a multilayered, multiattribute, multicriteria credit-related super network due to financial transaction behaviors, such as credit, wealth management, savings, and derivatives. …”
Get full text

Vaccination as a Game: Behavioural Dynamics, Network Effects, and Policy Levers—A Comprehensive Review by Pedro H. T. Schimit, Abimael R. Sergio, Marco A. R. Fontoura

“…Papers are organised along five methodological axes: (i) population topology (well-mixed, static and evolving networks, multilayer systems); (ii) decision heuristics (risk assessment, imitation, prospect theory, memory); (iii) additional processes (information diffusion, non-pharmacological interventions, treatment, quarantine); (iv) policy levers (subsidies, penalties, mandates, communication); and (v) pathogen complexity (multi-strain, zoonotic reservoirs). …”
Get full text

Development of Impact Factors Reverse Analysis Method for Software Complexes’ Support Automation by Andrii Pukach, Vasyl Teslyuk, Nataliia Lysa, Liubomyr Sikora

“…A key feature of the proposed approach is to assign the neurons of the hidden layers (of the multilayer perceptron type of artificial neural networks) functional–semantic meaning(s), which they have been deprived of a priori, performing (before this) by default an exclusively operational (calculation) function mainly for the correctness of the training and functioning of the multilayer perceptron itself. …”
Get full text

An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities by Yuanyuan Zhang, Manli Tian, Baolin Liu

“…To improve decoding accuracy, we join by adding the nonlocal-attention mechanism module to the X3D model to capture long-range temporal and spatial dependence, proposing a multilayer perceptron (MLP) module of multi-task loss constraint to build a more accurate regression mapping approach and performing data enhancement through linear interpolation to expand the amount of data to reduce the impact of a small sample.Results and discussionOur findings indicate that the features in the X3D-DNN are biologically relevant, and capture information useful for perception. …”
Get full text

Simulated Centrifugal Fan Blade Fault Diagnosis Based on Modulational Depthwise Convolution–One-Dimensional Convolution Neural Network (MDC-1DCNN) Model by Zhaohui Ren, Yulin Liu, Tianzhuang Yu, Shihua Zhou, Yongchao Zhang, Zeyu Jiang

“…To solve this problem, this paper proposes a centrifugal fan blade fault diagnosis method based on a modulational depthwise convolution (DWconv)–one-dimensional convolution neural network (MDC-1DCNN). Specifically, firstly, a convolutional modulation module (CMM) with strong local perception and global modeling capability is designed by drawing on the Transformer self-attention mechanism and global context modeling idea. …”
Get full text

An artificial neural network approach to comparative aspects: A predictive analysis of magnetic dipole on the heat transfer of maxwell hybrid nano coolants flow in an inclined cyli... by J. Aruna, H. Niranjan

“…The implementation of MATLAB with its built-in bvp4c numerical solver converts the partial differential equations into ordinary differential equations, and a multilayer perception -artificial neural network (ANN) using the Levenberg-Marquardt algorithm predicts skin friction, Nusselt, and Sherwood numbers. …”
Get full text

Prototypical Few-Shot Learning for Histopathology Classification: Leveraging Foundation Models With Adapter Architectures by Kazi Rakib Hasan, Sijin Kim, Junghwan Cho, Hyung Soo Han

“…The iBOT model with multilayer perception adapters fine-tuned using the bias-diminishing cosine similarity-based prototypical network algorithm achieved remarkable accuracy, reaching 95.04% on Camelyon17 Wilds and 96.55% on the NCT dataset with 20 images per class while using less than 0.002% of the dataset. …”
Get full text

CNN-based salient features in HSI image semantic target prediction by Vishal Srivastava, Bhaskar Biswas

“…In the previous CNN-based methods, raw features have directly fed to the MLP (multilayer perception) layers for target prediction whereas we have provided our salient features into a multi-core SVM-based set-up and have achieved high accuracy with low computational time as compared to the previous state-of-art techniques.…”
Get full text

PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH by Abdul-razak Bawa Yussif, Fatih Mangır, Zeynep Karaçor, Ayten Yağmur

“…The result from this paper indicates that the Long-Short Term Memory Neural Network deep learning method gives higher prediction accuracy compared to the Auto Regressive Integrated Moving Average and the Multilayer Perception Neural Network models.…”
Get full text

Prophetic Energy Assessment with Smart Implements in Hydroelectricity Entities Using Artificial Intelligence Algorithm by Abdullah Saleh Alqahtani, Pravin R. Kshirsagar, Hariprasath Manoharan, Praveen Kumar Balachandran, C. K. Yogesh, Shitharth Selvarajan

“…In the fields of sustainable energy predictions, a number of machine learning methods, such as multilayer perceptions MLP, RNN CNN, and LSTM designs, are frequently utilized. …”
Get full text

Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study by Xiangkui Jiang, Bingquan Wang

“…Subsequently, we constructed 6 predictive models using different algorithms: logistic regression, support vector machine, gradient boosting machine, Extreme Gradient Boosting, multilayer perception, and graph convolutional networks. …”
Get full text

Disentangling Contact Location for Stretchable Tactile Sensors from Soft Waveguide Ultrasonic Scatter Signals by Zhiheng Li, Yuan Lin, Peter B. Shull, Hongliang Ren

“…Third, based on the outputs of the CNN, a multilayer perception regression model is applied to acquire the force contact location. …”
Get full text

Dual-task vision transformer for rapid and accurate intracerebral hemorrhage CT image classification by Jialiang Fan, Xinhui Fan, Chengyan Song, Xiaofan Wang, Bingdong Feng, Lucan Li, Guoyu Lu

“…The proposed DTViT framework also incorporates two multilayer perception (MLP)-based decoders to simultaneously identify the presence of ICH and classify the three types of hemorrhage locations. …”
Get full text

Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm by Sandeep Samantaray, Abinash Sahoo, Falguni Baliarsingh

“…., firefly algorithm and particle swarm optimisation (FFAPSO), SVR-FFA, SVR-PSO, SVR and Multilayer perception (MLP), have been examined in the present study. …”
Get full text

Enhanced Plant Leaf Classification over a Large Number of Classes Using Machine Learning by Ersin Elbasi, Ahmet E. Topcu, Elda Cina, Aymen I. Zreikat, Ahmed Shdefat, Chamseddine Zaki, Wiem Abdelbaki

“…The results indicate that the Multilayer Perception algorithm gives 89.48%, the Naïve Bayes Classifier gives 89.63%, Convolutional Neural Networks has 88.72%, and the Hoeffding Tree algorithm gives 89.92% accuracy for the classification of 99 label plant leaf classification problems.…”
Get full text