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Enhanced Emotion Recognition Using a Hybrid Autoencoder-LSTM Model Optimized with a Hybrid ACO-WOA Algorithm for Hyperparameter Tuning

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International Journal of Advanced Computer science and Applications 2025年第4期16卷 861-876页

作者： Waiker, Vinod Ramesh, Janjhyam Venkata Naga Bala, Ms Kiran Krishnaiah, V.V. Jaya Rama Jackulin, T. Muniyandy, Elangovan Shahin, Osama R. Datta Meghe Institute of Management Studies Maharashtra Nagpur India Department of CSE Graphic Era Hill University Dehradun248002 India Department of CSE Graphic Era Deemed To Be University Uttarakhand Dehradun248002 India Department of Computer Science College of Engineering and Computer Science Jazan University Jazan Saudi Arabia Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram India Department of CSE Panimalar Engineering College Tamil Nadu Chennai India Department of Biosciences-Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai602 105 India Applied Science Research Center Applied Science Private University Amman Jordan Department of Computer Science College of Computer and Information Sciences Jouf University Saudi Arabia Physics and Mathematics Department Faculty of Engineering Helwan University Helwan Egypt

Emotion recognition is vital in the human Computer interaction because it improves interaction. Therefore, this paper proposes an improved method for emotion recognition regarding the Hybrid Autoencoder-Long Short-Term Memory (LSTM) model and the newly developed hybrid approach of the Ant Colony Optimization (ACO) and Whale Optimization Algorithm (WOA) for hyperparameters tuning. In this case, Autoencoder can reduce input data dimensionality for input data and find the features relevant for the model’s work. In addition, LSTM is able to work with temporal structures of sequential inputs like speech and videos. The contribution of this research lies in the novel combination method of ACO-WOA which aims at tweaking hyperparameters of Autoencoder-LSTM model. Global aspect of ACO and WOA thereby improve the search efficiency and the accuracy of the proposed emotion recognition system and its generalization capacity. In context with the benchmark dataset for the experimentations of emotion recognition, it has established the efficiency of the proposed model in terms of the conventional methods. Recall rates in recognitive intended various emotions and different modalities were also higher in the hybrid Autoencoder-LSTM model. The optimization algorithms like the ACO-WOA also supported in reducing the computational cost which arose due to hyperparameters tuning. The implementation of this paper is done through Python Software. This implementation shows a high accuracy of 94.12% and 95.94% for audio datasets and image datasets respectively when compared with other deep learning models of Conv LSTM and VGG16. Therefore, the research shows that the presented hybrid approach can be a useful solution for successfully employing emotion recognition for enhancing the creation of the empathetic AI systems and for improving user interactions within various fields including healthcare, entertainment, and customer support. © (2025), (science and Information Organization). All rights

关键词： Ant colony optimization

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Dimensionless machine learning: imposing exact units equivariance

The Journal of Machine Learning Research

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The Journal of Machine Learning Research 2023年第1期24卷 4923-4954页

作者： Soledad Villar Weichi Yao David W. Hogg Ben Blum-Smith Bianca Dumitrascu Department of Applied Mathematics and Statistics Mathematical Institute for Data Science Johns Hopkins University Department of Technology Operations and Statistics New York University Center for Cosmology and Particle Physics Department of Physics New York University Max-Planck-Institut für Astronomie Flatiron Institute a Division of the Simons Foundation Department of Applied Mathematics and Statistics Johns Hopkins University Department of Computer Science and Technology Cambridge University

Units equivariance (or units covariance) is the exact symmetry that follows from the requirement that relationships among measured quantities of physics relevance must obey self-consistent dimensional scalings. Here, we express this symmetry in terms of a (non-compact) group action, and we employ dimensional analysis and ideas from equivariant machine learning to provide a methodology for exactly units-equivariant machine learning: For any given learning task, we first construct a dimensionless version of its inputs using classic results from dimensional analysis and then perform inference in the dimensionless space. Our approach can be used to impose units equivariance across a broad range of machine learning methods that are equivariant to rotations and other groups. We discuss the in-sample and out-of-sample prediction accuracy gains one can obtain in contexts like symbolic regression and emulation, where symmetry is important. We illustrate our approach with simple numerical examples involving dynamical systems in physics and ecology.

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Multi-phase-field simulation of austenite peritectic solidification based on a ferrite grain

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Chinese physics B 2021年第1期30卷 572-577页

作者： Chao Yang Jing Wang Junsheng Wang Yu Liu Guomin Han Haifeng Song Houbing Huang School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China Laboratory of Computational Physics Institute of Applied Physics and Computational MathematicsBeijing 100088China Software Center for High Performance Numerical Simulation China Academy of Engineering PhysicsBeijing 100088China

A multi-phase-field model is implemented to investigate the peritectic solidification of Fe-C alloy. The nucleation mode of austenite is based on the local driving force, and two different thicknesses of the primary austenite on the surface of the ferrite equiaxed crystal grain are used as the initial conditions. The simulation shows the multiple interactions of ferrite, austenite, and liquid phases, and the effects of carbon diffusion, which presents the non-equilibrium dynamic process during Fe-C peritectic solidification at the mesoscopic scale. This work not only reveals the influence of the austenite nucleation position, but also clarifies the formation mechanism of liquid phase channels and molten pools. Therefore, the present study contributes to the understanding of the micro-morphology and micro-segregation evolution mechanisms of Fe-C alloy during peritectic solidification.

关键词： multi-phase-field simulation morphology evolution peritectic solidification carbon diffusion Fe-C alloy

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Unified Gas-Kinetic Wave-Particle Methods VI:Disperse Dilute Gas-Particle Multiphase Flow

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Communications in Computational physics 2022年第3期31卷 669-706页

作者： Xiaojian Yang Chang Liu Xing Ji Wei Shyy Kun Xu Department of Mechanical and Aerospace Engineering Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina Institute of Applied Physics and Computational Mathematics BeijingChina Department of Mathematics Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications Hong Kong University of Science and TechnologyHong KongChina Shenzhen Research Institute Hong Kong University of Science and TechnologyShenzhenChina

A coupled gas-kinetic scheme(GKS)and unified gas-kinetic wave-particle(UGKWP)method for the disperse dilute gas-particle multiphaseflow is *** the two-phaseflow,the gas phase is always in the hydrodynamic regime and is fol-lowed by GKS for the Navier-Stokes *** particle phase is solved by UGKWP in all regimes from particle trajectory crossing to the hydrodynamic wave interac-tion with the variation of particle’s Knudsen *** the intensive particle colli-sion regime,the UGKWP gives a hydrodynamic wave representation for the particle phase and the GKS-UGKWP for the two-phaseflow reduces to the two-fluid Eulerian-Eulerian(EE)*** the rarefied regime,the UGKWP tracks individual particle and the GKS-UGKWP goes back to the Eulerian-Lagrangian(EL)*** the tran-sition regime for the solid particle,the GKS-UGKWP takes an optimal choice for the wave and particle decomposition for the solid particle phase and connects the EE and EL methods *** GKS-UGKWP method will be tested in allflow regimes with a large variation of Knudsen number for the solid particle transport and Stokes number for the two-phase *** is confirmed that GKS-UGKWP is an efficient and accurate multiscale method for the gas-particle two-phaseflow.

关键词： Unified gas-kinetic wave-particle method gas-kinetic scheme disperse gas-particle two-phaseflow.

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Learning Interaction Kernels for Agent Systems on Riemannian Manifolds 38

Learning Interaction Kernels for Agent Systems on Riemannian...

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38th International Conference on Machine Learning, ICML 2021

作者： Maggioni, Mauro Miller, Jason Qiu, Hongda Zhong, Ming Department of Applied Mathematics & Statistics Johns Hopkins University United States Department of Mathematics Department of Applied Mathematics & Statistics Mathematical Institute for Data Science Johns Hopkins University United States

ISBN: (纸本)9781713845065

Interacting agent and particle systems are extensively used to model complex phenomena in science and engineering. We consider the problem of learning interaction kernels in these dynamical systems constrained to evolve on Riemannian manifolds from given trajectory data. The models we consider are based on interaction kernels depending on pairwise Riemannian distances between agents, with agents interacting locally along the direction of the shortest geodesic connecting them. We show that our estimators converge at a rate that is independent of the dimension of the state space, and derive bounds on the trajectory estimation error, on the manifold, between the observed and estimated dynamics. We demonstrate the performance of our estimator on two classical first order interacting systems: Opinion Dynamics and a Predator-Swarm system, with each system constrained on two prototypical manifolds, the 2-dimensional sphere and the Poincaré disk model of hyperbolic space. Copyright © 2021 by the author(s)

关键词： Dynamical systems

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Critical nonlinear aspects of hopping transport for reconfigurable logic in disordered dopant networks

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Physical Review applied 2024年第2期22卷 024063页

作者： Henri Tertilt Jonas Mensing Marlon Becker Wilfred G. van der Wiel Peter A. Bobbert Andreas Heuer Institute for Physical Chemistry Department of Physics NanoElectronics Group Faculty of Electrical Engineering Mathematics and Computer Science MESA+ Institute for Nanotechnology and Center for Brain-Inspired Nano Systems (BRAINS) Department of Applied Physics Center for Computational Energy Research (CCER)

Nonlinear behavior in the hopping transport of interacting charges enables reconfigurable logic in disordered dopant network devices, where voltages applied at control electrodes tune the relation between voltages applied at input electrodes and the current measured at an output electrode. From kinetic Monte Carlo simulations we analyze the critical nonlinear aspects of variable-range hopping transport for realizing Boolean logic gates in these devices on three levels. First, we quantify the occurrence of individual gates for random choices of control voltages. We find that linearly inseparable gates such as the xor gate are less likely to occur than linearly separable gates such as the and gate, despite the fact that the number of different regions in the multidimensional control voltage space for which and or xor gates occur is comparable. Second, we use principal-component analysis to characterize the distribution of the output current vectors for the (00,10,01,11) logic input combinations in terms of eigenvectors and eigenvalues of the output covariance matrix. This allows a simple and direct comparison of the behavior of different simulated devices and a comparison to experimental devices. Third, we quantify the nonlinearity in the distribution of the output current vectors necessary for realizing Boolean functionality by introducing three nonlinearity indicators. The analysis provides a physical interpretation of the effects of changing the hopping distance and temperature and is used in a comparison with data generated by a deep neural network trained on a physical device.

关键词： Carrier dynamics Dynamics of networks Electrical conductivity Fitness Hopping transport Network optimization Optimization problems Temperature

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Bias Tunable and High Temperature Characteristics in Ratchet Detector

Bias Tunable and High Temperature Characteristics in Ratchet...

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2023 Cross Strait Radio science and Wireless Technology Conference, CSRSWTC 2023

作者： Wang, Yi Han, Shangjie Cai, Jiaxuan Bai, Peng Yang, Ning Chu, Weidong Li, Xiaohong Zhang, Yueheng Xie, Yan Chen, Meng Wang, Yingxin Zhao, Ziran School of Information Science and Technology North China University of Technology Beijing100144 China Institute of Applied Physics and Computational Mathematics Beijing100088 China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Tsinghua University Department of Engineering Physics Beijing100084 China

ISBN: (纸本)9798350358971

The ratchet effect has promising applications in radiation detection. We propose a ratchet structure that can achieve broadband terahertz (THz) detection. In this paper, we focus on the bias-tunable characteristics of the ratchet structure and its high-temperature operating characteristics. We give the photocurrent spectrum response characteristics of the device under different bias voltages and analyze the reasons for the bias-dependent characteristics. The response photocurrent results of the device to the blackbody under different bias voltages are also analyzed. The high operating temperature characteristics of the device under zero bias are also given. © 2023 IEEE.

关键词： bias tunable broadband THz response ratchet

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Direct measurement of high-lying vibrational repumping transitions for molecular laser cooling

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Physical Review A 2023年第6期107卷 062805-062805页

作者： Nickolas H. Pilgram Arian Jadbabaie Chandler J. Conn Nicholas R. Hutzler Division of Engineering and Applied Science California Institute of Technology Pasadena California 91125 USA Division of Physics Mathematics and Astronomy California Institute of Technology Pasadena California 91125 USA

Molecular laser cooling and trapping requires addressing all spontaneous decays to excited vibrational states that occur at the ≳10−4–10−5 level, which is accomplished by driving repumping transitions out of these states. However, the transitions must first be identified spectroscopically at high resolution. A typical approach is to prepare molecules in excited vibrational states via optical cycling and pumping, which requires multiple high-power lasers. Here, we demonstrate a general method to perform this spectroscopy without the need for optical cycling. We produce molecules in excited vibrational states by using optically driven chemical reactions in a cryogenic buffer gas cell, and implement frequency-modulated absorption to perform direct, sensitive, high-resolution spectroscopy. We demonstrate this technique by measuring the spectrum of the Ã2Π1/2(1,0,0)–X̃2Σ+(3,0,0) band in YbOH174. We identify the specific vibrational repump transitions needed for photon cycling, and combine our data with previous measurements of the Ã2Π1/2(1,0,0)–X̃2Σ+(0,0,0) band to determine all of the relevant spectral constants of the X̃2Σ+(3,0,0) state. This technique achieves high signal to noise, can be further improved to measure increasingly high-lying vibrational states, and is applicable to other molecular species favorable for laser cooling.

关键词： Cooling & trapping Molecular spectra Molecule trapping & guiding Optical absorption spectroscopy Spectroscopy

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High-throughput volumetric adaptive optical imaging using compressed time-reversal matrix

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Light(science & Applications) 2022年第1期11卷 114-126页

作者： Hojun Lee Seokchan Yoon Pascal Loohuis Jin Hee Hong Sungsam Kang Wonshik Choi Center for Molecular Spectroscopy and Dynamics Institute for Basic ScienceSeoul 02841Korea Department of Physics Korea UniversitySeoul 02841Korea Department of Applied Mathematics University of TwenteDrienerlolaan 57522 NB EnschedeNetherlands Achmea Holding BV Handelsweg 23707 NH ZeistNetherlands

Deep-tissue optical imaging suffers from the reduction of resolving power due to tissue-induced optical aberrations and multiple scattering *** matrix approaches recording the maps of backscattered waves for all the possible orthogonal input channels have provided formidable solutions for removing severe aberrations and recovering the ideal diffraction-limited spatial resolution without relying on fluorescence labeling and guide ***,measuring the full input–output response of the tissue specimen is time-consuming,making the real-time image acquisition ***,we present the use of a time-reversal matrix,instead of the reflection matrix,for fast high-resolution volumetric imaging of a mouse *** time-reversal matrix reduces two-way problem to one-way problem,which effectively relieves the requirement for the coverage of input *** a newly developed aberration correction algorithm designed for the time-reversal matrix,we demonstrated the correction of complex aberrations using as small as 2%of the complete basis while maintaining the image reconstruction fidelity comparable to the fully sampled reflection *** to nearly 100-fold reduction in the matrix recording time,we could achieve real-time aberration-correction imaging for a field of view of 40×40µm^(2)(176×176 pixels)at a frame rate of 80 ***,we demonstrated high-throughput volumetric adaptive optical imaging of a mouse brain by recording a volume of 128×128×125µm^(3)(568×568×125 voxels)in 3.58 s,correcting tissue aberrations at each and every 1µm depth section,and visualizing myelinated axons with a lateral resolution of 0.45µm and an axial resolution of 2µm.

关键词： matrix correction recording

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Impact of Noise Level on the Accuracy of Automated Measurement of CT Number Linearity on ACR CT and Computational Phantoms

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Journal of Biomedical physics and Engineering 2023年第4期13卷 353-362页

作者： Anam, Choirul Amilia, Riska Naufal, Ariij Sutanto, Heri Dwihapsari, Yanurita Fujibuchi, Toshioh Dougherty, Geoff Department of Physics Faculty of Sciences and Mathematics Diponegoro University Jl. Prof Soedarto SH Tembalang Central Java Semarang50275 Indonesia Department of Physics Faculty of Science and Data Analytics Institute Teknologi Sepuluh Nopember Kampus ITS Sukolilo East Java Surabaya60111 Indonesia Department of Health Sciences Faculty of Medical Sciences Kyushu University 3-1-1 Maidashi Higashi-ku Fukuoka812-8582 Japan Department of Applied Physics and Medical Imaging California State University Channel Islands CamarilloCA93012 United States

Background: Methods for segmentation, i.e., Full-segmentation (FS) and Segmentation-rotation (SR), are proposed for maintaining Computed Tomography (CT) number linearity. However, their effectiveness has not yet been tested against noise. Objective: This study aimed to evaluate the influence of noise on the accuracy of CT number linearity of the FS and SR methods on American College of Radiology (ACR) CT and computational phantoms. Material and Methods: This experimental study utilized two phantoms, ACR CT and computational phantoms. An ACR CT phantom was scanned by a 128-slice CT scanner with various tube currents from 80 to 200 mA to acquire various noises, with other constant parameters. The computational phantom was added by different Gaussian noises between 20 and 120 Hounsfield Units (HU). The CT number linearity was measured by the FS and SR methods, and the accuracy of CT number linearity was computed on two phantoms. Results: The two methods successfully segmented both phantoms at low noise, i.e., less than 60 HU. However, segmentation and measurement of CT number linearity are not accurate on a computational phantom using the FS method for more than 60-HU noise. The SR method is still accurate up to 120 HU of noise. Conclusion: The SR method outperformed the FS method to measure the CT number linearity due to its endurance in extreme noise. © Journal of Biomedical physics and Engineering.

关键词： Phantoms

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