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Comprehensive Review and Analysis on Facial Emotion Recognition:Performance Insights into Deep and Traditional Learning with Current Updates and Challenges

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Computers, Materials & Continua 2025年第1期82卷 41-72页

作者： Amjad Rehman Muhammad Mujahid Alex Elyassih Bayan AlGhofaily Saeed Ali Omer Bahaj Artificial Intelligence&data analytics Lab College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia MIS Department College of Business Administration Prince Sattam Bin Abdulaziz UniversityAlKharj11942Saudi Arabia

In computer vision and artificial intelligence,automatic facial expression-based emotion identification of humans has become a popular research and industry *** demonstrations and applications in several fields,including computer games,smart homes,expression analysis,gesture recognition,surveillance films,depression therapy,patientmonitoring,anxiety,and others,have brought attention to its significant academic and commercial *** study emphasizes research that has only employed facial images for face expression recognition(FER),because facial expressions are a basic way that people communicate meaning to each *** immense achievement of deep learning has resulted in a growing use of its much architecture to enhance *** review is on machine learning,deep learning,and hybrid methods’use of preprocessing,augmentation techniques,and feature extraction for temporal properties of successive frames of *** following section gives a brief summary of assessment criteria that are accessible to the public and then compares them with benchmark results the most trustworthy way to assess FER-related research topics *** this review,a brief synopsis of the subject matter may be beneficial for novices in the field of FER as well as seasoned scholars seeking fruitful avenues for further *** information conveys fundamental knowledge and provides a comprehensive understanding of the most recent state-of-the-art research.

关键词： Face emotion recognition deep learning hybrid learning CK+ facial images machine learning technological development

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data analytics and optimization for smart industry

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Frontiers of Engineering Management 2021年第2期8卷 157-171页

作者： Lixin TANG Ying MENG Key Laboratory of data analytics and Optimization for Smart Industry Ministry of EducationNortheastern UniversityShenyang 110819China

Industrial intelligence is a core technology in the upgrading of the production processes and management modes of traditional *** by the major development strategies and needs of industrial intellectualization in China,this study presents an innovative fusion structure that encompasses the theoretical foundation and technological innovation of data analytics and optimization,as well as their application to smart industrial ***,this study describes a general methodology for the fusion of data analytics and ***,it identifies some data analytics and system optimization technologies to handle key issues in smart ***,it provides a four-level framework for smart industry based on the theoretical and technological research on the fusion of data analytics and *** framework uses data analytics to perceive and analyze industrial production and logistics *** also demonstrates the intelligent capability of planning,scheduling,operation optimization,and optimal *** analytics and system optimization technologies are employed in the four-level framework to overcome some critical issues commonly faced by manufacturing,resources and materials,energy,and logistics systems,such as high energy consumption,high costs,low energy efficiency,low resource utilization,and serious environmental *** fusion of data analytics and optimization allows enterprises to enhance the prediction and control of unknown areas and discover hidden knowledge to improve decision-making efficiency。Therefore,industrial intelligence has great importance in China’s industrial upgrading and transformation into a true industrial power.

关键词： data analytics system optimization smart industry

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A comprehensive study on fault tolerance in stream processing systems

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Frontiers of Computer Science 2022年第2期16卷 80-97页

作者： Xiaotong WANG Chunxi ZHANG Junhua FANG Rong ZHANG Weining QIAN Aoying ZHOU School of data Science and Engineering East China Normal UniversityShanghai 200062China Advanced data analytics Laboratory of Soochow University Suzhou 215006China

Stream processing has emerged as a useful technology for applications which require continuous and low latency computation on infinite streaming *** stream processing systems(SPSs)usually require distributed deployment on clusters of servers in face of large-scale of data,it is especially common to meet with failures of processing nodes or communication networks,but should be handled seriously considering service quality.A failed system may produce wrong results or become unavailable,resulting in a decline in user experience or even significant financial ***,a large amount of fault tolerance approaches have been proposed for *** approaches often have their own priorities on specific performance concerns,e.g.,runtime overhead and recovery ***,there is a lack of a systematic overview and classification of the state-of-the-art fault tolerance approaches in SPSs,which will become an obstacle for the development of ***,we investigate the existing achievements and develop a taxonomy of the fault tolerance in ***,we propose an evaluation framework tailored for fault tolerance,demonstrate the experimental results on two representative open-sourced SPSs and exposit the possible disadvantages in current ***,we specify future research directions in this domain.

关键词： fault tolerance performance evaluation stream processing

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The Adsorption of Pb(II)Using Silica Gel Synthesized from Chemical Bottle Waste:Optimization Using Box-Behnken Design

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Journal of Renewable Materials 2023年第6期11卷 2913-2924页

作者： Yatim Lailun Ni’mah Nabila Eka Yuningsih Suprapto Suprapto Department of Chemistry Faculty of Science and Data AnalyticsInstitut Teknologi Sepuluh NopemberSurabayaIndonesia

The adsorption of Pb(II)on silica gel synthesized from chemical glass bottle waste has been *** effect of independent variables(adsorbent dose,initial concentration of Pb(II),contact time,and pH)on the Pb(II)removal from water was evaluated and optimized using the Response Surface Methodology(RSM).Under optimized conditions(adsorbent dose:20 mg;contact time:30 min;initial Pb(II)concentration:120 mg.L^(−1);and pH:8),the removal of Pb(II)was 99.77%.The adsorption equilibrium data obtained from the batch experiment were investigated using different isotherm *** Langmuir isotherm model fits the experimental *** shows that the surface of the silica gel synthesized from chemical bottles waste was covered by a Pb(II)*** analysis showed that the synthesized silica gel had a SiO_(2) content of 75.63%.Amorphous silica was observed from XRD ***-EDX characterization showed that Pb was adsorbed on the silica gel *** analysis showed that silica gel has irregular particles with a surface area of 297.08 m2.g^(−1) with a pore radius of 15.74 nm calculated from BET analysis.

关键词： Chemical bottle waste silica gel adsorption box-behnken design response surface methodology

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TopicBubbler:An interactive visual analytics system for cross-level fine-grained exploration of social media data

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Visual Informatics 2023年第4期7卷 41-56页

作者： Jielin Feng Kehao Wu Siming Chen School of data Science Fudan UniversityChina Faculty of Engineering The University of SydneyAustralia Shanghai Key Laboratory of data Science China

How to explore fine-grained but meaningful information from the massive amount of social media data is critical but *** address this challenge,we propose the TopicBubbler,a visual analytics system that supports the cross-level fine-grained exploration of social media *** achieve the goal of cross-level fine-grained exploration,we propose a new *** the procedure of the workflow,we construct the fine-grained exploration view through the design of bubble-based word *** bubble contains two rings that can display information through different levels,and recommends six keywords computed by different *** view supports users collecting information at different levels and to perform fine-grained selection and exploration across different levels based on keyword *** enable the users to explore the temporal information and the hierarchical structure,we also construct the Temporal View and Hierarchical View,which satisfy users to view the cross-level dynamic trends and the overview hierarchical *** addition,we use the storyline metaphor to enable users to consolidate the fragmented information extracted across levels and topics and ultimately present it as a complete *** studies from real-world data confirm the capability of the TopicBubbler from different perspectives,including event mining across levels and topics,and fine-grained mining of specific topics to capture events hidden beneath the surface.

关键词： Cross level analysis Fine grained exploration Topic analysis Social media

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OTB-morph:One-time Biometrics via Morphing

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Machine Intelligence Research 2023年第6期20卷 855-871页

作者： Mahdi Ghafourian Julian Fierrez Ruben Vera-Rodriguez Aythami Morales Ignacio Serna Biometrics and data Pattern analytics Laboratory(BiDA Lab) Universidad Autonoma de MadridMadrid28049Spain

Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order to provide security and privacy in biometric recognition *** transformation is repeatable enabling subsequent biometric *** paper introduces a new idea to be exploited as a transformation function for cancelable biometrics aimed at protecting templates against iterative optimization *** proposed scheme is based on time-varying keys(random biometrics in our case)and morphing *** experimental implementation of the proposed scheme is given for face *** results confirm that the proposed approach is able to withstand leakage attacks while improving the recognition performance.

关键词： Biometrics face recognition template protection morphing security

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Adsorption of Malachite Green Using Activated Carbon from Mangosteen Peel: Optimization Using Box-Behnken Design

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Journal of Renewable Materials 2024年第5期12卷 981-992页

作者： Nabila Eka Yuningsih Latifa Ariani Suprapto Suprapto Ita Ulfin Harmami Harmami Hendro Juwono Yatim Lailun Ni’mah Department of Chemistry Faculty of Science and Data AnalyticsInstitute Technology of Sepuluh NopemberSurabaya60111Indonesia

In this research,activated carbon from mangosteen peel has been synthesized using sulfuric acid as an *** adsorption performance of the activated carbon was optimized using malachite green dye as ***-chite green dye waste is a toxic and non-biodegradable material that damages the *** of adsorption processes was carried out using Response Surface Methodology(RSM)with a Box-Behnken Design(BBD).The synthesized activated carbon was characterized using FTIR and SEM *** FTIR spectra conﬁrmed the presence of a sulfonate group(-SO_(3)H)in the activated carbon,indicating that the activation pro-cess using sulfuric acid was *** characterization shows that activated carbon has porous *** was carried out for three adsorption parameters,namely contact time(20,60,and 120 min),adsor-bent mass(0.005,0.025,and 0.05 g),and initial concentration of malachite green solution(5,50,and 100 mg·L^(-1)).The concentration of the malachite green solution was determined using a UV-Vis spectrophotometer at the max-imum wavelength of malachite green,618 *** optimum of malachite green adsorption using mangosteen peel activated carbon was obtained at a contact time of 80 min,an adsorbent mass of 0.032 g,and malachite green initial concentration of 25 mg·L^(-1),with a maximum removal percentage and maximum adsorption capacity of 93.66%and 19.345 mg·g^(-1),respectively.

关键词： Response surface methodology dyes activated carbon experimental design

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Abaca Fiber as a Potential Reinforcer for Acoustic Absorption Material at Middle-High Frequencies

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Journal of Renewable Materials 2024年第5期12卷 909-921页

作者： Susilo Indrawati Lila Yuwana Suyatno Mochamad Zainuri Darminto Department of Physics Faculty of Science and Data AnalyticsInstitut Teknologi Sepuluh NopemberSurabaya60111Indonesia

Recently,abacaﬁbers have become the focus of specialized research due to their intriguing characteristics,with their outstanding mechanical properties being a particularly *** the conducted study,the abacaﬁbers underwent a preliminary treatment process involving an alkaline solution,which was composed of 0.5%sodium hydroxide(NaOH)and 50%acetic acid(CH3COOH).This process entailed immersing eachﬁber in the solution for a period of one *** treatment led to a 52.36%reduction in lignin content compared to the levels before treatment,resulting in a dramatic decrease in the full width at half maximum(FWHM)in the XRD spectra from 1.13 to *** change indicates that theﬁbers became more crystalline following the *** abacaﬁbers were also characterized using BET(Brunauer Emmett Teller)measurements,which revealed that the aver-age pore length ranged from 33–49 nm and the surface area was between 13–28 m^(2)·g^(-1).The morphology of the abacaﬁber after alkali an hydrolisis treatment(AFAH)appeared rougher and more *** measurements revealed a signiﬁcant rise in the storage modulus of the singleﬁber post-treatment,with dependencies on both frequency and *** exhibited an optimal absorption coefﬁcient ofα=0.9 for frequencies above 2500 *** combined effect of alkalization and hydrolyzation treatments,while resulting in an enhancement in the mechanical properties of theﬁbers,also reduced high-intensity noise produced by sources such as machin-ery,aircraft takeoffs and landings,etc.,across a broader working frequency range.

关键词： Abacaﬁber alkalization mechanical property acoustic characteristics middle frequency

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Multifaceted Disparities Associated with Translator Earnings: A Quantitative Study of Upwork Profiles

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Journal of Social Computing 2024年第1期5卷 88-100页

作者： Tyler Horan data analytics and Computational Social Science Program University of Massachusetts AmherstAmherstMA 01003USA

This study aims to quantitatively explore the multifaceted determinants that influence earnings in the translation *** a dataset comprising 45000 translator profiles,the study focusses on delineating disparities correlated with demographic variables such as age,gender,home country wealth,and language *** study uses a random forest regression model to delineate the complex interaction between gender,the economic standing of a translator’s domicile country,age,and linguistic proficiency,as they relate to *** findings substantiate and,in many ways,extend existing qualitative and anecdotal evidence that has shaped the discourse in this *** rigorous empirical framework employed here can be replicated or adapted to study other sectors within the gig economy,thus contributing to a more comprehensive understanding of labour dynamics in the digital age.

关键词： translation online employment gig economy intercultural communication

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Local Linear Convergence of an ADMM-Type Splitting Framework for Equality Constrained Optimization

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Journal of the Operations Research Society of China 2021年第2期9卷 307-319页

作者： Jun-Feng Yang Yin Zhang Department of Mathematics Nanjing UniversityNanjing 210023China Institute for data and Decision analytics The Chinese University of Hong KongShenzhen 518172China

We establish local convergence results for a generic algorithmic framework for solving a wide class of equality constrained optimization *** framework is based on applying a splitting scheme to the augmented Lagrangian function that includes as a special case the well-known alternating direction method of multipliers(ADMM).Our local convergence analysis is free of the usual restrictions on ADMM-like methods,such as convexity,block separability or linearity of *** offers a much-needed theoretical justification to the widespread practice of applying ADMM-like methods to nonconvex optimization problems.

关键词： Alternating direction method of multipliers Nonlinear splitting Stationary iterations Spectral radius Local linear convergence

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