Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

“…During last decades several techniques are developed for improving the quality, coding time and compression ratio using different coding strategies. In this work, an effective compression method for hybrid images is proposed based on the discrete wavelet transformation and hybrid encoding algorithm (Huffman and SPIHT). …”
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Quality by Design-Based Methodology for Development of Titanate Nanotubes Specified for Pharmaceutical Applications Based on Risk Assessment and Artificial Neural Network Modeling by Ranim Saker, Géza Regdon, Krisztina Ludasi, Tamás Sovány

“…Background: Nanotechnology has been the main area of focus for research in different disciplines, such as medicine, engineering, and applied sciences. …”
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Research on Data Repair of Pile-Type Adjustable Wind Turbine Foundation Monitoring Based on FST-ATTNet by WEI Huanwei, ZHAO Jizhang, ZHENG Xiao, TAN Fang, LIU Cong

“…In the frequency domain, the model employs discrete cosine transform (DCT) to extract periodic and global patterns from time series data, effectively mitigating the high-frequency noise caused by the Gibbs phenomenon in traditional discrete Fourier transform (DFT). …”
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Fractional Critical Damping Theory and Its Application in Active Suspension Control by Peng Wang, Qingyun Wang, Xiaomei Xu, Ning Chen

“…Based on the principle of modal coordinate transformation, a new design method of fractional skyhook damping control for full-car suspension is given. …”
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Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“… Computed Tomography (CT) reconstruction is an important inverse problem in industrial imaging, requiring robust methods to address different sources of error in the data and model. …”
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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

“…Existing intelligent fault diagnosis methods have been widely developed and proven to be effective in monitoring the operating status of key mechanical components. …”
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Factors affecting preventive behaviours of the complications of musculoskeletal disorders in industry workers: a qualitative study from Iran by Fazlollah Ahmadi, Sedigheh Sadat Tavafian, Zohre Moradi, Omran Ahmadi

“…In this study, the participants were selected from different industry centres using the purposeful sampling method and based on the maximum diversity (work duties, age, level of education). …”
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Determination of the area index of lettuce leaves with a monocular camera by Laimonas Kairiūkštis, Başak Yalçıner, Emre Özkul

“… This study aims to develop a pixel value analysis method using a monocular camera to determine different growth stages of lettuce plants. …”
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Steady-State Dynamical Response of a Strongly Nonlinear System with Impact and Coulomb Friction Subjected to Gaussian White Noise Excitation by Guidong Yang, Dongmei Huang, Wei Li, Meng Su

“…Then, the steady-state probability density functions of the transformed system are derived in terms of the stochastic averaging method of energy envelope. …”
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DIGITALIZATION AS A MODERN CONDITION OF SOCIAL INTERACTION IN CULTURE by Lyudmila S. Gasparyan

“…Digitalization contributes to the emergence of new ways of interaction that can significantly transform public perceptions of the surrounding space and its constituent elements. …”
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Statistical modeling based fast rate estimation algorithm for VVC by Wei QI, Haibing YIN, Hongkui WANG, Xiaofeng HUANG, Weihong NIU

“…To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration.…”
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Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm by Nan Chen, Dongri Shan, Peng Zhang

“…In the cost-computation stage, the sum of absolute differences (SAD), census, and modified census cost aggregation are employed as cost-calculation methods. …”
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基于啮合角函数的平面圆齿轮共轭齿廓求解及几何特性研究 by 林菁, 王启义

“…Various types of tooth profiles can be generated systematically b y given different PAFs without rotational coordinates transformation, and the ge ometric properties of generated looth profiles can be also investigated mathemat ically and directly by a given PAF instead of the tooth profiles. …”
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The Power of Phenomenology by Mel Duffy, Tanya Ní Mhuirthile

“…From interviews with intersex people, we confirm that employing a hermeneutic phenomenological approach did not just answer our research questions, but also became a powerful and empowering means through which some participants were effectively able to navigate, share and ‘own’ their personal story. Indeed, the method’s person-centred and ethical underpinnings permitted some to engage in the research in ways that became empowering and transformational.…”
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Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. by Lukas Grossberger, Francesco P Battaglia, Martin Vinck

“…We introduce an unsupervised method, SPOTDisClust (Spike Pattern Optimal Transport Dissimilarity Clustering), for their detection from high-dimensional neural ensembles. …”
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A Comparative Analysis of the Fractional-Order Coupled Korteweg–De Vries Equations with the Mittag–Leffler Law by Noufe H. Aljahdaly, Ali Akgül, Rasool Shah, Ibrahim Mahariq, Jeevan Kafle

“…This article applies efficient methods, namely, modified decomposition method and new iterative transformation method, to analyze a nonlinear system of Korteweg–de Vries equations with the Atangana–Baleanu fractional derivative. …”
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Analysis of the Spatial Distribution Pattern of the Urban Landscape in the Central Plains under the Influence of Multiscale and Multilevel Morphological Geomorphology by Hongxiang Li, Ting Zhao, Nan Ge

“…After any morphological process is completed, it can only be transformed into the other two ways, so the static morphological description can be transformed into dynamic morphological process analysis.…”
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Speech Emotion Recognition Based on Voice Fundamental Frequency by Teodora DIMITROVA-GREKOW, Aneta KLIS, Magdalena IGRAS-CYBULSKA

“…After extraction of several statistical features of the fundamental frequency, we studied if they carry information on the emotional state of the speaker applying different AI methods. Analysis of the outcome data was conducted with classifiers: K-Nearest Neighbours with local induction, Random Forest, Bagging, JRip, and Random Subspace Method from algorithms collection for data mining WEKA. …”
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Pola Struktur Tematik Konten Bantuan Layanan Google Bahasa Inggris dan Versi Terjemahannya by Hafni Ayu Hapsari

“…The structural patterns used also vary between languages as different thoughts of speakers of the language are also different. …”
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Evaluation of the privacy concept in traditional houses through the interaction of street and facade using isovist areas: The case of Tokat houses by Murat Şahin

“… Traditional houses, shaped and transformed according to the needs of individuals and societies, are influenced by the physical and socio-cultural characteristics of their respective regions. …”
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