Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (19)
  • Open Access


    Text-to-Sketch Synthesis via Adversarial Network

    Jason Elroy Martis1, Sannidhan Manjaya Shetty2,*, Manas Ranjan Pradhan3, Usha Desai4, Biswaranjan Acharya5,*

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 915-938, 2023, DOI:10.32604/cmc.2023.038847

    Abstract In the past, sketches were a standard technique used for recognizing offenders and have remained a valuable tool for law enforcement and social security purposes. However, relying on eyewitness observations can lead to discrepancies in the depictions of the sketch, depending on the experience and skills of the sketch artist. With the emergence of modern technologies such as Generative Adversarial Networks (GANs), generating images using verbal and textual cues is now possible, resulting in more accurate sketch depictions. In this study, we propose an adversarial network that generates human facial sketches using such cues provided by an observer. Additionally, we… More >

  • Open Access


    Speech Separation Algorithm Using Gated Recurrent Network Based on Microphone Array

    Xiaoyan Zhao1,*, Lin Zhou2, Yue Xie1, Ying Tong1, Jingang Shi3

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3087-3100, 2023, DOI:10.32604/iasc.2023.030180

    Abstract Speech separation is an active research topic that plays an important role in numerous applications, such as speaker recognition, hearing prosthesis, and autonomous robots. Many algorithms have been put forward to improve separation performance. However, speech separation in reverberant noisy environment is still a challenging task. To address this, a novel speech separation algorithm using gate recurrent unit (GRU) network based on microphone array has been proposed in this paper. The main aim of the proposed algorithm is to improve the separation performance and reduce the computational cost. The proposed algorithm extracts the sub-band steered response power-phase transform (SRP-PHAT) weighted… More >

  • Open Access


    Chemical Modifi cation of Microbial Poly(γ-glutamic acid): Progress and Perspectives

    Sebastián Muñoz-Guerra*, Montserrat García-Alvarez, José A. Portilla-Arias

    Journal of Renewable Materials, Vol.1, No.1, pp. 42-60, 2013, DOI:10.7569/JRM.2012.634105

    Abstract Poly(γ-glutamic acid) (PGGA) is an edible polypeptide excreted by certain bacteria that is presently accessible on a semi-industrial scale. Chemically, it is a nylon 4 derivative bearing a carboxylic side group attached to the fourth carbon of the repeating unit. Although this biopolymer is being exploited in the food, agriculture and cosmetic sectors, its use in massive applications as packaging or coating is still unknown mainly due to its instability in wet environments and unsuitability to be processed by common techniques. Chemical modifi cation of PGGA involving esterifi cation or amidation of the carboxylic group is the approach explored the… More >

  • Open Access


    Gamma Correction for Brightness Preservation in Natural Images

    Navleen S Rekhi1,2,*, Jagroop S Sidhu2, Amit Arora2

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2791-2807, 2023, DOI:10.32604/csse.2023.026976

    Abstract Due to improper acquisition settings and other noise artifacts, the image degraded to yield poor mean preservation in brightness. The simplest way to improve the preservation is the implementation of histogram equalization. Because of over-enhancement, it failed to preserve the mean brightness and produce the poor quality of the image. This paper proposes a multi-scale decomposition for brightness preservation using gamma correction. After transformation to hue, saturation and intensity (HSI) channel, the 2D- discrete wavelet transform decomposed the intensity component into low and high-pass coefficients. At the next phase, gamma correction is used by auto-tuning the scale value. The scale… More >

  • Open Access


    Delayed Bilateral, Post-Traumatic Extra-Subdural Hematomas in a Patient with Meningioma

    Giuseppe Emmanuele Umana1,*, Gianluca Ferini2, Antonio Crea1, Bipin Chaurasia3, Vishal Chavda4, Leonardo Corbino1, Daniele Franceschini1, Maria Grazia Tranchina5, Marco Fricia1, Francesca Graziano6, Giovanni Federico Nicoletti6, Salvatore Cicero1, Gianluca Scalia6

    Oncologie, Vol.24, No.2, pp. 341-348, 2022, DOI:10.32604/oncologie.2022.021347

    Abstract Concomitant acute epidural hematoma (EDH) and subdural hematoma (SDH) is a rare finding, and its bilateral onset has not yet been reported in literature. We present the first report of a patient affected by post-traumatic concomitant EDH and SDH, with the contralateral, delayed onset of another, associated with meningioma previously treated with gamma knife. A 60-year-old female patient with a history of simple focal seizures with motor symptoms and well-controlled by drugs since childhood, arterial hypertension, and incidental diagnosis of multiple meningiomas was referred to our department after falling down the stairs. Initially, the patient was prescribed gamma knife treatment… More >

  • Open Access


    Designing Bayesian Two-Sided Group Chain Sampling Plan for Gamma Prior Distribution

    Waqar Hafeez1, Nazrina Aziz1,2,*

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1069-1079, 2023, DOI:10.32604/csse.2023.022047

    Abstract Acceptance sampling is used to decide either the whole lot will be accepted or rejected, based on inspection of randomly sampled items from the same lot. As an alternative to traditional sampling plans, it is possible to use Bayesian approaches using previous knowledge on process variation. This study presents a Bayesian two-sided group chain sampling plan (BTSGChSP) by using various combinations of design parameters. In BTSGChSP, inspection is based on preceding as well as succeeding lots. Poisson function is used to derive the probability of lot acceptance based on defective and non-defective products. Gamma distribution is considered as a suitable… More >

  • Open Access


    Effective Frameworks Based on Infinite Mixture Model for Real-World Applications

    Norah Saleh Alghamdi1, Sami Bourouis2,*, Nizar Bouguila3

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1139-1156, 2022, DOI:10.32604/cmc.2022.022959

    Abstract Interest in automated data classification and identification systems has increased over the past years in conjunction with the high demand for artificial intelligence and security applications. In particular, recognizing human activities with accurate results have become a topic of high interest. Although the current tools have reached remarkable successes, it is still a challenging problem due to various uncontrolled environments and conditions. In this paper two statistical frameworks based on nonparametric hierarchical Bayesian models and Gamma distribution are proposed to solve some real-world applications. In particular, two nonparametric hierarchical Bayesian models based on Dirichlet process and Pitman-Yor process are developed.… More >

  • Open Access


    Complete Monotonicity of Functions Related to Trigamma and Tetragamma Functions

    Mona Anis1, Hanan Almuashi2, Mansour Mahmoud3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 263-275, 2022, DOI:10.32604/cmes.2022.016927

    Abstract In this paper, we study the completely monotonic property of two functions involving the function △(x) = and deduce the double inequality , x > 0
    which improve some recent results, where ψ(x) is the logarithmic derivative of the Gamma function. Also, we deduce the completely monotonic degree of a function involving ψ'(x). More >

  • Open Access


    Dynamic Fatigue Reliability Analysis of Transmission Gear Considering Failure Dependence

    Yonghua Li1,*, Xiaoning Bai2, Shanshan Shi1, Shenxuan Wang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1077-1092, 2022, DOI:10.32604/cmes.2022.018181

    Abstract Multiple failure modes and strength degradation are usually inherent in the gear transmission system, which brings new challenges for conducting fatigue reliability analysis and design. This paper proposes a novel dynamic fatigue reliability analysis method for failure dependence and strength degradation based on the combination of the Copula function and Gamma process. Firstly, the dynamic simulation model of the gear transmission system is established to obtain the dynamic stress-time history. The Gamma process is then used to describe the strength degradation to establish the dynamic stress-strength interference model. The marginal distribution functions of tooth contact fatigue and dedendum bending fatigue… More >

  • Open Access


    Bayesian Group Chain Sampling Plan for Poisson Distribution with Gamma Prior

    Waqar Hafeez1, Nazrina Aziz1,2,*, Zakiyah Zain1,2, Nur Azulia Kamarudin1

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3891-3902, 2022, DOI:10.32604/cmc.2022.019695

    Abstract Acceptance sampling is a statistical quality control technique that consists of procedures for sentencing one or more incoming lots of finished products. Acceptance or rejection is based on the inspection of sampled products drawn randomly from the lot. The theory of previous acceptance sampling was built upon the assumption that the process from which the lots are produced is stable and the process fraction nonconforming is a constant. Process variability is inevitable due to random fluctuations, which may inadvertently lead to quality variation. As an alternative to traditional sampling plans, Bayesian approach can be used by considering prior information of… More >

Displaying 1-10 on page 1 of 19. Per Page