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50 articles for “Statistical Features”
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Research ArticleOpen accessIn the abstractA Novel Approach to Classify Noises in Images Using Artificial Neural NetworkT. Santhanam, S. RadhikaProblem statement: Noise identification is predominant in any digital image processing algorithms, which helps in identifying the filters to smooth the image for further processing. Approach: An Artificial Neural Network (ANN) based approach was proposed for noise identification. The suggested technique involved seclusion of the noise samples and extracts their statistical features, which was then applied to a neural network … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractLand Cover Change Detection Using Texture AnalysisXiaofeng Wu, Fen Yang, Roly LishmanProblem statement: It is an important task to detect land cover changes from remotely sensed data for environmental monitoring. Although there are some applications of visual textures to the land use, they are limited to a few land cover categories with the application of one texture measure. Since land cover types are complex and often the integration of various objects, … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,198 accessesView PDFCite
Research ArticleOpen accessIn the abstractSwarm-Based Feature Selection for Handwriting IdentificationSiti Zaiton Mohd Hashim, Khaled Mohammed Bin AbdlProblem statement: Handwriting identification is the study for identifying or verifying the writer of a given handwritten document. Since the handwriting features are the cornerstone in the writers' classification process, the classifier accuracy is sensitive in terms of how the writers are scored based on the used features. Approach: In this study, we introduced swarm intelligence as a features weighting … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Moment Features Extraction for Recognizing Handwritten Arabic LettersGheith Abandah, Nasser AnssariProblem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a novel feature extraction approach of handwritten Arabic … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractAsymptomatic COVID-19 Patients: Experience and Lessons from a Developing CountrySylvie Kolani, Houda Alami, El Harch ibtissam et al.The world is facing a pandemic due to the SARS-Coronavirus 2, since late 2019. Many questions remain unanswered regarding the disease course. Key amongst its talking point is the case of asymptomatic patients. This potentially jeopardizes infection control strategy as asymptomatic cases are difficult to identify and hence difficult to isolate. Our study intends to define the clinical and radiological … …American Journal of Infectious Diseases, Vol. 17, Issue 2 · 22 May 2021 · 7,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,466 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation of Some Biochemical Parameters between Serum and Saliva of Patients with Breast CancerOmar Atrooz, Huthaifa TarawnehRegular breast cancer laboratory examination of serum is aburden on patients, therefore understanding salivary test methods' featuresand limits is important for diagnosis. The study aims to evaluate thebiochemical parameters in the serum and saliva of breast cancer and controlindividuals. Furthermore, to investigate the correlation between two biofluidlevels in both groups. This cross-sectional study recruited Jordanian femalesincluding 40 breast cancer patients … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 20 May 2025 · 4,487 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurophysiological Mechanisms of Rapidity Quality Development in Female Students Going in for Basketball and Volleyball at Sports ClubsAngelina Shakhanova, Aida Cheuzheva, Ekaterina Kalnaya, Tatiana PetrovaUsing the “NS-Pshykho Test” certified software package (Ivanovo, Russia), we studied the measurements of Simple Hand-Eye Response time (SHER), tapping test frequency, time of Reaction To Moving Object (RMO), Critical Flicker Fusion Frequency (CFFF) in female students going and not going in for sports (volleyball, basketball) at sports clubs. The basis of neuromotor state is formed by variants of classical … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 17 May 2016 · 7,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractSPEECH/MUSIC CLASSIFICATION USING WAVELET BASED FEATURE EXTRACTION TECHNIQUESThiruvengatanadhan Ramalingam, P. DhanalakshmiAudio classification serves as the fundamental step towards the rapid growth in audio data volume. Due to the increasing size of the multimedia sources speech and music classification is one of the most important issues for multimedia information retrieval. In this work a speech/music discrimination system is developed which utilizes the Discrete Wavelet Transform (DWT) as the acoustic feature. Multi … …Journal of Computer Science, Vol. 10, Issue 1 · 8 Nov 2013 · 6,841 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalytical Study on Fundamental Frequency Contours of Thai Tones using Tone-Geometrical ModelSuphattharachai ChomphanProblem statement: In tonal language speech; such as Thai, Mandarin and Vietnam, tone is an important feature of a syllable that must be taken into consideration, since tone is a supra-segmental feature in the speech prosody. Modeling of tone with high accuracy could enhance the quality of synthesized speech in the speech synthesis system. This study focuses on a model … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 7,100 accessesView PDFCite