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167 results for “statistical methods”
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Review ArticleOpen accessIn the abstractStatistical Binarization Techniques for Document Image AnalysisSaad M. Ismail, Siti Norul Huda Sheikh Abdullah, Fariza FauziBinarization is an important process in image enhancement and analysis. Currently, numerous binarization techniques have been reported in the literature. These binarization methods produce binary images from color or gray-level images. This article highlights an extensive review on various binarization approaches which are also referred to as thresholding methods. These methods are grouped into seven categories according to the employed … …Journal of Computer Science, Vol. 14, Issue 1 · 3 Jan 2018 · 8,160 accessesView PDFCite
Research ArticleOpen accessIn the abstractLarvicidal Activity of Spondias purpurea (Sineguelas) Leaf and Hylocereus costaricensis (Dragon Fruit) Stem Extracts Against Aedes aegyptiAlfredo V. Corpuz, Nigell Mikhail A. Gallardo, Ace Danielle C. AveroThe study determined the larvicidal activity of the different concentrations of Spondias purpurea and Hylocereus costaricensis extracts by measuring percent mortality in Aedes aegypti larvae, a primary vector of dengue and other arboviral diseases. The hypothesis proposed that combining both extracts would yield greater larvicidal activity due to potential synergistic interactions. Ethanolic extraction was used to isolate a wide array … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 20 Nov 2025 · 2,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data SetWalaa Hassan Elashmawi, Alaa Sheta, Ahmad Al-QeremThe rapid growth of technology has brought about many advantages, but has also made networks more susceptible to security threats. Intrusion Detection Systems (IDS) play a vital role in protecting computer networks against malicious activities. Given the dynamic and constantly evolving nature of cyber threats, these systems must continuously adapt to maintain their effectiveness. Machine Learning (ML) methods have gained … …Journal of Computer Science, Vol. 21, Issue 8 · 28 Aug 2025 · 5,818 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Pea Cultivation in Kazakhstan: Breeding Drought-Resistant Varieties for Sustainable AgricultureKudaibergenov Mukhtar Sarsenbekovich, Kanatkyzy Makpal, Saken Gaukhar Sakenkyzy et al.Peas (Pisum sativum L.) are a vital legume for global food security, yet its cultivation in Kazakhstan faces challenges due to arid conditions and limited moisture availability. Breeding high-yielding, stress resistant varieties is critical to enhance agricultural productivity in the region. This study aimed to develop pea varieties with improved yield, drought resistance, and mechanization adaptability under Kazakhstan's agroecological conditions. … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 25 Aug 2025 · 5,249 accessesView PDFCite
Research ArticleOpen accessIn the abstractCloud Privacy Preservation Using Improved Squeezenet Based Data Sanitization and Improved Lyrebird Optimization-Based Optimal Key GenerationSmita Sharma, Sanjay TyagiMaintaining privacy in the cloud is critical, which implies reliable and effective models that are adapted to the difficulties presented by cloud settings. This paper introduces a comprehensive privacy preservation model tailored specifically for cloud environments, comprising five important phases such as data acquisition, normalization, feature extraction, sanitization and restoration. It begins with the meticulous collection of data from diverse … …Journal of Computer Science, Vol. 21, Issue 7 · 20 Aug 2025 · 3,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest-Based Genome Analysis for Disease Association and SNP Marker IdentificationXiangdong LiuAt present, genomic data analysis has the problems of insufficient model interpretation and limited computational efficiency in disease association research. As a powerful machine learning algorithm, Random Forest has demonstrated excellent ability in processing complex and multi-dimensional data sets and has gradually become a popular tool in the field of bioinformatics. The purpose of this paper is to explore how … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Jul 2025 · 5,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 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 abstractComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,534 accessesView PDFCite
Research ArticleOpen accessIn the abstractNatural Repellent Anthraquinone Applied on Cereal Grain Seeds and Seedlings Against Pigeons (Columba livia) in CaptivityKan Khoomsab, Itsara TangsuwanThis research aims to test the effects of cassia leaf extract on the eating behavior of pigeons for application as a natural repellent. Senna siamea (Cassia) leaves were oven-dried and blended into fine pieces and processed by the simplest extraction method (maceration) with ethyl alcohol 70% solution and were then extracted with hot continuous extraction (Soxhlet extraction) with ethyl alcohol … …American Journal of Agricultural and Biological Sciences, Vol. 14, Issue 1 · 16 Dec 2019 · 7,456 accessesView PDFCite