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67 results for “Experimentation”
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Research ArticleOpen accessIn the abstractNon-Hodgkin Lymphoma Risk Grading Through the Pathological Data by Using the Optimized Convolutional Lymphnet ModelSivaranjini Nagarajan, Gomathi MuthuswamyDiagnosing Non-Hodgkin Lymphoma (NHL) is difficult and often requires specialised training and expertise as well as extensive morphological investigation and, in certain cases, costly immunohistological and genetic techniques. Computational approaches enabling morphological-based decision making are necessary for bridging the existing gaps. Histopathological images can be accurately classified using deep learning approaches, however data on NHL subtyping is limited. However, there … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 4,545 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnveiling the Future: A Survey of Electric Propulsion Systems and their Pivotal Role in Shaping the Next Frontier of Space ExplorationJinadu Abdulbaqi, Okikijesu Omolona Olajide, Ayodeji Tunde AkangbeElectric propulsion represents the future of space travel, which is a promising technology for Earth-orbital and deep space missions, including potential applications in human Mars missions. The past decade has witnessed substantial progress in the conceptualization and experimentation of electric thrusters and their propellants, signaling a transformative era in space exploration. This review provides an overview of the comparison between … …Journal of Aircraft and Spacecraft Technology, Vol. 7, Issue 1 · 10 Jan 2024 · 6,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream ClassificationPriya S., Annie UthraConcept drift and class imbalanced data are major challenging processes involved in modern streaming data classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping class distribution, concept drift, and data imbalance can considerably affect the classifier results. In addition, various challenges affect the performance of the existing oversampling schemes such as SMOTE and its derivatives. Regardless … …Journal of Computer Science, Vol. 18, Issue 7 · 26 Jul 2022 · 5,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Bromocriptine and Nano-Bromocriptine on Egg Quality Parameters of Late Laying HensAhmed Dawod, Noha Osman, Hanim S. Heikal, Hamada MahboubThe study was conducted to determine the effect of bromocriptine and nano-bromocriptine on external and internal egg qualities of late laying hens. A total of 150 Novo-gene brown strain hens of 70 weeks of age were selected from a commercial laying farm. The birds were divided randomly into three groups, with 50 birds in each. The first group was given … …American Journal of Pharmacology and Toxicology, Vol. 16, Issue 1 · 30 Sep 2021 · 6,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparing Approaches for Quality Evaluation of Software Engineering Experiments: An Empirical Study on Software Product Line ExperimentsViviane R. Furtado, Henrique Vignando, Victor França, Edson OliveiraJrThe Software Engineering (SE) research area must provide results of a certain quality for the sake of value. High quality research results may ensure experience and knowledge, which are essential for the technology to be transferred to the industry. One of the means to obtain such quality results is experimentation. Experimentation is a scientific method that aims to provide evidence … …Journal of Computer Science, Vol. 15, Issue 10 · 25 Apr 2019 · 7,747 accessesView PDFCite
Review ArticleOpen accessIn the abstractBM3D Outperforms Major Benchmarks in Denoising: An Argument in FavorBhawna Goyal, Ayush Dogra, Apoorav Maulik SharmaThe inherent physical limitations of imaging sensors lead to prevalence of additive white Gaussian noise in images which deters the feature extraction and analysis. There exists a number of denoising algorithms in literature, demonstrating their efficacy for removing noise while preserving feature details. At the crossing of functional and statistical analysis, one argues with new methods being devised quite frequently, … …Journal of Computer Science, Vol. 16, Issue 6 · 1 Jul 2020 · 7,577 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Thresholding Algorithm-Based Optical Character Recognition System for Information Extraction in Complex ImagesDaniel Akinbade, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike OguntundeExtracting texts from images with complex backgrounds is a major challenge today. Many existing Optical Character Recognition (OCR) systems could not handle this problem. As reported in the literature, some existing methods that can handle the problem still encounter major difficulties with extracting texts from images with sharp varying contours, touching word and skewed words from scanned documents and images … …Journal of Computer Science, Vol. 16, Issue 6 · 14 Jun 2020 · 8,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis of French Tweets based on Subjective Lexicon Approach: Evaluation of the use of OpenNLP and CoreNLP ToolsAbdelkader Rhouati, Jamal Berrich, Mohammed G. Belkasmi, Toumi BouchentoufNowadays, sentiment analysis is becoming a very important issue of research. This paper present experimentation on sentiment analysis based on subjective lexicon method. This experimentation is tested over French tweets using "Public Opinion Knowledge (POK)" platform. POK is a platform consists in getting public opinion orientation from text extracted from social network and blogs, which we have developed and presented … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,338 accessesView PDFCite