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96 articles for “Data-Level Methods”
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Research ArticleOpen accessIn the abstractEffectiveness of the Anaerobic Haylage Method for Flax Waste Utilization in the Diet of Friesian Holstein CowsRuly Budiono, Joko Kusmoro, Erin Nurinsani Waafi, SukonoThe haylage dry feed fermentation method is one of the methods of preserving grass feed, dried herbs, or dry agricultural waste for animal feed. This study aims to determine the quality of hemp flakes waste that has been dried for 6 months and has a water content of <3% using the Haylage method. The research parameters include physical quality, pH, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 31 Mar 2026 · 1,271 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Digital Signal Modulation Recognition using Machine LearningMudhafar Haji Mala Abd, Sadegh AminifarInrecent years, modulation type recognition has received a lot of attentionacross the board. There are several methods to detect modulation types, butthere are only a few effective methods to handle signals with a higher level ofnoise. This study introduces an approach to verify the ability of differentmachine learning algorithms to automatically manage noise in detecting digitalmodulations. This research examines two … …Journal of Computer Science, Vol. 18, Issue 10 · 26 Sep 2022 · 6,095 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Packet Redundancy Elimination Technique in Sensor NetworksDeepa Priya, Sharmini EnochA lot of sensor nodes which are able to sense, process and communicate with external base station with the data obtained from external environment belong to a class of adhoc networks called wireless sensor networks. The main challenge in sensor network is to increase the life time of the network thereby reducing duplicate by detecting the redundant information. While the … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Feb 2018 · 7,878 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study of Data Mining approaches for Bag of Visual Words Based Image ClassificationSahar Abd El Hameed Mokhtar, Heba Ahmed ElnemrImage classification is one of the most significant and challenging tasks in computer vision. The goal of this task is to build a system that is capable to reveal an image label within a collection of different image categories. This paper presents and discusses the application of various data mining techniques for image classification based on Bag of Visual Words … …Journal of Computer Science, Vol. 14, Issue 1 · 12 Jan 2018 · 7,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractFunctional Role of Vitelline Glands and Mehlis Gland in the Process of Resistant Egg Shell Formation in TrematodesRimma UaliyevaThe study of the functional morphology of the reproductive system of trematodes, as well as its individual parts, provides an opportunity to solve an important problem that plays a huge role in theoretical and practical terms as the directed regulation of the fecundity of endoparasites. The article is devoted to the study of the functional role of vitelline glands and … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 28 Feb 2023 · 6,367 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Multidimensional Framework for Understanding Internet Information Behavior: Influencing Factors and Progression in the Digital AgeJinyan Liao, Sameer Kumar, Fumitaka FuruokaThis study explores the multidimensional characteristics and influencing factors of Internet information behavior and constructs a theoretical framework to explain user behaviors in information acquisition, dissemination, and sharing. The paper defined the core concepts of Internet information behavior and examined its evolution in the digital era. It categorized information acquisition behaviors based on processing methods, emphasizing the roles of search … …Journal of Social Sciences, Vol. 21, Issue 1 · 9 Jun 2025 · 6,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecuring IoT Networks: Multi-Attack Detection of RPL Routing Threats Using Deep LearningAyoub Krari, Abdelmajid Hajami, Ayoub Toubi, Marouane Ait SaidThe growing frequency of cyber threats in Internet of Things (IoT) networks, including attacks on RPL routing, requires the creation of strong detection systems to safeguard network integrity and provide dependable communication. This study is driven by the pressing necessity to tackle the security weaknesses in IoT networks, where threats such as black holes, version number alteration, DIS flooding, and … …Journal of Computer Science, Vol. 21, Issue 4 · 6 Mar 2025 · 5,397 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,079 accessesView PDFCite
Research ArticleOpen accessIn the abstractCovid-19 Global Spread Analyzer: An ML-Based AttemptRana Husni Al Mahmoud, Eman Omar, Khaled Taha et al.The novel Coronavirus 2019 (COVID-19) has caused a pandemic disease over 200 countries, influencing billions of humans. In this consequence, it is very much essential to the identify factors that correlate with the spread of this virus. The detection of coronavirus spread factors open up new challenges to the research community. Artificial Intelligence (AI) driven methods can be useful to … …Journal of Computer Science, Vol. 16, Issue 9 · 2 Oct 2020 · 6,925 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite