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169 results for “Information characteristics”
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Research ArticleOpen accessIn the abstractA Context Aware Deep Learning Framework for Multi-Level Arabic Fake News Detection Using Hybrid Linguistic RepresentationsNoor Mahmoud Alkudah, Somia Abufakher, Raja Masadeh et al.The rapid spread of false information on social media has made it even more important to be able to spot false news, especially in Arabic-speaking areas where language is more complicated and news is organized in a hierarchy. Recent research show that deep learning and transformer-based models work well, but most of them only look at performance metrics and don't … …Journal of Computer Science, Vol. 22, Issue 3 · 27 Mar 2026 · 1,577 accessesView PDFCite
Research ArticleOpen accessIn the abstractUltrastructural Morphology of the Muscle System Organization in the Trematode Typhlocoelium cucumerinumIrina Yurievna Chidunchi, Ainagul Balgauovna Kaliyeva, Natalya Petrovna Korogod et al.Trematodes, also known as flatworms, are a diverse group of parasitic organisms that live in a variety of ecosystems, from freshwater to marine habitats. Their complex life cycle often involves intermediate and definitive hosts and multiple developmental stages. Trematodes have unique morphological features that allow them to adapt, move and parasitize within host tissues and organs. The parasitic lifestyle of … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 1 Jun 2024 · 5,116 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification Program and Story Boundaries Segmentation in TV News Broadcast Videos via Deep Convolutional Neural NetworkMounira Hmayda, Ridha Ejbali, Mourad ZaiedGiven the amount of video information on the net, the user has had difficulty finding the information in a reasonable amount of time. Thus, all video content must be segmented and annotated so that he/she can access the information directly. The goal of the proposed approach is to allow a better exploitation of video by multimedia services (TV-On- Demand, catch-up … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 7,746 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Properties of Biopolymers from Corn Starch with Addition of Microalgae Spirulina platensisJúllia Koury Abreu, Loraynne Coelho Pereira, José Izaquiel Santos da SilvaThe discovery of the environmental impacts caused by petroleum-based polymers has led to the use of natural polymers gaining more and more space. Naturally occurring polymers, also known as biopolymers, are chemical compounds produced by living things or raw materials from renewable energy sources. Their main advantage is decomposition, while polymers from fossil and non-renewable energies can take hundreds of … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 1 · 16 Mar 2023 · 6,032 accessesView PDFCite
Research ArticleOpen accessIn the abstractInterpretation of Double Langmuir Probe I-V Characteristics at Different Ionospheric Plasma TemperaturesShankar BhattaraiWhere the plasma potential is fluctuating significantly, Single Langmuir probe method is not relevant to determine the plasma characteristics. This weakness was overcome by the development of the floating double probe. A distortion of the probe characteristics due to varying potential is eliminated, while the whole probe system is floating. This supports probe operation also in discharges with strongly varying … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 6 Nov 2017 · 8,605 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification Model of Traditional Chinese Medicine Prescription Decocting Duration Combining Text Convolutional Neural Network with Attention MechanismZhibiao Li et al.The decocting time of Traditional Chinese Medicine (TCM) formulas is crucial for therapeutic effects. To better capture the important characteristics related to the decocting time of TCM formulas, a formula decocting time classification model TextCNN-attention that integrates the attention mechanism and Text Convolutional Neural Network is proposed. This model predicts the decocting time of formulas and divides them into long-term, … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 26 Sep 2024 · 4,372 accessesView PDFCite
Review ArticleOpen accessIn the abstractBio-Functional Prospects of Moringa oleifera Lam on Meat Quality-A ReviewNobuhle Sharon Lungu, Emrobowansan Monday IdamokoroResearch done by scholars on the utilization of the different parts of Moringa oleifera Lam. in improving livestock performance and boosting meat quality has increased over the years in many nations across the globe. Moringa oleifera has been identified as an essential bio-resourceful plant containing vital nutrients and bio-active compounds with proven functional properties, including antimicrobial and antioxidant activities. These … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 2 · 2 May 2024 · 5,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Genetic Potential of Spring Durum Wheat Grain Quality in the North of KazakhstanS. M. Dashkevich, M. U. Utebayev, O. O. Kradetskaya et al.The paper presents information about the cultivation of spring durum wheat in the conditions of Northern Kazakhstan. Methods for assessing the quality of grain and semolina in the breeding process are shown: SDS sedimentation, protein content according to Kjeldahl, content, and index of gluten using the Glutomatic 2200 system, vitreousness, hardness SKCS 4100, content of carotenoid pigments, measurements of the … …OnLine Journal of Biological Sciences, Vol. 22, Issue 3 · 2 Sep 2022 · 6,093 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Monitoring and Injury Risk Warning Algorithm Based on Data Fusion of Motor Muscle ContractionGuomin Wang, Jingying HuangThe existing sports injury warning algorithms are difficult to achieve dynamic injury risk modeling based on individual muscle characteristics while ensuring real-time fusion efficiency of multimodal signals. This article proposes a real-time muscle contraction state perception and injury risk warning algorithm based on adaptive weighted feature fusion and lightweight temporal modeling. The system synchronously collected surface electromyography (sEMG), Inertial Measurement … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 10 Aug 2026 · 1,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractCPF-Net: Cross-modal CT and Pathology Guided Feature Learning for CT-based Lung Cancer Subtype ClassificationPeizhi Tan, Debiao YanAccurate classification of lung cancer subtypes from CT images remains challenging due to the subtle radiological differences between adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). We propose CPF-Net, a deep learning framework that integrates CT and pathological information through a Linear Spatial Reduction Attention (LSRA) module. The framework processes whole slide images using a modified CTransPath architecture for pathological feature … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 23 Jan 2026 · 1,864 accessesView PDFCite