175 articles for “Experimental Evaluation”

Review ArticleOpen accessIn the abstractDietary Flavonols With Antiviral Efficacy: Safety and Regulatory ConcernsTanisha Parvez, Tanveer Yaqub, Shama Parveen, Mohammad Khalid ParvezGlobally, a variety of pharmacologically-active plant or natural products are commonly consumed as health-protective dietary supplements. These are marketed as crude formulations, isolated metabolites, multi-vitamins, essential amino acids, unsaturated fatty acids and minerals. Of these, pharmacologically-active flavonols like rutin, quercetin, kaempferol, myricetin, isorhamnetin are the most consumed dietary supplements. In addition to their broad-spectrum therapeutic benefits, these are also known … …American Journal of Pharmacology and Toxicology, Vol. 20, Issue 1 · 19 Apr 2026 · 1,866 accessesView PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractGlass Strength for Impact and Blast LoadingMatthias Förch, Frank WellershoffGlass strength is highly influenced by strain rate. This material behaviour is well known in structural glass design and implemented in various standards. The strength of architectural glass is determined by component tests with a defined strain rate of 2 N/(mm2s), providing favourable terms for testing. As typical effects of actions on facades result in lower or higher strain rates, … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 7 May 2021 · 8,115 accessesView PDF Cite

Research ArticleOpen accessIn the abstractUsing Background Knowledge and Random Sampling in Genetic Programming: A Case Study in Learning Boolean Parity FunctionsLappoon R. TangThe Boolean even-N-parity function returns T (i.e., true) if an even number of its Boolean arguments for N arguments are T and otherwise returns NIL (i.e., false). Learning Boolean even-N-parity functions has been recognized as a difficult problem for evolutionary computation (such as genetic programming) especially when N is large (e.g., 20+). A number of approaches have been proposed for … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 5,481 accessesView PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractA Great Deluge Algorithm with Bi-Decay Rate for Efficient Task Scheduling in Grid ComputingKaiLun Eng, Abdullah Muhammed, Sazlinah Hasan, Mohamad Afendee MohamedTo realise the utmost idea of global collaborative resource sharing with Grid computing, the fundamental scheduling process is playing a critical role. However, scheduling in Grid computing environment is a well-known NP-complete problem. In this study, we propose a new extension of Great Deluge algorithm with an effective diversification strategy for the Grid scheduling problem. The proposed approach, namely BiGD, … …Journal of Computer Science, Vol. 15, Issue 3 · 7 Mar 2019 · 7,720 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPhytochemical Profiles and Anti-Diabetic Potential of the Extract of Pueraria lobata Compound Teabags: Preparation and Optimization Infusion ConditionsQing Liu, Wenyue Shi, Futing Xue et al.A Pueraria lobata root compound teabag using Pueraria lobate root, Stigma maydis, and Prunus mume as the main material was prepared in this study, and the brewing technology was optimized using Response Surface Methodology (RSM). The sensory evaluation, total polysaccharide, and phenolic compound content were used as evaluation indicators and the effect of the compound ratio of raw material was … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 26 Nov 2022 · 5,641 accessesView PDF Cite

Research ArticleOpen accessIn the abstractTAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation RoutingSularno, Wendi Boy, Putri Anggraini et al.Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints caused by tsunami inundation while maintaining end-to-end differentiability for deep learning models. Existing approaches commonly rely on continuous relaxations or stochastic sampling techniques, which either compromise physical feasibility or increase computational complexity. This study proposes the … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 704 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIntroduction of the Pasture Plant Fescue (Festuca valesiaca) for the Improvement of Degraded Pastures in the Steppe Zone of KazakhstanMeldebekova Nurgul Alikhanovna, Seitbattalova Ainur Islamovna, Ainebekova Bakyt Alpysbaevna et al.This study presents the results of a comprehensive evaluation of Festuca valesiaca, a dominant perennial grass species widely used in steppe ecosystems for pasture improvement. Previous research has demonstrated the importance of native fescue species in enhancing productivity and resilience of degraded rangelands under arid conditions. However, breeding efforts for this species in Kazakhstan remain insufficiently developed. The research was … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 14 Sep 2026 · 662 accessesView PDF Cite