149 results for “Human Activities”

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Research ArticleOpen accessPhrase in the titleThe Effect of Human Activities on River Bank Stability (Case Study)Mojtaba Yamani, Abolghasem Goorabi, Javad DowlatiProblem statement: Investigation of interaction of human activities and rivers has become a important problem because they have essential role on rivers morphology. So, in this study Atrak River in North-East of Iran has been considered. Approach: The aim of this research was to determine human impact on the Atrak River morphology in the past and estimation of future outcomes. … …American Journal of Environmental Sciences, Vol. 7, Issue 3 · 11 Jul 2011 · 9,617 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleDistributed and Parallel Decision Forest for Human Activities Prediction: Experimental Analysis on HAR-Smartphones DatasetBudi Padmaja, Venkata Rama Prasad Vaddella, Kota Venkata Naga SunithaSensor-based human motion detection requires the subtle amount of knowledge about various human activities from fitted sensor observations and readings. The prevalent pattern recognition methodologies have made immense progress over recent years. Nonetheless, these kind of methods usually rely on the particular heuristic variable extraction, which could inhibit generalization realization. This paper presents a distributed and parallel decision forest approach … …Journal of Computer Science, Vol. 15, Issue 5 · 11 May 2019 · 7,392 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleAnti-Metalloproteinase-9 Activities of Selected Indonesian Zingiberaceae Rhizome Extracts in Lipopolysaccharide-Induced Human Vascular Endothelial Cells In VitroYantiProblem statement: Atherosclerosis is associated with chronic inflammation triggered by bacterial infection that activates the breakdown of extracellular matrix protein by matrix Metalloproteinases (MMPs). Zingiberaceae, a group of tropical food crops grown in Indonesia and other Southeast Asia regions, has been traditionally used for food coloring, seasoning, culinary and medicinal purposes. However, its efficacy as natural vascular protection has not … …American Journal of Biochemistry and Biotechnology, Vol. 7, Issue 1 · 27 May 2011 · 7,869 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsHazard and Risk in IranMaryam Marani Barzani, Khairulmaini Bin Osman SallehHazard risk needs to consider vulnerability on human activities. Risk analysis of risk, human activities at spatial and temporal scales with existing classification of hazards and map hazard map. In this study hazard risk in urban areas could be useful through considering are used to model human activities such as population, land use and strategic situation in Zayandeh Rood Basin … …American Journal of Environmental Sciences, Vol. 13, Issue 2 · 12 Apr 2017 · 7,094 accessesView PDF Cite

Review ArticleOpen accessIn the abstractHuman Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offsJose Antonio Rojas Guillén, Wini Ebelin Quispe Bautista, Arturo Gamarra MorenoHuman Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration of HAR models from cloud-centered architectures to edge, embedded, mobile, and wearable platforms introduces constraints related to computational capacity, memory footprint, battery consumption, inference time, and real-time responsiveness. This study presents a systematic literature review … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 593 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEdge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNNSuresh Kumar, M Y. Mohamed ParveesHuman Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote servers or in the cloud have challenges in terms of high latency, increased bandwidth demand, and high energy consumption. Moving the computation to edge-assisted HAR is more effective and flexible solution to address the … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,578 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImmunomodulatory and Antioxidant Effects of Stachys Japonica Miq. Ethanol Extract on Cyclophosphamide-Induced Immunosuppressed Mice and its Phytochemical CompositionXueping Jiang, Jianglong He, Yanjun Chen, Fang WangStachys japonica Miq. is an edible wild botanical drug and a traditional medicine in China. This study focused on examining the phytochemical profile and antioxidant properties of the ethanol extract of S. japonica Miq (SJEE) in vitro, as well as its immunomodulatory and antioxidant activities in cyclophosphamide (Cy)-induced immunosuppressed mice. The SJEE was analysed by UPLC-HRMS/MS. 36 Polyphenols, including flavonoids, … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 13 Apr 2026 · 1,449 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimizing N-linked Glycosylation Site Prediction in Human Proteins with Ensemble Stacking and Cross-ValidationMubina Malik, Jaimin UndaviaThe most frequent post-translational modification of proteins in all territories is glycosylation which impacts many biological activities. The most significant and critical of these modifications is N-linked glycosylation which is associated with various human diseases including diabetes cancer Inflammation Alzheimers and atherosclerosis. This article illustrates recent advances in knowledge of biology that are eventually targeting the computer science sector. Moreover-identification … …Journal of Computer Science, Vol. 20, Issue 12 · 20 Nov 2024 · 4,999 accessesView PDF Cite

Research ArticleOpen accessIn the abstractProtective Role of Ganoderma lucidum Polysaccharides Against Stress Induced by Heavy Metals in Caenorhabditis elegansHuixiu Ma, Dehui Dai, Guicai Chen, Weilian HuAli, H., Khan, E., & Ilahi, I. (2019). Environmental Chemistry and Ecotoxicology of Hazardous Heavy Metals: Environmental Persistence, Toxicity, and Bioaccumulation. Journal of Chemistry, 2019, 6730305. https://doi.org/10.1155/2019/6730305 Aljerf, L., & Aljerf, N. (2023). Food products quality and nutrition in relation to public. Balancing health and disease. Progress in Nutrition, 25(1), e2023024. https://doi.org/10.23751/pn.v25i1.13928 Aljerf, L., Williams, M., Ajong, A. B., Onydinma, … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 18 May 2024 · 6,947 accessesView PDF Cite