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43 results for “Disease Monitoring”

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Research ArticleOpen accessEvery word in the titleIoT-Based Technology Solution for Monitoring Small Breed Cardiac Dogs with Heart DiseaseJeremias Evangelista, Carlos Izarra, José Luis Castillo-Sequera, Lenis WongCaring for geriatric small-breed dogs with heart disease from home is a challenge due to the lack of technological tools available in the market, specifically in South America. This lack limits the quality of life of these canine companions and hinders early detection of cardiac problems. Heart disease is common in geriatric dogs of small and medium breeds and the … …Journal of Computer Science, Vol. 20, Issue 10 · 22 Jul 2024 · 5,465 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic Online Event-Based System for Monitoring and Extracting Infectious Disease-Related InformationMeshrif AlruilyWith the revolution of the internet, online data play a significant role in identifying disease outbreaks. This has led researchers, governments and organizations to pay close attention to such data in order to employ and exploit them in developing event-based systems. This research studies the infectious disease outbreaks domain in the Arabic language. In this paper, the Arabic Surveillance Infectious … …Journal of Computer Science, Vol. 15, Issue 1 · 22 Jan 2019 · 7,420 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,772 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Disease Index Based on Multi-Spectra of UAV to Estimate Cotton DiseaseBing Chen, Jing Wang, Qiong Wang et al.Verticillium wilt is a significant disease that affects cotton plants, which can lead to stunted growth and reduced yield. To address this, a multi-spectral comprehensive monitoring disease index model is developed using an Unmanned Aerial Vehicle (UAV) to monitor the severity of cotton Verticillium wilt. First, multi-spectral dates were collected from Hexacopter (HY-6X) and the phenotype disease grade of cotton … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 25 Mar 2024 · 5,087 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDisease Management Information SystemBens Pardamean, Anindito, Anjela Djoeang, Nana TobingThe study designed an information system model for Disease Management (DisMan) that met the specifications and needs of a consumer electronics manufacturer. The diseases monitored by this study were diabetes, hypertension and tuberculosis. Data were collected through interviews with the company’s human resources department and occupational health provider. As for the model, literature and online research were conducted to collect … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 2 Jul 2013 · 8,010 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalysis of Research Progress on Peanut Disease and Insect Pest Control Based on VOS ViewerPing Dong, Fei Peng, Yizhe Zhang et al.Peanut cultivation spans across more than 100 countries globally as a vital oilseed crop. Nevertheless, the menace of pests and diseases poses a threat to peanut yield and quality, consequently impeding economic prosperity. To delve into the current research landscape concerning peanut disease and pest control, this study adopts a bibliometric methodology and employs a VOS viewer for multidimensional visualization … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 5 Nov 2024 · 4,034 accessesView PDFCite
Review ArticleOpen accessIn the abstractJAK Inhibitors for Rheumatoid Arthritis: Assessing Efficacy and Safety in TreatmentAnastasia V. Poznyak, Varvara A Orekhova, Natalia Vladimirovna Elizova et al.Rheumatoid Arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation, progressive joint destruction, and systemic complications. Dysregulated cytokine signaling through the Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway plays a central role in RA pathogenesis, making JAK inhibitors an important therapeutic option. Tofacitinib, baricitinib, and upadacitinib are oral targeted synthetic disease-modifying antirheumatic drugs that interfere with … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 8 Oct 2026 · 412 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Integrated Nursing and Digital Droplet PCR on Bullous Dermatoid Conditions: A Randomized Controlled TrialConghui ChenBullous skin disease is an autoimmune disease characterized by the formation of blisters on the skin or mucous membrane, which seriously impairs the quality of life and overall health. Similar to the research on biomolecules (mechanics of protein interaction), cells (including cell membrane elasticity, cell adhesion, cytoskeletal dynamics, response to mechanical stimulation, cell deformation and cell endoforce transfer) and tissue … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 2 Jul 2026 · 985 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,599 accessesView PDFCite
Research ArticleOpen accessIn the abstractTomato Leaf Disease Detection by Hybrid Ai and Ml TechnologyP. Loganathan, M. John Britto, Vinston RajaDiseases that affect plants contribute to productivity decline, but they can be managed with ongoing monitoring. It is time-consuming and prone to error to track plant diseases manually. Early disease detection using Artificial Intelligence (AI) and machine vision can lessen negative impacts while also overcoming some of the limitations of continuous human monitoring. Therefore, this study uses both Deep Learning … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,881 accessesView PDFCite