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43 results for “Temperature Monitoring”

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Research ArticleOpen accessPhrase in the titleAssessment of Continuous Vaginal Logger-Based Temperature Monitoring in Fever-Induced GiltsMariana Schmidt, Christian Ammon, Peter Schon et al.The aim of this study was to identify a low risk method to induce fever in gilts and to evaluate vaginal sensors for temperature monitoring. Therefore, a rhinitis atrophicans vaccine was used to induce fever to evaluate sensors and behavioral patterns. During 11 trials, two of four animals were injected with 2 mL of the vaccine Porcilis AR-T DF (Intervet) … …American Journal of Animal and Veterinary Sciences, Vol. 8, Issue 2 · 3 Apr 2013 · 7,666 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIoT-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 accessIn the keywordsSoft Sensors for Monitoring Combustion Quality and Flue Gas Emissions in Power Station BoilersNallamilli P G Bhavani, Kesavan Sujatha, Ponmagal RajendranThis research work includes a combination of Fisher’s Linear Discriminant (FLD) analysis by merging Radial Basis Function (RBF) Network and Back Propagation Algorithm (BPA) for monitoring the combustion conditions of a coal fired boiler. The CCD Camera is used to capture the two dimensional flame images. The features such as images, average intensity, area, brightness and orientation etc., of the … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 7 Feb 2018 · 7,552 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial-Dynamics of Trace Metals Accumulation and Physicochemical Characteristics in Ikpukulu-Ama Creeks, Rivers State, NigeriaDavies Ibienebo Chris, Khang Wen Goh, Davies Imachrist Ibienebo et al.The study examines the spatial-dynamics variability of water parameters and trace metal concentrations between January and June 2023 at the Ikpukulu-Ama sites of the Bonny River, Nigeria. Key parameters analyzed include temperature, salinity, pH, transparency, dissolved oxygen, and trace metals (Ni, Pb, Cd, Cu, Zn) across three sites. The highest temperature, 32.56°C, was recorded at Site 2, indicating potential thermal … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 29 Jul 2026 · 494 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatio-Temporal Anomaly Detection in Groundwater Electrical Conductivity Using a Hybrid Framework of Isolation Forest and AutoencoderEunji Lee, Seunghyun Lim, Seojun Lee, Abhijit DebnathMonitoring groundwater quality is vital for environmental safety and resource sustainability. This study combines Isolation Forest and Autoencoder models to detect anomalies in Electrical Conductivity (EC) and temperature, using monthly data collected in South Korea between 2006 and 2023. Linear regression and the Mann-Kendall test reveal a weak, episodic downward EC trend. Seasonal decomposition indicates annual cyclicality, while residual analysis … …Journal of Computer Science, Vol. 22, Issue 1 · 14 Feb 2026 · 1,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things Based COVID-19 Patient in Self-Isolation Monitoring SystemBagaskara Akbar Fadhlillah, Ditdit Nugeraha UtamaSelf-isolation has become a critical measure for managing symptomatic or asymptomatic COVID-19 patients, particularly when healthcare facilities are overwhelmed. This study explores a monitoring system based on commercially available Wear OS smartwatches designed to track patient vital signs, specifically oxygen saturation (SpO₂), heart rate, and location, and generate alerts during atypical events. The research has two primary objectives, first, to … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet 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 abstractWater Characteristics Assessment, Bioaccumulation and Health Risk Evaluation of Possible Ingestion of Toxic and Essential Metals in Chromidotilapia guntheri Sourced from Ada River, West AfricaTunde Ohiokhioya Thaddeus Imoobe, Eugene Iragboghie Okhakhu, Osikemekha Anthony AnaniThe water ecosystem has been acclaimed to be polluted with various chemicals that may pose possible risks to the biota therein and affect the end consumers who ingest them via the food chain system. This study evaluates the water characteristics, bioaccumulation and non-carcinogenic risk potentials in the ingestion of toxic metals like (Cu, Fe, Zn, Mn and Pb) in Chromidotilapia … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 18 Mar 2024 · 4,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Observation Study for Cold and Freezing Injury of Sugarcane Based on China Meteorological Administration Land Data Assimilation System, CLDAS Temperature DataYanli Chen, Yongming Luo et al.Based on the China meteorological administration Land Surface Data Assimilation System (CLDAS), the CLDAS temperature product is examined and analyzed using remote sensing information, and a revised temperature model is established for the monitoring and evaluation of sugarcane chilling and freezing damage. The results show that: (1) The CLDAS temperature products are highly positively correlated with the measured temperatures of … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 21 Dec 2023 · 4,995 accessesView PDFCite