3 results for “Pre-Emptive”

Set a search alert

Research ArticleOpen accessIn the keywordsEfficient Scheduling of Packets in Wireless Sensor Networks Using Priority Based Scheduling ApproachB. Booba, T.V. GopalThe packet scheduling is essential and plays an important role to sense the element nodes with resource constraints in Wireless Networks. The packet scheduling scheme also scale the energy consumption and end-to-end information transmission delay in time period and non-real-time information packets during wireless transmission. The proposed Priority based Packet Scheduling (PPS) technique has a tendency to overcome the issues … …Journal of Computer Science, Vol. 11, Issue 1 · 9 Aug 2014 · 7,091 accessesView PDF Cite

Review ArticleOpen accessIn the abstractCarbapenem-Resistant Enterobacteriaceae in Korean Elderly Nursing Hospitals in 2023: Prevalence, Mortality, and Resistance PatternsLee Hye Seong, Jang Sung Hun, Kim Jae KyungInfections caused by Carbapenem-Resistant Enterobacteriaceae (CRE) represent a critical threat in healthcare settings owing to limited therapeutic options and high associated mortality. However, the epidemiological patterns and dynamics of CRE transmission in geriatric care hospitals remain poorly characterized. We elucidated the monthly incidence, bacterial species distribution, resistance genotypes, and patient demographics of CRE infections among inpatients at a senior care … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 30 Jan 2026 · 2,101 accessesView PDF Cite

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 PDF Cite