10 results for “Near Real-time”

Set a search alert

Research ArticleOpen accessPhrase in the titleA Near Real-time Early Warning System on Erosion HazardsFaisal H. Ali, Tew K. HuiWith many incidences of landslides, mudslides and erosion occurrences lately, especially in the highlands in Malaysia, properties were damaged and lives were lost. Seeing the need of resolving and minimizing such untoward incidences, a study has been embarked on developing a near real-time early warning system on erosion hazards so as to provide an early warning to the public, whenever … …American Journal of Environmental Sciences, Vol. 2, Issue 4 · 31 Dec 2006 · 6,706 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsThe Development of a New, Rapid, Amperometric Immunosensor for the Detection of Low Concentrations of Bacteria Part II: Optimization of the System for Escherichia coliEric Carnes, Ebtisam WilkinsThe optimization of a flow-through immunoassay system was conducted to achieve rapid detection of low concentrations of E. coli bacteria. The system includes a new immunosensor that uses newly developed, disposable immunofiltration membranes to yield a system that is sensitive as well as simple. Comparison of the performance of this system with conventional immunoassays demonstrated a significantly shorter time for … …American Journal of Applied Sciences, Vol. 2, Issue 3 · 31 Mar 2005 · 6,780 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,567 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComparative Study of BERT Based Architectures for Multi Task News Classification and Threat DetectionA. Mustain Billah, Sani M IsaWe present a comparative analysis of single-task and multi-task BERT-based models for Indonesian news classification across two objectives: category prediction (five classes) and threat detection (binary). Using 8,951 annotated news titles, single-task baselines achieved weighted F1 scores of 0.84±0.01 (category) and 0.87±0.00 (threat). Multi-task hybrids integrating CNN, LSTM, and Bi-LSTM layers performed comparably overall and improved minority class threat detection, … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,124 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCharacteristics of Cut Head Hair: An Evidence in Criminal InvestigationsPol. Maj. Satina Polyiam, Pol. Lt. Sasithorn Boonmapa, Wuttichai Phae-Ngam, Pichet LimsuwanOne hot news occurred in Thailand one year ago was a 3-year-old girl was murdered and only a number of hair strands were found near her body and likely cut by a knife. Later some cut hairs were found at the cloth of the suspect. In this study, the authors would like to match the hairs found at the crime … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 6 Oct 2021 · 14,375 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAutomated Fall Armyworm (Spodoptera frugiperda, J.E. Smith) Pheromone Trap Based on Machine LearningSimon H. Chiwamba, Jackson Phiri, Philip O.Y. Nkunika et al.Maize is the main food crop that meets the nutritional needs of both humans and livestock in the sub-Saharan African region. Maize crop has in the recent past been threatened by the fall armyworm (Spodoptera frugiperda, J.E Smith) which has caused considerable maize yield losses in the region. Controlling this pest requires knowledge on the time, location and extent of … …Journal of Computer Science, Vol. 15, Issue 12 · 19 Dec 2019 · 8,364 accessesView PDF Cite

Research ArticleOpen accessIn the abstractTowards a Generic Multimodal Architecture for Batch and Streaming Big Data IntegrationSiham Yousfi, Maryem Rhanoui, Dalila ChiadmiBig Data are rapidly produced from various heterogeneous data sources. They are of different types (text, image, video or audio) and have different levels of reliability and completeness. One of the most interesting architectures that deal with the large amount of emerging data at high velocity is called the lambda architecture. In fact, it combines two different processing layers namely … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Jan 2019 · 7,646 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEvaluating the Efficiency of CPUs, GPUs and FPGAs on a Near-Duplicate Document Detection Via OpenCLErcan CanhasiDiscovering identical or near-identical items is urgently important in many applications such as Web crawling since it drastically reduces the text processing costs. Simhash is a widely used technique, able to attribute a bit-string identity to a text, such that similar texts have similar identities. In this study, a real-time solution for a simhash calculation in OpenCL is presented. We … …Journal of Computer Science, Vol. 14, Issue 5 · 28 Apr 2018 · 7,370 accessesView PDF Cite

Research ArticleOpen accessIn the abstractWeed Detection over Between-Row of Sugarcane Fields Using Machine Vision with Shadow Robustness Technique for Variable Rate Herbicide ApplicatorA. Muangkasem, S. Thainimit, R. Keinprasit, T. IsshikiProblem statement: Uniformly herbicide rate is used as a conventional practice in Thailand for controlling weeds in sugarcane fields. Since weeds usually grow in certain areas with non-uniformly distribution, uniform herbicide rate approach is not suitable and non-sustainable agricultural technique both in terms of economic an environmental aspect. To address these issues, Variable Herbicide Rate (VHR) was introduced. The VHR … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 8,232 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA New Approach in Individual Tree Counting of Nyatoh (Palaquium spp.) Using an Airborne SpectroradiometerKamaruzaman JusoffProblem statement: In Malaysia inadequate data are available to make decisions regarding the sustainable management of Nyatoh (Palaquium spp.). Factual data and estimation of Nyatoh in the lowland dipterocarp forest resources are still lacking or, if available, are not complete, reliable or up to date. The collection and compilation of information and updating of existing data in near real time … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,955 accessesView PDF Cite