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14 articles for “Real-Time Data CAPTURE”
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Research ArticleOpen accessPhrase in the titleReal-Time Data Capture Model for Accelerated Payment of Small-Scale FarmersNatasha Mwansa, Jackson PhiriMost developing countries especially in Africa face a number of challenges in the area of food security. These challenges include proliferation, theft, poor inventory system, poor transport and communication network. Zambia is one of the countries with these challenges and has been losing millions of dollars each year due to various challenges in managing the inventory system. In this paper, … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 29 Sep 2018 · 7,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital MediaTinashe Crispen Garidzira, William Tichaona Vambe, Courage MatoboboThe rapid growth of AI-generated content from ChatGPT, Gemini, and many others poses significant challenges in digital media. There are increasing instances of text generated by machine learning models being indistinguishable from human-written text. This calls for an effective way of detecting and distinguishing text generated by AI from human text. Using a Cross-Industry Standard Process for Data Mining (CRISP-DM) … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 2,416 accessesView PDFCite
Review ArticleOpen accessIn the abstractIOT-Based Smart Helmet for COVID-19 Detection and ManagementFoziah GazzaweCovid-19 is one of the pandemics that has shocked the world. Having originated from China, the virus rapidly spread across many countries of the world. There was a need to come up with mechanisms to manage the spread of the virus. The traditional methods of temperature capture through thermal handheld gun thermometers were tedious and exposed the officers to the … …Journal of Computer Science, Vol. 19, Issue 11 · 14 Nov 2023 · 6,046 accessesView PDFCite
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 PDFCite
Research ArticleOpen accessIn the abstractComputing MDR-Game with Applications to Real DataJimbo Henri Claver, Takeru Suzuki, Jesus Pascal et al.Originally developed for probability and statistic purposes, Multiple Dice Rolling (MDR) game turns out to be useful for many other applications such as complex biological systems and medical research. It has been mainly used to estimate system states that cannot be observed directly. MDR game is affected by noise and fluctuations. It is widely agreed that noise in dynamic systems … …Journal of Computer Science, Vol. 14, Issue 7 · 17 Jul 2018 · 7,789 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Detection of Palm and Hand Landmark for Speech Impaired People Using Mediapipe ModelSharmila Rathod, Nilesh Rathod, Nilesh Marathe et al.Human-machine interaction may be a basic figure in this age of touch-screen gadgets. Numerous gadgets are being created that can be worked without touching the system. So, in this consideration, how to function the framework utilizing signals instead of touching it appears. The point of this study is to create different communication procedures between humans and individual computers that would … …Journal of Computer Science, Vol. 20, Issue 9 · 24 Jun 2024 · 5,415 accessesView PDFCite
Research ArticleOpen accessIn the abstractEVENT-DRIVEN BUSINESS INTELLIGENCE APPROACH FOR REAL-TIME INTEGRATION OF TECHNICAL AND FUNDAMENTAL ANALYSIS IN FOREX MARKETMohammed AbuHamad, Masnizah Mohd, Juhana SalimForex market is the most liquid financial market and the largest market in the world. Forex market has been analysed using two isolated approaches, technical analysis and fundamental analysis. Technical analysis attempts to predict the movement of prices by studying the historical data of the market whereas fundamental analysis concerns essentially with the overall state of the economy. Relying on … …Journal of Computer Science, Vol. 9, Issue 4 · 13 May 2013 · 7,299 accessesView PDFCite
Research ArticleOpen accessIn the abstractPro-Active Prevention of Clone Node Attacks in Wireless Sensor NetworksK. M. Anandkumar, C. JayakumarProblem statement: Wireless mobile sensor networks are deploying large, self-organized and adaptable sets of sensors for many applications such as military, environmental, health care, remote monitoring and other applications. Unfortunately, the simplicity and low-cost of these sensors make eases cloning of compromised nodes by attackers in the network. Due to the unattended nature of wireless sensor networks, an adversary can … …Journal of Computer Science, Vol. 8, Issue 10 · 28 Aug 2012 · 7,072 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach based on Winter's Model and Weighted Fuzzy Time Series for Forecasting Trend and Seasonal DataSuhartono, Muhammad Hisyam LeeProblem statement: In the literature, the most studied of fuzzy time series for the purpose of forecasting is the first order fuzzy time series model. In this model, only the first lagged variable is used when constructing the first order fuzzy time series model. Therefore, such approaches fail to analyze accurately trend and seasonal time series which is an important … …Journal of Mathematics and Statistics, Vol. 7, Issue 3 · 18 Jul 2011 · 7,942 accessesView PDFCite
Research ArticleOpen accessIn the abstractData-Driven Forecasting Schemes: Evaluation and ApplicationsJosip Vrbanek Jr, Wilson WangA reliable multi-step predictor is very useful to a wide array of applications to forecast the behavior of dynamic systems. The objective of this paper is to develop a more robust data-driven predictor for time series forecasting. Based on simulation analysis, it is found that multi-step-ahead forecasting schemes based on step inputs perform better than those based on sequential inputs. … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,565 accessesView PDFCite