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116 results for “Intelligent Systems”
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Research ArticleOpen accessEvery word in the titleEvaluation of Soil Moisture Sensors under Intelligent Irrigation Systems for Economical Crops in Arid RegionsMohamed Said Abdall El Marazky, Fawzi Said Mohammad, Hussein Mohamed Al-GhobariProblem Statement: In irrigation water management, irrigation water use represents a substantial opportunity for agriculture water savings. Automation of irrigation systems, based on Soil Moisture Sensors Systems (SMSS) has the potential to provide maximum water use efficiency by maintaining soil moisture at optimum levels. Approach: The objective of this research was to evaluate the performance of soil moisture sensors under … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 2 · 24 Jun 2011 · 8,904 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA REVIEW OF INTELLIGENT CONTROL SYSTEMS APPLIED TO THE INVERTED-PENDULUM PROBLEMPedro Ponce, Arturo Molina, Eugenio AlvarezThis study shows the latest advances in the application of intelligent control to the inverted-pendulum problem. A complete review regarding intelligent control design is presented in this study in order to show the most important artificial intelligence methods used for controlling an Inverted-Pendulum. Also this study proposed the use of a neural-fuzzy-with-genetic-algorithms controller for the inverted pendulum problem which gives … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 2 · 7 Apr 2014 · 8,379 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntelligent Voice-Based Door Access Control System Using Adaptive-Network-based Fuzzy Inference Systems (ANFIS) for Building SecurityWahyudi, Winda Astuti, Syazilawati MohamedSecure buildings are currently protected from unauthorized access by a variety of devices. Even though there are many kinds of devices to guarantee the system safety such as PIN pads, keys both conventional and electronic, identity cards, cryptographic and dual control procedures, the people voice can also be used. The ability to verify the identity of a speaker by analyzing … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 8,547 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Low-Cost Vehicular Infrastructure of Monitoring and Communicating Information for Intelligent Transport SystemsDaniel Rodrigues, Jessica Nayara Severino, Andre Luis Cristiani et al.Currently, vehicles have a very large range of sensors and actuators, capable of not only sensing the condition of vehicles but also the environment around them. The information from these sensors can be used for various services in which they can bring greater comfort, safety and entertainment to the passengers and conductors of the vehicle. However, the great challenge lies … …Journal of Computer Science, Vol. 15, Issue 7 · 5 Jul 2019 · 7,719 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDatComNet: Designing an Intelligent Visual Tool for Teaching Data Communication and Network Information SystemsAbdel B. Salem, Ibrahiem M.M. El Emary, Hussain F. SindiDatComNet is a tutorial tool designed to assist students in understanding the concepts of designing, implementing and managing the data communication networks. It is particularly useful for computer science and computer engineering students in computer communication network courses. The DatComNet interface is written in C++ and clips. The use of Java as the language of implementation provides platform independent access … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 6,918 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 599 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Mixed Integer Linear Programming for Optimising the Residential Solar Energy Storage SystemTeube Cyrille Mbainaissem, Dethie Dione, Bakary Kone, Youssoupha ToureThe global electricity sector is facing a major transition to sustainable energy sources, with consumers playing a crucial role in realising the full potential of the international energy market. Residential energy storage systems are a priority to promote local flexibility and participation in the energy transition. The combination of solar energy generators and storage batteries is a key method of … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 16 Jul 2026 · 1,196 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Deep Learning Models for Text Classification: Performance Evaluation of TriDistilBERT and BiGRU ArchitecturesAmira Samy TalaatText can be a valuable source of information, but its unstructured nature makes analysis challenging and time-consuming. Machine Learning (ML) algorithms can efficiently analyze and structure text, enabling organizations to automate processes and uncover insights that support better decision-making. This study focuses on applying ML to a classification problem using two datasets. Four deep learning models are introduced, combining Bi … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,792 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProposed Self-Regulation Model for Collaborative E-Learning Systems in Kenyan Public UniversitiesGrace Leah Akinyi, Robert ObokoIntegration of technology in learning such as Electronic-learning has become an indispensable segment of higher education in Sub-Saharan Africa. This has opened up opportunities that improve teaching and learning. There is need for intervening in e-learning environments towards developing Self-regulated learning support, which can lead to improvement in performance and learner retention. SRL provides students with capability to acquire and … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2020 · 7,717 accessesView PDFCite