Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

77 results for “propagation model”
Set a search alert
Research ArticleOpen accessIn the abstractPredicting Risk of Diabetes using a Model based on Multilayer Perceptron and Features ExtractionFrancesca Fallucchi, Alessandro CabroniDiabetes (diabetes mellitus) is a disease emerging when a person has a high blood sugar level for a prolonged period. In the healthcare context, one of the most important topic is the prevention of the disease. This study relates to diabetes prevention. In particular, it aims to produce random generated datasets according to a rule named Finnish Diabetes Risk Score … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnvironmental Impact Assessment of Quarrying Plants: An IRF Kriging Solution to Noise and Airborne Dust MonitoringDario Lippiello, Guido Alfaro Degan, Mario PinzariA geostatistical approach is tested for the assessment of the environmental impact generated by industrial plants on the surrounding areas. To this end, a case study of a tuff quarry in the Italian region of Lazio is presented. The method utilised is Intrinsic Kriging with external drift which allows spatial maps of different hazardous agents like noise and airborne dust … …American Journal of Environmental Sciences, Vol. 15, Issue 1 · 9 Feb 2019 · 7,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of the Impact of Obstacles on the Capacity of a LTE Network in Urban Area in the UplinkAkohoule Alex, Konate Adama, Brou Pacôme, Asseu OlivierPower control is a major issue in the deployment of 4G mobile networks. Indeed, environmental constraints (relief, Air, noise,...) affect the propagation channels of mobile network systems. The new multimedia services, which consume large amounts of radio resources (frequencies), then lead to an optimization of power control in the cellular coverage in the uplink direction. The aim is to optimize … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 17 Jan 2019 · 8,295 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive RadioArchana Krishnamuthy, Sudhindra Kumbhashi RajgopalCognitive radio technology has advanced to address the challenge of limited spectrum availability by employing spectrum sensing techniques. This process is framed as a detection problem involving two core hypotheses: Hypo-0 and Hypo-1. Hypo-0 represents the scenario where only noise is present, and its modeling depends on parameters such as the number of observed samples, the timing of signal acquisition, … …Journal of Computer Science, Vol. 21, Issue 8 · 4 Sep 2025 · 5,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Survey on Fake News Detection Using Machine LearningShraddha Shah, Sachin PatelIn the age of information data surplus and social media impact, the propagation of fake news has developed a significant societal concern. This challenge requires robust tools and methodologies for addressing, with machine learning emerging as a promising approach. The paper reviews different machine learning techniques in fake news detection, including supervised, unsupervised and semi-supervised methods. Supervised methods utilize labelled … …Journal of Computer Science, Vol. 21, Issue 4 · 20 Mar 2025 · 9,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractBOOM: Rainbow’s Gravity as the Source of Light RefractionMohsen LutephyAli, A. F., Faizal, M., & Majumder, B. (2015). Absence of an effective Horizon for black holes in Gravity’s Rainbow. Europhysics Letters, 109(2), 20001. https://doi.org/10.1209/0295-5075/109/20001 Ali, A. F., & Khalil, M. M. (2015). A proposal for testing gravity’s rainbow. Europhysics Letters, 110(2), 20009. https://doi.org/10.1209/0295-5075/110/20009 Amelino-Camelia, G., Ellis, J., Mavromatos, N. E., & Nanopoulos, D. V. (1997). Distance Measurement and Wave … …Physics International, Vol. 12, Issue 1 · 23 Dec 2021 · 8,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractFault-Tolerant Control of a Nonlinear Uncertain System: A Neural Network-Based Passive Approaches and Comparative Study with State-of-the-Art Control ApproachesSejal K. Raval, Himanshukumar Rajendrabhai Patel, Vipul A. ShahThis article suggests passive methods for designing Fault-Tolerant Control (FTC) for nonlinear uncertain systems with actuator and leak faults. To anticipate the Fault-Tolerant Control (FTC) action to overcome the actuator and leak faults, two-layer Feed-Forward Back-Propagation Neural Network (FFBPNN) and two-layer Cascade Forward Neural Network (CFNN) have been used, it will also tolerate external process additive disturbances. We employ the … …Journal of Computer Science, Vol. 17, Issue 7 · 3 Aug 2021 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of the Smart City Architecture, Speed and Traffic Density of Vehicles on the Performances of VanetsAbdallah Rhattoy, Mohamed Lahmer, Idriss ChanaVehicular Ad-hoc Networks (VANET) is one of the emerging and actual research fields in automotive companies and Intelligent Transportation Systems (ITS) designers. In the Smart City the presence of such networks opens the way for a wide range of applications such as safety applications, mobility and connectivity for both driver and passengers to exploit the transport systems in a smoothly … …Journal of Computer Science, Vol. 13, Issue 11 · 15 Nov 2017 · 7,538 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptic Disc Segmentation in Fundus Images with Deep Learning Object DetectorManal AlGhamdiThe Optic Disc (OD) is an important anatomical landmark in the fundus image to diagnose a myriad of diseases, such as glaucoma and Diabetic Retinopathy (DR) and to locate structures such as the macula and the main vascular arcade. However, locating and segmenting the OD are not easy tasks. Previous methods have employed a deep Convolutional Neural Network (CNN) without … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 7,372 accessesView PDFCite
EditorialOpen accessIn the abstractThe Timeless Contribution of Rootstocks towards Successful Horticultural Farming: From Ancient Times to the Climate Change EraIoannis E. PapadakisGrafting is a horticultural practice by which living vegetative plant organs (root, stem and/or buds) of either the same genotype or, usually, different genotypes belonging to the same species, genus, subfamily and/or family, are tightly connected to each other to form a double-compound plant. In fact, it is a method of asexual (clonal-vegetative) propagation of plants. The basal part of … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 4 · 16 Dec 2016 · 9,521 accessesView PDFCite