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51 results for “Multilayer”

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Research ArticleOpen accessEvery word in the titlePredicting 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 accessEvery word in the titleCross Validation Evaluation for Breast Cancer Prediction Using Multilayer Perceptron Neural NetworksShirin A. Mojarad, Satnam S. Dlay, Wai L. Woo, Gajanan V. SherbetProblem statement: The presence of metastasis in the regional lymph nodes is the most important factor in predicting prognosis in breast cancer. Many biomarkers have been identified that appear to relate to the aggressive behaviour of cancer. However, the nonlinear relation of these markers to nodal status and also the existence of complex interaction between markers have prohibited an accurate … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 7,699 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Security Model using Multilayer Approach for E-Health ServicesRossilawati Sulaiman, Dharmendra Sharma, Wanli Ma, Dat TranProblem statement: Delivering services online is important in e-health. Services that are delivered through online communications between engaging parties, often involve sensitive information transmitted over the Internet. However, while the Internet successfully facilitates these services, significant threats also come in parallel. Network attacks, information breaches and malicious software on a computer system are common threats to the Internet. These threats … …Journal of Computer Science, Vol. 7, Issue 11 · 29 Aug 2011 · 6,822 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMoisture Content Prediction of Dried Longan Aril from Dielectric Constant Using Multilayer Perceptrons and Support Vector RegressionSanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee AuephanwiriyakulProblem statement: Estimation of moisture contents of dried food products from their dielectric constants was an important step in moisture measurement systems. The regression models that provide good prediction performance are desirable. Approach: The Multilayer Perceptrons (MLP) and Support Vector Regression (SVR) were applied in this research to predict the moisture contents of dried longan arils from their dielectric constants. … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,666 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThermal Treatment Effects on the Thermoelectric Properties of Ni/Si/Si + Sb/Si/Si + Ge/Ni Multilayer Thin FilmsSatilmis Budak, Zhigang Xiao, Shujun YangThe multilayer thermoelectric devices including Ni/200 layers of Si/Si + Sb/200 layers of Si/Si + Ge/Ni thin films were fabricated using electron beam and DC/RF magnetron sputtering deposition systems. The thickness measurements have been performed using Filmetrics UV thickness measurement system. The Au contacts at the bottom and top of the fabricated thermoelectric devices were measured as 100 nm for … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 14 Nov 2020 · 6,710 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThermoelectric and Optical Properties of Advanced Thermoelectric Devices from Different Multilayer Thin FilmsMebougna Drabo, Satilmis BudakThermoelectric devices were prepared using different multilayered thin film structures in the order of Ge/Si+Ge, Si+Ge, Si, Sb+Ge, Ge and SiO2/SiO2+Ge by DC/RF Magnetron Sputtering. The thickness of the deposited thin films were measured using Filmetrics UV thickness measurement system. The prepared thermoelectric devices have been modified with 5 MeV Si ions bombardments at the different fluences (doses) using Pelletron … …American Journal of Applied Sciences, Vol. 16, Issue 8 · 29 Aug 2019 · 8,113 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHighly-Efficient Advanced Thermoelectric Devices from Different Multilayer Thin FilmsSatilmis Budak, Zhigang Xiao, Barry Johnson et al.The efficiency of the thermoelectric materials and devices is shown by the dimensionless Figure of merit, ZT. ZT is calculated by multiplying the Seebeck coefficient with square of the electrical conductivity and absolute temperature and dividing it all by the thermal conductivity. Thermoelectric devices were prepared using different multilayered thin film structures in the order of SiO2/SiO2 + Ge/Ge/Sb + … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 27 Apr 2016 · 8,368 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHALF OF THRESHOLD ALGORITHM: AN ENHANCED LINEAR ADAPTIVE SKIPPING TRAINING ALGORITHM OR MULTILAYER FEEDFORWARD NEURAL NETWORKSManjula Devi Ramasamy, Kuppuswami Subbaraya GounderMultilayer Feed Forward Neural Network (MFNN) has been successfully administered architectures for solving a wide range of supervised pattern recognition tasks. The most problematic task of MFNN is training phase which consumes very long training time on very huge training datasets. An enhanced linear adaptive skipping training algorithm for MFNN called Half of Threshold (HOT) is proposed in this research … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 22 Nov 2013 · 7,016 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePhishing Website Detection Using Improved Multilayered Convolutional Neural NetworksHadia Bibi, Syed Rehan Shah, Mirza Murad Baig et al.The internet has become an essential part of many fields: Communication, entertainment, commerce, industrial production, agriculture, etc. Unfortunately, online users are vulnerable to various attacks; this could lead to financial damages and loss of personal information. Phishing is seen as an internet threat and a cybercrime where anyone can capture personal information and data by posing as a reliable source. … …Journal of Computer Science, Vol. 20, Issue 9 · 6 Jul 2024 · 6,578 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCooling Load Prediction in the Under-Actuated Zone with Multilayer Perceptron Artificial Neural NetworkYaddarabullah, Aedah Abd Rahman, Amna SaadThis study focuses on addressing the challenge of predicting cooling loads in under-actuated zones, where the variability in occupant behavior, environmental conditions, and electronic usage creates complex dynamics. Traditional models like Support Vector Regression (SVR) and E-Lastic-Net (ELN) often struggle to capture these non-linear relationships, leading to inefficient Heating, Ventilation, and Air Conditioning (HVAC) management and increased energy consumption. To … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 5,300 accessesView PDFCite