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290 articles for “model presents”

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Research ArticleOpen accessIn the abstractPerformance Comparison of Passive Fault Tolerant Control Strategy with PI and Fuzzy Control of Single-Tank Level Process with Sensor and System FaultHimanshukumar R. Patel, Vipul A. ShahFault-Tolerant Control (FTC) strategy has gain maximum attention in recent years in chemical industries due to economical and safety hazards perspective. Targeting at the decreasing control performance of the single-tank level control process under the constraint of system and sensor faults, this article presents model-based Passive Fault-Tolerant Control (PFTC) strategy which are based on conventional and artificial intelligence control. The … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 24 Jun 2019 · 7,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrototyping Rule-Based Expert Systems with the Aid of Model TransformationsAlexander Yurievich Yurin, Nikita Olegovich Dorodnykh, Olga Anatolievna Nikolaychuk, Maksim Andreevich GrishenkoThe problem of improving efficiency of intelligence systems engineering remains a relevant topic of scientific research. One of the trends in this area is the use of the principles of cognitive (visual) modelling and design as well as approaches based on generative programming and model transformations. This paper aims to describe the implementation and application of model transformations for prototyping … …Journal of Computer Science, Vol. 14, Issue 5 · 3 Apr 2018 · 8,149 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Test Case Generation based on a Software Product Line for Model TransformationAlexandre Augusto Giron, Itana Maria de Souza Gimenes, Edson OliveiraJrModel-Driven Engineering (MDE) supports model evolution and refinement by means of model transformations at several abstraction levels. Validating these transformations is essential to ensure the quality and correctness of such models. However, MDE transformations become more complex to validate, for example, when they are implemented in different languages. One particular example is the transformation of the SyMPLES approach. SyMPLES is … …Journal of Computer Science, Vol. 14, Issue 1 · 22 Jan 2018 · 8,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractCircular Economy Modeling for Waste and Energy Management in A Developing Country: The Case of Greater Beirut AreaAbbas El Toufaili, Dario Pozzetto, Elio Padoano et al.Lebanon's energy system depends largely on imported fuels. Lebanon presented its commitment to increase by 30% its share of Renewable Energies (RE) by 2030. GBA lacks an integrated Municipal Solid Waste Management (MSWM) system. The waste composition in the Greater Beirut Area (GBA) is made of 52.2% organic waste which can be exploited for the production of green Hydrogen (H2) … …American Journal of Environmental Sciences, Vol. 20, Issue 1 · 22 Nov 2024 · 5,210 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Temperature-Dependent Thermal Properties of Titanium Aluminide Using ANN Predictive ModelingArmaghan Shalbaftabar, Kristen Rhinehardt, Dhananjay KumarThis study presents a comprehensive analysis of the thermal behavior of Titanium Aluminide (TiAl) across a range of temperatures using an Artificial Neural Network (ANN) predictive model. The study investigates various material properties of TiAl, including Band Gap, Young Module, Density, Energy Absorption, Thermal Conductivity, and Specific Heat, at different temperature points. The ANN model accurately captures the temperature-dependent trends … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 4 · 20 Nov 2024 · 4,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,079 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Big Data Classifier for Biomedicine Early Diagnosis: An Experimental Approach Using Machine Learning MethodsMa Beth Solas Concepcion, Bobby Dioquino Gerardo, Frank Ibañez Elijorde et al.In the fast-phase world, data availability is abundant due to a rapid adaptation increase of big data technologies. Large amounts of data have been generated and collected at an unprecedented speed and scale, introducing a revolution in medical research practices for biomedicine informatics. Thus, there is an immense demand for statistically rigorous approaches, especially in the medical diagnosis discipline. Therefore, … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,510 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Mental Health Counseling Conversation Using Natural Language ProcessingSaad Ahmed, Sidrah Khurshid, Muhammad Imran et al.One of the most significant public health challenges of our day is mental illness. Despite the benefits of psychotherapy and counseling, our understanding of conducting effective counseling conversations has been limited due to a lack of high-quality data with labeled results. This research presents a quantitative analysis of relatively good-quality data scraped from an online counseling forum. The dataset comprises … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting the Remaining Lifetime of Distribution Transformers using Machine LearningNtiminity Abontakoyah Enoch, Puguo Gbene George, Justice AningDistribution Transformer is a crucial element in deciding the power flow in large power systems. Their better performance implies high power system efficiency and enhanced power transfer capability. However, various Distribution Transformer failures in the recent past lead to power supply disturbance and have acquired much attention from the electrical intellectuals. It is of considerable significance to accurately get the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 1 Jan 2021 · 6,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 888 accessesView PDFCite