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1712 articles for “process model”
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A Taxonomy of Machine Learning Techniques
Abstract: Learning is any process by which a system improves performance from experience. Training a model simply means learning (i.e., determining) good values for all the weights and therefore the bias from labeled examples. Machine learning (ML) is a sub-field of artificial intelligence that creates machines which exhibits learning capability and improve their performance from experience without being explicitly programmed. ML focuses on the creation of computer programs that can access …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 18–25 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Numerical Modeling of Drug Release from HPMC Carriers with Erosion
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Numerical modeling of drug release kinetics from hydroxypropyl methylcellulose (HPMC) carriers is investigated. Recently a comprehensive model describing the controlling processes of this kinetics (water uptake, drug …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 2, Issue 1, 2011 · pp. 30–35 Read article
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Aspen HYSYS Simulation of Suspension (Slurry) Process for the Production of Polyethylene
Abstract: AbstractThis study deals with the steady state simulation of polyethylene plant using Aspen HYSYS V10 simulation model. Looped reactor model is used to mimic the behaviour of the suspension (slurry) polymerization process. Effect of various operating conditions like the inflow rate of the monomer ethylene on solvent, catalyst, co-monomer and hydrogen flow rate are studied. Model predicted that the change in monomer flow rate linearly affected the process variables. Keywords: …
Published in Journal of Polymer & Composites · Vol. 6, Issue 3, 2018 · pp. 31–34 Read article
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Electromagnetic Finite Element Analysis of a Switched Reluctance Motor
Abstract: The objective of this study is to create an ideal model for an ultra-high speed switched reluctance motor generator for automotive turbocharger assistance and energy recovery by using electromagnetic finite element analysis. For this purpose, the transient simulation process is considered. The modelling and analysis of a switched reluctance motor (SRM) is the initial task for the selection of the coupled mover. The SRM must be able to achieve high …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 36–48 Read article
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Remote Healthcare Diabetic Retinopathy Detection Using Deep Learning
Abstract: High blood glucose levels are a hallmark of diabetes mellitus (DM), a metabolic disease. This can give rise to a range of complications, with Diabetic Retinopathy (DR) being among them. DR can impair vision and, if not addressed, may lead to a loss of eyesight. Symptoms include aberrant blood vessels, fluid leaks, exudates, haemorrhages, and retinal microaneurysms. With the advancement of technology, medical imaging has become one of the most …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 42–47 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Nitrosamine Accumulation, Processing Variables, and Indigenous Plant Inhibitors in Nigerian Traditionally Processed Meats
Abstract: N-nitrosamines are classified as probable or possible human carcinogens by the International Agency for Research on Cancer. Carcinogenic N-nitrosamines — principally N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA) — are formed in abundance during the preparation of widely consumed Nigerian traditional processed meats including suya, kilishi, and balangu. This original investigation combined a six geopolitical zone of Nigerian market survey with laboratory-controlled model system experiments, effects of processing parameters on N-Nitrosamine formation …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 61–72 Read article
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Hybridizing Principle of TOPSIS with Regression Metamodel Approach for the Optimization of CNC-WEDM Process Parameters
Abstract: Experiment is conducted on a Computer Numerical Control wire electric discharge machine under different conditions of process parameters. The experiment is carried out by using Aluminum Alloy AA6061 as a work material and a Brass wire as a cutting tool in CNCWEDM. This paper aims to develop a combination of DOE and Entropy based TOPSIS to solve multi response parameter optimization problems. An experimental investigation was carried out based on …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 18–25 Read article
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Predictive Modeling and Optimization of Citric Acid Bioproduction Using Ipomoea batatas Peel (Sweet Potato)
Abstract: In this research, the Box–Behnken design was adopted and applied to the process and the total of 30 experimental runs were generated for the liquefaction steps considered for the purpose of citric acid bioproduction using Ipomoea batatas peel (sweet potato) which was very helpful during the investigatory process of this research. The liquefaction step adopted were very sensitive as gross investigations to ascertain their usability was made and proven worthy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 13, Issue 1, 2022 · pp. 32–43 Read article
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Modeling Partially Replacement of Admixtures Influenced by Heterogeneity of Aggregate and Porosities on Variations of Compressive Strength
Abstract: This paper study the heterogeneity of compressive strength of partially replacing cement with different admixtures, the study monitored the heterogeneous application of aggregates in the development of mixed designed concrete model. The heterogeneous aggregates applied developed high percentage of heterogeneous porosities that affects the growth rates of compressive strength on the concrete model, the study examined these process to determined the extend heterogeneity affects other concrete properties on the designed …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 2, 2021 · pp. 64–98 Read article
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Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article
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Genesis of English Language with its Cybernetics Origin
Abstract: AbstractThis paper is looking into the genesis of the English language with its Cybernetics origins and hence looking into the possibilities of developing new techniques to be used in speech processing applications. As we all know, English is the third-most-spoken language in the world by a number of native speakers, which is used to create the present world, which is also a West Germanic language that was first spoken early …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 19–28 Read article
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Cognitive Polymer Composite Systems for Autonomous Biomedical Response
Abstract: Cognitive polymer composite systems: A novel form of intelligent biomaterials with the capability to sense, process and respond to real time physiological stimuli on their own. The present paper offers a comprehensive platform to integrate stimulus responsive polymers with intrinsic sensing networks and learning based decision models to offer adaptable bio-medical solutions. Mathematical formulations are available that are used to model stimulus response behavior, sensor signal processing and cognition decision …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Technological Review on Quantum Ballistic Transport Model Based Silicon Nanowire Field Effect Transistors for Circuit Simulation and Design
Abstract: Nanowire MOSFETs are recognized as one of the most promising candidates to extend Moore’s law into nanoelectronics era. This paper reviews the process, application, device physics and compact modeling of Gate All around (GAA) nanowire MOSFETs. The most widely used methods of nanowire synthesis have been discussed. The paper presents the various device optimization techniques and scaling potential of nanowire transistors. A process sensitivity study of silicon nanowire transistors at …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 5, Issue 2, 2015 · pp. 20–31 Read article
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Open Educational Resources and Open Access Publishing in Higher Education: Policies, Challenges, and Collaborative Models
Abstract: Open Educational Resources (OER) and Open Access (OA) publishing are transforming higher education by promoting equitable access to knowledge, reducing costs, and fostering collaborative innovation. While OER focus on openly licensed teaching and learning materials, OA ensures unrestricted online access to scholarly research. Together, they form an integrated open knowledge ecosystem aligned with global policy frameworks such as the UNESCO OER Recommendation (2019) and the Budapest Open Access Initiative. This …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 1, 2026 · pp. 7–12 Read article
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Finite Element Simulation of the Cold Open-Die Forging of Sintered Aluminum Metal Powder Trapezoidal Preforms
Abstract: This paper presents finite element simulation of the forging of sintered aluminium metal powder trapezoidal preforms at cold conditions. It involves basic experimental investigations followed by the finite element simulation of the forging process under consideration by the use of DEFORM. The basic experimental work includes the fabrication of compaction die-sets, production of aluminum metal powder trapezoidal preforms and simple compression test to obtain load-deformation data. The stress-strain data was …
Published in Trends in Mechanical Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 18–28 Read article
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Digital Frontiers in Life Sciences: The Transformative Role of Computing in Modern Biology
Abstract: The integration of computers in the biological sciences has revolutionized research and experimentation, facilitating advancements in areas such as genomics, bioinformatics, systems biology, and ecological modeling. The ability to process vast amounts of biological data efficiently has transformed how scientists study complex biological systems and phenomena. Computational tools enable the analysis of DNA sequences, protein structures, metabolic pathways, and ecological dynamics, which were previously beyond the reach of traditional laboratory …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 1–20 Read article
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Modeling the Influence of Microcrack Healing on Deformation of Asphalt Concrete Using NDT
Abstract: Asphalt concrete pavement practices heavy loading and environmental impacts through its service life. Micro cracks usually initiate and accumulate to form various types of distresses. However, asphalt concrete has the ability of self-healing with rest periods and hot environment conditions. The mechanical properties of Asphalt concrete is complex due to its dependency of temperature, loading frequency, and strain level. In this investigation, asphalt concrete specimens of wearing, binder and base …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 37–47 Read article
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Extended Kalman Filter Application For Launch Vehicle Trajectory
Abstract: Real time applications have been implemented out of intuitive modeling but due to inefficient estimation techniques there were deviations in the results from expected processes. To avoid these deviations for better performance modeling, many mathematical state estimation methods are in use. This paper focuses on a state estimation method for monitoring and control of a real time system. The existing models for state estimation, as well as the challenges associated …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 41–49 Read article