Search
1712 articles for “process model”
-
Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
-
Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
-
Optimizing Milling Parameters in Face Milling Operation
Abstract: In statistics, response surface methodology (RSM) establish a relationship between several self or system explanatory variables and one or more response variables. Since many variables are involved to control the process, the requirement of some mathematical models to represent the process is found to be necessary. In order to extract the result by this statistical analysis, the experimental results will have to be processed using the analysis of variance (ANOVA). …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 60–76 Read article
-
Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
-
Accelerating High Arithmetic Intensity Storm Surge Model using CUDA
Abstract: GPUs (Graphic Processing Units) have opened the floodgates for high-performance computing, especially for programs that involve high-level arithmetic computations. Though parallel computing capability has been around for many years, it requires large and expensive hardware resources in the form of supercomputers. Presently, GPUs are found in all computing devices due to their reasonable prices. GPUs are now being tapped for speeding up legacy codes, especially in FORTRAN that involves high …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 2, 2016 · pp. 9–21 Read article
-
The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
-
Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
The Advanced Foam Materials Production in Microgravity using the Process of Vibroturbulization
Abstract: Recently, the task of the intensification of the existing technological processes using the intensivemixing of different environment, which are characterized by different densities (water + gas, water +solid particles + gas, water + oil so forth) is actual. The conducted studies determined that at acertain frequency and vibration acceleration of vibration, a resonant phenomenon occurs—vibroturbulization, in which the above of the fluid surface air in a vibrating vessel with fluid …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 12, Issue 1, 2021 · pp. 34–47 Read article
-
Performance Analysis of Speech Performance Analysis of Speech Recognition using Advanced Algorithm
Abstract: In this paper, the authors have worked on a speech processing technique wherein they took audio speech as input signal from user and by recognition process, they perceived recorded word. Specifically, the authors concentrated on the amplitude and zero cross of speech signal, and two of the most important and useful terms, namely MFCC and Mahalanobis distance, for the purpose of getting an efficient outcome. The authors evaluated the proposed …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 20–25 Read article
-
The AI Revolution: Transforming Business Decision-Making
Abstract: Industries undergo a transformation thanks to artificial intelligence, which makes machines capable of activities that previously required human intelligence. This interdisciplinary field of computer science models human thought processes, impacting sectors from autonomous vehicles to creative AI tools. Integrating AI into business operations transforms decision-making and enhances corporate performance. AI-driven methodologies analyze vast datasets to provide valuable insights and facilitate decisions beyond human capability. Predictive modeling anticipates consumer behavior, market …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 25–32 Read article
-
The Rise of Fractional Calculus: Novel Applications in Engineering and Biological Systems
Abstract: Fractional calculus (FC) is an advanced mathematical framework that generalizes the classical concepts of differentiation and integration to non-integer, or fractional, orders. This extension of traditional calculus allows for the modeling of complex dynamic systems that exhibit behavior not easily captured by integer-order differential equations. Over the last few decades, fractional calculus has seen a rapid rise in popularity, particularly in applied mathematics, engineering, and biological sciences, due to its …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 7–11 Read article
-
Social Marketing in Public Health
Abstract: Social marketing in public health is application of commercial marketing concepts, tools, resources, skills and technologies to encourage socially beneficial behavior especially among poorly or inadequately served segments of the population. It can be product- or behavior-focused. It mainly aims at changing one’s behavior to promote health and prevent diseases for benefit of individual and society as a whole. Triad of social marketing comprises of behavioral goals, segmentation and marketing …
Published in Research and Reviews: A Journal of Health Professions · Vol. 2, Issue 1, 2012 · pp. 17–27 Read article
-
Mindwell: A Psychological Guide for Well-being
Abstract: Mental health is a crucial aspect of overall well-being, yet access to professional therapy remains a significant challenge for many individuals due to various barriers, including cost, availability, and stigma. This research aims to develop an accessible and effective mental health therapy chatbot, named Mindwell Psychology, leveraging the power of large language models (LLMs) and state-of-the-art natural language processing techniques. The primary objective of this study is to create a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 63–77 Read article
-
Development of Entrepreneurship: A Case Study of Cooperative Cashew Processing Unit
Abstract: This study is explores that small and poor cashew farmers get benefit of business enterprises by forming cooperative cashew processing unit. This entrepreneurial process brings positive changes in local place. It focused on all entrepreneurship development and training activities of this unit. World Bank and IMF have considered cashew-nut industry as one of the poverty eradication tools at global level. It shows relevance of cashew-nut industry at global platform and …
Published in Journal of Production Research & Management · Vol. 5, Issue 2, 2015 · pp. 24–33 Read article
-
Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: Abstract This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT-based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 1–5 Read article
-
Forms of Work in Interactive Teaching of Mathematics
Abstract: In accordance with modern teaching methods mathematics, the degree of interactivity of teaching/learning is a basic criterion the quality of the basic mathematics education process. Methodical approach to interactive continues, for each class separately, contains original methodological frameworks with models of interactive processing of all teaching units. Interactive teaching is a social process, learning as an interaction between students and teachers, students, students and parents, peers. The result of this …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 2, 2021 · pp. 14–22 Read article
-
Design and Simulation of Discrete Time Optimal Speed Control for an Induction Motor Taking Core Loss and Stray Load Losses into Account
Abstract: Generally, the core loss and stray load loss are neglected in the mathematical model of induction motor (IM) to design the decoupling torque and flux control strategy. In order to precisely control the torque and flux, core loss and stray load loss, which are generally neglected, should be considered in the mathematical model of IM to design the controller. Some of literatures have shown how the detuning can be done …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 3, 2014 · pp. 46–56 Read article
-
PREDICTIVE MODEL TO MONITOR THE TRANSPORT OF URANIUM IN UNCONSOLIDATED PREDOMINANT LATERITIC SOIL FORMATION
Abstract: This paper express the rare of uranium transport in predominant lateritic soil formation, the formation were observed to be unconsolidated in the study environment thus deposit high uranium substance in the area, their migration were influenced by manmade and natural origin activities, but the soil experiences migration rate in linear and fluctuation phase in there transport process, the study explain the rate of pressure from void ratio and it low …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 1, 2019 · pp. 31–39 Read article
-
Implementation of Fully Homomorphic Encryption as a Cloud Security Solution
Abstract: The breathtaking development in cloud computing has proved to be a promising innovation and best solution for storing data and applications remotely. Confidentiality of data increases the security concerns and limits the usage of cloud services. The traditional security approach of encryption does not make cloud computing fully secure. Therefore cloud computing security is the predominating research topic. Fully homomorphic encryption is fully fit for processing data in an encrypted …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 26–29 Read article
-
Microstructural Design and Functional Properties of Polycrystalline Materials
Abstract: Polycrystalline materials, composed of an aggregate of crystallites or grains, are foundational to modern engineering applications due to their versatile functional properties. The microstructural design—encompassing grain size, shape, orientation, phase distribution, and grain boundary characteristics—plays a pivotal role in determining mechanical, thermal, electrical, and magnetic behavior. This abstract explores the intricate relationship between microstructure and functionality, emphasizing how tailored processing techniques such as thermomechanical treatments, sintering, and additive manufacturing can …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 16–20 Read article