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579 articles for “Novel methods”
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Evaluating TRIZ Methodology in the Conceptual Design Phase of Industrial Products
Abstract: The Theory of Inventive Problem Solving (TRIZ) has emerged as a powerful systematic innovation methodology that enhances creativity and problem-solving efficiency in engineering design. This paper evaluates the application of TRIZ during the conceptual design phase of industrial products, where early-stage decisions critically influence functionality, cost, sustainability, and market competitiveness. TRIZ provides designers with structured tools—such as the 40 Inventive Principles, Contradiction Matrix, Su-Field Analysis, and Trends of Technological Evolution—that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 27–32 Read article
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Mitigation of Peak to Average Power Ratio in Orthogonal Frequency Division Multiplexing through SOP-PTS
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a popular multicarrier modulation technology extensively employed in 4G wireless communication systems to transmit data over a dispersive channel. To address the Peak-to-Average Power Ratio (PAPR) issue in OFDM, a technique called Partial Transmit Sequence (PTS) is commonly utilized. The PTS method involves dividing the data block into non-overlapping sub-blocks and then combining them using phase factors to mitigate PAPR. However, the conventional PTS …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 32–39 Read article
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Integrating Network Pharmacology and Molecular Docking to Assess Rutin’s Pharmacological Properties
Abstract: Objectives: In the present research, the network pharmacology process was applied to determine the underlying mechanism of the pharmacological properties of Rutin. Network pharmacology was utilized to reveal the interactions between medications and the targets of illnesses, and it is capable of completely articulating the complexity between diseases and medications. The identification of diverse drug-target interactions using network pharmacology may be utilized to discover novel medications for difficult conditions like …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 20–33 Read article
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
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Behaviors–Observations–Beliefs Model for Enhancement Using Cognitive Reasoning
Abstract: A unified trust management scheme that enhances the security in MANETs using uncertain reasoning, in the existing scheme, the trust model has two components: trust from direct observation and trust from indirect observation. With direct observation from an observer node, the trust value is derived using Bayesian inference, which is a type of uncertain reasoning when the full probability model can be defined. On the other hand, with indirect observation …
Published in Journal of Open Source Developments · Vol. 3, Issue 1, 2016 · pp. 10–18 Read article
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1,2,3,4-Tetrahydroquinoline: A Versatile Nucleus in the New Millennium
Abstract: Tetrahydroquinoline nucleus containing molecules are well known for their presence in natural products mainly in alkaloids, which constitute the active class of compounds possessing wide spectrum of biological activities. Tetrahydroquinoline skeleton is often used for the design of several synthetic compounds with diverse pharmacological properties. An immense wide range of pharmacological utility of such nucleus has inspired many synthetic and medicinal chemists to develop novel strategies for their synthesis, which …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 3, Issue 1, 2016 · pp. 1–18 Read article
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Face Aging Using Generative Adversarial Network
Abstract: This project addresses the challenge of predicting how a person may look in the future or how they appeared in the past using a single photograph. While existing methods mainly focus on altering texture, they often neglect changes in head shape that naturally occur during the aging process, limiting their effectiveness, especially when applied to images of children. To tackle this issue, a novel approach is introduced that employs a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 41–52 Read article
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Review Article on Biomedical Lubricant Hydrogels as Cartilage Substitutes
Abstract: This article underscores the increasing popularity of hydrogel lubricants in the biomedical domain and presents a comprehensive exploration of their potential as substitutes for cartilage. This understanding forms the foundation for the development of hydrogel-based lubricants that are designed to emulate these natural functionalities. Providing detailed insights, this article navigates through cutting-edge bio-inspired architecture techniques tailored to create hydrogels for cartilage. The emphasis is on achieving superior strength through diverse …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 · pp. 35–48 Read article
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A Novel Efficient VLSI Architecture for Matrix Multiplication using Compressor-based Multiplier
Abstract: Due to advancement of new technology in the field of VLSI, there is an increasing demand of high speed processor. Matrix multiplication is highly used in different types of computations. Speed of processor greatly depends on its multiplier (used in matrix multiplication) performance. Due to which high speed multiplier architecture become important. Several multiplication techniques have been developed to increase the efficiency of the multiplier. These techniques help in reducing …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 2, 2015 · pp. 23–28 Read article
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A Novel Approach for Extraction of Polyphenols
Abstract: Polyphenols are class of compounds which are found in fruits, vegetables, walnuts, olives, tea leaves and many more. Polyphenols are antioxidant phyto-chemicals that prevent or neutralize the damaging effects of free radicals. They are secondary metabolites of plants and are generally involved in defence against ultra-violet radiation or aggression against pathogens. Polyphenols are various alcoholic compounds containing two or more benzene rings that each has at least one hydroxyl group …
Published in Emerging Trends in Chemical Engineering · Vol. 1, Issue 1, 2014 · pp. 31–36 Read article
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Binary Shape Segmentation and Classification using Coordination Number (CN)*
Abstract: We proposed a novel, micro-structures, shape-preserving local descriptor for contour-segmentation- based binary object classification and recognition, named local coordination number count (LCNC). In this method, we formulate the problem by estimating the 8-neighbourof each binary object pixel. In the matching stage, we used Euclidean distance between eigenvalues corresponding to correlation coefficient and the dynamic programming to find out the optimal correspondence between boundary smoothness of two shapes. Experimental results obtained …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 22–30 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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Novel Poly (Methyl Cellulose-G-Acrylamide)/Sodium Alginate Based Zeolite 4A Filled Mixed Matrix Membranes for The Separation of Water-Isopropyl Alcohol Mixtures by Pervaporation
Abstract: The Filled blend matrix membranes of (Methyl Cellulose-g-Acryl amide)/Sodium Alginate {(MC-g-AAm)/NaAlg} prepared via solution casting method by in situ incorporation with 4A zeolite particles in 5, 10 and 15 mass % with respect to the weight of (MC-g-AAm)/NaAlg membrane. Several analytical tools such as scanning electron microscope (SEM), atomic force microscope (AFM), Fourier transform infrared spectroscopy (FTIR), X-ray powder diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and thermo-gravimetric analysis (TGA) were …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 131–152 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article
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An Optimize Formulation to Synthesis of size Controlled Hydrophobic Starch Acetate Nanoparticles using Box- Behnken Design
Abstract: The best way to improve the overall performance of native starch is by chemical modification. In recent years, hydrophobically modified starch has attracted considerable attention for the design and manufacture of novel nanoparticulate drug delivery carriers. The purpose of this research was to synthesize hydrophobic starch nanoparticles (NPs) and to optimize process factors through the use of response surface methodology (RSM). The corn starch acetate (CSA) NPs was synthesized using …
Published in Journal of Polymer & Composites · Vol. 10, Issue 4, 2022 · pp. 32–54 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Application of Fruit and Vegetables Peels as Functional Ingredients in Baked Cookies: A review
Abstract: About half of the waste produced by industrial fruit and vegetable manufacture is in the form of peels, cores, pomace, and unripe or damaged fruits and vegetables. Many fruits and vegetables, including citrus, apples, peaches, pears, bananas, pomegranates, berries, mangoes, and sugar beet, have peels, pulp/pomace, and seeds that contain concentrations of phenolics and other phytochemicals that are typically much higher than in the edible tissues of those fruits and …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 11–19 Read article
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Plant-Derived Vaccines: A Sustainable Approach to Disease Control for Global Health
Abstract: Plant-based vaccines present a novel and environmentally responsible approach to vaccination, with significant potential for improving both human and animal health. These vaccines are safer and less expensive than traditional vaccine manufacturing methods because they use genetically modified plants to create antigens that elicit an immune response. Plant-based systems offer a potential remedy for traditional vaccines' high production costs and environmental impact, which are growing problems. Plant-derived vaccines have shown …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 17–20 Read article
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In-silico screening of phytochemicals for identification of an alternative therapy for thyroid cancer
Abstract: Thyroid cancer remains a significant health concern globally, necessitating the exploration of novel therapeutic alternatives to improve treatment outcomes. This study targets COT kinase (Cancer Osaka Thyroid Kinase), a protein implicated in the progression of thyroid cancer, using molecular docking methods with various phytochemicals to identify potential therapeutic compounds. PyRx and Discovery Studio were employed to evaluate the interactions and binding affinities of a diverse set of natural compounds with …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 31–55 Read article
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Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique
Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 7–12 Read article