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48 articles for “Hybrid Variety”
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Examining the Benefits of Hybrid Solar Systems for the Production of Sustainable Energy
Abstract: A state-of-the-art energy solution, the hybrid solar system combines solar photovoltaic (PV) panels and solar thermal collectors to provide an effective and flexible method of capturing solar energy. The hybrid solar system maximises the use of sunshine to produce energy and heat concurrently by integrating two technologies. While solar thermal collectors catch solar heat energy and transform it into useful thermal energy for a variety of purposes, solar PV panels …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 7–13 Read article
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Fracture Characterization of Glass-Sheep Wool Fabric Reinforced Epoxy Hybrid Composite using Stacking Sequence
Abstract: AbstractFibre-reinforced composites are advance market share in structural applications, but further growth is restricted by their lack of toughness. Fibre hybridization is a hopeful approach to toughen composite materials. By combining two or more fibre types, these hybrid composites offer a better balance in mechanical properties than non-hybrid composites. The research and advancement in the area of natural fiber composites (NFC) are gaining more importance due to its eco-friendly, biodegradable, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 8, Issue 3, 2018 · pp. 8–14 Read article
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Enhancing Delamination Resistance in CFRP Composites through surface Functionalization of Woven carbon Fiber by CuO Nanostructures
Abstract: In order to produce a nanostructured interphase that improves the interfacial interaction with an epoxy resin matrix, copper oxide (CuO) nanostructures were hydrothermally formed onto woven carbon fibers (WCF). Hexagonal CuO nanorods were created using a two-step, seed-assisted solvothermal technique on plain woven carbon fiber. This study investigates the effects of surface modification of carbon fibers by the formation of CuO nanostructures using a hydrothermal technique on the mechanical properties …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 589–602 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Support Vector Machine Based Supervised Machine Learning Algorithm for Finding ROC and LDA Region
Abstract: Breast Cancer is one of the most dangerous forms of conditions in the world, according to the Breast Cancer Institute (BCI). Breast cancer is a leading cause of death for women. Several empirical studies have explored the use of machine and predictive systems for breast cancer. Breast cancer can be the major cause of women’s death. Many claim their algorithms are faster, easier or more precise, as according to cancer. …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 1, 2020 · pp. 26–33 Read article
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Design and Implementation of High-Speed Low Power Low Area Hybrid One Bit Full Adder Using CMOS Technology
Abstract: In this article, we'll take a look at a new kind of Full Adder (FA) design that mixes traditional Complementary Metal Oxide Semiconductors (CCMOS) with Pass Transistors (PTs) and Transmission Gates (TGs). To analyze the circuit's performance, we used the Mentor Graphics software package. Since all twenty (20) varieties of Full Adder circuits were able to be measured and compared, this research was conducted. When the clock rate of the …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 29–39 Read article
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Performance Analysis of GLARE Composites in Aerospace Engineering
Abstract: The fuel consumption of an aircraft is largely governed by its payload, which emphasizes the continuous demand for advanced lightweight structural materials to enhance the lift-to-weight ratio and improve overall fuel efficiency. Fiber Metal Laminates (FMLs) have emerged as a novel class of hybrid materials that combine alternating layers of thin metals with fiber-reinforced polymer composites, thereby offering mechanical properties superior to those of the individual constituents. Among the different …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 771–779 Read article
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Microstructural Characterisation and Analysis of Mechanical Behaviour of Hybrid AA 7075/7178 Fabricated Using Die Casting Technique
Abstract: AA are being increasingly used in the field of structural engineering owing to their desirable mechanical properties coupled with their recyclable and sustainable nature, thus contributing significantly towards reduction of carbon footprints and development of circular economy. Till date numerous research projects have been prompted to investigate the structural performance of aluminium alloy structures and develop alternatives with enhanced performance parameters. AA 7xxx (Al-Zn-Mg-Cu) are being widely used in variety …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 441–451 Read article
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Development of Electrochemical Discharge Machine for Machining Non-conductive Materials
Abstract: Electrochemical discharge machining (ECDM) is the hybrid machining process combination of electrodischarge machining and electrochemical machining process. ECDM is different machining process for micro-drilling and micro-grooving of variety of glasses, ceramics and composites. Electrochemical discharge machining also called as spark assisted chemical engraving (SACE). ECDM process is an effective and micro-machining process for non-conductive materials. It is used in micro-electromechanical system (MEMS) applications. ECDM parameters are material removing rate (MRR), …
Published in Trends in Machine design · Vol. 6, Issue 3, 2019 · pp. 18–22 Read article
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Pathogenesis, Treatment and Molecular Mechanisms for Development of Multidrug-resistant (MDR) TB as well as Identification of MDR Mycobacterium Tuberculosis
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Tuberculosis (TB) is a medical, social, and economic disaster of huge magnitude in the world. Prevalence of TB has increased due to poverty, population growth, migration and a high number of TB cases in HIV positive individuals. High prevalence rate of M. tuberculosis strains with multidrug resistance (MDR) is a serious problem as global emergency. Strains of M. tuberculosis resistant to both …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 3, Issue 1, 2013 · pp. 16–38 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Regenerative Endodontics: Nano 3D scaffolds as Dental Materials and Stem Cells for Dental Tissue Regeneration
Abstract: In dentistry, for maintaining any tissue in a healthy state, focus is on prevention, treatment and repair of the diseased tissue. Current treatments for diseases of tooth structures rely on the use of classical endodontic procedures which in some cases are limited success rate. The use of stem cells in regenerative therapies have been shown to have promising applications in various debilitating diseases like neurodegenerative disease, diabetes, cancer and dental …
Published in Trends in Drug Delivery · Vol. 1, Issue 2, 2014 · pp. 14–23 Read article
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Improvement of Crop Plants through in vitro Techniques
Abstract: There has been a great demand for high-yielding, disease-free planting stock for agricultural, forestry, plantation and horticulture crops with improved quality. In vitro tissue culture techniques has emerged as a viable tool for the improvement of crops. The various in vitro techniques utilized for crop improvement includes: micropropagation which helps in large scale production, meristem culture which can effectively remove pathogens from plants, embryo culture can overcome the post-zygotic failure …
Published in Research & Reviews : Journal of Botany · Vol. 11, Issue 2, 2022 · pp. 12–24 Read article
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3′,4′-Methylenedioxy Moiety Containing Murrayanine Based Chalcone as Emerging Anti-inflammatory Agent
Abstract: Natural products are the emerging compounds for treating a wide variety of ailments. In a recent trend, rational semi-synthesis remained an impressive approach for developing inhibitors with pronounced activity. 3′,4′-methylenedioxy have been found to be present in a variety of compounds expressing anti-mycobacterial, anti-inflammatory, anti-cancer, analgesic, anti-pyretic, etc. The present study focuses on the rational development of (E)-3-(benzo[d][1,3]dioxol-5-yl)-1-(1-methoxy-9H-carbazol-3-yl)prop-2-en-1-one from murrayanine and 3′,4′-(methylenedioxy)acetophenone and investigating the anti-inflammatory activity of the fabricated …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 9, Issue 1, 2018 · pp. 12–16 Read article
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Conventional and Molecular Breeding for Development of Drought Tolerant Maize Cultivars
Abstract: AbstractIn crop plants, possibility of attaining higher production level depends on the magnitude of genetic potential of germplasm and environmental conditions. Drought being the major abiotic stress, adversely affects the growth and development ultimately economic yield of maize crop in variety of ways. The precise knowledge of drought sensitive crop stages, drought tolerance imparting traits, screening techniques and breeding strategies are having the fundamental prerequisite for development of drought tolerant …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 4, Issue 1, 2015 · pp. 1–3 Read article
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Nanotechnology meet phytomedicine towards smarter drug delivery system.
Abstract: Using bioactive substances derived from plants, or phytomedicine, has long shown promise in treating a variety of illnesses with fewer adverse effects than synthetic medications. Nevertheless, a lot of phytochemicals have issues with inadequate targeting in vivo, low bioavailability, poor solubility, and chemical instability. By enabling encapsulation, controlled release, targeted delivery, and stimuli responsive behavior, nanotechnology provides effective tools to get around these restrictions. This review examines the intersection of …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 46–53 Read article
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Radio in the Age of AI
Abstract: Artificial intelligence (AI) is changing the traditional world of radio broadcasting very quickly. It is changing the way material is made, curated, shared, and listened to. This article talks about how AI technologies like machine learning, natural language processing, and automated voice synthesis can be used in radio production and operations. It looks at how AI-powered solutions may make listening more personalised, give real-time audience statistics, automatically generate news, and …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Experimental Study and Simulation on Microwave Drilling of Metals and Glasses
Abstract: Microwave heating is being developed to apply for a variety of engineering applications in the last few years due to some special advantages of using microwave. This paper presents a study on attempting microwave drilling of materials especially metals, as metal processing with microwave was a difficult task due to reflection of microwaves by metals at room temperature. A special fixture was developed to study the microwave drilling on metals …
Published in Journal of Experimental & Applied Mechanics · Vol. 5, Issue 1, 2014 · pp. 10–19 Read article
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Efficient Energy Management and Utilization Using IoT Enabled Intelligent System
Abstract: Energy is essential for economic development, and the demand for electricity is rising at an extraordinary pace. Currently, fossil fuels remain the main source of global power generation, but these resources are limited and detrimental to the environment. Therefore, there is an urgent need to broaden energy sources and transition towards cleaner, sustainable, and renewable options. This paper examines the potential of multi-source power generation and usage as a viable …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 38–45 Read article