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1974 articles for “system modeling”
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Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics
Abstract: Asthma is an inflammatory disorder of the respiratory tract that is chronic and heterogeneous in nature and has various effects on millions of people. Being a chronic inflammatory disease, asthma remains incurable and the major conventional treatments offer limited success due to the mask nature of its pathophysiology. Systems biology/(AI), and next-generation has greatly enhanced knowledge and the management of asthma. The approaches based on gene, transcript, protein, and metabolite …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–12 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Comparative Studies of Three MPPT Strategies for Solar PV System
Abstract: The solar power technology is one of the most predominant technologies that serve as a major source of power supply. But, its initial cost is too high and its lesser efficiency has not made its use very attractive as an alternate. Hence, it is quite critical to use maximum power available from the solar PV panel and operate it at its highest energy conversion output. For this, the solar PV …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 3, 2016 · pp. 24–34 Read article
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Recent Trends in Automobile Engineering Self Driving/ Autonomous Cars
Abstract: Cars have become increasingly safe and convenient since the rise of the commercial automobile industry in late 1980s. Recently car makers have begun to introduce advance driver-assistance systems such as adaptive cruise control (which automates accelerating and braking) and active lane assist (which automates steering). Researches in autonomous cars has progressed remarkably over the years and it has been found that these systems are capable enough that the new vehicles …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 1, 2020 · pp. 6–10 Read article
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Comparison of Conventional RCC Columns, Steel Columns and Composite Columns
Abstract: Worldwide, the steel industry is expanding almost everywhere. Compared to the USA, EU, and other developed nations, India uses less steel in the construction industry. Additionally, India's cities have some of the highest population densities per square kilometre, which limits horizontal construction growth and favours vertical development. Steel structures are more ductility and can undergo more deflections while concrete structures are larger and attracts more seismic weight. Hybrid construction combines …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 3, 2023 · pp. 35–44 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Shape-Memory Polymer Systems in Custom-Fit Prosthetic and Orthotic Design
Abstract: SMP systems have now become important materials in constructions of custom-made prosthetic and orthotic devices. They can back and forth change shape based on heat, humidity or light. The capability allows physicians and patients to shape the devices quickly and change them in real time which is not possible with ordinary plastics. Antinomy, comfort is vital and distribution of forces changes continuously in the rehabilitation engineering. The solution to these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 254–263 Read article
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Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 Read article
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Impact of E-Learning on Secondary Education in Patna District: The Role of Teachers in Supporting Higher Secondary Students during the COVID-19 Crisis
Abstract: This study assesses the impact of e-learning on secondary education in the Patna district during the unprecedented COVID-19 crisis, focusing on the vital role of teachers in supporting higher secondary students. Utilizing a quantitative survey design with a sample of 150 higher secondary teachers from various schools in Patna, the research identifies both the benefits and significant challenges of the rapid transition to digital education. The findings confirm a major …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 28–32 Read article
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Wind Forecasting Using Various Neural Networks in Machine Learning
Abstract: Wind Power Forecasting, as the name applies is a process in which data of past is used to tell what kind of output can be expected from a wind turbine in the foreseeable future. Machine learning, can be said to be a derivation of artificial intelligence that makes it possible for the system to learn automatically and improve upon itself from faults, without needing to tell the system to do …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 32–43 Read article
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Investigating the Dynamics of Quantum Plasmas: Current Advancements and Prospective Trajectories
Abstract: Plasma is regarded as quantum if its macroscopic properties are significantly affected by the quantum nature of its constituent particles. A proper description is necessary to comprehend the importance of collective quantum plasma effects. In this entry, the field of quantum plasmas, a generic exotic state of highly ionized matter where quantum effects are relevant, is discussed, for example, by dense plasmas arising from strong laser irradiation of solid targets …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 · pp. 22–34 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Zebrafish in Drug Research: Decoding Biological Mechanisms and Finding Novel Therapeutic Targets
Abstract: The zebrafish, scientifically known as Danio rerio, is a powerful model organism in biological research because of its favorable traits, which include rapid development, genetic tractability, and transparent embryos. Zebrafish were first identified for their use in studies of vertebrate development, but they have since spread to a variety of disciplines, such as pharmacology, clinical research as a disease model, and most notably, drug development. Zebrafish have emerged as a …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 · pp. 1–8 Read article
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Blockchain-Enabled Secure Wireless Communication IoT Networks
Abstract: Cloud-native environments with their distributed environments and transient workloads raise the intrinsic problem of traditional intrusion detection and response systems to unprecedented levels. Modern cloud platforms have rapid elasticity, microservice orientation, and dynamic scaling, which usually exceed the range of centralized security services, contributing to the problem of slower threat detection and a poor ability to contain the threat. The proliferation of the Internet of Things (IoT) gadgets across different …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 10–14 Read article
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Hand Gesture Recognition
Abstract: The goal of this research is to detect and recognize hand motions. Photographs of hand gestures are captured using a camera and compared to images in the database; all images are divided in testing and training data set and converted into train. Record and test. record. This. records file trained in TensorFlow Mobile Net pre trained model. Loading of this model using karas gives us the best match of video …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 7–15 Read article
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Spectral Signatures to Achieve Accuracy
Abstract: AbstractSignature of spectrum is data convert appearances those to make for least accuracy variation by generalization and extension in place of expansion. Pixel form has subjected to change from multi-spectra issued to hyperspectral formation after issue of spectroscopic forms. Spectral signatures perform have scaled to measure from agronomy to metallurgical element detecting prosecution. Optimism appeared in species differentiation between coconut and palm oil plantation. Updating forms from spectroscopic hyper-spectra have …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 3, 2019 · pp. 26–31 Read article
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Hybrid Intelligent Controllers for Highly Accurate Trajectory Tracking of Manipulator
Abstract: Due to the lack of accurate knowledge of robotic manipulator model, the highly precise trajectory tracking cannot be obtained. Moreover in these modern times, multiple design control objectives cannot be met by single controller, hence; there is a need for having two or more controllers at a time. Hence, more powerful and effective systems can be made by combining these intelligent controllers. In this regard, evolutionary optimized advance intelligent controller …
Published in Trends in Electrical Engineering · Vol. 7, Issue 3, 2017 · pp. 17–30 Read article
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A Critical Review on Concept of Aging in Unani Tib
Abstract: With better advances in the field of medicine, life expectancy has increased in India. It is expected to increase to 65 years in 2015, which means more burden on the existing health care system of the country. Unfortunately, in our country elderly care is hospital-based with little attention on community-based, day care center-based or home-based care. With rapidly changing scenario of aging population, we should find the right model for …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 1, Issue 2, 2014 · pp. 32–35 Read article
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Physics of Semiconductors and Electronic Circuits
Abstract: This study talks about the basic ideas behind semiconductor physics and how important they are for making and running modern electronic circuits. It starts with a look at intrinsic and extrinsic semiconductors, going into how charge carriers move, energy band theory, and how doping affects how well the electricity flows. Next, the conversation turns to semiconductor devices like diodes, bipolar junction transistors (BJTs), and field-effect transistors (FETs). The focus is …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 9–17 Read article
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Thermoelectric Waste Heat Recovery from Industrial Exhaust Systems Using Nanostructured Hybrid Heat Exchangers
Abstract: The efficient utilization of industrial waste heat has become a critical strategy for improving energy efficiency, reducing fossil fuel consumption, and minimizing greenhouse gas emissions in modern manufacturing sectors. This study proposes a thermoelectric waste heat recovery (TWHR) system integrated with a nanostructured hybrid heat exchanger to enhance heat transfer performance and maximize electrical power generation from high-temperature industrial exhaust streams. The proposed system employs nanostructured surface modifications combined with …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 2, 2026 Read article