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217 articles for “Progressive Analysis”
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Charting the Path Forward: An In-Depth Analysis of Breakthroughs and Hurdles in Artificial Intelligence
Abstract: Recent years have witnessed tremendous progress in artificial intelligence (AI), fueled by exponential increases in processing power and data accessibility. These developments have made it possible for AI to be widely used in a variety of industries, such as healthcare, finance, autonomous driving, and more. Significant difficulties are presented by the "black-box" nature of many AI systems, which lack transparency and the capacity to explain. By encouraging algorithms that can …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 13–23 Read article
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Design Optimization of Microstrip Antenna with EBG and DGS Using the Genetic Algorithm to Reduce the Mutual Coupling
Abstract: The purpose of this paper is to construct, create, and reproduction of different antenna structures using electromagnetic band gap (EBG) materials and defected ground structures (DGS). Microstrip antennas are processed in order to improve performance by changing the shape of the geometry of the antenna, in particular to reduce the mutual coupling between the elements. The propagation of electromagnetic waves in a specified frequency range have the unique ability to …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 1, 2016 · pp. 11–30 Read article
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Performance Analysis of a Naval Reactor for Nuclear Powered Ship
Abstract: AbstractNuclear power-driven ships are becoming progressively more popular in advancing ship technology. Nuclear ships use naval reactors, which have lower fuel costs and last for many years and have almost zero emissions. The working of a Nuclear Ship is derived from the simple nuclear fission reaction. One more important factor that has spurred on the continuous investigates of nuclear power generation within ships is the irregular cost of flammable fuels. …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 1–6 Read article
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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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A Comprehensive Analysis of Alzheimer’s Disease
Abstract: Alzheimer's disease, the most prevalent form of dementia, is a progressive neurological disorder characterized by cognitive decline, particularly in memory function. The condition manifests in two primary forms: familial Alzheimer’s disease, affecting individuals under the age of 65 years, and sporadic Alzheimer’s disease, which constitutes the majority of cases and primarily afflicts adults aged 65 years and older. The prevalence of Alzheimer’s disease is influenced by various factors, such as …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 2, 2023 Read article
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Contemplation of Coal Bed Methane in Petroleum Industry
Abstract: The hunger for energy has been on its peak since industrialization. The human race has been trying all hook and crook in order to discover new sources of energy. In today’s world, a minor portion of the energy requirement basket is being filled up by unconventional non-hydrocarbon resources but still the majority of it is filled by unconventional and conventional hydrocarbon resources. The conventional hydrocarbon resources are oil and natural …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 23–26 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Seismic Risk Assessment of Soft-Story Buildings Using a Pushover Analysis Approach
Abstract: In urban India, reinforced concrete buildings with open ground stories designed for parking purposes are quite prevalent. These soft-story structures have faced severe damage and even total collapse during significant earthquakes in various regions, including the 1999 Taiwan earthquake, the 1999 Turkey earthquake, the 2003 Algeria earthquake, and the 2001 Bhuj earthquake, where approximately 1,500 medium-rise open ground-story buildings demonstrated extreme vulnerability. Given this vulnerability, the primary objective of this …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 20–35 Read article
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Juncture of Nanotechnology and IoT: Novel Era of Connectivity
Abstract: The rapid development of Internet of Things(IoT) has had a profound impact on a variety of industries, enabling unprecedented levels of connectivity and data interchange between devices. Through the introduction of nanotechnology into IoT systems, there are unique prospects to improve performance, decrease energy consumption, and miniaturise components, which ultimately overlays the method for the progress of smart gadgets of the next generation. Through an analysis of significant developments in …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Effect of Carbonyl Iron Particle Concentration on The Printability and Stiffness of Magnetorheological Elastomer Filaments
Abstract: Magnetorheological elastomer (MRE) are increasingly valued for their field-responsive mechanical properties, making them ideal for adaptive components in automotive, aerospace, and vibration control systems. However, conventional mould-based fabrication methods limit design flexibility, produce excess material waste, and are unsuitable for complex or customized geometries caused challenges that have hindered broader industrial adoption. Although 3D printing offers a compelling alternative, research on printable MRE filaments remains limited, particularly regarding how carbonyl …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 310–317 Read article
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Integrative Network Biology Analysis of GSE6011 Uncovers Molecular Signatures in Duchenne Muscular Dystrophy
Abstract: Duchenne muscular dystrophy (DMD) is a rare, severe neuromuscular disorder demonstrated by progressive skeletal muscle deterioration and premature mortality. Despite advances in supportive care, no definitive cure exists, highlighting the need to explore novel molecular targets. The current study aimed to uncover key dysregulated genes and molecular pathways in DMD through a dataset-specific network biology approach. Publicly available microarray data (GSE6011) from DMD quadriceps muscle biopsies of 22 patients and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 36–48 Read article
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Thermal Stress Analysis of Neck Tube into Vertical Cryogenic Insulated Cylinders using ANSYS Software: A Review
Abstract: Materials have a significant impact on the progress of one discipline, cryogenics. Technologies based on cryogenics are used in many different fields, including metallurgy, chemistry, the electricity sector, medicine, rocket propulsion, space simulation, food processing via refrigeration, and many more. The current status of research and anticipated advancements in the field of cryogenic materials throughout the coming century cover a wide range of topics. We quickly review the background of …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 26–30 Read article
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Thermal Engineering: Principles, Evolution, and Comparative Analysis with Classical Approaches
Abstract: Thermal engineering is the study of heat transfer, thermodynamics and energy conversion systems. However, through the years it has progressed from classical theories, which relied on empirical correlations, to enhanced computed and nanotechnology based approaches. This paper highlights the principles of thermal engineering, its important systems and latest developments of thermal engineering and provides extensive comparisons between the classical (traditional) methods and the most recent developments or innovations such as …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 2, 2026 Read article
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In Silico Analysis and Docking Study of the Active Phyto Compounds of Ginkgo Biloba Against Alzheimer's Amyloid-Beta Protein
Abstract: Objective: Alzheimer's disease, an age-related progressive neurological condition, arises due to the accumulation of amyloid-beta protein within the brain. In this study, an attempt was made to explore the potential of natural compounds derived from Ginkgo, known for their diverse medicinal properties, in the prevention of the disorder by employing molecular docking techniques, conducting drug-likeness prediction assessments, and performing ADME analysis. Methods: Amyloid beta protein was retrieved from the PDB …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 Read article
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Advances in Multiclass Oral Cancer Detection Using Spectroscopic and AI Techniques
Abstract: Oral cancer, primarily OSCC, is still a major health issue worldwide, especially in low-HDI countries. Early diagnosis is essential since survival rates for early detection are much higher than for late-stage detection. However, traditional methods like visual inspection and biopsy are time-consuming, invasive, and rely on the clinician's skill, which is a limitation in accessibility and efficiency. Oral cancer detection has just been revolutionized by recent advances in spectroscopic techniques, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 39–48 Read article
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Assessing the impact of lifestyle factors on autoimmune risk and survival outcomes: A Population-based Study
Abstract: This study investigated the interplay between lifestyle factors and genetic regulation in autoimmune diseases, focusing on the role of human T-cell metabolic and proliferative control through C-REL gene transcription. This study combined CRISPR-Cas9 manipulation of C-REL in human T-cells with a longitudinal cohort of 100 adults (autoimmune patients and controls), investigating metabolic and proliferation dynamics via flow cytometry and assays. It assessed lifestyle impacts through surveys and medical records, ensuring …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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Chemical Patents and Filing Practices in India: Trends, Processes, and Legal Framework
Abstract: India, recognized as the fifth-largest global economy, holds the 7th position in the chemical sector and ranks 11th in chemical and petrochemical exports worldwide. Despite this significant standing, the country witnesses comparatively fewer patent applications in this domain. The global chemical and petrochemical industry, although complex in nature, serves as a critical element of economic development and supply chain operations. This paper explores the interconnectedness of innovation, patents, and chemical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 163–171 Read article
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Alzheimer Detection Using MRI Imaging Modality
Abstract: Alzheimer’s disease (AD) is a neurological disease that affects memory and livelihood of the people that are diagnosed with it. Many different imaging modalities have been used to help diagnose the disease. Each of these modalities offers something different towards the detection and possible treatments for AD. In this project, we developed a new approach based on mathematical and image processing techniques for better classification of AD. We proposed to …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 11–17 Read article
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Micro-cantilever Sensors for Efficient Gas Sensing
Abstract: AbstractMicro-cantilever has been progressively used for the development of miniaturized sensors for gas sensing, biochemical analysis, medical applications and quality and process control. Micro-cantilevers are fabricated with rectangular silicon slabs having thickness below 1 µm. For gas sensing applications, Si cantilever surface is modified with appropriate sensing materials for selective adsorption of gas/vapor or biomolecules. The bending of the cantilever due to different surface conditions is measured with laser beam …
Published in Journal of Semiconductor Devices and Circuits · Vol. 6, Issue 3, 2019 · pp. 16–24 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article