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1751 articles for “DEC” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Implication of Topological Quantum Field Theory for the Integrable Structure of Nuclei Pertaining to Anisotropic Nuclear Decay
Abstract: In the present paper, the basic rules of AdS theory have been lent in order to comprehend the composite structure of the cosmic nuclei. Super Yang–Mills theory indirectly gives us an idea of nuclear decay as a result of change in the topology of the nuclear structure. The variation in topology changes the viscosity of the cosmic nuclei. Finally, using Sakai–Sugimoto model the nuclear decay is shown as a result …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 40–43 Read article
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Deconvolution of X-ray Diffraction Spectrum of Polypropylene
Abstract: Deconvolution methods have been used to evaluate degree of crystallinity and particle size from diffractogram of polypropylene(PP). The deconvolution method is used to separate the various peaks from the total XRD spectrum and it is successful in separating the crystalline, amorphous and background regions of a diffractogram. The degree of crystallinity of PP is calculated to be 49%. The particle size of crystallites in different crystalline phase is calculated using …
Published in Research & Reviews : Journal of Physics · Vol. 2, Issue 3, 2013 · pp. 1–4 Read article
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Design of Decoder Using Domino Logic Circuit for VLSI
Abstract: Dissipation of power from a circuit is the major issue in the design of any VLSI circuit, which decreases the life span of a device/system. NMOS and PMOS circuits are very slow while switching the state from low to high. The speed of the circuit can be increased by decreasing resistance. This process in turn increases the static power dissipation. So, because of these disadvantages, CMOS circuits are used in …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 4, 2022 · pp. 42–54 Read article
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A Fuzzy Integrated Web-based Quality Function Deployment Application:A Conceptual Analysis
Abstract: The 'voice of customers' drives the Quality Function Deployment (QFD) process, which is a customer-focusedproduct development method. Making decisions is a critical component of the QFD process. Although QFD aids decision-making, its subjectivity results in ambiguity and uncertainty, resulting in less accurate and consistent findings. Fuzzy ideas must be incorporated to deal with the ambiguity and uncertainty inherent in the QFD process. This will result in better decision-making. Businesses can …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 4, 2023 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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Blockchain Infused Decentralized Land Registry System
Abstract: Accurate land measurement and documentation of land ownership and use are critical for effective land administration and management. However, traditional land measurement systems are often inefficient, inaccurate, and lack transparency, which can lead to disputes, fraud, and corruption. To address these issues, we propose a smart contract-based land measurement system that provides a secure, transparent, and efficient way to measure and document land ownership. Our system utilizes smart contracts, which …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 11–19 Read article
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The Relevance of Green University Concept on Students’ Enrollment Decision for Higher Education: The Role of Circular and Green Polymer Science
Abstract: Students today increasingly evaluate the commitment of higher education institutions to sustainability and environmental stewardship when making enrollment decisions. As prospective students research colleges and universities, they meticulously assess each institution's environmental policies, initiatives, and programs. This focus on sustainability reflects a broader trend of rising environmental awareness among young people, who often prioritize their values in their educational choices. The present study uniquely examines how the concept of a …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 47–53 Read article
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The Role of Generative AI in Enhancing Administrative Efficiency: Innovations in Workforce Support Systems
Abstract: Generating AI is the primary form of artificial intelligence that disrupts administrative work across multiple industries by redesigning and promoting the automation of traditional tasks and improving the workforce efficiency of decision-making. In a conventional setting, executive positions have been equally associated with paper-bound responsibilities, common with tedious activities like appointment making, filing, data input, etc. However, improvement in the area of generative AI makes these natural functions assignable, thus …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 47–68 Read article
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Two Decades of Research at the University of Lagos (2004-2023): A Scientometric Analysis of Productivity, Collaboration, and Impact
Abstract: This paper presents a scientometric analysis of research output from the University of Lagos, focusing on the two decades spanning 2004 to 2023. Using bibliometric data retrieved from the Web of Science, we examine trends in publication volume, collaboration patterns, citation impact, and the most prolific authors, departments, and research domains at the university. The study reveals a consistent increase in research productivity, with the highest publication output recorded in …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 21–37 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Strategic Optimization of CNC Machining in Production Systems: A Managerial Review of Methods, Metrics, and Industry 4.0 Integration
Abstract: Computer numerical control (CNC) machining has significantly influenced modern production systems by enabling higher efficiency, quality, and sustainability. As industrial operations strive for leaner production and strategic competitiveness, optimization of machining parameters—including cutting speed, feed rate, depth of cut, and tool path strategies—has emerged as a cornerstone of production planning. This review evaluates the optimization methodologies developed from 2015 to 2025, spanning traditional mathematical models to artificial intelligence (AI)-driven metaheuristic …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 25–30 Read article
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Integrating Digital Twins, Smart Materials, and Human Machine Collaboration for Sustainable Smart Manufacturing: Smart CNC & Industry 4.0 Applications
Abstract: The rapid evolution of Industry 4.0 and the emerging transition toward Industry 5.0 have been catalyzed by the convergence of intelligent digital technologies such as digital twins, cyber–physical systems (CPS), artificial intelligence (AI), the Internet of Things (IoT), and human-in-the-loop (HITL) frameworks. These technologies have transformed traditional manufacturing into adaptive, data-centric ecosystems capable of real-time optimization and predictive decision-making. In recent years, the fusion of computer numerical control (CNC) machines, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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Lung Function Decline Among Brick Kiln Workers in Haryana Due to Chronic Particulate Matter Exposure
Abstract: In Haryana, India, brick kiln workers are subjected to high levels of Particulate Matter (PM) which has been shown to deteriorate respiratory health. This study looks into the effect sustained exposure to particulate pollution has on lung function among workers in the brick kilns. The objective of the study was to assess the impact of chronic exposure to particulate matter on lung function among brick kiln workers in Haryana. A …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 11–16 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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A Novel Symmetric Anchor Scoring (SAS) Method for Industrial Location Selection: Application to Electric Vehicle Manufacturing in Tamil Nadu, India
Abstract: This work highlights the city-level detail of decision-making enabled by a new MCDM method Symmetry Anchor Scoring (SAS). Generally conventional methods are good at selecting one best and one worst alternative, but not differentiating among the many strong contenders more likely in practice. Linking MCDM methods to the tradition of decision making, the paper discusses the mathematics and analogical basis of SAS design, provides a visual proof of its ideal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 8–19 Read article
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Extracellular Vesicle-Based Liquid Biopsies: Decoding the Tumor Microenvironment for Precision Oncology
Abstract: The tumor microenvironment (TME) plays a pivotal role in cancer initiation, progression, and therapeutic response. Decoding the TME is, therefore, essential for advancing precision oncology. Extracellular vesicles (EVs), including exosomes and microvesicles, are nanoscale lipid bilayer particles secreted by tumor and stromal cells. They transport a wide range of bioactive molecules, such as DNA, RNA, proteins, lipids, and metabolites, which reflect the dynamic state of the TME. Recent advances in …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 43–62 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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FPGA Implementation of Reed Solomon Encoder and Decoder
Abstract: Abstract: Forward Error Correcting (FEC) is a technique employed to enhance data security & reliability. An efficient coding technique is essential to ensure data security. Reed Solomon Codes are widely used to provide error correction capability against burst error. This paper presents the design & FPGA implementation of RS (7, 3) codes. The design is entirely parameterized and can be scaled readily for a wide range of a number of …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 10–16 Read article
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Enhancement of Cable Profile and Deck Arrangement in Cable Stayed Bridge A Review
Abstract: Cable-stayed bridges are usually self-anchored structures and therefore offer a good solution at locations where the soil conditions are not good and as a consequence the cost of the foundations for an earth-anchored structure like a typical suspension bridge would become excessive. To overcome these problems, it is necessary to find a new type of material in lieu of steel. Fiber reinforced polymer (FRP) has many excellent properties, such as …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 2, 2019 · pp. 21–26 Read article
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Analysis and Design of Decoder Using Different Adiabatic Technique
Abstract: AbstractThe CMOS logic circuit depends upon charging and discharging of the capacitive load. This is one of the major sources of power dissipation. Adiabatic circuits are used to minimize the power dissipation. These circuits are based on feeding the charge back to power supply instead of discharging it to ground. The paper presented here is based on adiabatic logic style, PFAL (Positive Feedback Adiabatic Logic) and DFAL (Diode Free Adiabatic …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 1, 2018 · pp. 24–29 Read article