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2000 articles for “CO” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Evaluating Remedy of Oil Polluted Environment Using Fermented Cassava Liquid
Abstract: A 28-day experimental investigation was conducted to evaluate the effectiveness of fermented cassava liquid in the bioremediation of crude oil-contaminated soils. Three soil types, namely clay, sandy-loamy, and swampy soils, were examined. Cassava liquid was fermented for six days to allow sufficient microbial growth before being introduced into the contaminated soil samples. Uninoculated contaminated soil served as the control. Soil samples were collected at one-week intervals throughout the study for …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 2, 2026 Read article
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Advanced Magnesium-Based Metallic GlassComposites for Biomedical Implant Applications: AMachine-Learning-Informed Approach
Abstract: Magnesium-based bulk metallic glasses (Mg-BMGs) combine strength, low density, and tunable degradability. Their amorphous matrix has a small plastic process zone. This zone is only about 4 μm wide. A small process zone keeps most glasses brittle. Adding a second phase is the best fix. This chapter extends Mg-BMGs to true composites. We call these Mg-based bulk metallic glass composites, or Mg- BMGCs. The chapter covers matrix engineering and interfacial …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 48–65 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Vehicle to Grid and Grid to Vehicle single phase Grid
Abstract: This paper contains the modeling and intelligent control of Vehicle-to-Grid and Grid-to-Vehicle single-phase bidirectional converter. It is suggested to have a hybridized double-loop control architecture including an outer DC-link voltage regulation loop and an inner grid current control loop. A voltage control loop is added to a DC-link voltage adjustment system with fuzzy logic controller (FLC), to adjust dynamic performance under various operating conditions controlled by adaptively regulating the DC-link …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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A Comparative Study of JWT and Web Authn for Password less Authentication in MERN Stack Applications
Abstract: More than 80% of web application breaches are rooted in credential compromise, yet password-based login continues to be the default choice in most MERN stack deployments. This paper reports on a side-by-side implementation of JSON Web Token (JWT) and Web Authentication (WebAuthn) within a shared MERN reference application built on React 18, Express.js 4.18, Node.js v20 LTS, and MongoDB Atlas M10. The JWT branch uses bcrypt at cost factor 12 …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Comparative Analysis of a G+29 RCC Building under Indian Wind Zones III, IV, and V Using Parametric BIM–FEM Integrated Workflow
Abstract: The increasing demand for high-rise reinforced concrete (RCC) buildings in urban regions has made wind-load assessment an important aspect of structural design. In tall buildings, wind-induced lateral forces significantly affect serviceability performance, structural stability, and occupant comfort. Recent advancements in Building Information Modelling (BIM) and finite element–based structural analysis have improved the efficiency, accuracy, and interoperability of structural design workflows. The present study investigates the comparative wind response of a …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 Read article
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Development of Flame-Retardant Polymers for Safer Construction Materials
Abstract: This research explores the development of smart textiles using bio-based materials that exhibit both temperature-adaptive and self-cleaning properties. With growing demand for sustainable alternatives in the textile industry, this study focuses on incorporating natural fibers and biodegradable coatings to achieve responsive fabric behavior. Key fabrication techniques, material choices, and performance characteristics are discussed, along with potential applications in medical, sports, and environmental textiles. This paper aims to bridge the gap …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 1, 2026 · pp. 35–43 Read article
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Investigation on the Comparison of the Physical Properties of Stimulants for Petroleum Hydrocarbon Remediation in Soil
Abstract: Crude oil pollution is a major environmental concern that can cause significant damage to soil ecosystems. Bioremediation, a natural process in which microorganisms degrade pollutants, has emerged as a promising approach for the remediation of crude oil-contaminated soil. Grape leaf powder (Vitis Vinifera), a readily available and inexpensive organic material, has been shown to stimulate microbial activity and enhance bioremediation. This study investigated the effectiveness of grape leaf powder as …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 53–68 Read article
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Smart Risk Management: Power BI in Modern Construction Practices
Abstract: Abstract— In the evolving domain of construction management, data-driven decision-making plays a pivotal role in ensuring successful project execution. This paper presents a comprehensive approach to risk identification, analysis, and mitigation using Microsoft Power BI. By integrating Failure Mode and Effects Analysis (FMEA) and risk data extracted from periodic reports (PPR, DPR, WPR), we demonstrate how Power BI's data visualization capabilities can transform raw datasets into actionable insights. The generated …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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Literature Review on Overcoming Graphene Dispersion Challenges in Ultra High Performance Concrete: A Review of Self-Dispersion and Bio-Polymer Encapsulation Strategies
Abstract: Abstract—Ultra-High-Performance Concrete (UHPC) is a new generation of cement-based material because of its higher compressive and tensile strength, increased durability, and higher resistance to environmental degradation. However, UHPC undergoes microcracking when subjected to mechanical and thermal loading, which can jeopardize the long-term performance of the structure, decrease service life, and cause expensive maintenance. Traditional solutions to enhance UHPC durability are centered on material densification and fiber strengthening, while these treatments …
Published in International Journal of Concrete Technology · Vol. 12, Issue 1, 2026 · pp. 31–46 Read article
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SUSTAINABLE ENERGY METER FOR NON- ESSENTIAL LOADS
Abstract: The growing demand for accurate, cost-effective, and sustainable energy monitoring solutions has accelerated advancements in smart metering, non-intrusive load monitoring (NILM), and real-time consumption analysis. This research paper consolidates and extends insights from recent developments in energy metering technologies, focusing on battery-free sensing, IoT- enabled monitoring, life-cycle sustainability, and meter performance under distorted grid conditions. Building upon prior work on non-intrusive and adaptive load monitoring, this study proposes an integrated …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 21–30 Read article
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Sulfur-Based Copolymers: Current Status and NewOpportunities in Synthesis and Product Applications
Abstract: Sulfur-based copolymers are fascinating materials with a wide range of applications. This reviewarticle delves into the synthetic aspects of sulfur copolymers, their characteristics, and theirapplications. Sulfur is a byproduct of refineries, produced in large quantities worldwide. Varioussulfur-based copolymers have been synthesized through inverse vulcanization, catalyst-induced low temperature inverse vulcanization, and polycondensation reactions. Researchers have studied a varietyof monomers, including benzoxazine moieties and sulfur-based systems with allylic or vinylicfunctionalities. The article …
Published in International Journal of Polymer Science and Engineering · Vol. 11, Issue 1, 2025 · pp. 10–36 Read article
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Use of Titanium as filter on chimney
Abstract: Industrial chimneys are one of the largest contributors to air pollution, releasing a wide range of harmful gases and fine particulate matter into the atmosphere. These emissions significantly degrade environmental quality and contribute to long-term public health risks such as respiratory diseases and cardiovascular complications. Traditional air pollution control devices used in industrial exhaust systems, including electrostatic precipitators and bag filters, often struggle with high operational costs, frequent maintenance, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 2, 2025 · pp. 120–126 Read article
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Optimizing Die Life in Hot Forging: A Comprehensive Review of Improvement Methods
Abstract: Abstract: The wear investigation on die inserts utilized in the hot forging method to create a yoke type forging—an element that makes up passenger car steering systems—is presented in this paper. In order to provide a quick and accurate wear examination of the forging tools (of complex forms), the investigation used an innovative reverse scanning technique that eliminates the need to remove the tools from the producing unit. The study …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 62–67 Read article
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BEHAVIORAL STUDY OF REINFORCED CONCRETE BUILDINGS DURING MAINSHOCK–AFTERSHOCK EARTHQUAKES
Abstract: ABSTRACT - Earthquakes are among most destructive natural hazards, often causing widespread damage to buildings and vital infrastructure. The extent of this damage depends on various factors, one of which is the nature of fault movement. The point of initial rupture beneath the Earth’s surface is known as the hypocenter or focus. Seismic activity can be broadly divided into two categories: mainshocks and aftershocks. While the mainshock generally causes the …
Published in International Journal of Concrete Technology · Vol. 11, Issue 2, 2025 · pp. 6–14 Read article
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Dynamics Behaviour of Clamped-Clamped Non-Uniform Elastic Beam on Two Parameters Foundation Under Concentrated Moving Load
Abstract: This paper presents a computational study on the dynamic response of a clamped–clamped non-uniform elastic beam supported by a two-parameter foundation and subjected to a concentrated moving load. The analysis incorporates the inertial contribution of the moving load. Unlike uniform models, both the mass per unit length and the moment of inertia of the beam are assumed to vary along the span LLL. The governing equations are solved using the …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–18 Read article
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From Cloud to Edge–The Comprehensive Impact ofEdge AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence (AI) can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology. Autonomous driving, smart …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 1–13 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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Pollutant Emissions, Performance and Combustion Characteristics in Diesel Engines at High Altitudes: A Review
Abstract: At high altitudes, majority of the engines tend to have less power output since the increase in altitude which directly results in lack of oxygen content present in the atmosphere. This paper presented to come up with a systematic work carried out on the existing research efforts regarding the effects of altitude on engines, the changes or modifications that can be applied for the enrichment of oxygen, the design parameters, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 1, 2025 · pp. 37–50 Read article
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The Role of Artificial Intelligence in ICU Patient Monitoring and Predictive Analytics: A Prospective Cohort Study
Abstract: Background: Intensive Care Units (ICUs) face challenges in effectively monitoring critically ill patients. Traditional monitoring methods may not detect subtle signs of deterioration in time, leading to worsened outcomes. Artificial Intelligence (AI)-driven monitoring systems have emerged as a potential solution, promising improved predictive capabilities and patient outcomes. Objective: This study aimed to evaluate the impact of AI-based monitoring systems on ICU patient outcomes, focusing on mortality rates, length of ICU …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article