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2000 articles for “SP” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Comprehensive Review of Membrane Fouling Control Mechanisms
Abstract: One of the biggest problems with membrane-based separation procedures is membrane fouling. As particles, organic matter, microbes, and other materials build up on the membrane’s surface or inside its pores, the effectiveness of membranes – such as those used in reverse osmosis, ultrafiltration, and microfiltration – declines over time. The effectiveness and longevity of the membrane are eventually lowered because of this fouling, which causes a drop in flux and …
Published in International Journal of Polymer Science and Engineering · Vol. 11, Issue 2, 2025 · pp. 1–9 Read article
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A Comparative Study of Solar, Wind, and Biomass Energy for Decentralized Power Generation
Abstract: The need for clean, renewable energy sources is growing as decentralized power generation gains popularity due to its ability to provide reliable power to remote areas and reduce transmission losses. This paper compares three popular renewable energy sources—solar, wind, and biomass—evaluating their feasibility, efficiency, costs, environmental impact, and sustainability in the context of decentralized power generation. Findings indicate that while each energy source has distinct advantages and challenges, a hybrid …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 11, Issue 2, 2025 Read article
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Effect of Bacillus Subtilis on Corrosion of Steel in Reinforced Cement Concrete
Abstract: Abstract Concrete is one of the most used building materials due to its cost- effectiveness, ease of availability, and versatility. It is the backbone of modern construction, being widely applied in infrastructure, residential, and commercial projects. However, it is particularly vulnerable to crack formation, which significantly reduces its service life. These cracks compromise structural integrity by allowing water ingress, which leads to the corrosion of reinforcing steel, eventually making the …
Published in International Journal of Concrete Technology · Vol. 11, Issue 1, 2025 · pp. 6–14 Read article
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Utilizing Ground Granulated Blast Furnace Slag (GGBS)as a Partial Substitute for Cement in Concrete
Abstract: Abstract Concrete is a critical material in civil engineering, valued for its strength and durability. However, the increasing demand for concrete, driven by rapid urbanization, has raised environmental concerns.Cement, a primary component of concrete, is a significant source of carbon dioxide emissions duringits production, contributing to climate change and environmental degradation. This study investigatesa sustainable alternative to traditional cement by partially replacing it with Ground Granulated BlastFurnace Slag (GGBS), an …
Published in International Journal of Concrete Technology · Vol. 11, Issue 1, 2025 · pp. 28–33 Read article
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Experimental Investigation on Cylindrical Mid-Section with Different Forebody Profiles
Abstract: In this work, the experimental approach was used to study the aerodynamic performance of cylindrical mid-section with various forebody profiles. The aerodynamic characteristics, such as static pressure, axial velocity, and coefficient of pressure for cylindrical mid-section with various forebody profiles were investigated for subsonic speed for the same length-to-diameter ratio. The experimental work was conducted at a flow velocity of approximately 25 m/s and calculations were done for zero degrees …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 44–53 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Revolutionizing Design and Manufacturing: The Role ofComputer Languages in CAD and CAM
Abstract: The evolution of computer languages has played a crucial role in the advancement of modern computational technologies, with significant contributions to fields, such as Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM). Computer languages provide the essential tools to communicate between human users and machine systems, enabling the automation of design and manufacturing processes. This review explores the development and classification of computer languages, highlighting their impact on CAD and CAM …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 30–34 Read article
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Effectiveness of an intervention package on knowledge and practice of primary caregivers regarding feeding of children with cerebral palsy kottayam ,kerala
Abstract: Children with disabilities are the ones who need additional care training and protection. Across the cerebral palsy spectrum poor nutrition status is caused by distinct pathways ranging from inadequate food intake,oral dysphagia,oral pharyngeal dysphagia,gastro esophageal reflux,chronic aspiration and behavioural etiologies.Some patients with oral pharyngeal dysphagia and gastroesophageal reflux are also at risk for recurrent aspiration,which can lead to chronic pulmonary disease. Hence it is important to give appropriate feeding intervention …
Published in International Journal of Neurological Nursing · Vol. 11, Issue 2, 2025 · pp. 15–22 Read article
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The Efficacy of Hybrid Annuity Model: Sanitation Infrastructure
Abstract: The Hybrid Annuity Model has garnered significant acclaim as a Public-Private Partnership (PPP) framework for highway infrastructure development since its inception in 2016, in response to a waning enthusiasm for PPP initiatives aimed at revitalizing the sector. This model is postulated to amalgamate the advantages of both public and private sectors, as it alleviates the financial encumbrance on concessionaires by permitting governmental investment of 40% of the requisite capital during …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–19 Read article
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Therapeutic Potential of Medicinal Pteridophytes in the Doon Valley
Abstract: The Doon Valley, nestled at the foothills of the Himalayas in Uttarakhand, is ecologically rich and biologically diverse. This region, encompassing Dehradun, Mussoorie, and Chakrata, harbors a significant variety of medicinal pteridophytes used in ethnomedicine. These plants, thriving in the region’s subtropical to temperate climate, are integral to traditional healing practices and modern pharmacological applications. A total of 28 medicinal pteridophyte species were identified in this study, each with unique …
Published in International Journal of Plant Biotechnology · Vol. 11, Issue 1, 2025 · pp. 1–19 Read article
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Luo Converter with Optimized PI Controller Design for Grid-Tied PV-Based Electric Vehicle
Abstract: There is a huge requirement for installing EV chargers all over the globe since the depletion of fossil fuels which are edging. There is a need to find alternative advanced converter to boost the output from PV. The solar energy is the recomended alternative energy to generate electrical enegy without any pollution. Also, In the present scenario, we need to go for Scalable & Sustainable Electric Vehicle (EV) charging infrastructure …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 23–27 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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Machine Learning and Big Data in Smart Grid Renewable Energy Systems: Trends and Challenges
Abstract: This paper reviews eight research studies on smart grids and their role in mitigating greenhouse gas (GHG) emissions, which have become a critical concern worldwide. Renewable energy sources such as solar, wind, and hydro produce minimal or no greenhouse gases and, unlike fossil fuels, are abundant, sustainable, and ensure a long-term energy supply. Large volumes of data have been produced by recent technical developments and thorough historical data collection. Efficient …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 1, 2025 · pp. 21–26 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
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Impact of Exhaust Gas Recirculation on NOx Emissions and Efficiency in Diesel Engines
Abstract: Abstract Exhaust gas recirculation (EGR) has emerged as a pivotal strategy to reduce nitrogen oxide (NOx) emissions from diesel engines, which significantly contribute to air pollution and environmental degradation. NOx emissions pose serious concerns due to their role in forming smog, acid rain, and adverse health impacts. By recirculating a portion of the exhaust back into the intake manifold, EGR reduces these emissions by restricting the manufacturing of NOx and …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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From Early Innovations to Modern Breakthroughs: The Evolution and Applications of Microprocessors
Abstract: Microprocessors have revolutionized modern technology, starting with the groundbreaking Intel 4004, the first commercially available microprocessor. These versatile chips have since evolved dramatically, advancing from 4-bit architectures to today\u2019s 64-bit ultra-core processors. This paper explores the progression of microprocessor technology, highlighting key milestones, such as the introduction of integrated circuits, multi-core architectures, and advanced instruction sets. The study examines microprocessors’ widespread applications, including personal computing, gaming, consumer electronics, and industrial …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 7–14 Read article
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Innovative Digital Clusters for EVs: Design, Features, and User Experience
Abstract: This paper examines the development of digital dashboards (clusters) in electric vehicles (EVs) aimed at providing drivers with clear, real-time, and essential information. As EV adoption continues to rise due to government incentives and growing environmental awareness, the demand for an intuitive, user-friendly, and efficient dashboard has become increasingly important. An EV’s digital cluster displays crucial data, such as speed, battery level, estimated driving range, and energy consumption. Additionally, it …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 15–22 Read article
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To Study the Effects on Mechanical Properties ofConcrete by Partial Replacement of Sand with MetallicSwarf
Abstract: Abstract The utilization of metallic swarf in concrete manufacturing is increasing in importance due to its environmental and economic benefits. However, the mechanical qualities of such concrete frequently appear inferior to regular concrete. To improve the mechanical characteristics of standard concrete, numerous additives have been researched, but the utilization of metallic swarf remains a mystery. This research investigates the recycling of waste metallic swarf produced in the automobile industry and …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 54–60 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article