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1951 articles for “MUL” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Multi-Criteria Decision Making: A Complete Review on Selection, different problems and Adoption of Cloud Service
Abstract: Abstract- With the tremendous growth and use of raw and factual data in the modern world, it’s required to use an efficient approach in the selection of cloud services. With the complex and inter-dependent necessities of different users over different platforms along with the service models of cloud, hybrid approaches are preferred widely by the users for their scalability and availability features. This article offers a comparison between the available …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 2, 2019 · pp. 11–15 Read article
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Design, Construction and Testing of a Solar Charged Multi-USB Power Bank Using Lithium-ion Batteries
Abstract: This work proposes the design of a solar-powered charger for low-power devices. The level of the charging current is controllable and any residue power is saved to a rechargeable 12-volt lithium-ion battery. The power source is the solar panel, which is connected to a power booster for faster charging of any USB device connected to it. Quick charging is 20% of the battery output current (almost 10,000 mA/h) so that …
Published in Journal of Instrumentation Technology & Innovations · Vol. 6, Issue 1, 2016 · pp. 61–76 Read article
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A Profound Analysis on Complex Multiclass BCI Signals Classification by an EEG Device
Abstract: With a major shift in the technology paradigm today in the area of deep learning and artificial intelligence, one of its important applications today is found in brain-computer interface (BCI). Brain computer-interface, also known as neural control interface or mind-machine interface is a device that helps a user to interact with a computer using only his brain-activity, which is measured usually by Electroencephalography (EEG). The usage of such mechanism has …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 22–44 Read article
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Sub-Pixel Classification of Multi-date Satellite Images for Accurate Change Detection in Pichavaram Mangroves, Tamilnadu, India
Abstract: The Pichavaram mangrove wetland ecosystem contains species such as Rhizophora apiculata and Avicennia marina which are interspersed with the creeks and marshland landforms. Various studies have indicated that over the years the areal extent of this mangrove ecosystem has decreased due to both human impact and natural causes (erosion). However, field visits have indicated an increase in the areal extent due to re-forestation by the officials of the forestry department. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 30–37 Read article
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Multifarious Pharmacotherapeutic Perspectives of Some Natural Bromophenol Compounds: In silico Enzyme Inhibitory Potentials
Abstract: The process of drug discovery, design, and development often designated as 3Ds has played enormous role in modern era. The present research investigation includes in silico exploration of possible pharmacological potentials of bromophenol compounds by the aid of Schrodinger Maestro 9.1 software against six pharmacotherapeutic targets; Dipeptidyl peptidase (anti-diabetic), Angiotensin-1-Converting Enzyme (anti-hypertensive), Cyclin-Dependent Kinase-5 (anti-cancer), Protein kinase C (anti-cancer), Lipoxygenase-5 (anti-inflammatory), and Cycloxygenase-2 (anti-inflammatory). The docking scores, referred to as …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 6, Issue 2, 2019 · pp. 24–29 Read article
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Multi-Response Optimization of Turning Parameters with Vikor-Entropy Method on Machining of AA6061-TiB2 In-Situ Composites
Abstract: In the manufacturing and metal cutting industries, the quality of the surface and strength is essential in defining the surface finish; an excellent surface finish indicates excellent quality in the product. The influence of machining parameters speed, feed and depth of cut on responses like material removal rate, surface roughness and Power consumption on turning of AA6061-TiB2 composites is investigated using the VIKOR-ENTROPY method. The effects of changing parameters on …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 256–268 Read article
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Optimum Machining Parameters for Al 7075 Hybrid Metal Matrix Composites Using Multi-objective Optimization Technique and the Modified Taguchi Approach
Abstract: Lightweight composite materials with improved mechanical properties are widely used in industries. There is a need to obtain optimum machining parameters of such hybrid composites. This paper uses reliable multi-objective optimization technique and modified Taguchi approach to determine optimal machining parameters such as speed (NS) varying from 1000 rpm to 1500 rpm, feed rate (FR) from 0.10 mm/rev to 0.20 mm/rev, depth-of-cut (DC) varied from 0.5 mm to 1.5 mm …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 269–278 Read article
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Geospatial Measurement of Shrinking Lake Mead Using Multi-Temporal Datasets From 1987 to 2020 and Its Relationship with the Climate Change
Abstract: The study provides an overview of the relation between climate change and its harsh consequences, and thereby revealing evidence of extremes conditions such as drought. Lake Mead of USA is one such example which is a readily contracting lake. The reason is fast temperature increment, human exploitation, etc. therefore leading to jeopardized and devastating effects on life structure. GIS and Remote Sensing has emerged as an extraordinary key instrument for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 18–27 Read article
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Dynamic Skip-Layer Trees: A Novel Data Structure for Efficient Multi-level IoT Data Processing in Smart Cities
Abstract: This paper introduces dynamic skip-layer trees (DSLTs), a novel hierarchical data structure specifically designed for processing and managing multi-layered Internet of Things (IoT) sensor data in smart city environments. DSLTs extend the traditional skip list concept by incorporating dynamic layer adjustment and spatial awareness, enabling efficient querying and updates across various geographical and temporal dimensions. Our experimental results demonstrate that DSLTs achieve up to 40% faster query processing and a …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Multi-Objective Optimization of Geopolymer Cement Block Parameters Using Bentonite and Fly Ash
Abstract: Presently, geopolymer blocks are being produced by using industrial by-products like fly ash. This study focuses on the development of geopolymer cement blocks using the composition of bentonite and fly ash. The specific objective is to examine and optimize the geopolymer cement block parameters using a novel composition. The oxide ratio, alkali activator ratio, and molarity are considered variables. In contrast, the responses are considered as flow table, fresh density, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 810–828 Read article
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A 9-level type as multi-based invertor of the transformer and types of topolgy with analysis & comparision.
Abstract: In this paper presents information about the transformer as a multi-based investor. We are using the proposel of the 9-level invertor. In this inverter we are used the various type of switches. Such operation will be used of this transformer, we give input of one dc voltage source to output is the good quality of power. For the 9-level invertor one input as dc source will give the 9 level …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 37–43 Read article
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A Multi-Criteria Analysis Based on Various Factors for Evaluation of Organic-Mineral Fertilizer Components
Abstract: This study explores the potential of organic-mineral fertilizers as sustainable alternatives to synthetic options, evaluating ten such fertilizers, including coffee grounds, poultry eggshells, bone meal, Fish Emulsion, compost, cow manure, wood ash, biochar, seaweed extract, and green manure. A multi-criteria analysis assessed factors like effectiveness, cost, environmental impact, availability, and waste potential. Coffee grounds and poultry eggshells performed best due to their high nutrient content and positive soil effects, with …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 32–44 Read article
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VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion
Abstract: Road safety for bike riders remains a significant concern, with accident rates highlighting the need for advanced solutions to ensure rider protection and awareness. This paper presents “VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion”, a voice-activated, continuously operating assistance system designed to provide real-time, intelligent solutions for various riding scenarios. VERONICA integrates accident detection, low-traffic route navigation, traction control advisories, and weather updates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 09–17 Read article
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Evaluation of Organic-Mineral Fertilizer Components: A Multi-Criteria Analysis Based on Various Factors
Abstract: This study explores the potential of organic-mineral fertilizers as sustainable alternatives to synthetic options, evaluating ten such fertilizers, including coffee grounds, poultry eggshells, bone meal, Fish Emulsion, compost, cow manure, wood ash, biochar, seaweed extract, and green manure. A multi-criteria analysis assessed factors like effectiveness, cost, environmental impact, availability, and waste potential. Coffee grounds and poultry eggshells performed best due to their high nutrient content and positive soil effects, with …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 29–42 Read article
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Digital Agriculture Schemes in Kerala: Risk Analysis and Multi-Layered Security Framework
Abstract: Kerala’s agricultural sector is undergoing rapid digital transformation, driven by initiatives such as the e-Krishi platform and the growing adoption of Internet of Things (IoT)–enabled precision farming technologies. While these developments promise improved productivity, transparency, and data-driven decision-making, they also introduce significant cybersecurity and data governance challenges that cannot be overlooked. This paper critically examines the emerging security, privacy, and operational risks associated with the digitization of agricultural services in …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 23–30 Read article
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Multi-Layer Aluminum–Polymer Hybrid Structures for Improved Automotive Impact Performance
Abstract: Layered metal–polymer hybrid laminates have emerged as promising candidates for lightweight automotive structures requiring high impact resistance and structural reliability. In this study, aluminum/glass–epoxy hybrid laminates were fabricated using a symmetric stacking sequence through hot compression molding to evaluate their mechanical and energy absorption performance. Density analysis revealed an average measured density of 2.34 g/cm³, closely matching the theoretical value of 2.36 g/cm³, with a deviation of approximately 1.02%, indicating …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 42–53 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Design And Implementation Of A Multi-Modal Mobile Application Safety Analytics Utilizing Nlp
Abstract: This study suggests a multi-modal mobile app safety analytics platform that uses natural language processing (NLP) to handle voice, text, and SOS messages. For effective intent recognition and decision-making, the platform processes all messages in a standard text or SOS flag format. Tokenization and normalization are used to process text communications, whereas noise reduction and text conversion are used to handle voice messages. For a quicker response, the SOS messages …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Physicochemical Transitions and Polymerization Dynamics in Multi-Generational Dentin Adhesives: A Critical Review of the Resin-Dentin Composite Interface
Abstract: Adhesive dentistry has undergone a transformative refinement over the past three decades, transitioning from technique-sensitive, multi-step etch-and-rinse protocols to streamlined universal formulations. This narrative review critically synthesizes evidence from thirty peer-reviewed investigations to evaluate the evolution of dentin bonding agents from the fourth through the eighth generations. The analysis places particular emphasis on the physicochemical dynamics of the resin-dentin interface, including interfacial bond strength metrics, marginal integrity, and microleakage behavior. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 209–228 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article