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40 articles for “Extreme Framework”
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Agile Software Methodology with Tools and Improvements
Abstract: This Paper explains about the new technologies and techniques used in the Agile Software Methodology. Previous days the technology of waterfall model have been used. Water fall model is the elderly model based on the business requirements written by business analyst. Based on the business requirements technologist developed their own requirement and developed the Product. The later, new Agile method is a repetitive process where the demand and solution and …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 38–44 Read article
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Matching Minutiae Fingerprint Q-Learning Approach for Detail Coordination: Identifiable Mark Point
Abstract: The use of fingerprints for high-precision recognition and identification of people is one of the most reliable biometric symbols because it is non-invasive. In this paper, we propose an innovative approach to detect details on low contrast resolution image quality of fingerprint images. Existing algorithms are not very susceptible to sound and image excellence due to the lack of level of intensity. We recommend a reliable route to find fingerprints …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 1–15 Read article
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Learning of Maximum Power Point Tracking Architecture with Various Algorithms for Photovoltaic Systems: A Review
Abstract: Currently, as the requirement on the Earth for ever more electricity grows, so too accordingly must demands upon renewable energy. These days, with the growth of renewable energy on all fronts, countries everywhere watch its development. Since demand for power generation goes up again, fossil fuels become less and less available, and expense is not coming down. When there is a rapidly changing irradiance, temperature, or partial shading, the output …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 · pp. 14–22 Read article
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Experimental and Numerical Investigation of Corrosion-Induced Failures in Copper-Tin Alloy (Cu-Sn) and Aluminum-Magnesium Alloy (Al-Mg) Connectors: A Stress–Corrosion Coupling Analysis
Abstract: The utilization of an integrated experimental and finite element modelling (FEM) methodology, this study investigates the degradation and failure mechanisms in polymer composite electrical connectors exposed to aggressive environmental conditions. Epoxy- and polyamide-based composites, reinforced with carbon and glass fibers, were subjected to accelerated salt spray and humidity–temperature cycles to simulate prolonged outdoor exposure. Electrochemical and environmental aging experiments revealed that chloride ions and moisture ingress were responsible for matrix …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 366–379 Read article
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Community Resilience Against Terrorism: Strengthening Social Cohesion to Prevent Radicalization
Abstract: This article explores the critical role of social cohesion and community resilience in preventing radicalization and violent extremism. While traditional counterterrorism strategies have primarily relied on military operations, intelligence gathering, and law enforcement interventions, growing evidence suggests that community-based approaches offer more sustainable and long-term solutions. Drawing on global examples, particularly from Denmark and Indonesia, the study highlights how early intervention, cross-sector collaboration, and the active participation of civil society …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 13–17 Read article
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Land surface dynamics: A Multiphysics Approach to Modeling Mass Transport
Abstract: Land surface dynamics are governed by complex interactions among hydrological, atmospheric, and geomorphological processes that collectively drive the transport of mass across terrestrial environments. Traditional modeling approaches often isolate individual mechanisms, limiting their ability to capture the coupled feedbacks that shape landscape evolution. This study presents a multiphysics framework for modeling mass transport on land surfaces, integrating fluid flow, sediment transport, heat exchange, and chemical reactions within a unified computational …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 31–36 Read article
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Intelligent Electromagnetic Synthesis: An AI-Driven IoT Framework for Adaptive Antenna Design in Missile Navigation
Abstract: The rapid evolution of hypersonic and long-range tactical missile systems necessitates antenna architecture capable of maintaining robust communication links under extreme thermal, mechanical, and signal-jamming environments. Traditional antenna design methodologies often relying on iterative simulation cycles and static optimization are increasingly insufficient for the real-time requirements of modern aerospace navigation. This paper proposes an AI-driven, IoT- integrated framework that facilitates autonomous antenna design and performance optimization. By deploying a distributed …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
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A review on Pole mounted GSM based circuit breaker
Abstract: At this modern age of technology-heavy machines working on live electric lines are more in numbers then compared to past few years. The fast development of electrical industries developed standards and established safety procedures to minimize various types of major hazards that may lead to severe injuries and death of the operators. However, if the scenario of the lines needs to be repaired that’s where the job will be endangered …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 1–8 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India
Abstract: Freshwater availability fundamentally shapes the structure and function of dryland ecosystems, where evapotranspiration exceeds precipitation for most of the year. Protected areas in semiarid regions face intensifying hydrological stress from climate variability, growing wildlife populations, and resident human communities, yet systematic spatial assessments of water scarcity remain scarce for many critical habitats. The Barda Wildlife Sanctuary in coastal Gujarat, India, has recently become a secondary home for the endangered Asiatic …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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A Review of History and Origin of Corona Virus Infection
Abstract: Crown infection (COVID-19) is a wrapped RNA infection that is differently found in people and natural life. A sum of six animal groups has been distinguished to cause infection in people. They are known to contaminate the neurological, respiratory, enteric, and hepatic frameworks. The previous not many decades have seen endemic flare-ups as Middle East respiratory disorder crown infection (MERSCoV) and extreme intense respiratory disorder related crown infection (SARS-CoV).The latest …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 10, Issue 2, 2020 · pp. 29–31 Read article
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Eco-Friendly Elixirs: A Critical Review of Biosurfactants for Sustainable Wastewater Solutions
Abstract: Biosurfactants are the amphiphilic substances which are acquired from the remains of the living microorganisms and have attracted a lot of scientific interests because of their applicability in various fields. This review aims at reviewing current research and development on biosurfactants with special emphasis on their application in wastewater and oil. Biosurfactants being less hazardous to the environment are produced by microorganisms and works as a substitute for chemically produced …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 14–33 Read article
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Climate Change Including Forest Fire Prediction using Machine Learning and Deep Learning
Abstract: Climate change alludes to long haul shifts in temperatures and atmospheric conditions. These movements might be regular, for example, through varieties in the sun-oriented cycle. In any case, since the 1800s, human exercises have been the fundamental driver of climate change, basically because of consuming fossil fuels like coal, oil and gas. Many individuals think climate change mostly implies hotter temperatures. Be that as it may, the temperature climb is …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 Read article
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Potential Risk and Benefits in Developing New Nanobot Technologies and Future Posibilities
Abstract: The development of new nanobot technologies has the potential to revolutionize various fields, including medicine, manufacturing, and environmental science. However, as with any emerging technology, there are potential risks and benefits associated with nanobots. This abstract explores the potential risks, including toxicity, unintended consequences, and environmental impact, as well as the potential benefits, such as targeted drug delivery, diagnostic imaging, and tissue engineering. We also discuss the future possibilities of …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 87–93 Read article
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Metagenome-Informed Engineering of Monoclonal Antibodies: Mining Microbial Immunoglobulin-Like Domains for Ultra-Stable Therapeutics
Abstract: Metagenome-informed engineering represents an emerging strategy for improving the stability and functionality of monoclonal antibodies (mAbs) by leveraging the vast diversity of microbial immunoglobulin-like (Ig-like) domains (10,24). These domains, derived from uncultured bacteria and bacteriophages, exhibit exceptional thermostability, protease resistance, and structural resilience due to adaptation to extreme environments (29,30). This review highlights advances in metagenomic mining, structural characterization, and protein engineering that enable the integration of microbial Ig-like scaffolds …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 70–83 Read article
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Concurrent PTSD Psychotherapy Through Multi-Personnel Virtual Reality Framework
Abstract: Networked Virtual Environments (NEV) are sets of disjointed virtual worlds which are topographically set apart from the users yet connected through the communication network to give them the illusion of being in the same virtual location. NVEs are increasingly receiving consideration from business and research point of view. Contrasted with various sorts of possible applications, NVEs require a high responsiveness to ensure continuous streaming of live data for full immersion. …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 1, 2017 · pp. 22–26 Read article
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AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
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Hybrid Solar PV–Wind Energy System: A Performance Study
Abstract: The solar PV and, wind energy hybrid technology is based on the concept of a modular, scalable, distributed renewable energy system designed and optimized for on and off grid installations. This kind of system is fully integrated hybrid system that combines wind energy units with PV technology in a compact footprint, creating the greatest energy generation density. The hybrid concept is unique and disruptive, seamlessly utilizing wind and solar energy …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 1, 2017 · pp. 7–10 Read article
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AI-Assisted Kinetic Modeling of PLA Hydrolysis Under Subcritical Water Conditions for Sustainable Polymer Recycling
Abstract: The accumulation of poly (lactic acid) (PLA) in terrestrial and marine ecosystems has intensified the demand for closed-loop, green recycling technologies. Subcritical water (SCW) hydrolysis offers a promising, catalyst-free pathway for the rapid depolymerization of PLA into its constituent monomer, lactic acid. However, the complex, highly non-linear kinetics governing macro-molecular degradation under variable hydrothermal conditions limit real-time process optimization and industrial scalability. This study develops a novel artificial intelligence (AI)-assisted …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 65–74 Read article