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81 articles for “Paradigm”
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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article
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Recent Advances in Analytical and Applied Chemistry: A Comprehensive Review
Abstract: Analytical and Applied Chemistry form the backbone of modern scientific progress, connecting fundamental molecular insights with real-world industrial and societal applications. Over the past decade, these fields have undergone significant transformation, driven by the need for sustainability, precision, and efficiency. This review highlights key advancements in green analytical chemistry (GAC), high-resolution mass spectrometry (HRMS), and the incorporation of nanotechnology into chemical sensing, while also examining their broader implications in applied …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 36–41 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Catalytic Methods to Produce 2,5-FurandicarboxylicAcid from Glucose
Abstract: The new avenue in the realm of catalysis and in chemical industry is the paradigm shift from fossil based to biobased inventory, including the feedstock. Biomass is found to be a promising substitute to petroleum- based feedstock. Almost all the chemicals that could be derived from the conventional petro-refinery can be obtained from the bio-refinery with the intelligent use of Catalysis for the conversion of biomass selectively to the target …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 12–20 Read article
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Transportable Water and Air Quality Monitoring Equipment Karishma
Abstract: The purpose of this article is to provide a broad summary of recent discoveries, identify important constraints, and suggest future lines of inquiry. In recent years, pollution has surpassed the environment's bearing capacity. There hasn't been much progress despite the installation of multiple pollution-control initiatives. Natural resources are occasionally exploited by unavoidable waste discharges, despite our government's best attempts to safeguard them. For instance, the water-intensive and polluting sectors of …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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Green Hubs in Working Spaces: A Case of IndianHabitat Center
Abstract: The rapid urbanization of cities has turned them into high-pressure environments where environmental and social challenges are increased and need innovative design solutions. This paper considers the Indian Habitat Center in New Delhi as a model for biophilic design in working spaces focusing on how architectural and landscape features influence sensory experiences. IHC is integrated with natural light, extensive greenery and water features that provide aesthetic appeal and also help …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 1–12 Read article
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A Critique of Modernism: A Case of Sagrada Família
Abstract: The Sagrada Família, Antoni Gaudí’s magnum opus, stands as one of the most recognizable and symbolically rich architectural projects of the modern era. In stark contrast to the industrial ethos of Modernism – which emphasized functionality, minimalism, standardization, and mechanized aesthetics – Gaudí’s design embraces organic forms, intricate craftsmanship, and profound spiritual meaning. This paper examines how the Sagrada Família operates not only as a monumental religious structure but also …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 12, Issue 1, 2026 · pp. 9–14 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 33–40 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Has Graphene lived Up to the Hype?
Abstract: Graphene, a single or few layers of the humble graphite and consisting of carbon atoms arranged in a honeycomb lattice, is the flagbearer of revolutionary technology called nanotechnology, which deals with materials on the nanoscale (1–100 nm). It has been hailed as a “wonder material” ever since its Nobel prize-winning discovery in 2004. The theoretical study of graphene was started in 1947 by physicist Philip R. Wallace as a first …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Predictive Maintenance of 6G Infrastructure Using Artificial Intelligence
Abstract: The transition to Sixth Generation (6G) wireless infrastructure introduces unprecedented complexity, characterized by massive densification, reliance on the Terahertz (THz) spectrum, dynamic cell topologies driven by Reconfigurable Intelligent Surfaces (RIS), and stringent requirements for Ultra-Reliable Low-Latency Communication (URLLC). Traditional reactive or fixed-schedule maintenance protocols are fundamentally inadequate for sustaining the necessary service continuity and energy efficiency in this hyper-connected, heterogeneous environment. This paper explores the critical role of Artificial Intelligence …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speedexceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The framework …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 28–42 Read article
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speed exceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 Read article
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A Study on the Future of Industrial WastewaterTreatment Plant: Trends and Innovations
Abstract: Industrial wastewater treatment plants (IWWTPs) stand at the critical intersection of economic productivity and environmental sustainability. Unlike municipal sources, industrial effluent is characterized by extreme heterogeneity, containing highly variable concentrations of toxic heavy metals, recalcitrant organic compounds, suspended solids, and emerging contaminants. This complexity necessitates bespoke, multistage treatment trains, often combining physical, chemical, and advanced biological methods (e.g., membrane bioreactors, electrochemical oxidation, and anaerobic digestion). This analysis examines the contemporary …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article
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Comparative Analysis of Equity Considerations in Heritage Preservation Policies Across Different Cultural Contexts: A Case Study with Indian Context
Abstract: This paper offers a comprehensive and multi-layered analysis of how equity principles are robustly integrated into heritage preservation policies across diverse international and national cultural contexts, with a focused and detailed emphasis on India. The core objective is to move significantly beyond conventional, site-focused conservation paradigms to meticulously assess the extent to which existing heritage frameworks actively address fundamental issues of social justice, inclusive governance, and the equitable distribution of …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 2, 2025 · pp. 1–6 Read article
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Cloud Computing-Based Software Testing
Abstract: For decades, the software testing laboratory was a bottleneck – a physical anchor holding back the velocity of digital innovation. Testers grappled with environment provisioning delays, infrastructure costs, and the ultimate frustration: lacking the muscle to simulate true production-level scale. The paradigm shift towards cloud computing has revolutionized software deployment and scalability, yet it introduces unique complexities for ensuring application quality and reliability. Traditional testing methodologies, often monolithic and resource-intensive, …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 18–26 Read article
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Securing the Edge with Artificial Intelligence, Cyber Defense: Privacy Protocols in Distributed Sensor Networks and Cloud–Fog Ecosystems
Abstract: In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article