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845 articles for “base frame”
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Framework-Based Optimization of Catalysis Efficiency through Reaction Pathway Engineering
Abstract: The rational design of heterogeneous catalysts through framework-based approaches has emerged as a transformative strategy for controlling reaction pathways and enhancing catalytic efficiency. This paper examines recent advances in the optimization of catalytic performance through engineered frameworks, including metal-organic frameworks (MOFs), zeolites, and related porous materials. By integrating computational methods with experimental validation, researchers have achieved unprecedented control overactive site architecture, reactant confinement, and elementary reaction steps. This work reviews …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 2, 2026 · pp. 88–99 Read article
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Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
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Resilient Shell-Based Frameworks for Edge and IoT Systems: A Comprehensive Analysis of Lightweight Automation in Distributed Environments
Abstract: Edge computing and Internet of Things (IoT) deployments require automation solutions that minimize resource use while supporting real-time processing and intermittent connectivity. This study investigates shell-based frameworks for managing distributed edge and IoT systems, with emphasis on sensor integration, live monitoring, and fault recovery. Drawing from 200 real-world deployment cases across smart city, healthcare, and industrial domains, the analysis compares shell scripting directly against containerized approaches (e.g., Docker with lightweight …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Design of an Integrated Health Monitoring System on an IoT-Based Framework
Abstract: With the advent of industrialization, health ailments have become a major cause of concern owing to an inactive and fast lifestyle, polluted environments, and detrimental eating habits. However, IoT has become a boon for the health sector and humanity on account of its countless benefits, rendering improved quality of service and patient-centric care. An Integrated Health Monitoring System (IHMS) is presented in this paper. This new IoT-based framework integrates wearable …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Bridging the Gap Between Product Development and Entrepreneurship in Engineering Curriculum: A Framework-Based Approach Aligned with NEP 2020
Abstract: Despite advancements in technical education, Indian engineering graduates frequently enter the workforce lacking critical competencies in product development (PD) and entrepreneurship. This imbalance has drawn scrutiny from industry and policymakers alike, with national directives such as the National Education Policy (NEP 2020) emphasizing a shift toward “experiential, holistic, integrated and inquiry-driven” learning models. Similarly, the All-India Council for Technical Education (AICTE) has embedded innovation labs, internship mandates and entrepreneurship courses …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 87–100 Read article
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Re-imaging Education Policy of a Framework Based on Indian Knowledge Systems
Abstract: Digital transformation revolutionized education; it enhances teaching and learning, improves administrative tasks, and empowers students and educators. Digital transformation in education and its importance in shaping the future. Integration of technology in classrooms enables interactive and immersive learning. Digital tools offer dynamic learning experiences, enhancing student engagement. This leads to improved comprehension and knowledge retention. Personalized learning experiences are facilitated by digital transformation. Digital transformation creates vast resources and online …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 42–63 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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AI-Based Cybersecurity Framework for Protecting Smart Surveillance Infrastructure in Mumbai
Abstract: Smart city infrastructures increasingly rely on interconnected surveillance systems to ensure safety, operational efficiency, and public trust. However, the rapid expansion of IoT-based monitoring technologies has introduced new cyber risks, especially in high-density metropolitan areas. This paper proposes an AI-driven cyber resilience framework targeting smart surveillance infrastructure as a critical smart-living domain, focusing on Mumbai as a case study. Using the CIC-IDS2017 dataset, a machine learning-based intrusion detection model is …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 Read article
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Topology optimization of structures with manufacturing constraints in ANSYS Workbench 19.3
Abstract: The topology optimization analysis system of ANSYSWORKBENCH19.3 is widely used in structural design because it includes manufacturing constraints. However, the topology of the structure and the ease of manufacturing will also change depending on how these manufacturing constraints are set and used. This paper studies the methodology to obtain a more convenient topology on manufacturing while minimizing the mass of the structure by rationally setting the manufacturing constraints. An example …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 2, 2023 · pp. 23–37 Read article
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Resilient Shell-Based Networking Frameworks for DTN Environments: Enhancing Reliability and Security across Disrupted and High-Latency Satellite Channels
Abstract: The foundation of DTN, as suggested by the Internet Research Task Force (IRTF), is the definition of a suite of protocols that function in networks with periodic disconnections and long- duration route conditions. A permanent end-to-end channel from the source to the destination is the foundation of traditional IP-based networking. However, DTN employs a store-carry- forward approach that gives intermediary nodes the ability to temporarily hold messages (or bundles) until …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 3, 2025 Read article
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Seismic Analysis of G+10 Building With and Without Zipper Brace Frame
Abstract: This paper presents a seismic analysis of a G+10 building with and without Zipper Brace Frame (ZBF). The research begins with a detailed literature review, investigating the existing seismic-resistant techniques employed in high-rise buildings. The Zipper Brace Frame is introduced as an innovative system that has shown promising results in enhancing seismic performance while maintaining architectural aesthetics. Two analytical models are created: one without bracing systems and the other incorporating …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 3, 2023 · pp. 27–34 Read article
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Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
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ML-Enhanced Smart Sensing Framework for IoT- Based Structural Health Monitoring Using Conductive Polymer Composites
Abstract: The growing demand for intelligent structural health monitoring (SHM) in dynamic infrastructures necessitates flexible sensing systems that are not only mechanically robust but also capable of real-time interpretation. Conventional SHM frameworks often rely on brittle sensor configurations and cloud-dependent processing pipelines, which suffer from latency, limited durability, and poor adaptability under variable loading conditions. Despite recent advances in composite materials and machine learning, current approaches lack a unified framework that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 348–369 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Seismic Evaluation of RC Framed Buildings using Performance Based Design
Abstract: Seismic resiliency of new buildings has developed over the years due to enhancements in seismic codes and design practices. Though, existing buildings designed and built under past codes are vulnerable and require a performance-based screening and retrofit prioritizing. Performance based seismic design provides a framework for determining the level of safety and level of property protection in earthquake events with the consideration of uncertainties in the quantification of possible hazard …
Published in Journal of Structural Engineering and Management · Vol. 7, Issue 1, 2020 · pp. 33–41 Read article
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ASSESSING RISKS OF FIRE ITS CONSEQUENCE MODELLING AND DETECTION SYSTEMS FOR OFFSHORE INDUSTRIES
Abstract: Offshore industries are well recognized all over the world for its complex conditions, geometry, robustness, and rigidness. A small mistake can immediately escalate to catastrophe, of all the accidents reported till date fire is the most frequently reported one. Major accidents like the Deepwater Horizon, piper alpha has taught entire crude industry a lesson on how important it is to prevent fire occurrence. therefore, it is necessary to study fire …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 11–16 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Hidden Markov Model (HMM) Statistical Model and Learning from Data Concepts Context-Aware Framework: A Basic Design in Accelerometer Based Smartphones
Abstract: This paper proposes a novel system focused on the Secret Markov Model (HMM) mathematical model and the analysis of data concepts. The architecture either considers or predicts device specific inferences named 'device states' for potential context-conscious implementations. Context-aware systems involve continuous data collection and analysis from one or more sensor readings. The battery life of the unit must also be increased due to the reality that the continually operating built-in …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 34–41 Read article