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239 articles for “methodological frameworks”
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Swachhata Hi Seva: Transforming Public Health, Environmental Sustainability, and Water Stewardship Through Community Engagement
Abstract: Swachhata (cleanliness) is not merely a hygiene practice but a foundational driver of public health, environmental resilience, and sustainable development. Recognizing its multidimensional importance, this research critically examines the “Swachhata Hi Seva” campaign as a transformative, community-led movement that elevates cleanliness from an individual responsibility to a collective civic duty and social commitment. The study highlights how the campaign mobilizes diverse community groups, institutions, and local governance structures to actively …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique
Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 7–12 Read article
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A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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How Beagle View of OWASP Top-10 Can Restrict the Optimal Web-App Security: The Security Ladder for Optimal Posture
Abstract: Is OWASP Top-10 good enough to ensure that your web application is secure enough? When it comes to application security, many of us in the information security community, are generally overwhelmed with the OWASP Top-10. Even when we deliberate with developers, OWASP Top-10 is on top of our agenda, and surprisingly the only agenda in many discussions. The approach adopted for this paper is two-pronged: Secondary data – Open source, …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 19–39 Read article
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Optimizing Mango Harvest Timing in the Nasik Region (Maharashtra, India) by CNNs (Residual Network 101)
Abstract: The determination of optimal harvest timing is one of the most critical decisions in mango production, directly affecting postharvest quality, market value, transportation resilience, and export readiness. In regions such as Nashik, Maharashtra—one of India’s major fruit- producing belts—the climatic variability, cultivar differences, monsoon patterns, and market- driven pressures make accurate harvest timing essential. Traditional maturity assessment relies on subjective visual inspection, specific gravity, or destructive testing, each of which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 Read article
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Implement Explainable Machine Learning to Improve Conductivity in Polymer-CNT Nanocomposites: Supporting Adaptive, Flexible, and Long-Lasting IoT Wrap-Around Electronics Applications
Abstract: The rapid growth of Internet of Things (IoT) technologies requires electronic components that are adaptable, lightweight, and durable, and that can continue to function well in diverse contexts and circumstances. Polymer–carbon nanotube (CNT) nanocomposites have become interesting choices for these kinds of uses because they are more flexible, conduct electricity better, and can be made to fit specific needs. However, improving conductivity in these heterogeneous systems remains a major challenge …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 238–254 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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A multi-index remote sensing analysis for Characterizing water stress, and environmental indicators in Girnar Wildlife Sanctuary, Gujarat, India
Abstract: Water scarcity is a critical concern in arid and semi-arid regions, with implications for ecological stability, public health, and sustainable resource management. The Girnar Wildlife Sanctuary, Gujarat, presents a case where ecological fragility intersects with cultural and religious pressures. This study employs satellite remote sensing and GIS-based approach to characterize water stress parameters within the sanctuary. Key spectral indices along with Land Use and Land Cover (LULC) were integrated through …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 1–11 Read article
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Counter Terrorism Prediction and Risk Evaluation (C-TRIP)
Abstract: The global landscape in the 21st century is marked by complex and evolving security challenges, none more pressing than the threat of terrorism. Acts of terror have left a profound impact on societies, economies, and governments worldwide, underscoring the critical importance of effective counter terrorism strategies. The “Counter Terrorism Prediction and Risk Evaluation (C-TRIP)” represents a significant stride in addressing this ever-pressing challenge. In a time marked by global security …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 14–24 Read article
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Stakeholder’s Influence on Design-Construction Planning
Abstract: The design phase requires several interactions between the client and the architect as compared to other phases. Major decisions on the project were finalized during this design phase with the inadequate involvement of the forthcoming stakeholders—fabricators, contractors and vendors. Further, fragmentation in design and construction phase had led to redesign and rework during the construction execution. Additionally, this fragmentation had design solutions that had not involved constructability issues, which resulted …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 34–41 Read article
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Object Avoidance Car
Abstract: AbstractComputerization is the formation of innovation and its application with the end goal to control and screen the generation and conveyance of different products and enterprises. It performs undertakings that were already performed by people. Robotization is being utilized in various zones, for example, fabricating, transport, utilities, protection, offices, tasks and of late, data innovation. Robotization is developing quickly which additionally pulls in the group. A hearty vehicle following framework …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 35–39 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Study of technical and economic assessment of solar-assisted and thermoelectric air-conditioning technologies
Abstract: This study presents an integrated technical and economic assessment of solar-assisted absorption and thermoelectric air-conditioning technologies for residential cooling applications. A comprehensive methodology combining mathematical modelling, experimental characterization of thermoelectric modules, numerical simulation, and economic optimization was developed to evaluate the performance of both cooling systems. The solar-assisted system employs single-effect LiBr–H₂O absorption chillers operating under water-cooled and air-cooled configurations, simulated using TRNSYS and Engineering Equation Solver (EES), while the …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 Read article
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
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Traffic Sign Detection and Recognition Using Deep learning based- Convolutional Neural Network Algorithm
Abstract: The concept of Deep Convolutional Neural Organizations (CNNs) is a quickly arising new zone for Automatic traffic sign detection and recognition among the few master frameworks, such as independent driving and driver assistance. Here, in this paper, for traffic sign detection, we have utilized another methodology that uses a newly developed identification calculation and an RGB-based tone thresholding procedure. Results of the proposed identification and acknowledgement approaches are assessed on …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 1, 2021 · pp. 24–29 Read article
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Artificial Intelligence-Based Optimization of Mechanical and Biocompatible Properties in Polymer Composite Implants
Abstract: Artificial Intelligence (AI) has already become a ground-breaking tool of streamlining polymer composite implants to enhance both mechanical strength and biocompatibility simultaneously. This paper recommend an AI-based multi-objective optimization model, which integrates the selection of materials, structural modelling, and biological evaluation. The in vitro biocompatibility indicators, including cytotoxicity and cell adhesion, can be used to model mechanical behavior, e.g. stress-strain behavior and fatigue behavior. To arrive at an optimal material …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach
Abstract: This study introduces a new method aimed at improving the direct assessment technique used for assessing students in the context of ABET accreditation. The traditional direct assessment method has long been utilized for ABET accreditation, involving steps such as goal identification, assessment planning, selection of assessment instruments, data collection and analysis, interpretation and evaluation, and feedback and improvement. While this approach has served as a valuable tool for evaluating student …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 12–27 Read article
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A Nation in Disarray: Communal Conflicts and Socio-political Stability in Nigeria
Abstract: This paper investigated communal conflicts and socio-political stability in Nigeria. The Nigerian state has witnessed a lot of cataclysms arising from misunderstanding or disarticulation of interest between or among communities and this has affected the political stability of the State. Methodologically, the study adopted secondary data which was analyzed through content analysis. The Frustration and Aggression theory was adopted as the framework for analysis. The study observed that land disputes, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 28–35 Read article