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206 articles for “decision making”
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Edge AI-Based Smart Passenger Protection Systemwith Accident Severity Classification andAutonomous SOS Communication
Abstract: This project presents the design and implementation of an Edge AI-Based Smart Passenger Protection System to enhance passenger safety during hazardous situations inside vehicles. The system integrates an MQ-2 gas sensor, an impact sensor, an Edge AI-enabled microcontroller, a two-channel relay module, and a buzzer to provide intelligent and autonomous safety responses in real time. The gas sensor continuously monitors the air quality inside the vehicle cabin, while the Edge …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Electric Vehicle Integration to Stabilize the Grid by Improving Power Quality
Abstract: This paper presents power quality improvement in terms of voltage and frequency regulation for electric vehicles connected to the grid, with a focus on Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) action. Efficient management of power flow is required to regulate voltage and ensure reliability, which helps to enhance grid stability. The main aim is to optimize the power flow in both directions to improve grid stability and reduce losses. Here, a …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 2, 2026 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Getting Rid of Carbon: A New Direction for the Chemical Industry
Abstract: The chemical industry is a major contributor to global greenhouse gas emissions due to its reliance on fossil-based feedstocks, energy-intensive processing routes, and long-lived capital infrastructure. Achieving international climate targets therefore requires deep decarbonisation across the entire chemical value chain, a transition complicated by technological limitations, economic risks, and systemic operational barriers. This article critically evaluates key emission-reduction pathways, including electrification of process heat, substitution of fossil resources with bio-based …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 52–61 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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AN INTEGRATED COMPUTER-AIDED PROCESS PLANNING SYSTEM FOR THE MANUFACTURING OF A LEAF SPRING
Abstract: Computer-Aided Process Planning (CAPP) is a key enabling technology for integrating product design and manufacturing in a Computer Integrated Manufacturing (CIM) environment. This paper presents the development and implementation of an integrated, feature-based CAPP system for the manufacturing of an automotive leaf spring assembly. The proposed system bridges the gap between CAD and shop-floor activities by directly mapping design features to manufacturing operations. High-level manufacturing features such as base profiles, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 10–23 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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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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Evaluating the Role of Urban Green Spaces in Enhancing Neighborhood Livability: A Case Study of Vellayambalam
Abstract: Urban green spaces (UGS) constitute vital elements of sustainable urban systems, contributing significantly to ecological stability, social well-being, health benefits, and economic resilience. This study aims to evaluate the contribution of UGS to neighborhood livability in Vellayambalam, Trivandrum, by analyzing their environmental, social, and economic functions. The study includes combined geographical analysis, field survey, observation, and perspective study. Using maps helps to analyze the spatial distribution, accessibility, and ecological performance …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 1, 2026 · pp. 41–51 Read article
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Artificial Intelligence Applications for Sustainable IoT Systems: A Systematic Review and Future Directions in Environmental Sustainability
Abstract: This paper will be a systematic review of the Integration of Artificial Intelligence and the Internet of Things (IoT) in sustainable systems, towards the prospects for them Addressing environmental challenges. The review focuses on AI examples here include recognition AI, explainable AI, among others. The patterns are important for safety, security, and efficiency in Urban landscapes. It describes the functions of with this program, interoperability and openness are achieved. FIWARE …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 27–35 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Abstract: Traffic jam and safety at the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It is capable of identifying and differentiating the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Inclusive Design in Urban Planning Overcoming Barriers and Building Equitable Spaces
Abstract: The purpose of this study is to critically examine how inclusive design principles can be systematically integrated into urban planning to create accessible, equitable, and resilient urban environments for diverse populations. It focuses on ensuring that urban spaces respond to the needs of people across socioeconomic strata, age groups, gender identities, and physical and cognitive abilities, thereby strengthening social cohesion and everyday urban life. The overarching objective is to identify …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 1, 2026 · pp. 18–40 Read article
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AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
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Intensive Patient Care at Home Using IoT and Cloud
Abstract: All nations acknowledge that every individual has the right to maintain excellent health throughout their life and to take all necessary steps to keep improving. A person's productivity can be significantly impacted by their health. Everyone is happier and more productive when an employee is in good health, which benefits the company as a whole. Recent technological advancements have made a significant contribution to the healthcare sector. Internet of Things …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 28–35 Read article
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Enhancing Gender and Social Inclusion in Renewable Energy Initiatives in Africa: Best Practices for Community Engagement and Capacity Building
Abstract: Renewable energy projects in Africa present a unique chance to tackle energy deprivation and deep-rooted social disparities at the same time. Nonetheless, even with swift expansion in renewable energy implementation, gender and social inclusion are frequently neglected in project planning and execution, reducing their developmental effectiveness. Women, rural populations, individuals with disabilities, and other marginalized groups still encounter obstacles to engagement, regarding both decision-making and access to the advantages of …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 11, Issue 2, 2025 · pp. 1–10 Read article
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Vaccine Literacy: A Review on Structured Teaching Approaches in COVID-19 Immunization Campaigns
Abstract: The COVID-19 pandemic highlighted the critical role of public health education in promoting vaccine acceptance and combating misinformation. As global immunization efforts faced challenges due to vaccine hesitancy and knowledge gaps, structured teaching programs emerged as a key strategy to improve vaccine literacy. This review explores the effectiveness of structured educational interventions in enhancing knowledge and shaping attitudes toward COVID-19 vaccination. Drawing from a range of studies conducted across different …
Published in International Journal of Immunological Nursing · Vol. 11, Issue 2, 2025 · pp. 24–29 Read article
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Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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AI's Influence on Social Interactions
Abstract: Artificial Intelligence (AI) shows rapid transformational powers in numerous industries while creating profound changes to how people interact with each other. The continuing evolution of AI technologies that include machine learning and natural language processing together with robotics system transforms interpersonal communication in personal and professional domains. This study examines different ways that Artificial Intelligence influences social activities through its impact on human communication and emotional relationships and social connections …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 17–27 Read article
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Mechanical and Thermal Performance Comparison of Nylon 6 and PET Spur Gears via Fusion 360 Finite Element Simulation
Abstract: *Author for CorrespondenceSiddesh BE-mail: [email protected] Student, Department of Mechanical Engineering, University B.D.T College of Engineering, Davanagere, Karnataka, India. Received Date: October 29, 2025Accepted Date: November 07, 2025Published Date: November 17, 2025 Citation: Siddesh B. Mechanical and Thermal Performance Comparison of Nylon 6 and PET Spur Gears via Fusion 360 Finite Element Simulation. International Journal of Mechanics and Design. 2025; 11(2): 1–7p. Abstract Polymer gears are increasingly used in engineering applications …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article