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502 articles for “operations research”
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Drone Safety Protocols Developing and Implementing Safety Procedures
Abstract: The increasing utilization of drones across various sectors, including agriculture, logistics, surveillance, and recreational activities, necessitates the establishment of robust safety protocols to mitigate risks associated with their operation. This study explores the development and implementation of comprehensive safety procedures for drone operations, focusing on both regulatory compliance and technological advancements. The study emphasizes how crucial it is to comprehend the legal frameworks set forth by aviation authorities, including the …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 44–49 Read article
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Hardware Solution for LVRT Enhancement Techniques in DFIG - A Review
Abstract: With the advancement of wind power technology, penetration of wind power to power systems has increased significantly. Grid codes require that the wind generators should remain connected for specified time even under low voltage conditions. Stricter grid code requirements are now necessary to assure system stability and reliability due to the growing integration of wind power into contemporary power networks, which is being pushed by the quick development of wind …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 59–73 Read article
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Adaptive Hospitality: Designing Modular Hotel Rooms for Multi-Functional Use in Urban Micro Hotels
Abstract: This research investigates the concept of adaptive hospitality through the lens of modular design, focusing on the creation of multi-functional hotel rooms in urban micro-hotel settings. With the rise in urban populations and increasing scarcity of land, hospitality design must adopt innovative spatial strategies that prioritize flexibility, efficiency, and user experience The research explores how modular and transformable design solutions can respond to the spatial constraints of dense urban environments. …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 39–51 Read article
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High Efficiency Linear Motion Using Sequential Coil Electromagnetic Propulsion Train
Abstract: The Electromagnetic Propulsion Train project efforts on developing a model that proves linear motion using exactly controlled electromagnetic forces. Dissimilar conventional railway systems that depend on mechanical drives, traction motors, and wheel–rail friction, this model uses a coordinated arrangement of electromagnets positioned along the track to generate attractive and repulsive forces, which together produce the essential propulsion. This method reduces dependence on mechanical movement and highlights the possible of magnetic …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 32–39 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Leveraging Management Frameworks and Academia-Industry Collaboration for Enhanced Efficiency and Productivity in Startups
Abstract: Startups play a maternal role in the getaway of innovation and subsequently, economic growth, but all the while have a plethora of challenges against operational efficiency and productivity. This research thereby proceeds to leverage management frameworks on two of the difficult periods in a startup's lifespan: pre-opening and post-opening. The pre-opening phase has been characterized by emphasis upon strategic planning and market analysis. The industry dynamics, competitive positioning, or issues …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 7–14 Read article
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A Study to Assess the Knowledge and Practice of Self-Care Management Among Post-Operative Orthopaedic Patients in Selected Hospitals at K.G.F
Abstract: This study aimed to assess the level of knowledge and practice regarding self-care management among post-operative orthopedic patients using a non-experimental descriptive research design. A total of 60 post-operative orthopedic patients were selected through purposive sampling from a hospital in Kolar Gold Fields. Data were collected using a standardized checklist developed by Printz, Foster Kent, O’Leary, Robin, and Foster (1989), followed by an assessment of patients’ knowledge and practice related …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Digital Transformation in Public Transport Management
Abstract: The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
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Developed an Approach to Monitor the Technical Conditions of the Wheels by Measuring the Rolling Stock-track Forces
Abstract: With the rapid development of railway transportation, there is a growing need to improve the method of measuring the impact force exerted by rolling stock on the rail track. Monitoring the technical conditions of the rail track and wheels is crucial. This research aimed to investigate the improvement of existing systems for wheel monitoring during operation and propose a method to develop rolling stock diagnostic systems while the train is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 23–34 Read article
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Predictive Maintenance in Semiconductor Systems: Insights from Machine Intelligence and Data-Driven Methods
Abstract: With the fast-paced development of semiconductor technology comes the need to focus on device reliability, or how long devices will function and the likelihood of devices having operational issues. Predicting failures and avoiding downtime with the implementation of timely, actionable, and data-driven maintenance strategies are essential to insure devices function sustainably within predetermined performance levels. The implementation of predictive maintenance within artificial intelligence and machine learning technologies will provide the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
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A case study on the application of TPM techniques in the manufacturing industry
Abstract: The steel sector has developed dramatically during recent years, driven by technical breakthroughs, competitive challenges, and changing client requirements. Consumers now place increasing focus on cost effectiveness, shorter delivery lead times, and consistently excellent product quality, driving industrial organizations to continually strengthen their operational performance. Adopting structured quality and maintenance systems has become crucial for maintaining competitiveness and attaining operational excellence in response to these difficulties.With a focus on enhancing …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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Industrial Waste Challenges and Green Manufacturing Practices: Enhancing Small and Medium-sized Enterprises (SME’s) Sustainability
Abstract: This study investigates green-manufacturing practices affects the lasting growth of Small and Medium-sized Enterprises (SMEs). The article examines how SMEs' ecological, communal, and financial sustainability performance can facilitate in improving by implementing Soft Total Quality Management (TQM) practices. The research adds to the body of data by emphasizing the value of using a comprehensive Total Quality Management (TQM) strategy to support sustainable growth in Small and Medium-sized Enterprises (SMEs). The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 693–698 Read article
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Optimizing Airline Efficiency Using Big Data and Predictive Analytics
Abstract: Recent technological advancements have resulted in the generation of vast volumes of data across industries, including the airline sector, supporting operational control and service quality. Big Data Analytics (BDA) enables organizations to analyze large and complex datasets to derive actionable insights that support informed decision – making and superior operational performance. This review paper systematically analyzes twenty relevant research studies to explore the application of Big Data Analytics (BDA) within …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article
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Challenges and Opportunities in the Catalytic Conversion of CO₂ to Value-Added Chemicals
Abstract: The catalytic conversion of CO2 into value-added chemicals presents a promising strategy for tackling the dual challenges of greenhouse gas emissions and the sustainable production of chemicals. This process transforms CO2, a major contributor to climate change, into useful products such as methanol, formic acid, and hydrocarbons. Such an approach not only helps mitigate CO2 levels in the atmosphere but also generates economically valuable products, thereby supporting both environmental and …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 30–35 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Modelling of Wind-Wave Misalignment for Floating Offshore Wind Turbines
Abstract: The influence of the combined effects of wind and waves onto the performance of a floating offshore wind turbine (FOWT) is analyzed. A study of the wind conditions relative to the position of the aerodynamic rotor has been made, analyzing how the angle of incidence of the wind (angle of attack) varies with the wind direction and the inclination of the wind turbine mast as a consequence of the undulatory …
Published in Journal of Offshore Structure and Technology Read article
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Pesticidal Pollution Due to Soybean Farming in Sehore District of Madhya Pradesh
Abstract: Worldwide, agricultural areas, including the Sehore district of Madhya Pradesh, India, are growing concerned about pesticide pollution. This research aims to determine the extent and effect of pesticide pollution around the region's soybean Farming. In the Sehore district, soybean is an important agricultural product and a revenue generator for the Government. Pesticides are used extensively to control pests and illnesses which could harm the soybean farm. The study used various …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 10–15 Read article
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Smart Contracts in Supply Chain Management: A Blockchain Perspective
Abstract: In recent years, blockchain technology has emerged as a transformative force capable of enhancing transparency, security, and efficiency across various industries. Supply chain management is one area where blockchain integration has a lot to offer. This paper explores the application of blockchain technology within supply chain systems, focusing on its potential to streamline operations, reduce fraud, and enhance traceability. By leveraging the decentralized and immutable nature of blockchain, stakeholders can …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 10–18 Read article
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Strategic Optimization of CNC Machining in Production Systems: A Managerial Review of Methods, Metrics, and Industry 4.0 Integration
Abstract: Computer numerical control (CNC) machining has significantly influenced modern production systems by enabling higher efficiency, quality, and sustainability. As industrial operations strive for leaner production and strategic competitiveness, optimization of machining parameters—including cutting speed, feed rate, depth of cut, and tool path strategies—has emerged as a cornerstone of production planning. This review evaluates the optimization methodologies developed from 2015 to 2025, spanning traditional mathematical models to artificial intelligence (AI)-driven metaheuristic …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 25–30 Read article