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117 articles for “real world condition”
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AI and Sensor Systems Revolutionizing Intoxication and Smoking Pre- Detection
Abstract: In an increasingly interconnected and safety-conscious world, the pervasive issues of intoxication and uncontrolled smoking continue to pose significant threats to public health, safety, and productivity. From impaired driving incidents to workplace accidents, and from chronic health conditions linked to smoking to the risk of fires, the societal and economic costs are staggering. However, a new frontier in preventative technology is emerging: sophisticated AI and sensor-based systems designed for the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 3, 2025 · pp. 14–25 Read article
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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E-Empire: Brake & Acceleration In E-Cycle
Abstract: As e-cycles continue to gain momentum as an eco-friendly and efficient mode of transportation, understanding their key mechanical and electronic systems becomes even more vital. The report delves deeply into the nuances of braking mechanisms and acceleration technologies, emphasizing their roles in enhancing both safety and performance. By comparing mechanical disc brakes with hydraulic systems, it highlights the distinct advantages of each. For instance, hydraulic brakes, known for their superior …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 Read article
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Driver Anti-Sleep Alarming and Protection
Abstract: Road accidents due to driver drowsiness is one of the biggest problems worldwide, which kills thousands of people every year. Fatigue slows the reaction time, reduces the concentration, and, most importantly, impairs the judgment, thus making drowsy driving as dangerous as drunk driving. To reduce such accidents, various technologies have been employed to develop driver anti-sleep devices. These include sensor-based detection, camera-based eye monitoring, EEG analysis, and real-time alert systems. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Smart Bio-Polymer Composite Systems for Sustainable Bio-Polymer Composite Media for Enhanced Pollutant Removal in Constructed Wetland Systems Using Machine Learning
Abstract: Constructed wetlands are widely used for wastewater treatment due to their low cost and ecological compatibility; however, their efficiency in removing emerging contaminants remains limited. This study presents the development of biodegradable polymer-based composite materials integrated into wetland filtration systems to enhance pollutant removal efficiency. Bio-polymers combined with natural fillers such as biochar and clay were synthesized and evaluated under simulated wetland conditions. The results demonstrate improved adsorption capacity, increased …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 190–200 Read article
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Swastham: The Healthcare Ecosystem
Abstract: In the modern, fast-paced world, ensuring prompt and efficient healthcare services has become more crucial than ever. The demand for accessible, timely, and high-quality healthcare is constantly growing, and this project seeks to address this need by introducing a comprehensive healthcare ecosystem. This integrated platform is designed to optimize healthcare delivery and significantly enhance patient outcomes by incorporating advanced digital solutions. The system will allow users to conveniently schedule appointments …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 01–07 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 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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The Burden of Empirical Therapy: Analyzing the Predominance of Broad-Spectrum Antibiotic Usage in Lower Respiratory Tract Infections
Abstract: Lower respiratory tract infections (LRTIs) remain one of the leading causes of morbidity and hospitalization worldwide, particularly among older adults, immunocompromised individuals, and patients with chronic respiratory disorders. These infections include conditions such as community-acquired pneumonia, hospital-acquired pneumonia, bronchitis, and acute infective exacerbations of chronic lung disease, all of which often require rapid clinical intervention. Because microbiological confirmation of the causative pathogen frequently takes 48–72 hours, clinicians generally initiate empirical …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Development and Thermal-Soiling Performance Evaluation of Boron-Nitride Reinforced Polymer Nanocomposite Coatings for Solar Photovoltaic Applications
Abstract: Surface heating, dust buildup, and weakening triggered by ultraviolet (UV) light all have a vast effect on the long-term performance of solar photovoltaic (PV) modules. These issues all lower power conversion efficiency in real-world open-air circumstances. A nanocomposite coating built on fluoropolymer (FEP) that is reinforced with hexagonal boron nitride (h-BN) nanoparticles is invented by this study to enhance thermal dissipation, optical transmission, and resistance to dirt at the same …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 218–223 Read article
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Effect of Blunt Truncation in an Aerospike Nozzle
Abstract: Aerospike nozzles are gaining attention as a more advanced alternative to conventional bell nozzles, mainly because they can perform efficiently across a wide range of altitude conditions. Unlike traditional converging–diverging nozzles, aerospike designs naturally adjust to changes in ambient pressure, allowing the exhaust flow to expand more effectively. This results in better thrust performance under varying operating conditions, making them a strong candidate for future aerospace propulsion systems. In this …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Real-Time Object Detection and Tracking in Traffic Surveillance: Implementing Algorithms That Can Process Video Streams for Immediate Traffic Monitoring
Abstract: The rapid growth in urban development and traffic congestion calls for adopting high standards of traffic surveillance systems for monitoring. This paper reviews the current advancement and future trends of real-time object detection and tracking technology and its implications for traffic surveillance. Conventional approaches to traffic monitoring can provide more or less accurate data, but they are not easily scalable and cannot cope with rapidly changing conditions typical within urban …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 18–39 Read article
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Firing a Laser into the Sky Diverts Lightning Offering Greater Protection to Installations
Abstract: Lightning bolts cause thousands of deaths every year worldwide. Since Benjamin Franklin’s invention of lightning rods made almost 300 years ago, the technology has not been changed even today. The same Franklin lightning rods are used on top of the buildings to steer lightning down to the ground so that they don’t pass through the buildings, and damage the structure or electrocute people. Researchers have recently developed a new type …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 2, 2023 · pp. 46–56 Read article
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Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 Read article
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A study on Parametric and Non-Parametric Statistical Tools
Abstract: This research report provides a brief overview of the most recent research techniques. The field of the research process has seen a resurgence of attention due to recent advancements in academia. Professors, Ph.D. candidates, researchers, investigative officers, and university students comprise the demographic of this research article. The article will become an essential part of your research papers, projects, and reports for citations due to future obligations. This study is …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 10–31 Read article
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AI Application in the Creation of Medications for COPD
Abstract: The crippling lung condition known as chronic obstructive pulmonary disease (COPD) is typified by a continuous restriction of airflow, which results in increased respiratory dysfunction and a reduced quality of life. The rising incidence of COPD worldwide emphasizes the pressing need for innovative pharmaceutical approaches to address the illness. Even though COPD care has advanced significantly, most current medications concentrate on symptom relief rather than disease change. This gap in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 01–05 Read article