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311 articles for “detection limit”
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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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A Detailed Survey of Machine Learning Applications, Methods, and Future Prospects in Agriculture
Abstract: Agriculture is undergoing a digital transformation driven by machine learning (ML) and artificial intelligence. The integration of ML techniques with data from sensors, drones, satellites, and IoT devices has enabled precision agriculture, early disease detection, optimized resource use, and improved yield prediction. This paper presents a comprehensive review of machine learning applications in modern agriculture, covering key areas such as crop monitoring, soil analysis, irrigation scheduling, pest, and disease detection, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 39–45 Read article
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Knowledge, Awareness, and Perceptions of Cervical Cancer and Screening Among Women in Rural South India
Abstract: Background: Cervical cancer is still a major public health problem in South India, with rising figures of morbidity and mortality, in spite of progress in prevention, early detection, and treatment. Cervical cancer is the second leading cause of death due to cancer among Indian women, with around 123000 new cases and 67000 deaths every year. The delay in diagnosing CVD and low participation in screening programs is due to poor …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Remote Sensing and GIS-Based Approaches for Soil Salinization Assessment: A Comprehensive Review
Abstract: Soil salinization, a critical environmental challenge, significantly impacts land productivity, agricultural yields, and contributes to desertification, particularly in arid and semi-arid regions. Early detection and effective management of soil salinity are essential for sustainable agriculture and land management. Remote sensing (RS) and geographic information systems (GIS) have emerged as indispensable tools for mapping, monitoring, and analyzing soil salinity over vast areas. RS provides multi-temporal and multi-spectral data that helps identify …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Comparative Analysis Between Librosa and OpenSMILE
Abstract: This research work focuses on comparative study of Librosa, a python-based library, and openSMILE, a C++ toolkit, with python bindings used in audio speech analysis. Librosa is ideal for beginners due to its simple structure and flexibility with strong integration with machine learning frameworks like TensorFlow and PyTorch. On the other hand, OpenSMILE is ideal for speech-centric tasks like speech-emotion recognition or paralinguistic studies, offering a wide range of pre-defined …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 06–10 Read article
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A review on polyhouse monitoring system
Abstract: The integration of Internet of Things (IoT) technology in agriculture has revolutionized traditional farming practices, offering innovative solutions to enhance productivity, sustainability, and resource efficiency. This study explores the role of loT-based systems in smart agriculture, focusing on applications such as environmental monitoring, automated irrigation, crop health prediction, and precision farming. The reviewed systems utilize advanced sensors to monitor parameters like temperature, humidity, soil moisture, and light intensity, transmitting real-time …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Scientific Trajectories in Indian Virology: Innovations, Institutions, and Impact
Abstract: India's substantial research on epidemiology, virology, and public health measures has helped the world understand viral infections better. This article gives an overview of virus research in India, starting with early studies on arboviruses and enteroviruses and going all the way up to current studies on new and re-emerging pathogens including SARS-CoV-2, Nipah, and Zika viruses. Over the decades, India has built a rich legacy in virus research through pioneering …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 11–20 Read article
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Survey of Techniques for Clustering and Classification of ECG using WEKA
Abstract: ECG analysis can be done for automatic detection of abnormality in cardiac activity. This can be helpful in generating alert for saving a precious life. Various techniques have been proposed in literature for feature detection and classification such as; fuzzy logic methods, artificial neural networks (ANN), and support vector machines (SVM), wavelet transform, Hilbert transform, etc. Recently, numerous researches and techniques have been developed for analyzing the ECG signal on …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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IoT Grass Cutting Robot
Abstract: The demand for efficient and sustainable lawn care solutions has escalated with the increasing urbanization and the need for environmentally friendly practices. In response to this, our group embarked on the development of an innovative IoT-enabled grass cutting robot. This project aims to address the limitations of traditional lawn mowing methods by integrating modern technology to automate and optimize the maintenance process. The proposed grass cutting robot leverages Internet of …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 41–52 Read article
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A Concurrent Estimation of Phytoconstituents Piperine, Quercetin and Kaempferol Present in Siddha Polyherbal Formulation Kabasara Kudineer by Rp-Hplc
Abstract: A straightforward, accurate, and precise technique was developed and validated for the simultaneous determination of Quercetin, Kaempferol, and Piperine in the polyherbal formulation Kabasura Kudineer. The sample was chromatographed using a C18 column (150x4.6mm, 5u) with a mobile phase composed of Acetonitrile and Ortho phosphoric acid in a 45:55 ratio, flowing through the column at a rate of 1ml/min. The detection wavelength for Quercetin, Kaempferol, and Piperine was set at …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 1–9 Read article
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Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts
Abstract: The Vehicular Accident Detection, Prevention, and Rescue Alert System is a comprehensive solution aimed at bolstering road safety by integrating multiple advanced technologies. It merges drowsiness detection, alcohol level monitoring, and instant emergency alerts to mitigate accidents and expedite rescue efforts. Modern computer vision and machine learning techniques are used by the Drowsiness Detection Alarm to track driver conduct and spot drowsiness indicators. Upon detecting drowsiness, an immediate alarm is …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 7–11 Read article
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Advancement and Experimental Investigation of Voice Coil Actuator utilizing Flexural Bearing
Abstract: Flexural components are very ideal over regular inflexible body systems where exceptionally exact and exact movement is vital in the scope of microns. To accomplish spotless and exact movement, we propose another outline of voice loop actuator. Fitting loop and magnet is chosen viewing the most extreme power as connected. Computer aided design demonstrate is readied and limited component examination (FEA) is done to decide the solidness. Voice coil engine …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 40–45 Read article
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ED-SS based Cognitive Radio (CR) over Rayleigh Fading Channel and the Performance of Optimized Cooperative Spectrum Sensing Technique for Modern Wireless Communications
Abstract: Cognitive Radio (CR) has indeed been shown to be a superior way to address the issue of spectrum scarcity in which every wireless system occupies the limited bandwidth spectrum (LBS) allotting to the licensed users. Spectrum holes, which are approximated using spectrum sensing, occur when this LBS is empty in a certain location at a specific moment (SS). The SS is the main objective of CR and various SS techniques …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 2, 2022 · pp. 1–12 Read article
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Flying Faces: An Automated Recognition System using Raspberry Pi and Drone
Abstract: Facial recognition technology has gained populari- ty in recent years and is used in various applications, such as security and surveillance. However, traditional facial recogni- tion systems are limited in their ability to capture images from different angles and perspectives. In this paper, facial recogni- tion system is presented that utilizes drone technology to cap- ture images from multiple angles for better accuracy. The sys- tem consists of a Raspberry …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Inter-satellite Optical Wireless Communication (IsOWC) System Design: A Study
Abstract: AbstractLaser communication links in space are attractive alternatives to present day microwave links. Space communication as employed in satellite to satellite link is traditionally performed using microwaves. High capacity inter-satellite communication crosslinks will permit more efficient and more reliable operation of future satellite systems. The mass, power consumption and size of optical transceiver module will be smaller than that of a microwave transceiver. On the other hand, inter-satellite communication is …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 20–24 Read article
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Fire Safety in Healthcare Facilities: An Indian Perspective
Abstract: Fire protection and safety measures in hospitals are of utmost importance to ensure the safety of patients, staff, and visitors. Due to the patients' limited mobility, hospitals are more susceptible to fire disasters. Short-circuits, basements being used as storehouse, inappropriate storage of flammable liquids, improper power supply load, false ceiling panel lined with thermocol, faulty electric wirings, and overheating leading to burning of wires are some of the common causes …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 8–12 Read article