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92 articles for “early detection”
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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 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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A Study to Assess the Knowledge among Mothers of under-Five Children Regarding Selected Behavioural Problems in Urban Community
Abstract: Children are our future and our most precious resources. The quality of tomorrow’s world and perhaps even its survival will be determined by the development of children today. Normal children are healthy, happy and well adjusted. This adjustment is developed by providing basic emotional needs along with physical and physiological needs for the mental wellbeing. Early childhood is the critical period in behaviour formation. Behavioural problems refer to the deviation …
Published in International Journal of Pediatric Nursing · Vol. 5, Issue 1, 2019 · pp. 12–27 Read article
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Analysing Seismo-electromagnetic Waves through Wavelet Transformation
Abstract: This research has presented a sophisticated methodology for studying lithosphere-ionosphere coupling phenomena, emphasising the identification of pre-seismic activity through seismo-electromagnetic signal processing. The application of an advanced electric field monitoring device, coupled with the precision of the Discrete Wavelet Transform (DWT), has allowed us to uncover nuanced patterns in the ULF range, specifically related to seismic events during the Kumamoto Earthquakes. The detailed statistical analysis further supports the significance of …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 10–17 Read article
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Inhibitors Used to Control Corrosion of Mild Steel in Crude Oil Recovery
Abstract: Industries first select construction materials on the basis of safety and cost-effectiveness. Physical requirements can be satisfied easily but corrosion effects seriously complicate the selection of suitable materials. The corrosion-mitigations can be enhanced by the coating of organic and inorganic substance but its costs must also be considered. The cost of material depends upon design and physical requirements of the material. The attractive facial appearance makes the material expensive. Initially …
Published in International Journal of Composite and Constituent Materials · Vol. 7, Issue 1, 2021 · pp. 18–39 Read article
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General Health Check-up, Health Care Model using CNN and Internet-of-Medical Things
Abstract: Many people may believe that undergoing a comprehensive medical check-up is unnecessary when they feel perfectly healthy. However, this perception is mistaken. Regular health check-ups are essential to maintain overall well-being and to detect potential health issues early, enabling proactive steps to prevent them from worsening. Such check-ups are valuable for both individuals in good health and those with existing medical conditions, as they provide insight into the progress of …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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A Study of Segmentation Techniques for Diagnosing Melanoma in Dermoscopic Images
Abstract: Skin cancer remains among the deadliest forms of cancer, with an average survival rate ranging from 18% to 20%. Detecting and segmenting melanoma early is a challenging yet crucial undertaking. To effectively segment the lesions, several studies have presented automated and standard techniques. Likewise, traditional methods for segmentation frequently require inputs from humans and cannot be applied in automated systems. The aim of this article is to provide a comparative …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article
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A Study to Assess the Effectiveness of Video-assisted Teaching Programme on Knowledge Regarding Breast Self-examination among Adolescent Girls
Abstract: Introduction: Breast self-examination may be a perfect, safe, effective, and cost-free method which can be done by every woman at her leisure with little training. It is definitely detected by adolescent girls in order that the priority is given to teaching all girls how and when to examine their breasts. Regular breast self-examination can identify any abnormal changes in the breasts to determine a good prognosis. If the young groups …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 7, Issue 1, 2021 · pp. 1–8 Read article
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Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods
Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 Read article
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Clinical Evaluation of Mycobacterium Tuberculosis Culture and Multiplex PCR for the Characterization of Multiple Drug Resistance Tuberculosis in Dehradun, Uttarakhand, India
Abstract: Multiple drug resistance (MDR) tuberculosis timely diagnose is of utmost clinical relevance and needs to be diagnose at initial stages for the proper treatment. The current study was done to detect the multiple genes for MDR tuberculosis (TB) in clinical isolates by molecular tools. 186 clinical samples were considered out and subjected for AFB smear preparation, Nested PCR (IS6110) for Mycobacterium tuberculosis complex detection and MDR TB PCR targeting rpoB, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 3, Issue 2, 2017 · pp. 26–31 Read article
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Machine Learning Approach for Analysis of Ionosphere Parameters for Earthquake Precursors
Abstract: This research explores the relationship between seismic events and predictive indicators, focusing on machine learning-based strategies for early earthquake prediction. It dissects existing prediction approaches, highlighting ionospheric anomalies' correlation with seismic occurrences, particularly preceding earthquakes of magnitudes higher than 5.5. By identifying a lack of comprehensive long-term analyses in the field, the study emphasizes future trends in machine learning-driven EQ-PD techniques using GPS-TEC data for real-time anomaly detection. The methodology …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 37–46 Read article
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Clash Detection in Appropriate Technology Building Using Building Information Modelling (BIM)
Abstract: Building Information modelling (BIM) is a highly efficient software in Architecture, Engineering and construction (AEC industry). Clash detection technique is used to minimize the error as well as to minimize the cost and time. Especially in 2D drawings, lots of problems emerges at the time of execution. One of the best tools used in this project is clash detection tool which coordinates the building system in 3D models. This clash …
Published in International Journal of Construction Engineering and Planning · Vol. 6, Issue 1, 2020 · pp. 15–24 Read article
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Advancing Maize Leaf Disease Detection: A Machine Learning Approach
Abstract: Every day, countless grains and fruits are cultivated around the world. To keep up with the growing population’s needs, farmers are constantly adopting new and advanced techniques. Furthermore, the development and application of new technologies enable the quick and simple detection of plant diseases. Identifying plant diseases at an early stage is crucial to minimizing their effects on crop productivity and quality. Traditional diagnostic methods often rely on expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 17–25 Read article
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Implications for Closing the Gaps in Awareness and Treatment to Enhance Care for Rheumatic Heart Disease
Abstract: Rheumatic heart disease (RHD) remains a major preventable cause of cardiovascular morbidity and mortality, particularly in low- and middle-income countries (LMICs) of Asia and Africa. Originating from inadequately treated acute rheumatic fever (ARF) following Group A streptococcal infection, RHD predominantly affects children and young adults and continues to impose a substantial clinical, social, and economic burden. Global Burden of Disease estimates indicate that over 38 million people were affected worldwide …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 41–44 Read article
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Beyond the Classroom: Harnessing the Power of Android for Early Childhood Education Development
Abstract: The point of this inquiry is to address, like, you know, the issue of more prosocial behavior in children, both at domestic and in open spaces. This was distinguished through, like, perceptions and interviews with guardians, who, you know, accept that the need of their interest in their children’s prosocial improvement is, like, due to their restricted understanding. To progress, like, early childhood prosocial behavior, we created an Android-based Early …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 22–29 Read article
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“Role of Selecting Active Fire Protection Systems for Industrial Warehouses”
Abstract: Selecting the right Active Fire Protection (AFP) systems for industrial warehouses is crucial for protecting employees, assets, and the surrounding community from the devastating effects of fires. AFP systems are designed to detect and suppress fires or provide a means of egress during an emergency. They encompass systems inclusive of fire sprinklers, fire alarms, and the smoke control systems. Detection systems play a critical role in active fire protection by …
Published in International Journal of Housing and Human Settlement Planning · Vol. 9, Issue 1, 2023 · pp. 17–25 Read article
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Detection of Brain Tumor Using K-means Clustering Algorithm
Abstract: A brain tumor is a dangerous medical illness that, if not treated promptly, can be fatal. Therefore, it becomes essential to find the tumor early on in order to organize therapy as soon as possible. A brain tumor is the result of the growth of abnormal cells in the brain. Brain tumors come in many different forms. The majority of brain tumors are malignant (cancerous); however, some are benign (noncancerous). …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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Prevalence and Socio-Cultural Determinants of Uterine Prolapse Among Women and Its Impact on Quality of Life
Abstract: In India, every five minutes, a woman dies of complications related to pregnancy and child birth. Among these, utero-vaginal prolapse (UP) is the most common clinical condition, especially amongst parous women. In India, almost one quarter, out of the total gynaecological admissions, suffer from UP. The general objectives of this study were to determine the prevalence and socio-cultural determinants of Uterine Prolapse at Kalinga Hospital, Bhubaneswar, during a three month …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 1, Issue 2, 2014 · pp. 14–25 Read article
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SOBER “An Alcohol Detection and Car Engine Locking System”"
Abstract: Drinking Driving is a major issue of road accidents all over the world; 60 plus of the accidents are caused by it. The number of deaths due to crapulous driving is assumed to be larger than imagination. The model device aims to help the stoner from driving drunk and reduce the number of accidents and cases being due to drunk driving. . Alcohol impairs drivers’ cognitive and motor functions, reducing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 14–19 Read article