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Relevant bibliographies by topics / Diseases detection system

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Academic literature on the topic 'Diseases detection system'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Diseases detection system"

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Kamble, Ms D. R., Ms Snehal Krishna Gadale, Ms Dhanashri Nitin Pawar, Ms Gauri Dhanaji Shedage, and Ms Mukti Mahajan. "Leaf Disease Detection System." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 160–64. http://dx.doi.org/10.22214/ijraset.2024.58699.

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Abstract: The agricultural sector plays a crucial role in sustaining the world's growing population. However, the prevalence of plant leaf diseases can significantly impact crop yields and quality. This project leverages the power of deep learning techniques to develop an automated system for the early detection of plant leaf diseases. By utilizing a large dataset of annotated leaf images and state-of-the-art convolutional neural networks (CNNs), this research aims to accurately identify and classify various plant leaf diseases, including but not limited to fungal, bacterial, and viral infecti

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Awal, Md Abdul, Mohammad Jahangir Alam, and Md Nurul Mustafa. "Crops Diseases Detection and Solution System." International Journal of Informatics and Communication Technology (IJ-ICT) 6, no. 3 (2017): 209. http://dx.doi.org/10.11591/ijict.v6i3.pp209-217.

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<p>The technology based modern agriculture industries are today’s requirement in every part of agriculture in Bangladesh. In this technology, the disease of plants is precisely controlled. Due to the variable atmospheric circumstances these conditions sometimes the farmer doesn’t know what type of disease on the plant and which type of medicine provide them to avoid diseases. This research developed for crops diseases detection and to provides solution by using image processing techniques. We have used Android Studio to develop the system. The crops diseases detection and solution system

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Alam, Mohammad Jahangir, Md Abdul Awal, and Md Nurul Mustafa. "Crops diseases detection and solution system." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 2112. http://dx.doi.org/10.11591/ijece.v9i3.pp2112-2120.

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<p>The technology based modern agriculture industries are today’s requirement in every part of agriculture in Bangladesh. In this technology, the disease of plants is precisely controlled. Due to the variable atmospheric circumstances these conditions sometimes the farmer doesn’t know what type of disease on the plant and which type of medicine provide them to avoid diseases. This research developed for crops diseases detection and to provide solutions by using image processing techniques. We have used Android Studio to develop the system. The crops diseases detection and solution system

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Mohammad, Jahangir Alam, Abdul Awal Md., and Nurul Mustafa Md. "Crops diseases detection and solution system." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 2112–20. https://doi.org/10.11591/ijece.v9i3.pp2112-2120.

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The technology based modern agriculture industries are today’s requirement in every part of agriculture in Bangladesh. In this technology, the disease of plants is precisely controlled. Due to the variable atmospheric circumstances these conditions sometimes the farmer doesn’t know what type of disease on the plant and which type of medicine provide them to avoid diseases. This research developed for crops diseases detection and to provide solutions by using image processing techniques. We have used Android Studio to develop the system. The crops diseases detection and solution sys

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Gupta, Sahil, Vivek Pandey, Pravesh Pandey, Mukul Verma, and Hasib Shaikh. "Leaf Disease Detection System." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1603–12. http://dx.doi.org/10.22214/ijraset.2023.50439.

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Abstract: Agricultural productivity is something on which economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is affected. For instance a disease named little leaf disease is a hazardous disease found in pine trees in United States. Detection of plant disease through some automatic technique is beneficial as it reduce

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Geethu, James1 Amala Varghese2 Ann Mariya Baby3 Anu Varghese Kodiyan4 &. Binet Rose Devassy5. "CADID (CARDIAC DISEASES DETECTION)." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [AIVESC-18] (April 26, 2018): 33–38. https://doi.org/10.5281/zenodo.1230364.

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Now a day’s Cardiac arrest is a global health concern. It is estimated that nearly half of all cardiovascular deaths worldwide are due to Cardiac arrest resulting in an estimated 4 to 6 million cases each year. Roughly half of cardiac arrest patients experience some warning signs in the week before. But it is misjudged like gastric problems or something like that. So our proposal CaDiD helps to monitor cardiac activity and detects cardiac diseases. The system displays the cardiac signal with details. So many people of India didn’t get the treatment of doctors. As half of the Indian

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Katkar, Aniruddha. "EYE DISEASE RECOGNITION SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32078.

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This paper presents an innovative system for detecting eye diseases utilizing advanced machine learning techniques. Given the increasing prevalence of eye disorders, early detection and intervention are of utmost importance. The proposed system integrates a diverse dataset comprising medical images and patient information. Deep learning algorithms are employed to extract intricate features from the dataset. These features are then input into a predictive model, facilitating accurate identification of potential eye diseases. Rigorous testing and validation demonstrate the system's performance a

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M. R., Dr Sanghavi. "Tomato Leaf Disease Detection System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33787.

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Tomato is a widely cultivated crop with significant economic importance in the agro based industry. However, tomato plants are susceptible to various diseases that can severely impact yield and quality. Early and accurate detection of these diseases is crucial for effective disease management and ensuring optimal production. In this study, we propose a novel approach that a convolutional Neural Network (CNN) for the automated detection of tomato leaf diseases. First, Convolutions is employed to reduce the dimensionality of the input data, extracting the most relevant features for disease detec

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Parbate, Pranay, Dhairyashil Thombare, Tushar Yerkal, Adarsh Varpe, and Prof Suresh Reddy. "Multiple Disease Detection System." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 997–1003. http://dx.doi.org/10.22214/ijraset.2024.59966.

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Abstract: In the realm of healthcare, the early detection of multiple diseases presents a formidable challenge but holds immense potential for improving patient outcomes. This paper proposes an integrative approach for the simultaneous detection of four prevalent diseases: heart disease, Parkinson's disease, diabetes, and skin cancer. Leveraging advanced machine learning techniques, our framework encompasses data preprocessing methods for cleaning and normalization, feature selection strategies to extract discriminative features from heterogeneous medical datasets, and ensemble classification

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Tagare, Mohammad M., Urmila R. Pol, Parashuram S. Vadar, and Tejashree T. Moharekar. "Detection of Jackfruit Leaf Disease Using Machine Learning and Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 1871–76. https://doi.org/10.22214/ijraset.2025.68592.

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Abstract: The detection of diseases in agricultural crops plays a critical role in maintaining healthy yields. Jackfruit (Artocarpus heterophyllus), a tropical fruit, is susceptible to various diseases that impact its leaves. Timely disease detection can significantly reduce crop loss and improve the quality of the harvest. This paper proposes a system for detecting jackfruit leaf diseases using machine learning (ML) and deep learning (DL) techniques. A dataset of healthy and diseased jackfruit leaf images is used to train both traditional ML algorithms (Random Forest) and DL models (Convoluti

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Dissertations / Theses on the topic "Diseases detection system"

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Camargo, Anyela. "An automatic system for the detection, diagnosis and control of plant diseases and other agents." Thesis, University of Liverpool, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426137.

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Meyer, Jacolene Bee. "Banana streak badnavirus (BSV) in South Africa incidence, transmission and the development of an antibody based detection system /." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-02092007-171659.

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Lay, Meav Lang. "Detection, Quantification and Genotyping of Epstein-Barr Virus and Human Herpesvirus-6 in Central Nervous System Demyelination and Virus-related Diseases." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9788.

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Epstein-Barr virus (EBV) and human herpesvirus-6 (HHV-6) cause infection in the immunocompetent and immunocompromised. Sensitive and accurate diagnostic tests are therefore essential. Quantitative PCR (qPCR) assays using SYBR Green I were developed for detecting and measuring EBV and HHV-6 DNA in various samples: hospitalised individuals at-risk of, or with EBV- or HHV-6- related disease; and case-control participants from the Ausimmune Study – a study of EBV and HHV-6 infection in those with first central nervous system (CNS) demyelination (a precursor to multiple sclerosis). The qPCR assays

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Адеємі, О. С. "Інформаційна технологія розпізнавання захворювань свиней за фотографією їх розтину". Master's thesis, Сумський державний університет, 2019. http://essuir.sumdu.edu.ua/handle/123456789/76712.

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Pfankuche, Vanessa Maria [Verfasser]. "Comparative investigations of different in situ hybridization methods and detection of novel viral agents causing central nervous system diseases / Vanessa Maria Pfankuche." Hannover : Bibliothek der Tierärztlichen Hochschule Hannover, 2018. http://d-nb.info/1162358998/34.

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Nixon, Christopher E. "2ND TIER ASSAY FOR THE DETECTION OF CONGENITAL ADRENAL HYPERPLASIA BY VIRGINIA’S NEWBORN SCREENING LABORATORY: STEROID PROFILE BY HPLC-MS/MS." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/6075.

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Congenital Adrenal Hyperplasia (CAH) encompasses several disorders related to disruptions in the adrenal steroid production pathway. These disruptions may cause virilization of the external female sex organs, incorrect gender assignment, precocious puberty, and in the most severe form, may cause life-threatening salt wasting and adrenal crisis if not detected and treated early in the newborn period. 17α-Hydroxyprogesterone (17-OHP) is the primary target for immunofluorescence detection of CAH from dried blood spots in newborn screening (NBS). Unfortunately, current immunoassay techniques for t

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Suh, Doug Young. "Knowledge-based boundary detection system : on MRI cardiac image sequences." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/13291.

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Hirneisen, Kirsten. "Enteric virus detection and inactivation in model food systems." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 108 p, 2008. http://proquest.umi.com/pqdweb?did=1654490301&sid=2&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Bacon, Pamela Joy. "Clinically relevant detection methods for oxidant processes in biological systems." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388820.

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Saad, Ali. "Detection of Freezing of Gait in Parkinson's disease." Thesis, Le Havre, 2016. http://www.theses.fr/2016LEHA0029/document.

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Le risque de chute provoqué par le phénomène épisodique de ‘Freeze of Gait’ (FoG) est un symptôme commun de la maladie de Parkinson. Cette étude concerne la détection et le diagnostic des épisodes de FoG à l'aide d'un prototype multi-capteurs. La première contribution est l'introduction de nouveaux capteurs (télémètres et goniomètres) dans le dispositif de mesure pour la détection des épisodes de FoG. Nous montrons que l'information supplémentaire obtenue avec ces capteurs améliore les performances de la détection. La seconde contribution met œuvre un algorithme de détection basé sur des résea

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Books on the topic "Diseases detection system"

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E, Emde Karen M., and AWWA Research Foundation, eds. Waterborne gastrointestinal disease outbreak detection. AWWA Research Foundation and American Water Works Association, 2001.

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Thakoor, Kaveri Anil. Robust, Interpretable, and Portable Deep Learning Systems for Detection of Ophthalmic Diseases. [publisher not identified], 2022.

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Tollner, E. W. Detection systems, physical properties and storage stability of apples affected with watercore disorder. USDA-ARS Appalachian Fruit Research Station, 1993.

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Askarova, Roza. Tasks for independent work and control of students ' knowledge of children's Phthisiology. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1082951.

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The textbook is prepared taking into account modern achievements of TB in accordance with the curriculum for children's Phthisiology for independent work and control of knowledge of students as an additional educational literature on the main theoretical issues, methods of detection of tuberculosis, clinical manifestations and course of tuberculosis of the respiratory system, differential diagnosis of tuberculosis with non-specific pathology of the respiratory system, complications of tuberculosis, the combination of pulmonary tuberculosis with other diseases, treatment of tuberculosis.

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United States. Congress. Senate. Committee on Health, Education, Labor, and Pensions. Subcommittee on Children and Families. Newborn screening: increasing options and awareness: Hearing before the Subcommittee on Children and Families of the Committee on Health, Education, Labor, and Pensions, United States Senate, One Hundred Seventh Congress, second session on examining what new measures may be needed to enhance current options and awareness concerning the screening of newborns to improve detection of conditions that threaten the life and long-term health of infants, including expanding state newborn screening programs and improving information sharing among screening programs and state systems of care for children with special health care needs, June 14, 2002. U.S. G.P.O., 2002.

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Detection of Endoleaks in Ct Data for Monitoring of Aaa Stents. Simon & Schuster, 2008.

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Paul, Sudip. Early Detection of Neurological Disorders Using Machine Learning Systems. IGI Global, 2019.

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Hagendorff, Andreas. Cardiac involvement in systemic diseases. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0020.

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Systemic diseases are generally an interdisciplinary challenge in clinical practice. Systemic diseases are able to induce tissue damage in different organs with ongoing duration of the illness. The heart and the circulation are important targets in systemic diseases. The cardiac involvement in systemic diseases normally introduces a chronic process of alterations in cardiac tissue, which causes cardiac failure in the end stage of the diseases or causes dangerous and life-threatening problems by induced acute cardiac events, such as myocardial infarction due to coronary thrombosis. Thus, diagno

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Dukhovny, Stephanie. Prenatal Genetics for Women with Neurology Disease. Edited by Emma Ciafaloni, Cheryl Bushnell, and Loralei L. Thornburg. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190667351.003.0006.

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The genetic evaluation of heritability of genetic disease, as well as screening of the fetus for neurologic diseases, have evolved a great deal since the 1970s. Screening and diagnostic evaluation now includes the ability to detect fetuses with anatomic abnormalities of the central nervous system and rare autosomal recessive disorders with neurologic features. Preimplantation genetic diagnosis now allows families with confirmed genetic abnormalities to utilize in vitro fertilization technologies to avoid affected pregnancies. For families that have not received a prenatal diagnosis, newborn sc

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Edoh, Thierry. Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention. IGI Global, 2018.

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Book chapters on the topic "Diseases detection system"

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Kemp, G. J., D. N. Manners, J. F. Clark, M. E. Bastin, and G. K. Radda. "A theoretical model of some spatial and temporal aspects of the mitochondrion creatine kinase myofibril system in muscle." In Detection of Mitochondrial Diseases. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6111-8_5.

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Dhiman, P., S. Wadhwa, and Amandeep Kaur. "Diseases Detection System Using Federated Learning." In Federated Deep Learning for Healthcare. CRC Press, 2024. http://dx.doi.org/10.1201/9781032694870-14.

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Piorunek, Tomasz, Magdalena Kostrzewska, Marta Stelmach-Mardas, et al. "Small Airway Obstruction in Chronic Obstructive Pulmonary Disease: Potential Parameters for Early Detection." In Respiratory System Diseases. Springer International Publishing, 2017. http://dx.doi.org/10.1007/5584_2016_208.

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Nithyaa, A. N., R. Premkumar, D. Kanchana, and Nalini A. Krishnan. "Automated Detection and Classification of Blood Diseases." In Recent Advancements in System Modelling Applications. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1035-1_34.

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Selmi, Ibtihel, Nadia Kabachi, Sana Ben Abdallah, Chirine Ghedira Guegan, and Hajer Baazaoui. "Adaptive Multi-agent-based Alert System for Diseases’ Detection." In Advanced Information Networking and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44041-1_65.

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Ding, Xi-Qin, Alexander Matveev, Anil Singh, Naoka Komori, and Hiroyuki Matsumoto. "Biochemical Characterization of Cone Cyclic Nucleotide-Gated (CNG) Channel Using the Infrared Fluorescence Detection System." In Retinal Degenerative Diseases. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0631-0_98.

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Ahsanuddin, Sofia, and Richard B. Rosen. "Flavoprotein Fluorescence in the Detection of Eye Disorders." In OCT and Imaging in Central Nervous System Diseases. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-72156-4_25.

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Ali, Rania Alhaj, Hussein Halabi, and Hani Almoallim. "Cardiovascular Diseases and Rheumatology." In Skills in Rheumatology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8323-0_16.

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AbstractThe prevalence of various cardiovascular diseases (CVD) in the different rheumatologic disorders is a very important topic. Each disease has a number of unique manifestations despite the fact that an overlap is present due to shared common risk factors, which may be related to the longer life expectancy of the recent therapeutic advances. A growing understanding of the role of inflammation and immune system in the initiation and progression of atherosclerosis as well as the early detection of cardiovascular manifestations is due to the availability and use of sophisticated noninvasive

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Deng, Songyun, Lekai Cheng, Wenlin Li, Wei Sun, Yaonan Wang, and Qiaokang Liang. "Automatic Leaf Diseases Detection System Based on Multi-stage Recognition." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87355-4_21.

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Imane, Bouchnafa, and Amnai Mohamed. "Grape and Apple Plant Diseases Detection Using Enhance DenseNet121 Based Convolutional Neural Network." In Advances in Intelligent System and Smart Technologies. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-47672-3_22.

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Conference papers on the topic "Diseases detection system"

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Garg, Rinku. "Detection of Plant Diseases by Various Artificial Intelligence Techniques." In 2024 13th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2024. https://doi.org/10.1109/smart63812.2024.10882537.

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Dioses, Isaac Angelo M., Patrick Neil Santiago, Rodelio P. Pascual, Rhowel Dellosa, Jesusimo L. Dioses, and James Bryan A. Tababa. "Detection of Philippine Rice Plant Diseases: A ResNet50 CNN Approach." In 2024 IEEE 15th Control and System Graduate Research Colloquium (ICSGRC). IEEE, 2024. http://dx.doi.org/10.1109/icsgrc62081.2024.10690946.

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Baikuvekov, Meirzhan, Aida Baikuvekova, and Daniyar Sultan. "Development of a Digital Stethoscopy System for Detection of Heart Diseases." In 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST). IEEE, 2024. http://dx.doi.org/10.1109/sist61555.2024.10629628.

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Chathuranga, Shalika, Pavithra Subhashini, and Jeeva Ekanayake. "PaddyShield: A CNN-Based Rice Leaf Diseases Detection and Management System." In 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI). IEEE, 2024. https://doi.org/10.1109/slaai-icai63667.2024.10844976.

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Mir, Taifa Ayoub, Sheifali Gupta, Sonal Malhotra, Swati Devliyal, Deepak Banerjee, and Kanegonda Ravi Chythanya. "Hybrid CNN-SVM System for Multiclass Detection of Apple Leaf Diseases." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10625178.

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Tanti, Lili, Budi Triandi, Bob Subhan Riza, Yan Yang Thanri, Juli Iriani, and Ratih Pusapasari. "Detection and Classification Model for Respiratory Diseases Using Machine Learning Techniques." In 2024 6th International Conference on Cybernetics and Intelligent System (ICORIS). IEEE, 2024. https://doi.org/10.1109/icoris63540.2024.10903882.

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Pai, Kota Sharan, Vidya Kudva, and Shrinivas Prabhu. "A Decision Support System for Detection, Analysis and Classification of Paddy Plant Diseases." In 2025 International Conference on Artificial Intelligence and Data Engineering (AIDE). IEEE, 2025. https://doi.org/10.1109/aide64228.2025.10986899.

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Ghosh, Debmitra, Soumik Chakraborty, Dibyarupa Pal, et al. "Enteric Protozoan Parasite Detection System: Linking to Neurodegenerative Diseases via the Gut-Brain Axis." In 2024 International Conference on Big Data Analytics in Bioinformatics (DABCon). IEEE, 2024. https://doi.org/10.1109/dabcon63472.2024.10919313.

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Kaushik, Pratham, and Pooja Sharma. "Deep Learning-Based Detection of Orange Diseases Using MobileNetV2 for Enhanced Agricultural Diagnostics." In 2024 13th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2024. https://doi.org/10.1109/smart63812.2024.10882535.

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Moharana, Alok Kumar, and Daxa Vekariya. "Expression of Concern for: Detection of Skin Diseases via Deep Learning using SVM Method." In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2022. http://dx.doi.org/10.1109/smart55829.2022.10703574.

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Reports on the topic "Diseases detection system"

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Kleman, Isabella. Onion storage diseases and their headspace volatiles. Faculty of Landscape Architecture, Horticulture and Crop Production Science, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.602791tdo5.

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Onion, Allium cepa, is one of the world’s most commonly produced and consumed vegetables. In order to be available year round in temperate climates onions must be stored for several months. During this time parts of the harvested weight of bulbs are lost to storage diseases, sprouting and respiration leading to loss of carbohydrates and water. Diseases developing in storage may be difficult to spot at early stages as bulbs are typically stored in large bins. However, storage diseases can change the volatile metabolite profile of the infected onions. Electronic sensors that detect the concentra

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FEDOTKINA, S. A., O. V. MUZALEVA, and E. V. KHUGAEVA. RETROSPECTIVE ANALYSIS OF THE USE OF TELEMEDICINE TECHNOLOGIES FOR THE PREVENTION, DIAGNOSIS AND TREATMENT OF HYPERTENSION. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/978-0-615-67320-2-4-22.

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Introduction. The economic losses associated with disability due to diseases of the circulatory system, as well as the costs of providing medical care to patients suffering from heart and vascular diseases, are increasing annually. The state preventive measures currently being carried out are of a delayed nature. The results of the medical examination of the population of the Russian Federation in recent years (2015-2019) indicate that the incidence of cardiovascular diseases, including hypertension, is at a fairly high level. In the middle of the last century, the Concept of risk factors for

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Ehrlich, Marcelo, John S. Parker, and Terence S. Dermody. Development of a Plasmid-Based Reverse Genetics System for the Bluetongue and Epizootic Hemorrhagic Disease Viruses to Allow a Comparative Characterization of the Function of the NS3 Viroporin in Viral Egress. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7699840.bard.

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Project Title: "Development of a plasmid-based reverse genetics system for the Bluetongue and Epizootic Hemorrhagic Disease viruses to allow comparative characterization of the function of the NS3 viroporin in viral egress". Project details: No - IS-4192-09; Participants – Ehrlich M. (Tel Aviv University), Parker J.S. (Cornell University), DermodyT.S. (Vanderbilt University); Period - 2009-2013. Orbiviruses are insect-borne infectious agents of ruminants that cause diseases with considerable economical impact in Israel and the United States. The recent outbreaks of BTV in Europe and of Epizoot

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Ozano, Kim. Interventions Aimed at Preventing, Detecting and Treating Malaria, TB and HIV in Nigeria. Institute of Development Studies (IDS), 2022. http://dx.doi.org/10.19088/k4d.2022.039.

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There is an abundance of available evidence on the effectiveness of interventions aimed at preventing, detecting and treating malaria, TB and HIV in Nigeria. The evidence suggests that future interventions concerning these three diseases should focus on health systems strengthening, considering each of the 6 WHO building blocks. Therefore, this review is structured around the building blocks for each disease, This is part of a series of reports looking into Epidemiology of Malaria, human immune deficiency virus (HIV) and tuberculosis (TB) across a set of African Nations.

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Wu, Meiye, Ryan Wesley Davis, and Anson Hatch. Portable microfluidic raman system for rapid, label-free early disease signature detection. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1222536.

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99mTc SPECT-CT, Consensus QIBA Profile. Chair Yuni Dewaraja and Robert Miyaoka. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2019. https://doi.org/10.1148/qiba/20191021.

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The quantification of 99mTc labeled biomarkers can add unique value in many different settings, ranging from clinical trials of investigation new drugs to the treatment of individual patients with marketed therapeutics. For example, goals of precision medicine include using companion radiopharmaceutical diagnostics as just-in-time, predictive biomarkers for selecting patients to receive targeted treatments, customizing doses of internally administered radiotherapeutics, and assessing responses to treatment. This Profile describes quantitative outcome measures that represent proxies of target c

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Chen, Yona, Jeffrey Buyer, and Yitzhak Hadar. Microbial Activity in the Rhizosphere in Relation to the Iron Nutrition of Plants. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7613020.bard.

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Iron is the fourth most abundant element in the soil, but since it forms insoluble hydroxides at neutral and basic pH, it often falls short of meeting the basic requirements of plants and microorganisms. Most aerobic and facultative aerobic microorganisms possess a high-affinity Fe transport system in which siderophores are excreted and the consequent Fe complex is taken up via a cognate specific receptor and a transport pathway. The role of the siderophore in Fe uptake by plants and microorganisms was the focus of this study. In this research Rhizopus arrhizus was found to produce a novel sid

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Gafny, Ron, A. L. N. Rao, and Edna Tanne. Etiology of the Rugose Wood Disease of Grapevine and Molecular Study of the Associated Trichoviruses. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7575269.bard.

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Rugose wood is a complex disease of grapevines, characterized by modification of the woody cylinder of affected vines. The control of rugose wood is based on the production of healthy propagation material. Detection of rugose wood in grapevines is difficult and expensive: budwood from tested plants is grafted onto sensitive Vitis indicators and the appearance of symptoms is monitored for 3 years. The etiology of rugose wood is complex and has not yet been elucidated. Several elongated clostero-like viruses are consistently found in affected vines; one of them, grapevine virus A (GVA), is close

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Moshura, Mariia, Yana Terleeva, and Olena Nesterova. Evaluating the performance of computer detection software implementation in triaging chest X-ray images in TB screening program in Ukraine. Public Health Center of the Ministry of Health of Ukraine, 2024. https://doi.org/10.63263/tb0000001.

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Modern technologies for diagnosing tuberculosis and effective treatment regimens contribute to the fight against the disease in various ways. In general, modern diagnostic and treatment technologies increase the chances of early detection and treatment of tuberculosis, reducing morbidity and improving quality of life. This study aimed to determine the optimal model for the implementation of computer-aided diagnostic (CAD) systems in Ukrainian TB facilities in Lviv and Sumy oblasts. The study had the following components: Data collection from TB facilities included an assessment of the current

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D’Agostino, Martin, Nigel Cook, Liam O’Connor, et al. Optimising extraction and RT-qPCR-based detection of hepatitis E virus (HEV) from pork meat and products. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.ylv958.

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Hepatitis E is an infection of the liver caused by the hepatitis E virus (HEV). HEV infection usually produces a mild disease, hepatitis E. However, disease symptoms can vary from no apparent symptoms to liver failure. There are 4 main types (genotypes) of the virus that cause concern in humans. Genotypes 1 and 2 infections are mainly restricted to humans but 3 and 4 can be identified in numerous other animal species including pigs. Transmission routes of HEV genotypes 3 and 4 have been identified to include the consumption of food products derived from infected animals and shellfish, and via

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