Relevant bibliographies by topics / Convolu- tional Neural Networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Convolu- tional Neural Networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Convolu- tional Neural Networks.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Convolu- tional Neural Networks"

1

G, Madhuri. "Early Detection of Alzheimers Disease using Deep Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31392.

Full text
Abstract:
Alzheimer’s disease (AD) poses a significant challenge to global healthcare systems due to its progressive nature and impact on patient’s lives. Accurate and early detection of AD is crucial for timely intervention and management. In this paper, we propose the use of deep learning models, including Convolutional Neural Networks (CNNs), MobileNet, and VGG16 for the classification of Magnetic Resonance Imaging (MRI) scans into different AD stages. Index Terms—Alzheimer’s disease , Deep Learning , Convolu- tional Neural Networks(CNN) , MobileNet , VGG16 , MRI scans
APA, Harvard, Vancouver, ISO, and other styles
2

Ashok Kumar, K., Vamsi Pulikonda, and Narendarnath Sai. "Road Fault Detection by Using Convolutional Neural Networks." Journal of Computational and Theoretical Nanoscience 17, no. 8 (2020): 3374–77. http://dx.doi.org/10.1166/jctn.2020.9188.

Full text
Abstract:
Bad conditions of road due to the potholes are one of the major cause of road damage and accidents to vehicles. Recently, with the increase in pollution and vehicular traffic, most of roads are being filled with many small and large potholes in most of places in the country. Detecting potholes manually is a time-consuming task and labour-intensive task, automating this process which saves a lot of time and money. Hence, Many different methodologies have been implemented that is from reporting to authorities manually to the use of laser imaging. Though all of these techniques have some disadvan
APA, Harvard, Vancouver, ISO, and other styles
3

Neeti Yadav. "Deep Learning-Based Detection and Classification of Rice Diseases Using Residual Networks (ResNet50)." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 4 (2025): 567–73. https://doi.org/10.51583/ijltemas.2025.140400060.

Full text
Abstract:
Abstract—Timely detection and classification of crop diseases are essential for maintaining agricultural productivity as well as the quality of food. Many traditional disease identification methods are labor-intensive, time-consuming, and human-error- prone. Recently developed techniques based on computer vision and deep learning add efficient, automated alternatives for disease detection. This work proposes a deep learning-based system utilizing a Residual Network (ResNet50) for automatically diagnosing and classifying rice diseases, a specialized Convolu- tional Neural Network (CNN) form. Ri
APA, Harvard, Vancouver, ISO, and other styles
4

Tian, Hongyu, Wenming Cao, and Qiyu Ran. "Residual Network with Triple-Attention Mechanisms for Knee Osteoarthritis Severity Classification." BIO Web of Conferences 174 (2025): 03023. https://doi.org/10.1051/bioconf/202517403023.

Full text
Abstract:
As the quality of life continues to improve, people are more concerned about all types of diseas- es. Knee osteoarthritis (KOA) is a type of arthritis that is characterized by limited movement, joint stiffness and pain. This degenerative disease leads to gradual wear and tear of the knee joint and in severe cases, dis- ability. Conventional radiographic diagnosis remains challenging due to the subtle morphological changes in early-stage KOA that often resemble age-related physiological variations. Meanwhile, applying convolu- tional neural networks to the prediction of KOA has become an effect
APA, Harvard, Vancouver, ISO, and other styles
5

Muhammad Husnul Hayat. "Klasifikasi Citra Klon Teh Seri GMB Menggunakan Convolu-tional Neural Network (CNN) dengan Arsitektur Resnet, Vggnet, dan Alexnet." Jurnal Sains Teh dan Kina 1, no. 2 (2022): 26–39. http://dx.doi.org/10.22302/pptk.jur.jstk.v1i2.168.

Full text
Abstract:
Produktivitas daun teh di Indonesia dari waktu ke waktu semakin menurun. Hal ini disebabkan oleh ketidakcocokan dalam memilih klon teh seri GMB yang digunakan. Klon teh seri GMB terdiri dari GMB 1 sampai dengan GMB 11. Keterbatasan karyawan Pusat Penelitian Teh dan Kina (PPTK) dan para petani teh dalam mengklasifikasi klon teh seri GMB untuk membedakan jenis antar klon yang secara morfologi memiliki tingkat kemiripan yang begitu dekat menjadi alasan kurang optimal dalam memilih klon teh seri GMB yang cocok untuk digunakan. Pada penelitian ini, dirancang suatu sistem secara visual yang mampu me
APA, Harvard, Vancouver, ISO, and other styles
6

Torralba, Edwin M. "Fibonacci Numbers as Hyperparameters for Image Dimension of a Convolu-tional Neural Network Image Prognosis Classification Model of COVID X-ray Images." International Journal of Multidisciplinary: Applied Business and Education Research 3, no. 9 (2022): 1703–16. http://dx.doi.org/10.11594/ijmaber.03.09.11.

Full text
Abstract:
In recent years, convolutional neural networks (CNNs) have achieved amazing success in a variety of image categorization tasks. However, the architecture of CNNs has a significant impact on their performance. The designs of the most cutting-edge CNNs are frequently hand-crafted by experts in both CNNs and the topics under investigation. As a result, it's tough for users who don't have a lot of experience with CNNs to come up with the best CNN architecture for their individual image categorization challenges. This work investigates the application of the Fibonacci numbers to efficiently solve p
APA, Harvard, Vancouver, ISO, and other styles
7

Berezsky, Oleh M., and Petro B. Liashchynskyi. "Comparison of generative adversarial networks architectures for biomedical images synthesis." Applied Aspects of Information Technology 4, no. 3 (2021): 250–60. http://dx.doi.org/10.15276/aait.03.2021.4.

Full text
Abstract:
The article analyzes and compares the architectures of generativeadversarialnetworks. These networks are based on convolu-tional neural networks that are widely used for classification problems. Convolutional networks require a lot of training data to achieve the desired accuracy. Generativeadversarialnetworks are used for the synthesis of biomedical images in this work. Biomedi-cal images are widely used in medicine, especially in oncology. For diagnosis in oncology biomedical images are divided into three classes: cytological, histological, and immunohistochemical. Initial samples of biomedi
APA, Harvard, Vancouver, ISO, and other styles
8

Selvarajah, Jarashanth, and Ruwan Nawarathna. "Identifying Tweets with Personal Medication Intake Mentions using Attentive Character and Localized Context Representations." JUCS - Journal of Universal Computer Science 28, no. (12) (2022): 1312–29. https://doi.org/10.3897/jucs.84130.

Full text
Abstract:
Individuals with health anomalies often share their experiences on social media sites, such as Twitter, which yields an abundance of data on a global scale. Nowadays, social media data constitutes a leading source to build drug monitoring and surveillance systems. However, a proper assessment of such data requires discarding mentions which do not express drug-related personal health experiences. We automate this process by introducing a novel deep learning model. The model includes character-level and word-level embeddings, embedding-level attention, convolu- tional neural networks (CNN), bidi
APA, Harvard, Vancouver, ISO, and other styles
9

Selvarajah, Jarashanth, and Ruwan Nawarathna. "Identifying Tweets with Personal Medication Intake Mentions using Attentive Character and Localized Context Representations." JUCS - Journal of Universal Computer Science 28, no. 12 (2022): 1312–29. http://dx.doi.org/10.3897/jucs.84130.

Full text
Abstract:
Individuals with health anomalies often share their experiences on social media sites, such as Twitter, which yields an abundance of data on a global scale. Nowadays, social media data constitutes a leading source to build drug monitoring and surveillance systems. However, a proper assessment of such data requires discarding mentions which do not express drug-related personal health experiences. We automate this process by introducing a novel deep learning model. The model includes character-level and word-level embeddings, embedding-level attention, convolu- tional neural networks (CNN), bidi
APA, Harvard, Vancouver, ISO, and other styles
10

Aakash, S. Amutha, D. Nandhini, and Ansh. "Classification and Validation of Tomato Leaf Disease Using Deep Learning Techniques." International Journal on Engineering Artificial Intelligence Management, Decision Support, and Policies 1, no. 1 (2024): 41–60. https://doi.org/10.63503/j.ijaimd.2024.9.

Full text
Abstract:
Tomatoes are regarded as fruits since they fit the botanical definition of a fruit because they are the fleshy parts of a plant that enclose its seeds. There are approximately 10 different kinds of diseases for a tomato plant, which is huge in number and can create huge losses for the farmers. This paper focuses on the classification of tomato plant leaf diseases using Convolution Neural Net-work (CNN) a deep learning technique that is especially employed for image recognition and pixel data processing activities. CNN has been used to identify whether the given photo of the plant is of a healt
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Convolu- tional Neural Networks"

1

Nguyen, Tien Dat. "Vizualizace konceptů pomocí generování obrazu." Master's thesis, 2016. http://www.nusl.cz/ntk/nusl-346787.

Full text
Abstract:
Title: Toward concept visualization through image generation Author: Tien Dat Nguyen Department: Institute of Formal and Applied Linguistics Supervisors: Pavel Pecina (Charles University in Prague), Angeliki Lazaridou, Raffaella Bernardi, Marco Baroni (University of Trento), Abstract: Computational linguistic and computer vision have a common way to embed the semantics of linguistic/visual units through vector representation. In addition, high-quality semantic representations can be effectively constructed thanks to recent advances in neural network methods. Nevertheless, the under- standing o
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Convolu- tional Neural Networks"

1

Shu, Caijuan, and Chuanzhi Zang. "Research on bearing fault diagnosis based on multi-scale convolu-tional neural networks." In 2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL). IEEE, 2024. http://dx.doi.org/10.1109/cvidl62147.2024.10603503.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Huang, Wenming, Jinqiang Leng, and Zhenrong Deng. "CSF images fast recognition model based on improved convolu-tional Neural Network." In 2015 International Conference on Automation, Mechanical Control and Computational Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/amcce-15.2015.97.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Convolu- tional Neural Networks' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography