Volume 9, Issue 2 (2023)

Table of contents

• Published Subscription 22 Aug 2023

  Detection of Brain Tumor Using K-means Clustering Algorithm

  By Dhinakaran M., Isha Jaiswal, Ishita Rawat, Jatin Belani

  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 →

• Published Subscription 25 Aug 2023

  An In-depth Exploration: Unveiling the Computational Resources Utilized in Cancer Research

  By Arif Md. Sattar, Anujaa Pimpalgaonkar, Prince Kanhaiyya, Sumit londhe, Mritunjay Kr. Ranjan, Shravani Pathak, Vaishnav Lad

  Abstract: It is a major challenge leading to mass morbidity and mortality in cancer, despite the efforts and clinical trials in the past. Cancer is a very crucial field of research that directly concerns human life that requires early identification, diagnosis, prognosis, and therapeutics. The resources and web servers play very important roles in cancer genomics and medical image analysis. Computational intelligence (is a set of computational methodologies involving design, application, …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 10–20 Read article →

• Published Subscription 25 Oct 2023

  Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques

  By Balakrishna Kancherla, Tapan Kumar Das, Dwiti Krishna Bebarta

  Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 Read article →

• Published Subscription 23 Nov 2023

  Vehicle Number Plate Detection and Recognition System in Nigeria Using Deep Learning

  By P. C. Opara, Daniel Matthias, N. D. Nwiabu

  Abstract: With over 200 million citizens, Nigeria is one of Africa’s largest and most populous nations. It is now essential to automate traffic management due to the rising number of vehicles in the nation. With the use of a deep learning technique known as the YOLO method, the study was able to construct an automatic vehicle license plate identification system that will recognize each of the vehicle license plates when many …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 32–45 Read article →

• Published Subscription 31 Oct 2023

  Sound-based Bird Classification Using Perceptual Features and Machine Learning: A Gaussian Mixture Model

  By A. Revathi, Bysani Mahendra, Vijayakrishnan ., Nandhakumar .

  Abstract: Classification of birds based on their sound patterns and identification of bird species found in the chirping sounds of birds were experimented with using the feature extraction method. This work is beneficial in ornithology to study birds and their behavior based on their sounds. The proposed methods can automatically classify birds by different sound processing. The audio file of a bird’s sound recording is first cut into smaller samples, and …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 46–52 Read article →