Papers by MD. ISMAIL HOSSAIN SADHIN
International Journal of Computer and Information System (IJCIS), 2024
Presently available plagiarism detection technologies are primarily restricted to string-level co... more Presently available plagiarism detection technologies are primarily restricted to string-level comparisons between potentially original texts and suspiciously plagiarized materials. The objective of this research is to enhance the precision of plagiarism identification by integrating Natural Language Processing (NLP) methods into current methodologies. Our proposal is an external plagiarism detection framework that uses various natural language processing (NLP) approaches to examine a set of original and suspicious papers. The techniques not only analyze text strings but also the text's structure, taking text relations into consideration. Preliminary findings using a corpus of short paragraphs that have been plagiarized demonstrate that NLP approach increase the correctness of current methods.
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 2024
For understanding and interpreting human emotions expressed in textual data as public opinion, re... more For understanding and interpreting human emotions expressed in textual data as public opinion, reviews, or customer feedback, sentiment analysis is a vital section of natural language processing. By analyzing these sentiments, any organization can adopt proper strategies to enhance its effectiveness. Despite of being one of the most widely spoken languages globally, Bangla remains relatively underexplored in this domain. Rarely research has been conducted for Bangla Sentiment Analysis. In this work, sentiment analysis has been done based on the Bangla language, using a dual-method approach. Initially, sentiment expressions in Bangla text were analyzed with the sequential model. Following this, a comparative analysis is conducted using Support Vector Machines (SVM), that enhanced the accuracy of sentiment classification. The results reveal a notable improvement in accuracy and performance with the SVM approach.
Malaysian Journal of Science and Advanced Technology
Lung cancer is among the leading cause of death among men and women. Early detection of lung canc... more Lung cancer is among the leading cause of death among men and women. Early detection of lung cancers can increase the possibility of survival amongst patients. The preferred 5-years survival rate for lung most cancers sufferers will increase from 16% to 50% if the disease is detected on time. Computerized tomography (CT) is frequently used for diagnosis and is more efficient than X-ray. However, the images need to be reviewed by a qualified physician who specializes in interpreting the CT scan. This may lead to misinterpretation and conflicting reports among physicians. Therefore, a lung cancer detection system that uses image processing methods to categorize lung cancer in CT images will be more consistent and precise. This paper presents a lung cancer detection system using the Artificial Intelligence (AI) method. The study uses Median, Gaussian, and Watershed segments to reduce noisy and shredded CT images. Then, the Weight Optimization Neural Network method was used to improve a...
International Journal of Computer and Information System (IJCIS)
Lung cancer appears to be the common reason behind the death of human beings at some stage on the... more Lung cancer appears to be the common reason behind the death of human beings at some stage on the planet. Early detection of lung cancers can growth the possibility of survival amongst human beings. The preferred 5-years survival rate for lung most cancers sufferers will increase from 16% to 50% if the disease is detected in time. Although computerized tomography (CT) is frequently more efficient than X-ray. However, the problem regarded to merge way to time constraints in detecting this lung cancer concerning the numerous diagnosing strategies used. Hence, a lung cancer detection system that usage of image processing is hired to categorize lung cancer in CT images. In image processing procedures, procedures like image pre-processing, segmentation, and have extraction are mentioned intimately. This paper is pointing to set off the extra precise comes approximately through making use of distinctive improve and department procedures. In this proposal paper, the proposed method is buil...
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Papers by MD. ISMAIL HOSSAIN SADHIN