Search
137 articles for “severity classification”
-
CLA0D1T—Auditing AWS Services S3 and IAM
Abstract: The swift embrace of cloud computing has revolutionized how organizations handle and provide their services, delivering unmatched scalability, flexibility, and cost-effectiveness. However, this shift has also introduced a range of new security challenges and vulnerabilities, particularly concerning data access and identity management. This project specifically aims to address these issues within the context of Amazon Web Services (AWS), focusing on auditing the Simple Storage Service (S3) and Identity and Access …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 1–12 Read article
-
Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
-
A Review on Loan Approval Prediction Based on Machine Learning Techniques
Abstract: The banking industry has also benefited greatly from technological advancements. An increasing number of individuals are submitting loan applications on a daily basis. When deciding which loan applicants to approve, the bank must take certain rules into account. The bank needs to choose the best one for approval based on certain characteristics. The process of carefully verifying every person and recommending them for loan approval is laborious and fraught with …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 1–11 Read article
-
Iot Based Automated Garbage Segragation System And Level Indication To Corporation
Abstract: The issue of maintaining clean cosmopolises is becoming increasingly important as smart cosmopolises emerge. The amount of scrap generated is excessive, and the labor-intensive physical labor required to make it is extremely tiresome. As technology advances in all areas, automated methods might be promoted to assist with the scrap pile. The purpose of the trash segregator is to make it easier to dispose of collected waste. Three lockers—one for wet …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article
-
A Study on Determination of Seismic Susceptibility in Existing Buildings in Ward No-18 of Dhaka North Using Rapid Visual Screening (RVS) Method
Abstract: The research work presents a comprehensive analysis of the Rapid Visual Screening (RVS) method applied to 200 buildings in Ward No. 18 of Dhaka North City. The study focused on assessing the seismic vulnerability of these structures, categorizing them into damage grades based on the RVS evaluation. Strikingly, the findings revealed that 191 out of the 200 buildings were classified as damage grade 5, signifying severe structural deficiencies. In contrast, …
Published in International Journal of Climate Conditions · Vol. 1, Issue 1, 2024 · pp. 28–37 Read article
-
Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
-
A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
-
The Analysis of Deep Learning-Based Methods for Identifying Diabetic Retinopathy
Abstract: Diabetic retinopathy (DR) is a degenerative eye condition resulting from diabetes mellitus, where high blood glucose levels lead to lesions on the retina. This condition is considered the leading cause of blindness among working-age diabetic patients, particularly in developing countries. As the disease is irreversible, the treatment aims to preserve the patient’s current vision. Early detection is crucial for effective management of DR to maintain vision. One of the main …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 15–31 Read article
-
Developing an Assessment Protocol in Ayurvedic Research for Hyperemesis Gravidarum with Special Reference to Garbhini Chardi
Abstract: Garbhini Chardi (nausea and vomiting in pregnancy) is described in Ayurvedic texts as one of the Vyakta Garbha Lakshanas – early physiological signs indicating pregnancy. However, when this symptom becomes excessive, persistent, or distressing, it may transition from a normal event to a pathological condition, requiring timely intervention to safeguard maternal and fetal health. In advanced stages, it leads to day-to-day incapacitation, weight loss, dehydration, and metabolic disturbances – clinically …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 44–61 Read article
-
A Review on Segmentation Approaches for Brain Tumor Detection
Abstract: It is commonly said statement ‘the health is wealth’, so if you are healthy then everything is with you. Although everyone takes care of their health in their own ways but some diseases are not under the control of the human being.The “tumor” is one of the crucial diseases which is till now, out of control, in which brain tumor is again a serious issue. The most crucial job which …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 6–12 Read article
-
Clinical Profile of Dengue Patients who had a Prior Infection with the Covid 19 Virus in a Tertiary Care Centre
Abstract: This cross-sectional analytical study conducted in a tertiary care center aims to investigate the clinical profile of Dengue virus-infected patients with a prior history of COVID-19 within the last three years. Dengue, a prevalent tropical disease, ranges from mild fever to severe conditions like hemorrhagic fever and shock syndrome. The study utilizes the World Health Organization's 2009 classification for Dengue and delineates the febrile, critical, and recovery phases of infection. …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 1, 2024 · pp. 34–38 Read article
-
Working Profession and Posture as Risk Factors in A Sample Population of Lower Limb Varicose Veins- An Observational Study
Abstract: AbstractPrimary varicose veins are a typical manifestation of chronic venous insufficiency. The aetiology of varicose veins is still incompletely understood despite the fact that it is a very common disease affecting all ages from teenagers to elderly people. The prevalence of varicose veins varies substantially in different parts of the world. The present study was designed to investigate the various risks factors and clinical manifestations of the occurrence of lower …
Published in Research and Reviews : Journal of Surgery · Vol. 6, Issue 3, 2017 · pp. 17–21 Read article
-
Evaluation and Analysis of Fire load in Storage Facility of Manufacturing Industry
Abstract: In recent years, industrial and residential fire is drawing more and more concerns. According to official government data, there have been numerous fire accidents in the industrial sector, leading to both casualties and significant property damage. Of particular concern are certain buildings in the pharmaceutical industry where large quantities of highly flammable and toxic substances are stored in confined spaces. This paper aims to examine the amount of flammable and …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 2, 2023 · pp. 1–7 Read article
-
Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
-
Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
-
Adverse Drug Reactions: A Global Health Challenge
Abstract: Adverse drug reaction (ADR) is an unfavorable event with a causal connection to the medication. It is an undesirable event occurred by a pharmacological substance. They are a major cause of Mortality all over, they are classified into augmented, chronic, bizarre, Delayed based on the severity of the damage they caused The primary causes of adverse drug reactions (ADRs) are drug overdose, drug– drug interactions, genetic variations, and individual characteristics …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 01–06 Read article
-
Participatory Risk Management Model for Construction Projects Using Expert Systems
Abstract: Construction involves processing of numerous interdependent risks. But risk management in the sector is still largely intuitive and mere system compliance. Meticulous efforts towards a system-based approach is lacking. These lapses emphasized the need for developing an easy to use participatory model for risk management at construction project sites. A model that would not only enhance the effectiveness of the risk management process but also generate essential knowledge that can …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 17–24 Read article
-
Soil Erosion Estimation modelling by Revised Universal Soil Loss Equation and SWAT on GIS platform
Abstract: Soil erosion is a threat to the economy of countries whose economy is dependent on Agriculture. It is very difficult to stop the soil erosion however if the causes of soil erosion and the quantum of it are calculated then with few appropriate soil conservation measures it can be reduced. This study is an attempt to estimate soil erosion by RUSLE & SWAT, in which urgent need of conservation measures …
Published in Journal of Water Resource Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 56–69 Read article
-
Digital Resurrection: Restoring Fragile Documents with OCR
Abstract: In creating a typical Optical Character Recognition (OCR) system, several steps are involved, such as preprocessing, segmentation, feature extraction, and classification. Preprocessing, which is a particularly interesting and challenging aspect of Document Analysis and Recognition (DAR), deals with converting scanned or photographed images containing machine-printed or handwritten text, including numbers, letters, and symbols, into a format that the system can understand. Segmentation is a crucial task in any OCR system, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 29–35 Read article
-
Preparation of New Analytical Reagents and Study of Chromatographic Separation
Abstract: There are various types of diagnostic reagents in the laboratory, which involve many specializations in analytical chemistry and detection of pollution levels in river water and environmental pollution, as well as in the preparation of reagents that form as reagents and complexes with elements. Several techniques are shown here in an endless flow, and it is difficult Simply classify them according to a certain principle.; From a methodological point of …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 1, 2024 · pp. 44–58 Read article