Basu Dev Shivahare
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View article: Retraction notice to “BSDN-HMTD: a blockchain supported SDN framework for detecting DDoS attacks using deep learning method” [Egypt. Inform. J. 27 (2024) 100515]
Retraction notice to “BSDN-HMTD: a blockchain supported SDN framework for detecting DDoS attacks using deep learning method” [Egypt. Inform. J. 27 (2024) 100515] Open
View article: MPFAN: A Novel Multiscale Network for Brain Tumor MRI Classification
MPFAN: A Novel Multiscale Network for Brain Tumor MRI Classification Open
Introduction Accurate classification of brain tumours using MRI scans is vital for early diagnosis and treatment. However, conventional deep learning models often require complete MRI sequences, which can prolong scan times and lead to pat…
View article: A multimodal machine learning model for bipolar disorder mania classification: Insights from acoustic, linguistic, and visual cues
A multimodal machine learning model for bipolar disorder mania classification: Insights from acoustic, linguistic, and visual cues Open
View article: Expression of Concern: “BSDN-HMTD: A blockchain supported SDN framework for detecting DDoS attacks using deep learning method” [Egypt. Infor. J. 27 (2024) 100515]
Expression of Concern: “BSDN-HMTD: A blockchain supported SDN framework for detecting DDoS attacks using deep learning method” [Egypt. Infor. J. 27 (2024) 100515] Open
View article: Analysis of security and privacy challenges of smart health and sensing systems
Analysis of security and privacy challenges of smart health and sensing systems Open
The sensor, as the primary element, is regarded as playing a crucial role in smart health systems. Various parameters of human health are capable of being sensed by it. The integration of medical and biosensors with wireless or wired commu…
View article: Machine Learning Algorithms for Image Classification: A Comparative Review
Machine Learning Algorithms for Image Classification: A Comparative Review Open
In the realm of computer vision, one of the most important challenges is image categorization. Its goal is to assign semantic labels to photographs based on a predetermined set of categories, and it does this via a process called semantic …
View article: Impact and Implications of Quantum Computing on Blockchain-based Electronic Health Record Systems
Impact and Implications of Quantum Computing on Blockchain-based Electronic Health Record Systems Open
Aims This study will investigate the integration of quantum computing and blockchain technology of EHR systems, evaluating the potential and major vulnerabilities of the developed blockchain platforms. In addition, through this evaluation,…
View article: Automated brain tumor diagnostics: Empowering neuro-oncology with deep learning-based MRI image analysis
Automated brain tumor diagnostics: Empowering neuro-oncology with deep learning-based MRI image analysis Open
Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. Magnetic Resonance Imaging (MRI) is the…
View article: RETRACTED: BSDN-HMTD: A blockchain supported SDN framework for detecting DDoS attacks using deep learning method
RETRACTED: BSDN-HMTD: A blockchain supported SDN framework for detecting DDoS attacks using deep learning method Open
The surge in Distributed Denial of Service (DDoS) attacks within SDN environments demands more potent defense strategies. While Moving Target Defense (MTD) holds promise, current MTD approaches against DDoS suffer from security gaps due to…
View article: Enhancing sports image data classification in federated learning through genetic algorithm-based optimization of base architecture
Enhancing sports image data classification in federated learning through genetic algorithm-based optimization of base architecture Open
Nowadays, federated learning is one of the most prominent choices for making decisions. A significant benefit of federated learning is that, unlike deep learning, it is not necessary to share data samples with the model owner. The weight o…
View article: A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT
A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT Open
The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolution…
View article: Detection of Parkinson disease using multiclass machine learning approach
Detection of Parkinson disease using multiclass machine learning approach Open
Parkinson’s Disease (PD) is a prevalent neurological condition characterized by motor and cognitive impairments, typically manifesting around the age of 50 and presenting symptoms such as gait difficulties and speech impairments. Although …
View article: A Healthcare System Employing Lightweight CNN for Disease Prediction with Artificial Intelligence
A Healthcare System Employing Lightweight CNN for Disease Prediction with Artificial Intelligence Open
Introduction/Background This research introduces the EO-optimized Lightweight Automatic Modulation Classification Network (EO-LWAMCNet) model, employing AI and sensor data for forecasting chronic illnesses within the Internet of Things fra…
View article: Reviewing the Impact of Machine Learning on Disease Diagnosis and Prognosis: A Comprehensive Analysis
Reviewing the Impact of Machine Learning on Disease Diagnosis and Prognosis: A Comprehensive Analysis Open
Aim This study aimed to explore how machine learning algorithms can enhance medical diagnostics through the analysis of illness imagery and patient data, assessing their effectiveness and potential to improve diagnostic accuracy and early …
View article: Delving into Machine Learning's Influence on Disease Diagnosis and Prediction
Delving into Machine Learning's Influence on Disease Diagnosis and Prediction Open
Introduction/ Background Medical diagnoses have increasingly depended on digitized images obtained through cutting-edge technology. These algorithms offer a promising avenue to transform diagnostic processes in healthcare, with their appli…
View article: Employing deep learning and transfer learning for accurate brain tumor detection
Employing deep learning and transfer learning for accurate brain tumor detection Open
View article: A hybrid deep CNN model for brain tumor image multi-classification
A hybrid deep CNN model for brain tumor image multi-classification Open
The current approach to diagnosing and classifying brain tumors relies on the histological evaluation of biopsy samples, which is invasive, time-consuming, and susceptible to manual errors. These limitations underscore the pressing need fo…
View article: Context based ranking strategies for renowned instructional methodologies
Context based ranking strategies for renowned instructional methodologies Open
View article: An enhanced multimodal fusion deep learning neural network for lung cancer classification
An enhanced multimodal fusion deep learning neural network for lung cancer classification Open
View article: A Survey on Exploring the Evolution and Trends of Web Development
A Survey on Exploring the Evolution and Trends of Web Development Open
Web development has undergone significant evolution over the past decade, driven by advancements in technology, changing user expectations, and the proliferation of internet usage. This research paper presents a comprehensive review of the…
View article: A Survey on Exploring the Evolution and Trends of Web Development
A Survey on Exploring the Evolution and Trends of Web Development Open
Web development has undergone significant evolution over the past decade, driven by advancements in technology, changing user expectations, and the proliferation of internet usage. This research paper presents a comprehensive review of the…
View article: Efficient COVID-19 CT Scan Image Segmentation by Automatic Clustering Algorithm
Efficient COVID-19 CT Scan Image Segmentation by Automatic Clustering Algorithm Open
This article addresses automated segmentation and classification of COVID-19 and normal chest CT scan images. Segmentation is the preprocessing step for classification, and 12 DWT-PCA-based texture features extracted from the segmented ima…
View article: Multilevel Thresholding based Image Segmentation using Whale Optimization Algorithm
Multilevel Thresholding based Image Segmentation using Whale Optimization Algorithm Open
Whale Optimization Algorithm (WOA) was proposed by Seyedali Mirjalili and Andrew Lewis in 2016. WOA is nature-inspired, meta-heuristic (randomization and deterministic) algorithm, which is being used to solve various single objective, mult…