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View article: A Hybrid Deep Learning Framework Incorporating GBC-Optimized Attention-Based CNN and Image Processing Techniques for Accurate ECG-Based Cardiac Affliction Detection
A Hybrid Deep Learning Framework Incorporating GBC-Optimized Attention-Based CNN and Image Processing Techniques for Accurate ECG-Based Cardiac Affliction Detection Open
The necessity for effective and precise diagnostic methods to identify cardiac abnormalities has been highlighted by the rising prevalence of cardiovascular diseases. Electrocardiography (ECG), a widely used modality for assessing cardiova…
View article: Enhancing Insecticide Classification Accuracy with Modified ChemNet Architecture
Enhancing Insecticide Classification Accuracy with Modified ChemNet Architecture Open
Proper detection of insecticides is also vital since it is the determinant of agricultural safety, efficiency, environmental protection and environmental compliance. In this paper, a modified ChemNet architecture is introduced, which is mo…
View article: Utilization of High-Power LEDs at Low-Cost Non-Invasive X-ray KV Meter Detectors Design
Utilization of High-Power LEDs at Low-Cost Non-Invasive X-ray KV Meter Detectors Design Open
X-ray radiation is used to diagnose human body. In order to apply this method, two parameters are commonly used as the settings. The first is the KV value and the second is the mA value. In this case, when an error occurs in the kV setting…
View article: Adapting to Newer Hemostatic Agent Emicizumab for Major Surgery in Hemophilia A: An Experience in Neurosurgery for an Infant
Adapting to Newer Hemostatic Agent Emicizumab for Major Surgery in Hemophilia A: An Experience in Neurosurgery for an Infant Open
International audience
View article: AI-Powered Ecosystem for Multilingual Diagnostics and Adaptive Specialty Mapping
AI-Powered Ecosystem for Multilingual Diagnostics and Adaptive Specialty Mapping Open
In this paper, we propose an integrated AI-driven framework to address critical challenges in healthcare diagnostics and patient management by combining advanced natural language processing, speech recognition, and image analysis technique…
View article: Security through the Eyes of AI: How Visualization is Shaping Malware Detection
Security through the Eyes of AI: How Visualization is Shaping Malware Detection Open
Malware, a persistent cybersecurity threat, increasingly targets interconnected digital systems such as desktop, mobile, and IoT platforms through sophisticated attack vectors. By exploiting these vulnerabilities, attackers compromise the …
View article: How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks
How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks Open
As Machine Learning (ML) evolves, the complexity and sophistication of security threats against this paradigm continue to grow as well, threatening data privacy and model integrity. In response, Machine Unlearning (MU) is a recent technolo…
View article: A Comprehensive Survey of Deep Learning and Ensemble Techniques in Glaucoma Detection
A Comprehensive Survey of Deep Learning and Ensemble Techniques in Glaucoma Detection Open
Glaucoma stands as a primary contributor to irreversible blindness, necessitating precise and prompt diagnoses for effective management. Recent progress in deep learning, particularly through the use of ensemble methods involving Convoluti…
View article: Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction
Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction Open
Problem Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depen…
View article: Advanced Ensemble Learning with Pruning Techniques for Detecting DDOS Attacks in IOT Networks
Advanced Ensemble Learning with Pruning Techniques for Detecting DDOS Attacks in IOT Networks Open
IoT networks are vulnerable to Distributed Denial of Service (DDoS) attacks, which can cause network instability and compromised data integrity. In order to improve detection efficiency and accuracy, this research suggests a revolutionary …
View article: Septic Nonunion of the Tibial Shaft with Bone Defect in a Gustilo-anderson Type II Open Fracture
Septic Nonunion of the Tibial Shaft with Bone Defect in a Gustilo-anderson Type II Open Fracture Open
Introduction. Open fractures of the tibial shaft are mostly the result of high-energy trauma, the incidence is 17 to 21 per 100,000 inhabitants, represent 2% of all fractures and 36.7% of all long bone fractures in adults. More than 15% of…
View article: Enhanced Human Hitting Movement Recognition Using Motion History Image and Approximated Ellipse Techniques
Enhanced Human Hitting Movement Recognition Using Motion History Image and Approximated Ellipse Techniques Open
Recognition of human hitting movement in a more specific context of sports like boxing is still a hard task because the existing systems use manual observation which could be easily flawed and highly inaccurate. However, in this study, an …
View article: The Big Data Paradox: Challenges and Opportunities in Analytics
The Big Data Paradox: Challenges and Opportunities in Analytics Open
Big data analytics has revolutionized the way organizations extract insights from vast datasets, though it brings substantial challenges in areas like data quality, integration, processing, and security. Analyzing large volumes of data req…
View article: Pembrolizumab (Keytruda) in blockade of PD-1 Pathway to enhance tumor immunity in Oral squamous cell carcinoma
Pembrolizumab (Keytruda) in blockade of PD-1 Pathway to enhance tumor immunity in Oral squamous cell carcinoma Open
• PD-1 blockage has the potential to stop oral carcinogenesis • Pembrolizumab inhibits PD-1 by creating antigen-binding site that can hold the important epitope of PD-1 • Pembrolizumab is authorized as first line of treatment for OSCC • Pe…
View article: Whole exome sequencing in oral oncology as a diagnostic tool
Whole exome sequencing in oral oncology as a diagnostic tool Open
• Whole-exome sequencing (WES) is an advanced sequencing technique that identifies all protein-coding genes (exons) present in an individual's genome. • Whole-exome sequencing improves the ability to classify myeloid malignancies for progn…
View article: Optical Coherence Tomography (OCT) in oral cancer: A promising imaging modality for early detection and monitoring
Optical Coherence Tomography (OCT) in oral cancer: A promising imaging modality for early detection and monitoring Open
• Optical Coherence Tomography (OCT) is a powerful, non-invasive, and detailed imaging technique that has emerged in the field of oral oncology • OCT in oral oncology is its detailed ability to detect early-stage lesions with high sensitiv…