Ajith Abraham
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View article: Seizure Classification Using Artificial Intelligence: Enhancing Diagnostic Accuracy and Clinical Decision-Making
Seizure Classification Using Artificial Intelligence: Enhancing Diagnostic Accuracy and Clinical Decision-Making Open
View article: Multi-head attention transformer and Bayesian inference recommendation engine-based blade icing detection framework for wind turbines
Multi-head attention transformer and Bayesian inference recommendation engine-based blade icing detection framework for wind turbines Open
Icing accumulation on wind turbine blades significantly diminishes power output and revenue generation. Traditional icing detection methods, including sensor-based and model-based approaches, heavily rely on domain knowledge, contrasting w…
View article: Reinterpretasi Spiritualitas Bate dalam Pemberkatan Gereja Katolik di Tana Toraja: Telaah Hermeneutik
Reinterpretasi Spiritualitas Bate dalam Pemberkatan Gereja Katolik di Tana Toraja: Telaah Hermeneutik Open
This article explores the spirituality of the bate symbol within the context of the blessing of Catholic church buildings in Tana Toraja as a concrete form of inculturation of the Christian faith into local culture. Originally, bate functi…
View article: Swin-BSSeg: A Novel Swin Transformer-Enhanced Architecture for Accurate Ischemic Stroke Lesion Segmentation in MRI Images
Swin-BSSeg: A Novel Swin Transformer-Enhanced Architecture for Accurate Ischemic Stroke Lesion Segmentation in MRI Images Open
Ischemic stroke, caused by obstructed cerebral blood flow, remains a leading cause of mortality and disability, necessitating precise magnetic resonance imaging (MRI)-based lesion detection. This paper proposes Swin-BSSeg (brain symmetry s…
View article: Advances and applications in inverse reinforcement learning: a comprehensive review
Advances and applications in inverse reinforcement learning: a comprehensive review Open
Reinforcement learning, characterized by trial-and-error learning and delayed rewards, is central to decision-making processes. Its core component, the reward function, is traditionally handcrafted, but designing these functions is often c…
View article: Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression
Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression Open
The advancement of technology has ushered in remote sensing with the adoption of high-altitude infrared thermal object detection to leverage the distinct advantages of high-altitude platforms. These new technologies readily capture the the…
View article: A Comprehensive Analysis for Dark Pattern Detection Using Structural, Visual and Textual Information
A Comprehensive Analysis for Dark Pattern Detection Using Structural, Visual and Textual Information Open
Dark patterns are deceitful design strategies that control and influence user behavior and have become widespread in digital interfaces across various domains. In this research paper, dark patterns have been classified into broad types: st…
View article: Publication Performance and Trends in Ontology Research in Computer Science Areas: A Bibliometric Analysis
Publication Performance and Trends in Ontology Research in Computer Science Areas: A Bibliometric Analysis Open
Ontologies play a significant role in knowledge structure as they enable the exchange of information among various elements of AI. When fostering standardized data representations, ontologies contribute to knowledge organization and system…
View article: Multiclass Intracranial Hemorrhage Detection and Confidence Aware Triage via Deep Ensemble Learning
Multiclass Intracranial Hemorrhage Detection and Confidence Aware Triage via Deep Ensemble Learning Open
Intracranial Hemorrhage is a critical medical condition characterized by bleeding within the skull, frequently resulting from traumatic brain injury, aneurysms, or other vascular abnormalities. A rapid and accurate diagnosis is essential, …
View article: Advances in Liver Tumour Diagnosis and Treatment: Etiology, Classification, and the Emerging Role of Machine Learning
Advances in Liver Tumour Diagnosis and Treatment: Etiology, Classification, and the Emerging Role of Machine Learning Open
Liver Tumours represent a significant global health challenge due to their diverse etiology, complex classification, and high mortality rates. This literature offers a comprehensive review of advancements in the diagnosis and treatment of …
View article: Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach
Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach Open
Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset to assess the effectiveness of various Machine Lea…
View article: A Novel Context-Aware Feature Pyramid Networks With Kolmogorov-Arnold Modeling and XAI Framework for Robust Lung Cancer Detection
A Novel Context-Aware Feature Pyramid Networks With Kolmogorov-Arnold Modeling and XAI Framework for Robust Lung Cancer Detection Open
The present work describes a new method for detecting lung cancer based on a Kolmogorov-Arnold Network (KAN) combined with a Context-Aware Feature Pyramid Network (FPN), denoted KAFPN and supported by XAI tools, including Local Interpretab…
View article: Alternative data in finance and business: emerging applications and theory analysis (review)
Alternative data in finance and business: emerging applications and theory analysis (review) Open
In the financial sector, alternatives to traditional datasets, such as financial statements and Securities and Exchange Commission filings, can provide additional ways to describe the running status of businesses. Nontraditional data sourc…
View article: Integrating empirical analysis and deep learning for accurate monsoon prediction in Kerala, India
Integrating empirical analysis and deep learning for accurate monsoon prediction in Kerala, India Open
Kerala, a coastal state in India characterized by its humid tropical monsoon climate, is profoundly influenced by the Western Ghats and the Arabian Sea. Kerala receives significant rainfall during both the southwest monsoon (June to Septem…
View article: Top Research Priorities in Quantum Computing
Top Research Priorities in Quantum Computing Open
View article: A Reliable Zero-Trust Network for Task Offloading in Vehicular Systems Using an Asynchronous Federated Learning Approach in 6G
A Reliable Zero-Trust Network for Task Offloading in Vehicular Systems Using an Asynchronous Federated Learning Approach in 6G Open
This study focuses on ensuring reliable 6G vehicular services, particularly addressing the scenario of task offloading between vehicles, which involves managing communication resources. We propose a method that uses a logical model to assi…
View article: Deep learning approach for predicting monsoon dynamics of regional climate zones of India
Deep learning approach for predicting monsoon dynamics of regional climate zones of India Open
The complex interplay of various complicated meteorological and oceanic processes has made it more difficult to accurately predict Indian monsoon rainfall. A future-oriented and one of the most potential methods for predictive analytics is…
View article: Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans
Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans Open
Background: Diagnosing lung diseases accurately is crucial for proper treatment. Convolutional neural networks (CNNs) have advanced medical image processing, but challenges remain in their accurate explainability and reliability. This stud…
View article: Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort Open
View article: LWIRPOSE: A novel LWIR Thermal Image Dataset and Benchmark
LWIRPOSE: A novel LWIR Thermal Image Dataset and Benchmark Open
Human pose estimation faces hurdles in real-world applications due to factors like lighting changes, occlusions, and cluttered environments. We introduce a unique RGB-Thermal Nearly Paired and Annotated 2D Pose Dataset, comprising over 2,4…
View article: A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents
A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents Open
Object detection methods based on deep learning have been used in a variety of sectors including banking, healthcare, e-governance, and academia. In recent years, there has been a lot of attention paid to research endeavors made towards te…
View article: IC2PCT 2024 Author Index
IC2PCT 2024 Author Index Open
View article: Editorial: Advancements of deep learning in medical imaging for neurodegenerative diseases
Editorial: Advancements of deep learning in medical imaging for neurodegenerative diseases Open
The integration of technology and healthcare, particularly through artificial intelligence and deep learning, is revolutionizing precision medicine. Advances in medical imaging using deep learning have proven effective in diagnosing and ma…
View article: Modern computing: Vision and challenges
Modern computing: Vision and challenges Open
Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by …
View article: Modern Computing: Vision and Challenges
Modern Computing: Vision and Challenges Open
Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by …
View article: A Hybrid Multi-Hop Clustering and Energy-Aware Routing Protocol for Efficient Resource Management in Renewable Energy Harvesting Wireless Sensor Networks
A Hybrid Multi-Hop Clustering and Energy-Aware Routing Protocol for Efficient Resource Management in Renewable Energy Harvesting Wireless Sensor Networks Open
Energy Harvesting Wireless Sensor Networks (EH-WSNs) main goal is to increase efficiency in settings where Energy Harvesting (EH) is restricted by environmental resources. To solve the drawbacks of conventional Wireless Sensor Networks (WS…
View article: Node2bert: Only Graph Structure Learning for Robust Node Classification
Node2bert: Only Graph Structure Learning for Robust Node Classification Open
View article: CirMNet: A Shape-Based Hybrid Feature Extraction Technique Using CNN and CMSMD for Alzheimer’s MRI Classification
CirMNet: A Shape-Based Hybrid Feature Extraction Technique Using CNN and CMSMD for Alzheimer’s MRI Classification Open
This research introduces a novel approach called Circular Mesh Network (CirMNet), a shape-based hybrid feature extraction technique. It also proposes innovative Fractal Dimension (FD) and statistical feature extraction techniques for verti…
View article: An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System
An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System Open
The conventional techniques employed for tracking maximum power suffer from several issues. The perturb and observe (P&O) algorithm is extremely popular among the conventional techniques for WECS to track and capture the maximum power poin…
View article: Retraction Note to: Intelligent Systems Design and Applications
Retraction Note to: Intelligent Systems Design and Applications Open