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Applied AI Letters
Scopus
ISSN 2689-5595 · Wiley · 109 articles in the index
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Journal Article
A Stable Edge‐Aware GAN Approach for Data Augmentation and Privacy‐Preserving High‐Fidelity CT Synthesis
ABSTRACT Generative adversarial networks (GANs) have shown remarkable potential in medical image synthesis but face persistent challenges in achieving diagnostic‐grade quality, particularly in preserving anatomical edges and avoiding mode collapse. To address these limitations, we present a stable…
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Journal Article
Improved YOLOv5 for Efficient Elimination of Unwanted Video Frames From High‐Speed Video Arrays Capturing Bat's Kinematics
ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to analyze bat flying behavior. However, the simultaneous…
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Journal Article
Efficient Few‐Shot Learning in Remote Sensing: Fusing Vision and Vision‐Language Models
ABSTRACT Remote sensing has become a vital tool across sectors such as urban planning, environmental monitoring, and disaster response. Although the volume of data generated has increased significantly, traditional vision models are often constrained by the requirement for extensive domain‐specific…
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Journal Article
A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning
ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this study, we introduce a novel…
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Journal Article
Automated AI‐Based Lung Disease Classification Using Point‐of‐Care Ultrasound
ABSTRACT Timely and accurate diagnosis of lung diseases is critical for reducing related morbidity and mortality. Lung ultrasound (LUS) has emerged as a useful point‐of‐care tool for evaluating various lung conditions. However, interpreting LUS images remains challenging due to operator‐dependent…
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Journal Article
An Explainable and Lightweight CNN Framework for Robust Potato Leaf Disease Classification Using Grad‐CAM Visualization
ABSTRACT For identifying foliar diseases in crops at an early stage, accurate detection is necessary in maintaining food security, minimizing economic losses, and cultivating sustainable agriculture. In staple crops, potato is highly vulnerable to lethal diseases like Early Blight and Late Blight…
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Journal Article
Meta Reinforcement Learning for Automated Cyber Defence
ABSTRACT Reinforcement learning (RL) solutions have shown considerable promise for automating the defense of networks to cyber attacks. However, a limitation to their real world deployment is the sample efficiency and generalizability of RL agents. This means that even small changes to attack types…
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Journal Article
Multi‐Agent Reinforcement Learning for Cyber Defence Transferability and Scalability
ABSTRACT Reinforcement learning (RL) has shown to be effective for simple automated cyber defence (ACD) type tasks. However, there are limitations to these approaches that prevent them from being deployed onto real‐world hardware. Trained RL policies will often have limited transferability across…
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Journal Article
Unlocking IIoT Potential: A Systematic Review of AI Applications, Adoption Drivers, and Implementation Barriers
ABSTRACT Artificial Intelligence (AI) is playing an increasingly vital role in the Industrial Internet of Things (IIoT), enabling predictive analytics, real‐time monitoring, and autonomous operations across industries such as manufacturing, logistics, and energy. However, widespread adoption is…
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Journal Article
Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection
ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control…
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Journal Article
Optimized Deep Learning Framework for Diabetic Retinopathy Based on Systematic Multi‐Stage Transfer Learning and Predictive Risk Stratification
ABSTRACT Diabetic retinopathy (DR) is a leading cause of preventable vision loss, highlighting the need for reliable and scalable diagnostic and risk assessment methodologies. This study presents an optimized deep learning framework for predictive risk stratification in DR through a systematic…
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Journal Article
Student Perspectives on GenAI: Usage, Attitudes, and Academic Integrity in Psychology Education
ABSTRACT Generative artificial intelligence (GenAI) raises pressing pedagogical and ethical questions in higher education. We surveyed 87 UK psychology students about GenAI familiarity, study uses, attitudes, and the justification of questionable uses (neutralisation). 54% reported using GenAI to…
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Journal Article
Cross‐Method Explanation Stability Under Prediction‐Preserving Perturbations in Explainable AI
ABSTRACT Post hoc explanation methods include Integrated Gradients (IG), SHAP, Vanilla Gradients, and Grad‐CAM, which are used to audit model decision‐making in high‐stakes domains. However, it remains unclear how explanations behave under prediction‐preserving perturbations. This paper aims to…
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Journal Article
Unveiling Marketing Competencies for MBA Graduates Through Text Mining and Machine Learning Applications
ABSTRACT In today's dynamic business environment, marketing professionals are expected to demonstrate a balanced mix of conceptual knowledge, technical skills, and behavioral competencies while addressing their customers. This study analyses 2000 job postings from job web portal, collected between…
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Journal Article
On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
ABSTRACT Recent publications have suggested using the Shapley value for anomaly localization for sensor data systems. We use a reasonable statistical model for the classifiers required to compute the Shapley value to provide repeatable and rigorous analysis in the anomaly localization application…
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Journal Article
DepthPark: Smart, Cost‐Effective Vision‐Based Indoor Parking Management System Using Single Monocular Depth Estimation
ABSTRACT Urban areas increasingly face challenges due to traffic congestion and limited parking availability. Traditionally designed for outdoor spaces, parking management systems now spearhead innovative endeavors to address the unique challenges of indoor environments. Implementing smart indoor…
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Journal Article
Applications of Artificial Intelligence (AI) in Business Entrepreneurship and Start‐Ups: A Systematic Literature Review and Bibliometric Analysis
ABSTRACT Artificial Intelligence (AI) is transforming entrepreneurship by enabling data‐driven innovation, strategic decision‐making, and operational agility; however, its adoption remains uneven and fragmented due to technological, organizational, and contextual barriers. This study examines the…
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Journal Article
Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition
ABSTRACT Substantial improvements in automatic speech recognition performance have been realized through supervised fine‐tuning after self‐supervised pre‐training of a speech foundation model. The large size of foundation models, along with their varied losses and objective functions, makes it…
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Journal Article
Topological Graph Neural Networks: A Novel Approach for Geometric Deep Learning
ABSTRACT This paper introduces a novel approach to graph neural networks (GNNs) that incorporates topological data analysis (TDA) to enhance the representational power of traditional GNN architectures. We propose Topological Graph Neural Networks (TopGNNs), which leverage persistent homology and…
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Journal Article
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
ABSTRACT Cyber‐attacks are gradually becoming more sophisticated and highly frequent nowadays, and the significance of network intrusion detection systems has become more pronounced. This paper investigates the prospects and challenges of employing deep reinforcement learning technologies in…