Computer Science & Engineering
Recent Submissions
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Cryptocurrency Market Volatility and Forecasting: A Comparative Analysis of Modern Machine Learning Models for Cryptocurrencies Predicting Accuracy
( World Scientific , 2024 , Article)Cryptocurrency (CRP) has grown in popularity over the last decade. Since there is no central body to control the Bitcoin (BTC) markets, they are extremely volatile. However, several similar variables that cause price ... -
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
( IEEE , 2024 , Article)As education constitutes an essential development standard for individuals and societies, researchers have been exploring the use of artificial intelligence (AI) in this domain and have embedded the technology within it ... -
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
( IEEE , 2024 , Article)Deep neural networks (DNNs) have been the driving force behind many of the recent advances in machine learning. However, research has shown that DNNs are vulnerable to adversarial examples - input samples that have been ... -
Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare
( IEEE , 2024 , Article)In the modern landscape of information and communication technologies, the current healthcare industry confronts significant challenges. These include a shortage of experienced medical professionals, disparities in access ... -
R2S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild
( Springer , 2025 , Article)Semantic understanding of roadways is a key enabling factor for safe autonomous driving. However, existing autonomous driving datasets provide well-structured urban roads while ignoring unstructured roadways containing ... -
Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique
( IEEE , 2024 , Article)Blockchain technology enables users to control and record their cryptocurrency transactions through the use of digital wallets. As the use of blockchain technology and cryptocurrency wallets continues to grow in popularity, ... -
Medical Education Metaverses (MedEd Metaverses): Opportunities, Use Case, and Guidelines
( IEEE , 2025 , Article)This article explores how artificial intelligence (AI), particularly generative AI (GenAI), can enhance extended reality (XR) applications in medical education (MedEd) metaverses. We compare traditional augmented reality/virtual ... -
Avatar Privacy Challenges in the Metaverse: A Comprehensive Review and Future Directions
( Taylor and Francis Ltd. , 2025 , Article)The concept of the Metaverse has sparked great interest as a futuristic virtual space that provides immersive experiences and social interactions through digital avatars. However, using avatars in the Metaverse raises ... -
Informed Consent in IoT Environments: Challenges and a Futuristic Incentives-Based Model
( IEEE , 2024 , Article)The ubiquitous deployment of IoT devices has enabled the collection of large amounts of data, which can be used to infer intimate information about user behavior and preferences. However, this potential for data collection ... -
Enhancing Cross-Language Multimodal Emotion Recognition With Dual Attention Transformers
( IEEE , 2024 , Article)Despite the recent progress in emotion recognition, state-of-the-art systems are unable to achieve improved performance in cross-language settings. In this article we propose a Multimodal Dual Attention Transformer (MDAT) ... -
Robust multi-label surgical tool classification in noisy endoscopic videos
( Nature Research , 2025 , Article)Over the past few years, surgical data science has attracted substantial interest from the machine learning (ML) community. Various studies have demonstrated the efficacy of emerging ML techniques in analysing surgical ... -
Addressing Data Distribution Shifts in Online Machine Learning Powered Smart City Applications Using Augmented Test-Time Adaptation
( IEEE , 2024 , Article)Data distribution shift is a common problem in machine learning-powered smart city applications where the test data differs from the training data. Augmenting smart city applications with online machine learning models can ... -
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
( IEEE , 2025 , Article)Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization ... -
Learning 101 reloaded: Revisiting the basics for the GenAI era
( IEEE , 2024 , Article)In this paper, we delve into the transformative landscape of education amidst the disruptive advances of generative AI (GenAI), characterized by an unprecedented capacity to generate new information with tools such as ... -
Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses
( Association for Computing Machinery , 2024 , Article)Metaverse is expected to emerge as a new paradigm for the next-generation Internet, providing fully immersive and personalized experiences to socialize, work, and play in self-sustaining and hyper-spatio-temporal virtual ... -
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
( IEEE , 2024 , Article)This article outlines the architecture of autonomous driving and related complementary frameworks from the perspective of human comfort. The technical elements for measuring autonomous vehicle (AV) user comfort and ... -
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues
( IEEE , 2024 , Article)Metaverse has evolved as one of the popular research agenda that let users learn, socialize, and collaborate in a networked 3-D immersive virtual world. Due to the rich multimedia streaming capability and immersive user ... -
Robust Encrypted Inference in Deep Learning: A Pathway to Secure Misinformation Detection
( IEEE , 2025 , Article)To combat the rapid spread of misinformation on social networks, automated misinformation detection systems based on deep neural networks (DNNs) have been developed. However, these tools are often proprietary and lack ... -
Survey of Deep Representation Learning for Speech Emotion Recognition
( IEEE , 2023 , Article)Traditionally, speech emotion recognition (SER) research has relied on manually handcrafted acoustic features using feature engineering. However, the design of handcrafted features for complex SER tasks requires significant ... -
Privacy preserving large language models: ChatGPT case study based vision and framework
( John Wiley and Sons Inc , 2024 , Article)The generative Artificial Intelligence (AI) tools based on Large Language Models (LLMs) use billions of parameters to extensively analyse large datasets and extract critical information such as context, specific details, ...
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