Research Radar

Nucleotide Transformer: building and evaluating robust foundation models for human genomics

542

Deep learning on medical image analysis

Abstract Medical image analysis plays an irreplaceable role in diagnosing, treating, and monitoring various diseases. Convolutional neural networks (CNNs) have become popular as they can extract intricate features and patterns fr...

111

The multinational enterprise, capabilities, and digitalization: governance and growth with world disorder

Abstract This essay revisits my 2014 JIBS article about the potential for integrating international business internalization theory with a strategic management capabilities perspective. It recaps the capabilities framework with an emphas...

A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects

233

DESI 2024 VI: cosmological constraints from the measurements of baryon acoustic oscillations

Abstract We present cosmological results from the measurement of baryon acoustic oscillations (BAO) in galaxy, quasar and Lyman-α forest tracers from the first year of observations from the Dark Energy Spectroscopic Instrument (...

1,062

A Survey of mmWave Radar-Based Sensing in Autonomous Vehicles, Smart Homes and Industry

125

A Survey on Beyond 5G Network Slicing for Smart Cities Applications

133

Less Data, More Knowledge: Building Next-Generation Semantic Communication Networks

249

A Novel Pixel-Based Reconfigurable Antenna Applied in Fluid Antenna Systems With High Switching Speed

137

Generative AI-Driven Semantic Communication Networks: Architecture, Technologies, and Applications

153

Advancing Spiking Neural Networks Toward Deep Residual Learning

167

PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks

159

Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions

There is burgeoning interest in designing AI-based systems to assist humans in designing computing systems, including tools that automatically generate computer code. The most notable of these comes in the form of the first self-described “AI pair...

147

Artificial intelligence-driven method for the discovery and prevention of distributed denial of service attacks

Distributed denial of service (DDoS) attacks has emerged as a prominent cyber threat in contemporary times. By impeding the machine's capacity to give services to legitimate clients, the impacted system performance and buffer size are reduced. Res...

187

Exploring the dynamics of providing cognition using a computational model of cognitive insomnia

Insomnia is a common sleep-related neuropsychological disorder that can lead to a range of problems, including cognitive deficits, emotional distress, negative thoughts, and a sense of insufficient sleep. This study proposes a providing computatio...

131

How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple imputation by chained equations

Academic Publication • Published Jan 31, 2025

Similarity and quality metrics for MR image-to-image translation

Abstract Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower noise levels. To ensure patient safety, these met...

Academic Publication • Published Jan 31, 2025

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions

In recent years, the notion of “the right to be forgotten” (RTBF) has become a crucial aspect of data privacy for digital trust and AI safety, requiring the provision of mechanisms that support the removal of personal data of individuals upon thei...

117

Academic Publication • Published Jan 31, 2025

Deep Learning for Time Series Anomaly Detection: A Survey

Time series anomaly detection is important for a wide range of research fields and applications, including financial markets, economics, earth sciences, manufacturing, and healthcare. The presence of anomalies can indicate novel or unexpected even...

568

Academic Publication • Published Jan 30, 2025

Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions

Abstract Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; thereby, improving the performance and robustn...