Research Radar

The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting

158

Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving

111

Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic

Blockchain-Based Renewable Energy Trading Using Information Entropy Theory

105

Aggregator-Network Coordinated Peer-to-Peer Multi-Energy Trading via Adaptive Robust Stochastic Optimization

Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability

Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development

AbstractDespite increasing interest in using Artificial Intelligence (AI) and Machine Learning (ML) models for drug development, effectively interpreting their predictions remains a challenge, which limits their impact on clinical decisions. We ad...

678

Imetelstat, a novel, first‐in‐class telomerase inhibitor: Mechanism of action, clinical, and translational science

AbstractMost cancers and neoplastic progenitor cells have elevated telomerase activity and preservation of telomeres that promote cellular immortality, making telomerase a rational target for the treatment of cancer. Imetelstat is a first‐in‐class...

What defines a healthy gut microbiome?

The understanding that changes in microbiome composition can influence chronic human diseases and the efficiency of therapies has driven efforts to develop microbiota-centred therapies such as first and next generation probiotics, prebiotics and p...

296

Retail and Institutional Investor Trading Behaviors: Evidence from China

We study two important questions regarding trading dynamics in China: How do retail and institutional investors trade, and what are the underlying factors for these behaviors? Different from the United States, China's stock market has two prominen...

Optimizing renewable energy systems through artificial intelligence: Review and future prospects

The global transition toward sustainable energy sources has prompted a surge in the integration of renewable energy systems (RES) into existing power grids. To improve the efficiency, reliability, and economic viability of these systems, the syner...

435

Commit on Effort or Sales? Value of Commitment in Live-streaming E-commerce

With rapid development of live-streaming e-commerce, an increasing number of firms are collaborating with live-streamers (e.g., online influencers and celebrities) to host online live-shows for selling their products. To reduce the firm’s risk and...

Improving crop production using an agro-deep learning framework in precision agriculture

Prediction of strain level phage–host interactions across the Escherichia genus using only genomic information

133

Deep Multimodal Data Fusion

Multimodal Artificial Intelligence (Multimodal AI), in general, involves various types of data (e.g., images, texts, or data collected from different sensors), feature engineering (e.g., extraction, combination/fusion), and decision-making (e.g., ...

360

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey

Time Series Classification and Extrinsic Regression are important and challenging machine learning tasks. Deep learning has revolutionized natural language processing and computer vision and holds great promise in other fields such as time series ...

205

Pre-Trained Language Models for Text Generation: A Survey

Text Generation aims to produce plausible and readable text in human language from input data. The resurgence of deep learning has greatly advanced this field, in particular, with the help of neural generation models based on pre-trained language ...

167

Security, Privacy, and Decentralized Trust Management in VANETs: A Review of Current Research and Future Directions

Vehicular Ad Hoc Networks (VANETs) are powerful platforms for vehicular data services and applications. The increasing number of vehicles has made the vehicular network diverse, dynamic, and large-scale, making it difficult to meet the 5G network’...

113

Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design computer agents with intelligent capabilities such as understanding, reasoning, and learning through integrating multiple communicative modalities, incl...

169

Lightweight Deep Learning for Resource-Constrained Environments: A Survey

Over the past decade, the dominance of deep learning has prevailed across various domains of artificial intelligence, including natural language processing, computer vision, and biomedical signal processing. While there have been remarkable improv...

189