Latest Research in Intelligence, Security, War Strategy
22 research papers · 2026 median publication year
Top Research Topics in Intelligence, Security, War Strategy
- Intelligence, Security, War Strategy — 6 papers
- Computer Vision and Pattern Recognition — 4 papers
- Video Analysis and Summarization — 3 papers
- Legal Cases and Commentary — 2 papers
- Robotics and Sensor-Based Localization — 2 papers
- Machine Learning — 1 papers
- Sexual Assault and Victimization Studies — 1 papers
- Multimedia — 1 papers
- Hip disorders and treatments — 1 papers
- Global Political and Economic Relations — 1 papers
Highest-Cited Papers
- EuroMillions Breakthrough Mining — 764 Sources, 3163 Leads Extracted — E8 Intelligence Research
- EuroMillions Breakthrough Mining — 785 Sources, 3381 Leads Extracted — E8 Intelligence Research
- EuroMillions Breakthrough Mining — 785 Sources, 3381 Leads Extracted — E8 Intelligence Research
- EuroMillions Breakthrough Mining — 754 Sources, 3062 Leads Extracted — E8 Intelligence Research
- EuroMillions Breakthrough Mining — 745 Sources, 2977 Leads Extracted — E8 Intelligence Research
- EuroMillions Breakthrough Mining — 745 Sources, 2977 Leads Extracted — E8 Intelligence Research
- Asymmetric Hierarchical Anchoring for Robust Audio-Visual Cross-Modal Generalization
- News Briefs
- News (9 citations)
- Video summarization based on multi-scale feature fusion
- UAV Visual Localization in GNSS-Denied Environments
- Real-Time Mapping and Planning Intelligent Paths using Optical LiDAR and Quadruped Robot
- News (9 citations)
- An Algorithm for Fine-Grained Content Extraction and Understanding in Short Videos
- HAS: Highlight-guided Attention Steering for Multimodal LLM Video Summarization
- LVSum: A Benchmark for Timestamp-Aware Long Video Summarization
- SceneBind: Binding What and Where Across Vision, Audio and Language
- SMGT: A self-supervised multimodal graph transformer with coverage-aware selection for video summarization with nanotechnology-inspired nanoscale representation learning
- AVSCap: Orchestrating Audio-Visual Synergy for Omni-modal Video Captioning
- Multimodal Video-to-Music Recommendation via Semantic Retrieval and Temporal Reranking