Abstract: In deep-water (DWA) communications, the channel often exhibits two long-separated clusters, with the second cluster exhibiting significant Doppler spread. DWA channels are commonly found in ...

Reasoning over very long inputs remains difficult for large language models (LLMs). Common workarounds either shrink the input via retrieval (risking missed evidence), enlarge the context window ...

State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu 214122, China International Joint Laboratory on Food Science and Safety, Jiangnan University, Wuxi, Jiangsu ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

This issue tracks the first iteration of refactoring the codebase to improve structure, maintainability, and collaboration. CSS has been modularized successfully. JavaScript has been reorganized to ...

Most businesses struggle with innovation, not because they lack ideas, but because they lack a clear and effective process. Great ideas don’t emerge in a vacuum. They require structure, iteration, and ...

In the world of design, the first draft is rarely the best one. This is the foundation of iterative design—a methodology that has transformed how products, websites, applications and print materials ...

A key characteristic of classical project management is its sequential and linear approach to project planning and execution. It involves detailed upfront planning, such as creation of a comprehensive ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Abstract: In the space-time adaptive processing (STAP) algorithm, the coprime structure can achieve better clutter suppression performance at lower hardware costs compared to the uniform linear ...

Hyperspectral image classification in remote sensing often encounters challenges due to limited annotated data. Semi-supervised learning methods present a promising solution. However, their ...