Abstract: This article proposes design techniques for partially calibrated sparse linear subarrays and algorithms to perform direction-of-arrival (DOA) estimation. First, we introduce array ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...

⚡ Comprehensive collection of Design & Analysis of Algorithms 🚀 | Includes 🧮 Sorting, 💡 Dynamic Programming, 🎯 Greedy, 🌐 Graph, and 🔤 String Matching | Implemented in ⚙️ C++ with STL | Perfect ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Abstract: Over the past decade, sampling-based path planning algorithms have received considerable attention. Particularly, RRT* has attracted significant attention from researchers due to its ...

An AI model trained on dozens of hours of real-world conversation accurately predicts human brain activity and shows that features of language structure emerge without being coded in. When you ...

Buildings are an important part of the energy consumption of cities. With recent developments in integrated energy systems in buildings, the need for a smart energy management system (EMS) has ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Objectives To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of ...

Large language models (LLMs) have seen rapid advancements, making significant strides in algorithmic problem-solving tasks. These models are being integrated into algorithms to serve as ...