At one Seattle grocery store, identical baskets ranged from roughly $114 to $124, a spread of more than nine dollars on a ...

Abstract: This letter proposes a low-complexity off-grid inverse-free sparse Bayesian learning (OG-IFSBL) algorithm for OTFS channel estimation that avoids computationally prohibitive matrix ...

On average, price differences reached 13 per cent per item and about seven per cent across entire baskets. At one Seattle grocery store, identical baskets ranged from roughly $114 to $124, a spread of ...

Abstract: This letter investigates channel estimation for ultra-massive multiple-input multiple-output (MIMO) communications. We propose a joint low-rank and sparse Bayesian estimation (LRSBE) ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

This study quantitatively investigates the relationship between the implementation of waste-to-resource systems and the ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Our tool calculates your customized insurance rates. We'll show you the average cost of our recommendation, or the cost of a policy you customize yourself. First, let’s see what the minimum coverage ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...

Introduction: The limitations of costly laboratory methods could be addressed by advances in wearable sensors and associated machine learning algorithms (13). Key advantages of wearable technologies ...