Oxytocin research stands at the intersection of neurobiology, endocrinology, and behavioral science. Traditionally recognized for its roles in childbirth ...
Abstract: Short-Term Load Forecasting (STLF) is essential for ensuring efficient and reliable power system operations, requiring accurate predictions of electricity demand. Deep Residual Networks ...
Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...
Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, United States; Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, ...
Abstract: In this work, a chaotic neural network model for epilepsy is studied. The network is modeled as a discrete map, consisting of two layers, in which the presence of chaos denotes healthy ...