Technical Description The technology introduces a non-invasive glucose monitoring system using reflected NIR radiation (800-1100 nm) converted to voltage intensity signals for continuous, occlusion-based measurement with machine-learning calibrated presets. Problems Addressed Lacks Continuous Monitoring Inefficient Invasive Pricking Painful Blood Sampling…
Technical Description The technology introduces a device that manages electrical energy by monitoring consumption disaggregating data, capturing parameters, and determining consumption patterns. Problems Addressed Multiple Meters Necessary Wires Complicate Accuracy Multiple Plugs Required High Cost Tech Features Real Time Analysis…
Technical Description The technology presents a comprehensive optimization model integrating multiple sub-problems for effective high-speed rail planning using AI techniques and metaheuristics. Problems Addressed Single Metaheuristic Environmental Harm Resource-intensive Critical Communication Tech Features Efficient HSR Planning Unified Decision-Making Streamlined Implementation…
Technical Description The technology involves deep learning-based centroiding of mass scan data from high-resolution mass spectrometry, either standalone or connected to devices like chromatography and ion mobility separation tools. Problems Addressed Data Loss Issues Noise Propagation Time Taking Process High…
Technical Description The invention provides an AI-based pothole detection system that features a portable LiDAR sensor for 3D road surface data, a scanning mechanism for high-density data collection, an HPC processing unit, and a deep learning model for real-time condition…
Technical Description The technology introduces a system for monitoring and tracking health through a wearable device to identify symptoms of various diseases in individuals by analyzing physiological parameters such as body temperature, blood oxygen saturation, heart rate, respiratory rate, and…
Technical Description The invention provides a lightweight, high-capacity compression system for edge devices, utilizing simple hardware and a deep learning decoder. It optimizes data size, transmission latency, security, and efficiency, making it suitable for surveillance, personal monitoring, and drone applications.…
Technical Description The technology presents a machine learning system that analyzes global metabolomics and lipidomics, capturing comprehensive molecular data to predict metabolic disorders and track therapy response. Problems Addressed Metabolic Disorder Complexity Class Differences Complex Factors Limited Analysis Tech Features…
Technical Description The technology introduces a system for predicting weather events that utilizes deep learning to enhance predictions on local and hyperlocal scales. Integrating diverse data with advanced algorithms and LSTM-based neural networks improve accuracy by 15% to 100% over…
Technical Description The invention discloses an AI-based multi-contrast MRI reconstruction method that uses kernel-modulated CNNs and bi-level meta-learning to reconstruct multiple MRI contrasts from under-sampled k-space data. A single multi-task model adapts to diverse and even unseen contrast protocols, improving…
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