GitHub

TFM Dataset & Benchmark: Automated Tear Film Break-Up Analysis

Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...
IEEE

A Novel Dense-Swish-CNN With Bi-LSTM Framework for Image Deepfake Detection

Abstract: Artificial intelligence (AI) developments have revolutionized technologies and methodologies, particularly for malicious uses, especially since the advent of generative adversarial networks ...
GitHub

Tool Orchestrator - Universal Programmatic Tool Calling

LLM: "Call get_expenses(employee_id=1)" → Returns 100 expense items to context LLM: "Call get_expenses(employee_id=2)" → Returns 100 more items to context ... (20 employees later) → 2,000+ line items ...
Federal Register

Incarcerated People's Communication Services; Implementation of the Martha Wright-Reed Act; Rates for Interstate Inmate Calling Services

This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the ...
IEEE

High-Precision Model Predictive Control for High-Speed Trains Utilizing LSTM-Based Fixed-Lag Kalman Smoother With a Multi-Point Mass Model

Abstract: This paper introduces a novel high-precision model predictive control method for high-speed trains that combines a fixed-lag Kalman smoother based on a long short-term memory network and a ...
Frontiers

A deep learning-driven cataract screening model derived from multicenter real-world dataset

Introduction: Cataracts, the leading cause of reversible blindness globally, require timely detection and intervention for effective prevention of blindness. Artificial intelligence can assist in ...