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Early Termination and Pipelining for Hardware Implementation of Fast H.264 Intraprediction Targeting Mobile HD Applications
New Quality Control Algorithm Based on GNSS Sensing Data for a Bridge Health Monitoring System

Advanced MPPT Algorithm for Distributed Photovoltaic Systems
Real-time bacterial microcolony counting using on-chip microscopy

Comparison of a PCR assay using novel selective primers with current methods in terms of ABO blood phenotyping in rhesus macaques
Improved reactor regulating system logical architecture using genetic algorithm

Parallel Tracking and Mapping for Controlling VTOL Airframe
The application of machine learning for the prognostics and health management of control element drive system

Impact of laparoscopic experience on virtual robotic simulator dexterity
Comprehensive assessments of the open mouth dynamic maneuver and metal artifact reduction algorithm on computed tomography images of the oral cavity and oropharynx

Bio-Inspired Distributed Transmission Power Control Considering QoS Fairness in Wireless Body Area Sensor Networks
Hybrid Signal-Processing Method Based on Neural Network for Prediction of NO(3), K, Ca, and Mg Ions in Hydroponic Solutions Using an Array of Ion-Selective Electrodes

Development of a Novel Metagenomic Biomarker for Prediction of Upper Gastrointestinal Tract Involvement in Patients With Crohn’s Disease
Development of a Novel Metagenomic Biomarker for Prediction of Upper Gastrointestinal Tract Involvement in Patients With Crohn’s Disease

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
Machine learning prediction of dropping out of outpatients with alcohol use disorders

Oncologic Outcomes of Extended Lymphadenectomy without Liver Resection for T1/T2 Gallbladder Cancer
Efficacy of Epidural Analgesia in Patients with Cancer Pain: A Retrospective Observational Study

A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT
Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records

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