AIMC Topic: Automation

Clear Filters Showing 821 to 830 of 967 articles

Automated determination of hip arthrosis on the Kellgren-Lawrence scale in pelvic digital radiographs scans using machine learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Automated analysis of digital radiographs of the pelvis to determine the hip arthrosis state in concordance with the Kellgren-Lawrence scale could facilitate and standardize radiogram descriptions.

SapFlower: an automated tool for sap flow data preprocessing, gap-filling, and analysis using deep learning.

The New phytologist
Sap flow, a critical process in plant water use and ecosystem water cycles, is often measured using thermal dissipation probes (TDP) due to their ease of installation and continuous data collection. However, sap flow data frequently include noise, ou...

A Systematic Review of AI-Based Techniques for Automated Waste Classification.

Sensors (Basel, Switzerland)
Waste classification is a critical step in waste management that is time-consuming and necessitates automation to replace traditional approaches. Recently, machine learning (ML) and deep learning (DL) have gained attention from researchers seeking to...

Artificial intelligence voice gender, gender role congruity, and trust in automated vehicles.

Scientific reports
Existing research on human-automated vehicle (AV) interactions has largely focused on auditory explanations, with less attention to how voice characteristics shape user trust. This paper explores the influence of gender similarity between users and A...

Reinforcement learning for automated method development in liquid chromatography: insights in the reward scheme and experimental budget selection.

Journal of chromatography. A
Chromatographic problem solving, commonly referred to as method development (MD), is hugely complex, given the many operational parameters that must be optimized and their large effect on the elution times of individual sample compounds. Recently, th...

Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data.

Journal of voice : official journal of the Voice Foundation
OBJECTIVES: Auditory-perceptual evaluation frameworks, such as the grade-roughness-breathiness-asthenia-strain (GRBAS) scale, are the gold standard for the quantitative evaluation of pathological voice quality. However, the evaluation is subjective; ...

Machine Learning in Automated Food Processing: A Mini Review.

Annual review of food science and technology
Industrial food processing is rapidly transforming into automation and digitalization. Automated food processing systems adapt to variations in raw materials and product quality requirements. Implementing automated processing systems can potentially ...

Effect of Laminectomy Methods on the Surgical Safety of Automatic Laminectomy Robot.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The efficacy of laminectomy procedures is contingent on the method of resection. The objective of this study was to investigate the impact of different methods of resection on the surgical safety of automated laminectomy robots, an area t...

Evaluating the impact of an automated drug retrieval cabinet and robotic dispensing system in a large hospital central pharmacy.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: To determine the impact of implementing 2 technologies in succession, the Carousel system and XR2 robot, in a hospital central pharmacy. The study examined the technologies' impact on workload shifted from fully human-involved, labor-intensi...