A5077788288- AI in cancer detection
- Medical Image Segmentation Techniques
- Digital Radiography and Breast Imaging
- Advanced Manufacturing and Logistics Optimization
- Radiomics and Machine Learning in Medical Imaging
- Advanced Image and Video Retrieval Techniques
- Vehicle Routing Optimization Methods
- Food Supply Chain Traceability
- Image and Object Detection Techniques
- Computational Drug Discovery Methods
- Optimization and Packing Problems
- Heavy Metals in Plants
- Advanced X-ray and CT Imaging
- MRI in cancer diagnosis
- Time Series Analysis and Forecasting
- Anomaly Detection Techniques and Applications
- Gut microbiota and health
- Infrared Thermography in Medicine
- Autonomous Vehicle Technology and Safety
- Assembly Line Balancing Optimization
- Advanced Vision and Imaging
- 3D Surveying and Cultural Heritage
- Tea Polyphenols and Effects
- Optical measurement and interference techniques
- Digital Transformation in Industry
Universitat Oberta de Catalunya
2019-2021
University of Girona
2002-2007
Abstract In the context of a supply chain for animal‐feed industry, this paper focuses on optimizing replenishment strategies silos in multiple farms. Assuming that is essentially value chain, our work aims at narrowing chasm and putting analytics into practice by identifying quantifying improvements specific stages an chain. Motivated real‐life case, analyses rich multi‐period inventory routing problem with homogeneous fleet, stochastic demands, maximum route length. After describing...
Looking for an accurate and cost-effective solution to measure feed inventories, forecast the demand allow suppliers optimize production batches, delivery routes.
The animal feed supply chain to farm, mainly represented by the suppliers and livestock farmers, currently faces great inefficiencies due outdated management.Stakeholders struggle with timing quantity evaluation when restocking their bins, significantly affecting cost labour efficiency.However, lack of accurate cost-effective sensors measure stock levels solid materials stored in containers open piles is preventing implementation these strategies a large number industrial sectors.In cases,...
This paper discusses how the Internet of Things and simulation-based optimization methods can be effectively combined to enhance refilling strategies in an animal feed supply chain. Motivated by a real-life case study, analyses multi-period inventory routing problem with stochastic demands. After describing reviewing related literature, approach is introduced tested via series computational experiments. Our combines biased-randomization techniques simheuristic framework make use data...
Although low cost red-green-blue-depth (RGB-D) cameras are factory calibrated, to meet the accuracy requirements needed in many industrial applications proper calibration strategies have be applied. Generally, these do not consider effect of temperature on camera measurements. The aim this paper is evaluate considering an Orbbec Astra camera. To analyze performance, experimental study a thermal chamber has been carried out. From experiment, it seen that produced errors can modeled as...
Advances in learning-based trajectory prediction are enabled by large-scale datasets. However, in-depth analysis of such datasets is limited. Moreover, the evaluation models limited to metrics averaged over all samples dataset. We propose an automated methodology that allows extract maneuvers (e.g., left turn, lane change) from agent trajectories The considers information about dynamics and segments traveled along. Although it possible use resulting for training classification networks, we...