| Nome |
# |
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Virtual Interactive E-Learning Application: An Evaluation of the Student Satisfaction, file e384c42e-2a9b-d4b2-e053-9f05fe0a1d67
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2.888
|
|
3D human face description: landmarks measures and geometrical features, file e384c42e-1460-d4b2-e053-9f05fe0a1d67
|
2.817
|
|
Model-based definition design in the product lifecycle management scenario, file e384c42e-0e53-d4b2-e053-9f05fe0a1d67
|
2.254
|
|
A benchmarking framework for product lifecycle management (PLM) maturity models, file e384c42e-2cbd-d4b2-e053-9f05fe0a1d67
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1.930
|
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Implementing a New Approachfor the Design of an E-LearningPlatform in EngineeringEducation, file e384c42e-1fcd-d4b2-e053-9f05fe0a1d67
|
1.505
|
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Key performance indicators for PLM benefits evaluation: The Alcatel Alenia Space case study, file e384c42d-ff66-d4b2-e053-9f05fe0a1d67
|
1.087
|
|
A Product Lifecycle Management methodology for supporting knowledge reuse in the Consumer Packaged Goods domain, file e384c42e-0cda-d4b2-e053-9f05fe0a1d67
|
1.042
|
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Compliant assembly tolerance analysis: guidelines to formalize the resistance spot welding plasticity effects, file e384c42e-109d-d4b2-e053-9f05fe0a1d67
|
851
|
|
A methodology for supporting Requirement Management Tools (RMt) design in the PLM scenario: an user-based strategy, file e384c42e-3152-d4b2-e053-9f05fe0a1d67
|
786
|
|
Design and implementation of 3D Web-based interactive medical devices for educational purposes, file e384c42e-3a84-d4b2-e053-9f05fe0a1d67
|
782
|
|
PRODUCT LIFECYCLE DATA SHARING AND VISUALISATION: WEB-BASED APPROACHES, file e384c42e-0430-d4b2-e053-9f05fe0a1d67
|
734
|
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Guidelines for the design of tyre sensor housings, file e384c42e-351f-d4b2-e053-9f05fe0a1d67
|
670
|
|
Design of web-based interactive 3D concept maps: A preliminary study for an engineering drawing course, file e384c42e-348f-d4b2-e053-9f05fe0a1d67
|
642
|
|
Geometrical Descriptors for Human Face Morphological Analysis and Recognition, file e384c42e-175d-d4b2-e053-9f05fe0a1d67
|
633
|
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Supporting product development in the textile industry through the use of a product lifecycle management approach: a preliminary set of guidelines, file e384c42e-3aae-d4b2-e053-9f05fe0a1d67
|
626
|
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An integrated approach to support the Requirement Management (RM) tool customization for a collaborative scenario, file e384c42e-3b3a-d4b2-e053-9f05fe0a1d67
|
626
|
|
3D face recognition: An automatic strategy based on geometrical
descriptors and landmarks, file e384c42e-3491-d4b2-e053-9f05fe0a1d67
|
619
|
|
Geometry-based 3D face morphology analysis: soft-tissue landmark formalization, file e384c42e-1c7b-d4b2-e053-9f05fe0a1d67
|
564
|
|
Development of an innovative low-cost MARG sensors
alignment and distortion compensation methodology
for 3D scanning applications, file e384c42e-2a9a-d4b2-e053-9f05fe0a1d67
|
523
|
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Study and development of a low cost “OptInertial” 3D scanner, file e384c42e-2c7f-d4b2-e053-9f05fe0a1d67
|
520
|
|
3D Landmarking in Multiexpression Face Analysis:
3 A Preliminary Study on Eyebrows and Mouth, file e384c42e-30d8-d4b2-e053-9f05fe0a1d67
|
495
|
|
A MORPHOLOGICAL METHODOLOGY FOR THREE-DIMENSIONAL HUMAN FACE SOFT-TISSUE LANDMARKS EXTRACTION: A PRELIMINARY STUDY, file e384c42e-15ae-d4b2-e053-9f05fe0a1d67
|
493
|
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Novel Descriptors for Geometrical 3D Face Analysis, file e384c42e-fc32-d4b2-e053-9f05fe0a1d67
|
442
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Computer Aided Morphological Analysis for maxillo-facial diagnostic: a preliminary study, file e384c42e-021e-d4b2-e053-9f05fe0a1d67
|
440
|
|
3D Human Face Soft Tissues Landmarking Method: An Advanced Approach, file e384c42e-2310-d4b2-e053-9f05fe0a1d67
|
423
|
|
Study and development of morphological analysis guidelines for point cloud management: The “decisional cube”, file e384c42e-0c4b-d4b2-e053-9f05fe0a1d67
|
390
|
|
New 3d segmentation approach for reverse engineering selective sampling acquisition, file e384c42d-fe57-d4b2-e053-9f05fe0a1d67
|
386
|
|
A pose-independent method for 3D face landmark
formalization, file e384c42e-1b5b-d4b2-e053-9f05fe0a1d67
|
383
|
|
Reverse Engineering: Selective Sampling Acquisition Approach, file e384c42d-fe59-d4b2-e053-9f05fe0a1d67
|
354
|
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A knowledge reusing methodology in the product's lifecycle scenario: a semantic approach, file e384c42e-23a2-d4b2-e053-9f05fe0a1d67
|
351
|
|
An integrated strategy for variational analysis of compliant
plastic assemblies on shell elements, file e384c42e-247e-d4b2-e053-9f05fe0a1d67
|
349
|
|
Spin casting characterization: An experimental approach for the definition of runners design guidelines, file e384c42d-ffcc-d4b2-e053-9f05fe0a1d67
|
294
|
|
Computer Aided Inspection: design of customer oriented benchmark for non contact 3D scanners evaluation, file e384c42e-01e2-d4b2-e053-9f05fe0a1d67
|
254
|
|
Co-evolution of design methods and CSCWD systems to improve the preliminary design process, file e384c42e-2329-d4b2-e053-9f05fe0a1d67
|
215
|
|
SOFT TISSUE DIAGNOSIS IN MAXILLOFACIAL SURGERY: A PRELIMINARY STUDY ON THREE-DIMENSIONAL FACE GEOMETRICAL FEATURES BASED ANALYSIS, file e384c42e-09ee-d4b2-e053-9f05fe0a1d67
|
213
|
|
ADAPTIVE SAMPLING PLAN DESIGN METODOLOGY FOR REVERSE ENGINEERING ACQUISITION, file e384c42e-01e1-d4b2-e053-9f05fe0a1d67
|
183
|
|
Automatic 3D foetal face model extraction from ultrasonography through histogram processing, file e384c42f-0db0-d4b2-e053-9f05fe0a1d67
|
162
|
|
OPTIMAL PITCH MAP GENERATION FOR SCANNING PITCH DESIGN IN SELECTIVE SAMPLING, file e384c42e-04c1-d4b2-e053-9f05fe0a1d67
|
148
|
|
PITCH FUNCTION COMPARISON METHODOLOGY FOR SUPPORTING A SMART 3D SCANNER SELECTION, file e384c42e-02df-d4b2-e053-9f05fe0a1d67
|
135
|
|
Automatic 3D foetal face model extraction from ultrasonography through histogram processing, file e384c430-072c-d4b2-e053-9f05fe0a1d67
|
130
|
|
3D Approaches and Challenges in Facial Expression Recognition Algorithms—A Literature Review, file e384c431-3b2e-d4b2-e053-9f05fe0a1d67
|
76
|
|
Analysis of RGB-D camera technologies for supporting different facial usage scenarios, file e384c432-7e33-d4b2-e053-9f05fe0a1d67
|
66
|
|
Questionnaires or Inner Feelings: Who Measures the Engagement Better?, file e384c431-931b-d4b2-e053-9f05fe0a1d67
|
58
|
|
Malar augmentation with zygomatic osteotomy in orthognatic surgery: Bone and soft tissue changes threedimensional evaluation: Malar Augmentation in Orthognatic Surgery, file e384c433-9d86-d4b2-e053-9f05fe0a1d67
|
58
|
|
Three-Dimensional Evaluation of Soft Tissue Malar Modifications after Zygomatic Valgization Osteotomy via Geometrical Descriptors, file e384c433-7fce-d4b2-e053-9f05fe0a1d67
|
53
|
|
DIAGNOSING CLEFT LIP PATHOLOGY IN 3D ULTRASOUND: A LANDMARKING-BASED APPROACH, file e384c42f-26e3-d4b2-e053-9f05fe0a1d67
|
40
|
|
3D geometry-based automatic landmark localization in presence of facial occlusions, file e384c433-8ea7-d4b2-e053-9f05fe0a1d67
|
39
|
|
X-Ray Bone Fracture Classification Using Deep Learning: A Baseline for Designing a Reliable Approach, file e384c431-758c-d4b2-e053-9f05fe0a1d67
|
37
|
|
Spin casting characterization: An experimental approach for the definition of runners design guidelines, file e384c42d-ffcb-d4b2-e053-9f05fe0a1d67
|
30
|
|
Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition, file e384c432-841e-d4b2-e053-9f05fe0a1d67
|
27
|
|
Validation of a TAM Extension in Agriculture: Exploring the Determinants of Acceptance of an e-Learning Platform, file e384c433-dee8-d4b2-e053-9f05fe0a1d67
|
24
|
|
Antenatal automatic diagnosis of cleft lip via unsupervised clustering method relying on 3D facial soft tissue landmarks, file e384c430-015c-d4b2-e053-9f05fe0a1d67
|
23
|
|
Landmarking-based unsupervised clustering of human faces manifesting labio-schisis dysmorphisms, file e384c430-9c5c-d4b2-e053-9f05fe0a1d67
|
23
|
|
Evaluation of HMDs by QFD for Augmented Reality Applications in the Maxillofacial Surgery Domain, file e384c434-3fd8-d4b2-e053-9f05fe0a1d67
|
23
|
|
Computer-Aided Diagnosis System for Bone Fracture Detection and Classification: A Review on Deep Learning Techniques, file e384c433-5438-d4b2-e053-9f05fe0a1d67
|
20
|
|
Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance, file e384c433-cc92-d4b2-e053-9f05fe0a1d67
|
20
|
|
Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications, file e384c432-c43c-d4b2-e053-9f05fe0a1d67
|
19
|
|
Can adas distract driver’s attention? An rgb-d camera and deep learning-based analysis, file e384c434-4bca-d4b2-e053-9f05fe0a1d67
|
18
|
|
Design Thinking as a Framework for the Design of a Sustainable Waste Sterilization System: The Case of Piedmont Region, Italy, file e384c434-2bef-d4b2-e053-9f05fe0a1d67
|
16
|
|
Dynamic evaluation of THA components by prosthesis impingement software (PIS), file e384c434-58cb-d4b2-e053-9f05fe0a1d67
|
15
|
|
DIAGNOSING CLEFT LIP PATHOLOGY IN 3D ULTRASOUND: A LANDMARKING-BASED APPROACH, file e384c430-d009-d4b2-e053-9f05fe0a1d67
|
14
|
|
Assessment of Cognitive Student Engagement Using Heart Rate Data in Distance Learning during COVID-19, file e384c433-d149-d4b2-e053-9f05fe0a1d67
|
13
|
|
Building an ecologically valid facial expression database – Behind the scenes, file e384c434-0adb-d4b2-e053-9f05fe0a1d67
|
12
|
|
Augmented Reality: Mapping Methods and Tools for Enhancing the Human Role in Healthcare HMI, file d31e1c2e-ad49-4047-841c-5aa04aae8291
|
10
|
|
Development of an affective database made of interactive virtual environments, file e384c434-0cd5-d4b2-e053-9f05fe0a1d67
|
10
|
|
6D object position estimation from 2D images: a literature review, file 8e26e7d1-79ea-4807-9d1d-139ec70b0e08
|
8
|
|
Towards an integrated framework to measure user engagement with interactive or physical products, file 30fca0d1-d51c-44c0-87b2-205d47bbcf8a
|
7
|
|
A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery, file 74aa7862-0414-4598-9459-62ec614d4ebb
|
7
|
|
Understanding the contagiousness of Covid-19 strains: A Geometric approach, file 36be0aec-4863-4579-964b-ca62a2fa1787
|
5
|
|
3D Face Expression Recognition via Geometry A Preparatory Path, file e384c430-7237-d4b2-e053-9f05fe0a1d67
|
5
|
|
Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach, file e384c432-b119-d4b2-e053-9f05fe0a1d67
|
5
|
|
Toward Supporting Maxillo-Facial Surgical Guides Positioning with Mixed Reality—A Preliminary Study, file 86ce06d9-384c-4c45-99b9-3c8faf690e9d
|
4
|
|
The impact of 3D models on positive surgical margins after robot-assisted radical prostatectomy, file b178070f-a4d0-43f6-86c3-a1097dafaee5
|
4
|
|
Cleft lip pathology diagnosis and foetal landmark extraction via 3D geometrical analysis, file e384c432-5309-d4b2-e053-9f05fe0a1d67
|
4
|
|
Mixed reality-based support for total hip arthroplasty assessment, file f93c582d-eb7b-4eb3-979d-a2baf172773b
|
4
|
|
A Multi-Task Convolutional Neural Network for Semantic Segmentation and Event Detection in Laparoscopic Surgery, file 041e91d1-e015-4a36-a499-cadba29ad87f
|
3
|
|
Interpreting emotions with EEG: an experimental study with chromatic variation in VR, file 31f9b573-85bd-4ffa-b06e-a54736de6ecb
|
3
|
|
Intraoperative surgery room management: A deep learning perspective, file e384c432-7f00-d4b2-e053-9f05fe0a1d67
|
3
|
|
Computer-Aided Diagnosis System for Bone Fracture Detection and Classification: A Review on Deep Learning Techniques, file e384c433-5437-d4b2-e053-9f05fe0a1d67
|
3
|
|
Vision Transformer for femur fracture classification, file 09f45dfa-1b8e-4cd8-8eb4-51c2c9c90509
|
2
|
|
Exploiting deep learning and augmented reality in fused deposition modeling: a focus on registration, file 156184d7-6024-4e50-82f1-6f8c6e7d69e9
|
2
|
|
Exploring User Engagement in Museum Scenario with EEG—A Case Study in MAV Craftsmanship Museum in Valle d’Aosta Region, Italy, file 26bd4c80-29b7-4444-aabc-af0b94df475b
|
2
|
|
3D Facial Action Units and Expression Recognition using a Crisp Logic, file 45fb9b7e-7043-4d70-b114-4a1fb388818d
|
2
|
|
A Procedure for Cutting Guides Design in Maxillofacial Surgery: A Case-Study, file ac756c00-feba-4398-8287-5e946ebc83a9
|
2
|
|
User Engagement Comparison between Advergames and Traditional Advertising Using EEG: Does the User’s Engagement Influence Purchase Intention?, file e0cd65e1-b9bf-41a5-a5ba-692e80eced32
|
2
|
|
Resistance spot welding process simulation for variational analysis on compliant assemblies, file e384c42d-d435-d4b2-e053-9f05fe0a1d67
|
2
|
|
3D human face description: landmarks measures and geometrical features, file e384c42e-9a10-d4b2-e053-9f05fe0a1d67
|
2
|
|
Novel Descriptors for Geometrical 3D Face Analysis, file e384c42f-00d1-d4b2-e053-9f05fe0a1d67
|
2
|
|
CONDUCTING VALUE ENGINEERING ANALYSIS AROUND A COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN PLATFORM, file e384c42f-c3d8-d4b2-e053-9f05fe0a1d67
|
2
|
|
Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition, file e384c433-2ecc-d4b2-e053-9f05fe0a1d67
|
2
|
|
Optimal Marker Set Assessment for Motion Capture of 3D Mimic Facial Movements, file e384c433-424d-d4b2-e053-9f05fe0a1d67
|
2
|
|
Face perception foundations for pattern recognition algorithms, file e384c433-a2af-d4b2-e053-9f05fe0a1d67
|
2
|
|
Affective Virtual Reality: How to Design Artificial Experiences Impacting Human Emotions, file e384c434-119a-d4b2-e053-9f05fe0a1d67
|
2
|
|
Building an ecologically valid facial expression database – Behind the scenes, file e384c434-2c4e-d4b2-e053-9f05fe0a1d67
|
2
|
|
Interpreting emotions with EEG: an experimental study with chromatic variation in VR, file fa535dd1-a1a5-4878-85c6-9a479ae61b34
|
2
|
|
A framework study on the use of immersive XR technologies in the cultural heritage domain, file 0e2a0d9c-b99f-4d2f-839c-0669c60a7ab0
|
1
|
|
A methodology for task-specific metrological characterization of low-cost 3D camera for face analysis, file 3918655f-ae84-416c-88e4-9e0de36ab3e3
|
1
|
|
Mixed reality-based support for total hip arthroplasty assessment, file 581c2d43-c005-452a-bd4c-6994ed659108
|
1
|
|
CalD3r and MenD3s: Spontaneous 3D Facial Expression Databases, file 944113d2-d35a-4d3f-9416-cf715dc4d4b5
|
1
|
|
The limits and future of Collision Models, file c3be2f14-f22e-4dc5-8357-bd03823c92f6
|
1
|
| Totale |
29.185 |
Archivio Istituzionale della Ricerca