Refine
Year of publication
- 2022 (322) (remove)
Document type
- Article (peer-reviewed) (151)
- Conference Proceeding (73)
- Part of a Book (37)
- Contribution to a Periodical (27)
- Other (16)
- Book (8)
- Report (5)
- Doctoral Thesis (4)
- Working Paper (1)
Is part of the Bibliography
- Yes (322) (remove)
Keywords
- Online-Ressource (11)
- Electrical impedance tomography (9)
- Machine learning (6)
- Poster (6)
- Convolutional neural network (5)
- Exercise (5)
- COVID-19 (4)
- Cytotoxicity (4)
- Surgical tool classification (4)
- Acute respiratory distress syndrome (3)
- Betulinic acid (3)
- Deep learning (3)
- Ergonomie (3)
- Körperliches Training (3)
- Mechanical ventilation (3)
- Meta-Analyse (3)
- Acceptance (2)
- Acute respiratory failure (2)
- Amino acids (2)
- Attention modules (2)
- Betriebliche Gesundheitsförderung (2)
- Betulin (2)
- Blockchain (2)
- Bone mineral density (2)
- Bone screw (2)
- CNN (2)
- CPS (2)
- Convolutional neural network (CNN) (2)
- Digitale Transformation (2)
- Donation after circulatory death (2)
- EIT (2)
- Education (2)
- Elastance (2)
- Electrical bioimpedance (2)
- Electrical impedance tomography (EIT) (2)
- Emotion recognition (2)
- Endoscopy (2)
- Energiewandler (2)
- Erneuerbare Energien (2)
- Extracorporeal membrane oxygenation (2)
- Fischer glycosylation (2)
- Glycosides (2)
- Gramian angular field (2)
- Grinding (2)
- Heart transplantation (2)
- Human milk (2)
- Human-robot interaction (2)
- Identification (2)
- Kitchen sponge (2)
- Knochendichte (2)
- Laparoscopic video (2)
- Laparoscopic videos (2)
- Lung perfusion (2)
- ML (2)
- MLOps (2)
- Machine Learning (2)
- Machine perfusion (2)
- Manufacturing (2)
- Material removal mechanism (2)
- Measurement environment (2)
- Meta-analysis (2)
- Metrics (2)
- Modularization (2)
- Neck pain (2)
- Oxidative stress (2)
- Parameter identification (2)
- Parkinson’s disease (2)
- Pendelluft (2)
- Planetary health (2)
- Prävention (2)
- Pulmonary function testing (2)
- Shear wave elastography (2)
- Simulation (2)
- Simulation modeling (2)
- Smart screwdriver (2)
- Supply chain planning (2)
- Surface roughness (2)
- Sustainability (2)
- System dynamics (2)
- Ultrasound (2)
- Umfrage (2)
- Ursolic acid (2)
- Wasserstoff (2)
- 1H NMR (1)
- 3D-reconstruction (1)
- ALD (1)
- ARDS (1)
- Abrasion (1)
- Absorption process (1)
- Access control (1)
- Access-control (1)
- Acetylcholinesterase (1)
- Acute lung injury (1)
- Adaptation models (1)
- Additive manufactured grinding tool (1)
- Address distribution (1)
- Adolescents (1)
- Adversarial attack (1)
- Akademisierung (1)
- Algorithmic decision-making (1)
- Amides (1)
- Amoeba (1)
- Amplicon sequencing (1)
- Anatomy (1)
- Anti-biofilm coating (1)
- Antimicrobial coating (1)
- Arbeitsplatzbezogene Maßnahmen (1)
- Archaea (1)
- Archimedes' principle (1)
- Arthrose (1)
- Artificial intelligence (1)
- Assay error (1)
- Assessment (1)
- Assessment of paper-based prototypes (1)
- Asynchrony (1)
- Athletes (1)
- Augmentation (1)
- AutoML Tool (1)
- Automated driving (1)
- Axial force (1)
- BMD (1)
- BPM body of knowledge (1)
- Back orthosis (1)
- Bacteria (1)
- Bacterial diversity (1)
- Barkhausenrauschen (1)
- Behavior changes (1)
- Behavioral sciences (1)
- Bibliometric analysis (1)
- Bin picking (1)
- Bioactive factors (1)
- Biocompatible (1)
- Biofilm ecology (1)
- Biofilms (1)
- Biological system modeling (1)
- Biomarkers (1)
- Biomechanics (1)
- Bisphosphonate (1)
- Bladder cancer (1)
- Blended Learning (1)
- Blood donation (1)
- Blood lipids (1)
- Body mass index (1)
- Bromides (1)
- Built environment (1)
- Built environment microbiome (1)
- Business process management (1)
- Business- TV (1)
- Butyrylcholinestase (1)
- Büroarbeitsplatz (1)
- CF30-PEEK (1)
- CO2 capturing (1)
- COVID-19 pneumonia (1)
- Carbasugars (1)
- Carbohydrate chemistry (1)
- Carbohydrates (1)
- Cardiac arrest (1)
- Cardiac surgery (1)
- Cardiopulmonary resuscitation (1)
- Cardiovascular monitoring (1)
- Cardiovascular risk (1)
- Catalytic depolymerization (1)
- Center of ventilation (1)
- Chemical transformation (1)
- Chip-breaking (1)
- Chitosan (1)
- Chronic back pain (1)
- Chronic obstructive pulmonary disease (COPD) (1)
- Chronicle mining (1)
- Climatic parameters (1)
- Clinical evaluation system (1)
- Cluster analysis (1)
- Cobb angle (1)
- Collapse (1)
- Compliance (1)
- Computational modeling (1)
- Computer-Based-Training (1)
- Cooperation in global networks (1)
- Corona-Pandemie (1)
- Coronary microvasculature (1)
- Coronavirus-COVID-19 (1)
- Costs (1)
- Critical EIT (1)
- Critical care (1)
- Critical ultrasound (1)
- Cross-cultural cooperation (1)
- Cryogenic machining (1)
- Cultural complexity (1)
- Cultural economics (1)
- Current measurement (1)
- Custodiol-N (1)
- Cutting forces (1)
- Cybersecurity (1)
- Data dimension (1)
- Data processing (1)
- Decentralized architecture (1)
- Deep reinforcement learning (1)
- Degradation (1)
- Deloyment (1)
- Delphi study (1)
- Density (1)
- Density gradient (1)
- Deployment (1)
- Deutschland (1)
- Digital Transformation (1)
- Digital competence (1)
- Digital health intervention (1)
- Digital light processing (1)
- Digital technology (1)
- Digital transformation (1)
- Digitale Beteiligung (1)
- Digitale Kompetenz (1)
- Digitale Lehre (1)
- Digitalisierung Betriebsrat (1)
- Digitalization (1)
- Direct 3D printed (1)
- Discriminative convolutional neural network (1)
- Donor motivation (1)
- Donor return (1)
- Donor satisfaction (1)
- Drug repurposing (1)
- Drug screening system (1)
- Ductile grinding (1)
- Dysbiosis (1)
- Early Parkinson’s disease (1)
- Ecology (1)
- Edge box (1)
- Einflussfaktoren (1)
- Elasticity imaging techniques (1)
- Electric drive (1)
- Electric impedance tomography (1)
- Electrical bio-impedance (1)
- Elektromyografie (1)
- Emergency department (1)
- Emergency-situations (1)
- Encapsulation (1)
- Endocrine (1)
- Energiespeicher (1)
- Epidemiology (1)
- Error analysis (1)
- Exercise training (1)
- Experimental study (1)
- Extracorporeal cardiopulmonary resuscitation (1)
- FEM simulation (1)
- Fachkräftemangel (1)
- Facial emotion recognition (1)
- FastCAM (1)
- Feature importance (1)
- Fecal microbiota transplant (1)
- Ferromagnetische Werkstoffe (1)
- Flipped classroom (1)
- Flow reactor (1)
- Fluorescent probes (1)
- Footbath (1)
- Force sensing robot gripper (1)
- Formula (1)
- Fotoausstellung (1)
- Foundational engineering education (1)
- Fremdblut (1)
- Functional imaging (1)
- Funktionsbasierte Testungen (1)
- Führung (1)
- Führungsinstrument (1)
- Führungsrolle (1)
- Führungsverständnis (1)
- GC-MS (1)
- GF30-PEEK (1)
- Gait analysis (1)
- Gear (1)
- Generalisability (1)
- Generative adversarial networks (1)
- Generative models (1)
- Germany (1)
- Gesundheitsförderung (1)
- Gesundheitswesen (1)
- Ginger (1)
- Glycemic modelling (1)
- Glycyrrhetinic acid (1)
- Glykolysis (1)
- Graph convolutional networks (1)
- Graph generative method (1)
- Grindability (1)
- Grinding tool (1)
- Grinding tool wear (1)
- Groove (1)
- Guideline (1)
- Gynaecology (1)
- HF modeling (1)
- Harmonic analysis (1)
- Health care and ICT (1)
- Healthcare (1)
- Healthcare environment (1)
- Hearing impairment (1)
- Heart-lung-machine (1)
- Hepatic clearance (1)
- High flow nasal cannula (1)
- High-flow nasal cannula (1)
- Homecare networks (1)
- Homeoffice (1)
- Hormone replacement therapy (1)
- Hormone therapy (1)
- Hormones (1)
- Hospital hemodialysis unit (1)
- Hospitals (1)
- Host plant influence (1)
- Hotspot (1)
- Human pose estimation (1)
- Human spine (1)
- Human-robot collaboration (1)
- Human-vehicle interaction (1)
- Humidification capacity (1)
- Hybrid Layers (1)
- Hydrotherapy (1)
- Hyperparameter optimization (1)
- Hysteresis loop analysis (1)
- Hysteresis loop model (1)
- Hysteretic lung mechanics (1)
- Hämofiltrationslösung (1)
- Härtemessung (1)
- ICT (1)
- IVGTT (1)
- Identification error (1)
- Image analysis (1)
- Image reconstruction (1)
- Imbalanced data (1)
- Indirect calorimetry (1)
- Industry 4.0 (1)
- Infrastructuring work (1)
- Innovation (1)
- Innovation creation (1)
- Innovation management (1)
- Insertion speed (1)
- Insomnia (1)
- Inspiratory oxygen fraction (1)
- Insulin kinetics (1)
- Insulin modified (1)
- Intelligent video surveillance (1)
- Intensity (1)
- Intensity progression (1)
- Intensive care unit (1)
- Internet of things (1)
- Interprofessional competence (1)
- Interprofessional education (1)
- Interprofessional learning (1)
- Interview (1)
- Intestinal bacteria (1)
- Intubation (1)
- Inverted classroom (1)
- Iran (1)
- Kaiserschnittrate (1)
- Kinetics (1)
- Kitchen plastic bowl (1)
- Klinische Studien (1)
- Knowledge-based system (1)
- Kongressbeitrag (1)
- Kreuzschmerz (1)
- Kynurenine (1)
- Kyphosis (1)
- Körperliche Belastungen (1)
- Künstliche Intelligenz (1)
- LAM (1)
- LSTM (1)
- LWS (1)
- Lactate (1)
- Lagerungsschäden (1)
- Laparoscopy (1)
- Laser (1)
- Laser structuring (1)
- Lateral flow assays (1)
- Learn-TV (1)
- Least squares estimation (1)
- Lignin (1)
- Lipid peroxidation (1)
- Long-term unemployment (1)
- Lossless standby (1)
- Low back pain (1)
- Low-Trauma fracture (1)
- Lumbale Rückenschmerzen (1)
- Lung (1)
- Lung function (1)
- Lung protective ventilation (1)
- Lung ventilation (1)
- Lysosomotropism (1)
- MOOCs (1)
- Major osteoporotic fractures (1)
- Manufacturing quality management (1)
- Mask ventilation (1)
- Maximal voluntary ventilation (1)
- Medical education (1)
- Medienmanagement (1)
- Medizintechnik (1)
- Metabolic (1)
- Metabolites (1)
- Metabolomik (1)
- Metalworking (1)
- Micro-grinding (1)
- Micro-milling (1)
- Microbial ecology (1)
- Microbiome (1)
- Microfluidic (1)
- Microfluidic long-term cell culture (1)
- Microplastic analysis (1)
- Microreactor (1)
- Microreactor (1)
- Microvascular dysfunction (1)
- Microwave (1)
- Mitarbeiterbindung (1)
- Model based (1)
- Monopolar coagulation (1)
- Motion analysis (1)
- Movement detection (1)
- Muscle (1)
- Muskelverspannung (1)
- Muskuloskelettale Gesundheit (1)
- NAT traversal (1)
- NMR spectroscopy (1)
- Neonatal model (1)
- Noise (1)
- Noise model (1)
- Nonintubated thoracic surgery (1)
- Nonlinear systems (1)
- Normung (1)
- Numerical optimization (1)
- Nurse educator (1)
- Nursing education (1)
- Nutrition (1)
- Object classification (1)
- Oleanic acid (1)
- Oleanolic acid (1)
- One-handed technique (1)
- Ontology reasoning (1)
- Optical depth estimation techniques (1)
- Osteoporosis (1)
- Osteoporotic fractures (1)
- Osteoporotische Hauptfraktur (1)
- Outlier data (1)
- Overall fractures (1)
- Overdistention (1)
- Oxy-combustion (1)
- Oxygen therapy (1)
- Oxygenation (1)
- P2P (1)
- PCOS (1)
- Palladium (1)
- Pandemic response (1)
- Parameter estimation (1)
- Parylene (1)
- Pasteurisation (1)
- Pasteurization (1)
- Pediatrics (1)
- Peer-reviewed of the scientific committee (1)
- Performance benefit (1)
- Performance evaluation (1)
- Permutation symmetries (1)
- Pest management (1)
- Pflegetechnologie (1)
- Phenotypes (1)
- Physical activity (1)
- Physiologische Kochsalzlösung (1)
- Physiology (1)
- Physiotherapy education (1)
- Piezoelectric MEMS energy harvesting (1)
- Pilot (1)
- Pix2Pix (1)
- Platanic acid (1)
- Podcast (1)
- Point-of-care diagnostics (1)
- Poisoning (1)
- Polyether ether ketone (1)
- Position recognition (1)
- Positive end expiratory pressure (1)
- Positive end-expiratory pressure (1)
- Post-combustion (1)
- Posterpräsentation (1)
- Postmenopausal women (1)
- Power demand (1)
- Power measurement (1)
- Powertrain (1)
- Practical identifiability (1)
- Pre-combustion (1)
- Prediction (1)
- Predictive maintenance (1)
- Predictive quality analytics (1)
- Premature infan (1)
- Premature infant (1)
- Preprint (1)
- Pressure control ventilation (1)
- Pressure mat (1)
- Privacy (1)
- Privacy protection (1)
- Problem-centered interviews (1)
- Production Line (1)
- Production line (1)
- Prone positioning (1)
- Protein (1)
- Protein degradation (1)
- Protocols (1)
- Prüftechnik (1)
- Pseudosugars (1)
- Psychische Belastungen (1)
- Psychophysiological measures (1)
- Psychophysiological responses (1)
- Psychophysiology (1)
- Public health (1)
- Public key cryptography (1)
- Pulmonary rehabilitation (PR) (1)
- Pulmonary ventilation distribution (1)
- Pyrolysis (1)
- Qualitätssicherung (1)
- Qualitätsverbesserung (1)
- Quantitative analysis (1)
- Quantitative image analysis (1)
- R Shiny application (1)
- RNA (1)
- ROX index (1)
- Radiobeitrag (1)
- Rapid testing (1)
- Rasterstereography (1)
- Recruitment maneuver (1)
- Reference electrode (1)
- Regionale Unterschiede (1)
- Regions of interest (1)
- Reizintensität (1)
- Relational economics (1)
- Relational perspective (1)
- Relationality (1)
- Remote Services (1)
- Remote usability test (1)
- Reproductive (1)
- Requirements Engineering (1)
- Research discourses (1)
- Respiratory and circulatory management (1)
- Respiratory compliance (1)
- Respiratory dysfunction (1)
- Respiratory mechanics (1)
- Respiratory muscle training (1)
- Respiratory rate (1)
- Return to activity (1)
- Return to sport (1)
- Rhodamine B conjugates (1)
- Running (1)
- Running economy (1)
- Running shoes (1)
- Rural (1)
- SARS-CoV-2 (1)
- SaO2–SpO2 bias (1)
- Scherwellenelastografie (1)
- Schmerz (1)
- Scientific computing (1)
- Scoliosis (1)
- Screw engagement (1)
- Security (1)
- Self adaptive algorithm (1)
- Seminar (1)
- Separation of respiration and perfusion (1)
- Sepsis (1)
- Service innovation (1)
- Service management (1)
- Service prototyping (1)
- Shape (1)
- Shapley Values (1)
- Silicon nitride (1)
- Silicon nitride (Si3N4) (1)
- Simulatio (1)
- Single grit diamond scratching (1)
- Slot milling (1)
- Slot-milling (1)
- Small molecules (1)
- Smart clothing (1)
- Smart service (1)
- Smart video surveillance (1)
- Smartphone-based system (1)
- Smoking (1)
- Software Engineering (1)
- Software engineering (1)
- Software prototyping (1)
- Software quality (1)
- SpO2 measurement noise (1)
- Spontaneous breathing (1)
- Stable isotope probing (1)
- State of lumbar muscle (1)
- Stem cell differentiation (1)
- Structure density (1)
- Student achievement (1)
- Studie (1)
- Study duration (1)
- Sub-zero cooling (1)
- Subjective assessment (1)
- Subjective criticality (1)
- Suicide prevention (1)
- Supercritical CO2 (1)
- Surface integrity (1)
- Surface topography (1)
- Surgery (1)
- Surgical tool localisation (1)
- Surgical tool recognition (1)
- Survey (1)
- SusAF (1)
- Sustainable Development Goals (1)
- Sustainable ICT products and services (1)
- Synthesis (1)
- Systematic early dialog (1)
- Systematic review (1)
- Systementwicklung (1)
- Tageszeitung (1)
- Task complexity (1)
- Taxonomy development (1)
- Technologie (1)
- Technology Services (1)
- Technology services (1)
- Telemetry (1)
- Temperature (1)
- Temperature accuracy (1)
- Temperature-dependent tissue parameter (1)
- Test-strategy (1)
- Tetramethylammonium hydroxide (1)
- Therapeutic application (1)
- Thiols (1)
- Tiffeneau test (1)
- Tissue (1)
- Titanium alloy (1)
- Tool life (1)
- Toxikologie (1)
- Traceability (1)
- Traffic scenarios (1)
- Training (1)
- Training frequency (1)
- Trainingsempfehlungen (1)
- Transcultural competence (1)
- Transcultural management (1)
- Transformation (1)
- Transplant failure (1)
- Transplant medicine (1)
- Transurethral resection of bladder tumor (TURBT) (1)
- Trend analysis (1)
- Triterpenoic acids (1)
- Trust (1)
- Turning (1)
- Two-handed technique (1)
- Type of exercise (1)
- UV-Crosslinker (1)
- Ultracentrifugation (1)
- Ultrashort pulse laser (1)
- Ultrasonic (1)
- Usability (1)
- Usability evaluation (1)
- Usability testing (1)
- VR experience (1)
- Venoarterial ECMO (1)
- Ventilation (1)
- Ventilation distribution (1)
- Ventilation–perfusion matching (1)
- Veranstaltungsformate (1)
- Verifiability (1)
- Vertebral fracture (1)
- Virtual Reality (1)
- Virtual patient (1)
- Virtual reality (VR) (1)
- Virus (1)
- Vision use cases (1)
- Visual impairment (1)
- Volume control ventilation (1)
- Wafer-level-integrated micromagnets (1)
- Washing machines (1)
- Wearables (1)
- Web-Based-Training (1)
- Weichmacher (1)
- Wheel loading ratio (1)
- Willow (1)
- Wireless sensor nodes WSN (1)
- XAI (1)
- Zelldifferenzierung (1)
- Zellkultur (1)
- Zeolite (1)
- Zero-power wakeup (1)
- Zingiber officinale (1)
- Zweisprachig (1)
- hochschulische Ausbildung (1)
- mHealth-app (1)
- miRNAs (1)
- xAI (1)
- Übersichtsarbeit (1)
Course of studies
Elevators contribute significantly to the electricity consumption of residential buildings, office buildings and commercial enterprises. In this paper, the electricity consumption is investigated using an elevator system and its individual operating states as example. In addition to analyzing and allocating the energy demand, this work examines how the individual operating states can be determined solely on the basis of the power consumption of the elevator. The knowledge gained from this, such as the usage behavior, the travel profile, or load, is determined independently of the elevator control system. A subsequent installation on any system can be easily realized. In this work, the investigated elevator requires a substantial part of the total annual power consumption in standby (>90 %). This shows an enormous potential for energy savings. The individual elevator states, as well as the load, can be detected very well on the basis of the measured total power consumption. The work thus shows exemplary the potential of an intelligent measurement system for the state detection of elevator systems.
In several domains of product design - like medical device design -
risk related use scenarios have to be analyzed in an early stage of design process.
Virtual reviews with users make it possible to get early insights in use problems.
Also, situations that are difficult to imitate in reality can be modeled and simulated
in virtual reality without risking the health of user. Therefore, virtual usability
tests are a promising approach which allow testing different scenarios under
controlled conditions. We chose a sample scenario from medical device design
and compare and evaluate different technical systems which can be used for virtual
usability tests. Aim is to derive guidance for virtual usability tests including
systems that can be used for specific conditions and the qualitative and quantitative
data, which can be collected with these systems. A formative test is performed
to evaluate and compare different systems. Also, a summative test is performed
to evaluate the selected systems. Results show that virtual usability tests
make it possible to test scenarios with users in an early stage and thus to encounter
possible interaction problems. But there are also many additional and new
things to consider compared to normal usability tests, such as checking motion
sickness, maintaining presence and the extensive operation of the technology.
Finally, a proposed method for virtual usability testing is described which also
comprises our equipment recommendations for virtual usability tests.
Operations within a Cyber Physical System (CPS) environment are naturally diverse and the resulting data sets include complex relations between sensors of the shopfloor devices setup, their configuration respectively. As Machine Learn- ing (ML) can increase the success of industrial plants in a variety of cases, like smart controlling, intrusion detection or predictive maintenance, clarifying responsibilities and operations for the whole lifecycle supports evaluating the potentially feasible scenarios. In this work, the need for highly configurable and flexible modules is demonstrated by depicting the complex possibilities of extending simple Machine Learning Operations (MLOps) pipelines with additional data sources, e.g., sensors. In addition to the particular modules core functionality, arbitrary evaluation logic or data structure specific anomaly detection can be integrated into the pipeline. With the creation of audit-trails for all operational modules, automated reports can be generated for increasing the accountability of the different physical devices and the data related processing. The concept is evaluated in the context of the project Collaborative Smart Contracting Platform for digital value-added Networks (KOSMoS), where a sensor is part of an ML pipeline and audit trails are realized using Blockchain (BC) technology.
Evolutionary strategy is increasingly used for optimization in various machine learning problems. It can scale very well, even to high dimensional problems, and its ability to globally self optimize in flexible ways provides new and exciting opportunities when combined with more recent machine learning methods. This paper describes a novel approach for the optimization of models with a data driven evolutionary strategy. The optimization can directly be applied as a preprocessing step and is therefore independent of the machine learning algorithm used. The experimental analysis of six different use cases show that, on average, better results are attained than without evolutionary strategy. Furthermore it is shown, that the best individual models are also achieved with the help of evolutionary strategy. The six different use cases were of different complexity which reinforces the idea that the approach is universal and not depending on specific use cases.
In this work, the comparability of the cooling effect of two Peltier elements from different manufacturers is investigated for cooling the reagent module of a chemiluminescence analyzer. The temperature inside the reagent module is measured and evaluated at several positions. In this study, two different types of verification tests are performed under extreme climatic conditions. On the one hand, in a specific functional “cold start test”, the temperature in the reagent module is measured and evaluated to determine whether the measured temperatures are within the specified temperature range after the specified time. In addition, the performance of the Peltier elements is also evaluated. On the other hand, as an unspecific regression stress test, a “smoke test” is performed that is mainly designed to allow identifying unpredictable events. While processing a long and
complex work list, any deviant system behavior can be detected. Again, the temperature inside the reagent module should not exceed the specified temperature range.
Parylene-C is a multifunctional polymer coating in the coating industry. In medical technology, it is approved for implants due to its biocompatibility. For example, it is used as a coating for electronic components and parts. The problem is that Parylene-C alone is too permeable to body water and the ions that are dissolved in it. Application as a coating material for long-term implants is therefore not possible. The infiltrating water not only corrodes the electronic components, but also reduces the adhesion between the Parylene-C and the coated surface. Therefore, layer systems of metal oxides and polymers are used for encapsulation. The aim of this work is to find out how different layer systems behave in relation to their water vapour transmission. Thicker systems should allow less water vapour to pass through than thinner ones. The task is to find this out using the test method for water vapour transmission barriers and to determine the water vapour transmission rate. It has been proven that in some cases the thicker layers performed worse than the thinner layer systems by a factor of ten. It has been shown that there is a relationship between the base substrate thickness, the thickness of the layer system and their flexibility.
Senatsausschuss Mobilität
(2022)
Ein Muss für jede Sifa
(2022)
Brennstoffzellen
(2022)
Cytokine Adsorber Use during DCD Heart Perfusion Counteracts Coronary Microvascular Dysfunction
(2022)
A simulation-based approach for measuring the performance of human-AI collaborative decisions
(2022)
Despite the widespread adoption of artificial intelligence and machine learning for decision-making in organizations, a wealth of research shows that situations that involve open-ended decisions (novel contexts without predefined rules) will continue to require humans in the loop. However, such collaboration that blends formal machine and bounded human rationality also amplify the risk of what is known as local rationality, which is when rational decisions in a local setting lead to globally dysfunctional behavior. Therefore, it becomes crucial, especially in a data-abundant environment that characterizes algorithmic decision-making, to devise means to assess performance holistically, not just for decision fragments. There is currently a lack of quantitative models that address this issue.
Despite the unabated growth of algorithmic decision-making in organizations, there is a growing consensus that numerous situations will continue to require humans in the loop. However, the blending of a formal machine and bounded human rationality also amplifies the risk of what is known as local rationality. Therefore, it is crucial, especially in a data-abundant environment that characterizes algorithmic decision-making, to devise means to assess performance holistically. In this paper, we propose a simulation-based model to address the current lack of research on quantifying algorithmic interventions in a broader organizational context. Our approach allows the combining of causal modeling and data science algorithms to represent decision settings involving a mix of machine and human rationality to measure performance. As a testbed, we consider the case of a fictitious company trying to improve its forecasting process with the help of a machine learning approach. The example demonstrates that a myopic assessment obscures problems that only a broader framing reveals. It highlights the value of a systems view since the effects of the interplay between human and algorithmic decisions can be largely unintuitive. Such a simulation-based approach can be an effective tool in efforts to delineate roles for humans and algorithms in hybrid contexts.