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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Autore Kyamakya Kyandoghere
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (550 p.)
Soggetto topico Technology: general issues
Soggetto non controllato activity recognition
affective computing
affective corpus
aging adults
arousal
arousal detection
artificial intelligence
automatic facial emotion recognition
auxiliary loss
behavioral biometrical systems
benchmarking
boredom
center of pressure
class center
classification
cognitive load
computer science
convolutional neural network
convolutional neural networks
correlation statistics
data transformation
dataset
deep convolutional neural network
deep learning
deep neural network
dilated convolutions
driving stress
EEG
elderly caring
electrocardiogram
electrodermal activity
electrodermal activity (EDA)
electroencephalography
emotion
emotion classification
emotion elicitation
emotion monitoring
emotion recognition
emotion representation
expert evaluation
face landmark detection
facial detection
facial emotion recognition
facial expression recognition
facial landmarks
feature extraction
feature selection
flight simulation
frustration
fully convolutional DenseNets
GSR
head-mounted display
homography matrix
human-computer interaction
in-ear EEG
information fusion
infrared thermal imaging
intensity of emotion recognition
interest
long short-term memory recurrent neural networks
long-term stress
machine learning
mental stress detection
multimodal sensing
multimodal sensors
musical genres
n/a
normalization
outpatient caring
overload
pain recognition
perceived stress scale
physiological sensing
physiological signal processing
physiological signals
psychophysiology
quantitative analysis
regression
respiration
road traffic
road types
sensor
sensor data analysis
signal analysis
signal processing
similarity measures
skip-connections
smart band
smart insoles
smart shoes
socially assistive robot
stress
stress detection
stress recognition
stress research
stress sensing
subject-dependent emotion recognition
subject-independent emotion recognition
thoracic electrical bioimpedance
time series analysis
transfer learning
underload
unobtrusive sensing
valence detection
Viola-Jones
virtual reality
wearable sensors
weighted loss
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557346003321
Kyamakya Kyandoghere  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Transportation Related Complex Systems and Sensors
Intelligent Transportation Related Complex Systems and Sensors
Autore Kyamakya Kyandoghere
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (494 p.)
Soggetto topico Technology: general issues
Soggetto non controllato abnormal road surface
acceleration sensor
adaptive feature extractor
advanced traveler information systems (ATIS)
amplitude modulation
artificial neural networks
artificial potential field
automatic rail-surface-scratch recognition and computation
autonomous vehicle
bicycle sharing systems
BSS underlying network
complete closed mesh model
connected vehicles
contrast enhancement
convolutional neural networks
crash risk modeling
dark channel prior
data visualization
data-driven classification of trips
decentralized control
deep neural network
descriptive analytics
driving emotions
driving safety
driving simulator studies
driving stress
EKF
expectation maximization
frequency modulation
game theory
Gaussian background model
hazardous materials
heart rate
highway safety
human-like
hyper parameter optimization
image dehazing
in-cylinder pressure identification
intelligent transportation systems
Intelligent Transportation Systems (ITS)
ITS
ITS services
Kalman filter
large-scale network control
level of market penetration rate
license plate data
lifestyle
low-cost sensor
machine learning
matrix inversion
metro
microscopic traffic data
model predictive control
n/a
neural artistic extraction
neural network
noise problem in time-varying matrix inversion
objectification
obstacle avoidance
online rail-repair
operations research
particle filter
plate scanning
predictive analytics
prescriptive analytics
probe vehicle
public transport systems
railway intrusion detection
railway maintenance
real world experiment
real-time estimation
real-time fast computing
recurrent neural network (RNN)
ride comfort
RNN-based solver
road safety
road surface recognition
route choice behavior
safety performance function
scene recognition
scene segmentation
sensor location problem
sensor synchronization
sensors
shortest path problem
simulation
smartphone sensing
spatial-temporal correlation
spatio-temporal traffic modeling
speed iteration model
subjective evaluation
surrogate safety measures
time-varying matrix
traffic density
traffic flow estimation
traffic modelling
traffic signal control
traffic state prediction
traffic video dehazing
trajectory reconstruction
transportation
travel time information system
triangulation algorithm
trip chain
trip index
trucking
turning state transit
urban rail transit interior noise
user flow forecast
variable speed limits
vehicle matching
vehicle routing problem
vehicle trajectory prediction
XGBoost classifier
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557345603321
Kyamakya Kyandoghere  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Energy Systems, Power and Related Smart Technologies : Concepts and Innovative Implementations for a Sustainable Economic Growth in Developing Countries / / edited by Kyandoghere Kyamakya, Pitshou Ntambu Bokoro
Recent Advances in Energy Systems, Power and Related Smart Technologies : Concepts and Innovative Implementations for a Sustainable Economic Growth in Developing Countries / / edited by Kyandoghere Kyamakya, Pitshou Ntambu Bokoro
Autore Kyamakya Kyandoghere
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (545 pages)
Disciplina 333.79
Altri autori (Persone) BokoroPitshou Ntambu
Collana Studies in Systems, Decision and Control
Soggetto topico Electric power production
Renewable energy sources
Electric power distribution
Electrical Power Engineering
Renewable Energy
Energy Grids and Networks
ISBN 9783031295867
3031295862
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Assessing control of battery-super capacitor hybrid storage system in photovoltaic based DC microgrid -- Batteries, energy storage technologies, energy-efficient systems, power conversion topologies, and related control techniques -- Generation expansion planning using renewable energy sources using storage -- A Smart Grid Ontology for Africa -- Smart Microgrid Energy Management with Renewable Energy Sources and Local SCADA -- Improving electricity supply reliability: a case study of remote communities of Limpopo in South Africa -- Control of grid-connected voltage source converters during unsymmetrical faults -- Power quality control of a PV assisted realistic microgrid structure -- Harmonics Reduction by Distributed Power Flow Control Using FACTs Devices in Power Supply -- Advances in protection and testing of power distribution systems within emerging markets -- Green energy for sustainable agriculture: design and testing of an innovative greenhouse with an energy-efficient cooling system powered by a hybrid energy system for urban agriculture -- Comparative study of solar and geothermal renewable energy resources for desalination of sea water with latest case studies -- The impact of market-based policies on access to electricity and sustainable development in Sub-Saharan Africa -- Development of OTP based switch system for power system Infrastructure security and personnel safety -- Artificial neural net based performance index for voltage security assessment -- Multi-class classification of power network states using multi-dimensional neural network -- Data farming in a smart low voltage distribution system -- Decision making approach using fuzzy logic and rough set theory for power quality monitoring index of microgrids -- Enabling technologies in IoT: energy, sensors, cloud computing, communication, integration, standards -- Secure group communication among IoT components in smart cities -- SCPS: An IoT based smart car parking system -- A Comprehensive summary of the contributions and quintessence of this book.
Record Nr. UNINA-9910760286703321
Kyamakya Kyandoghere  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support / / edited by Kyandoghere Kyamakya, Fadi Al Machot, Habib Ullah, Florenc Demrozi
Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support / / edited by Kyandoghere Kyamakya, Fadi Al Machot, Habib Ullah, Florenc Demrozi
Autore Kyamakya Kyandoghere
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (290 pages)
Disciplina 006.3
Altri autori (Persone) Al MachotFadi
UllahHabib
DemroziFlorenc
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Machine learning
User interfaces (Computer systems)
Human-computer interaction
Computational Intelligence
Machine Learning
User Interfaces and Human Computer Interaction
ISBN 9783031718212
3031718216
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Decoding Human Essence Novel Machine Learning Techniques and Sensor Applications in Emotion Perception and Activity Detection -- Leveraging Context-Aware Emotion and Fatigue Recognition through Large Language Models for Enhanced Advanced Driver Assistance Systems ADAS -- ECG based Human Emotion Recognition Using Generative Models -- An evolutionary convolutional neural network architecture for recognizing emotions from EEG signals -- Analyzing the Potential Contribution of a Meta Learning Approach to Robust and Effective Subject Independent Emotion related Time Series Analysis of Bio signals -- A Multibranch LSTM CNN Model for Human Activity Recognition -- Importance of Activity and Emotion Detection in the field of Ambient Assisted Living -- Real Time Human Activity Recognition for the Elderly VR Training with Body Area Networks -- An Interactive Metamodel Integration Approach IMIA for Active and Assisted Living Systems.
Record Nr. UNINA-9910906293803321
Kyamakya Kyandoghere  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui