top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
ACM DEV-4 : proceedings of the 4th annual Symposium on Computing for Development : December 6-7, 2013, University of Cape Town, Cape Town, South Africa
ACM DEV-4 : proceedings of the 4th annual Symposium on Computing for Development : December 6-7, 2013, University of Cape Town, Cape Town, South Africa
Autore Tucker William D
Pubbl/distr/stampa [Place of publication not identified], : ACM, 2013
Descrizione fisica 1 online resource (176 pages)
Collana ACM Other conferences
Soggetto topico Electrical & Computer Engineering
Engineering & Applied Sciences
Electrical Engineering
ISBN 1-4503-2558-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Proceedings of the 4th annual Symposium on Computing for Development
ACM DEV-4
Annual Symposium on Computing for Development, Cape Town, South Africa - December 06 - 07, 2013
Record Nr. UNINA-9910375718303321
Tucker William D  
[Place of publication not identified], : ACM, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emerging Technologies for Developing Countries : 6th EAI International Conference, AFRICATEK 2023, Arusha, Tanzania, December 11–13, 2023, Proceedings / / edited by Muthoni Masinde, Sabine Möbs, Antoine Bagula
Emerging Technologies for Developing Countries : 6th EAI International Conference, AFRICATEK 2023, Arusha, Tanzania, December 11–13, 2023, Proceedings / / edited by Muthoni Masinde, Sabine Möbs, Antoine Bagula
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (210 pages)
Disciplina 004
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Artificial intelligence
Microprogramming
Computer Communication Networks
Artificial Intelligence
Control Structures and Microprogramming
ISBN 9783031639999
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Smart Infrastructure and Urban Management -- Review of Smart Parking Occupancy Prediction Models in Nairobi City: Strengths, Weaknesses, and Research Gaps -- An Internet of Things and Smart Cities Frameworks Implementation in Municipalities: A Systematic Literature Review -- Accessibility Features for Augmented Reality Indoor Navigation Systems -- 2 Data Security and Digital Technologies -- Adopting Blockchain for Enhancing Data Security and Privacy in Service-based Digital Platforms: A Case Study of a Distributed Application (Dapp) Global Mission Services -- 3 Economic Growth and Social Development -- Designing a Big Data Analytic Tool for Predicting Girl Child Learner Drop Out in the Eastern Cape Province of South Africa -- 4 Health and Well-being -- A Machine Learning Approach to Mental Disorder Prediction: Handling the Missing Data Challenge -- Towards a Smart Healthcare System for Non-Communicable Disease (NCDs) Management: A Bibliometric Analysis -- A Systematic Review on the use of AI-Powered Cloud Computing for Healthcare Resilience -- 5 Sustainability and Environmental Management -- Predicting Malaria Outbreak using Indigenous Knowledge and Fuzzy Cognitive Maps: A Case Study of Vhembe District in South Africa -- Integration of IK, Satellite Imagery Data, Weather Data and Time Series Models in Season Behavior Predictions. Case of Swayimane, KZN, South Africa -- State-of-the-art Review on Recent Trends in Automatic Speech Recognition.
Record Nr. UNINA-9910869173303321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emerging Technologies for Developing Countries [[electronic resource] ] : 5th EAI International Conference, AFRICATEK 2022, Bloemfontein, South Africa, December 5-7, 2022, Proceedings / / edited by Muthoni Masinde, Antoine Bagula
Emerging Technologies for Developing Countries [[electronic resource] ] : 5th EAI International Conference, AFRICATEK 2022, Bloemfontein, South Africa, December 5-7, 2022, Proceedings / / edited by Muthoni Masinde, Antoine Bagula
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (231 pages)
Disciplina 060
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Artificial intelligence
Microprogramming
Computer Communication Networks
Artificial Intelligence
Control Structures and Microprogramming
ISBN 3-031-35883-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Education in the 4IR Era -- Reinforcement Learning in Education: A Multi-Armed Bandit Approach -- Assessing Institutional Readiness for the Fourth Industrial Revolution: Using Learning Analytics to Improve Student Experiences -- M-learning during COVID-19: A Systematic Literature Review -- Opportunities for driving Efficiencies and Effectiveness -- Archiving 4.0: Dataset Generation and Facial recognition of DRC political Figures Using Machine Learning -- On the Machine Learning Models To Predict Town-scale Energy Consumption In Burkina Faso -- Application of Latent Dirichlet Allocation topic model in identifying 4IR Research Trends -- A conceptual model for the digital inclusion of SMMEs in the Informal Sector in South Africa - The use of Blockchain Technology to access loans -- Key 4IR Baseline Architectures -- Multiple Robotic Formation Control Based on Differential Flatness -- A Comparison of Publish-Subscribe and Client-Server Models for Streaming IoT Telemetry data -- Fourth industrial revolution research outputs in Africa: A bibliometric review -- Modelling DDoS Attacks in IoT Networks using Machine Learning -- Application of 4IR in Environment and Agriculture Monitoring -- Towards a microservice-based middleware for a multi-hazard early warning system -- Indigenous Knowledge mobile-based application that quantifies farmers’ season predictions with the help of scientific knowledge -- Weed Identification in Plant Seedlings Using Convolutional Neural Networks.
Record Nr. UNISA-996546838303316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Emerging Technologies for Developing Countries : 5th EAI International Conference, AFRICATEK 2022, Bloemfontein, South Africa, December 5-7, 2022, Proceedings / / edited by Muthoni Masinde, Antoine Bagula
Emerging Technologies for Developing Countries : 5th EAI International Conference, AFRICATEK 2022, Bloemfontein, South Africa, December 5-7, 2022, Proceedings / / edited by Muthoni Masinde, Antoine Bagula
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (231 pages)
Disciplina 060
338.064091724
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Artificial intelligence
Microprogramming
Computer Communication Networks
Artificial Intelligence
Control Structures and Microprogramming
ISBN 3-031-35883-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Education in the 4IR Era -- Reinforcement Learning in Education: A Multi-Armed Bandit Approach -- Assessing Institutional Readiness for the Fourth Industrial Revolution: Using Learning Analytics to Improve Student Experiences -- M-learning during COVID-19: A Systematic Literature Review -- Opportunities for driving Efficiencies and Effectiveness -- Archiving 4.0: Dataset Generation and Facial recognition of DRC political Figures Using Machine Learning -- On the Machine Learning Models To Predict Town-scale Energy Consumption In Burkina Faso -- Application of Latent Dirichlet Allocation topic model in identifying 4IR Research Trends -- A conceptual model for the digital inclusion of SMMEs in the Informal Sector in South Africa - The use of Blockchain Technology to access loans -- Key 4IR Baseline Architectures -- Multiple Robotic Formation Control Based on Differential Flatness -- A Comparison of Publish-Subscribe and Client-Server Models for Streaming IoT Telemetry data -- Fourth industrial revolution research outputs in Africa: A bibliometric review -- Modelling DDoS Attacks in IoT Networks using Machine Learning -- Application of 4IR in Environment and Agriculture Monitoring -- Towards a microservice-based middleware for a multi-hazard early warning system -- Indigenous Knowledge mobile-based application that quantifies farmers’ season predictions with the help of scientific knowledge -- Weed Identification in Plant Seedlings Using Convolutional Neural Networks.
Record Nr. UNINA-9910734855803321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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

Opere

Altro...

Lingua di pubblicazione

Altro...

Data

Data di pubblicazione

Altro...