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.
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||