Search Results for author:
Found 11 papers, 4 papers with code
Test-Time Personalization with Meta Prompt for Gaze Estimation
Despite the recent remarkable achievement in gaze estimation, efficient and accurate personalization of gaze estimation without labels is a practical problem but rarely touched on in the literature.
Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare
However, due to the limitations of wearable IoT devices, challenges in data privacy, service integrity, and network structure adaptability arose.
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction
The paper proposes a novel hybrid discovery Radiomics framework that simultaneously integrates temporal and spatial features extracted from non-thin chest Computed Tomography (CT) slices to predict Lung Adenocarcinoma (LUAC) malignancy with minimum expert involvement.
Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19
We focus on two personal devices that are intimate to the user: smartphones and wearables.
Deep Learning and Machine Vision for Food Processing: A Survey
The quality and safety of food is an important issue to the whole society, since it is at the basis of human health, social development and stability.
BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities
The Internet of Things helps to have every individual interconnected with their surroundings and to interact with them through smart devices.
Networking and Internet Architecture Social and Information Networks
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution
We present Trade Execution using Reinforcement Learning (TradeR) which aims to address two such practical challenges of catastrophy and surprise minimization by formulating trading as a real-world hierarchical RL problem.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
Energy-based Surprise Minimization for Multi-Agent Value Factorization
(2) EMIX highlights a practical use of energy functions in MARL with theoretical guarantees and experiment validations of the energy operator.
Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach
More precisely, a user is notified of their exposure based on their interactions, in terms of distance and time, with a patient.
COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing
SCT's contribution is two-fold: a) classification of the user's contact as high/low-risk using precise proximity sensing, and b) user anonymity using a privacy-preserving communications protocol.
Memoryless Techniques and Wireless Technologies for Indoor Localization with the Internet of Things
In recent years, the Internet of Things (IoT) has grown to include the tracking of devices through the use of Indoor Positioning Systems (IPS) and Location Based Services (LBS).
