yusuke1997/dblp-id-title huggingface dataset:
Secure Data Aggregation in Cultural Heritage Monitoring: NMEC Case Study
Evaluating Secure Variants of the MQTT Protocol on Resource-Constraint Devices for Precision Agriculture
Fast Adaptive Handover using Fuzzy Logic for 5G Communications on High Speed Trains
Analysis of Open Access Data Sources for Application in Precision Agriculture
Web-based transport management tool-suite (KeepOperational) for crisis management
A Non-Interfering Radio Communication System for the SKA Astronomy Project: 1570902849 Contel 2023
Detection of attacks and intrusions on automotive engine IoT sensors
A Scalable Infrastructure for Continuous State of Polarisation Monitoring for Revealing Security and Vulnerability Impacts in Optical Networks
The impact of mobile device factors on QoE for multi-party video conferencing via WebRTC
Vectored VDSL2: Theoretical possibilities on quad cables
Some Notes on Phase Noise Generation and the Impact on DVB-S2x Waveforms
A game theoretic formulation of the technical debt management problem in cloud systems
ICT-assisted personalized therapy and rehabilitation in urinary incontinence
Full-duplex bidirectional communication under self-interference
15th International Conference on Telecommunications, ConTEL 2019, Graz, Austria, July 3-5, 2019
The first tests of smartphone camera exposure effect on optical camera communication links
Comparison of the CUPUS middleware and MQTT protocol for smart city services
Experimental Investigation of the Effects of Fog on Optical Camera-based VLC for a Vehicular Environment
Why Interoperability Matters to Your or Any IoT Solution
Video production systems for videoconferencing and distance learning solutions
Cooperative Spectrum Sensing Approach in C-V2X based on Multi-Agent Reinforcement Learning
An adaptive large neighbourhood search for designing transparent optical core network
A dynamic data routing solution for opportunistic networks
A Flexible OLED based VLC Link with m-CAP Modulation
Industry 4.0 Solutions for Pulp and Paper Industries
Channel Emulation of Satellite-to-Ground APD-based FSO Link in the Presence of Atmospheric Turbulence Fading
A Path Loss Model for Vehicle-to-Vehicle Visible Light Communications
Advanced Handover Self-optimization Approach for 4G/5G HetNets Using Weighted Fuzzy Logic Control
APD and SPAD Receivers : Invited Paper
Review on Low-Power Consumption Techniques for FPGA-based designs in IoT technology
Medical WSN: Power, routing and selective forwarding defense
Cooperative spectrum sensing in real channel conditions
e-Consultation: Automatic system for online consultations
University collaboration in creating and implementing innovative intensive programme focussed on ICT
Session level network usage patterns of mobile handsets
OOCWC: The robocar world championship initiative
Approach to QoS Prediction Leveraging Impact of Beaulieu-Xie Fading and κ-µ Co-Channel Interference on SC Diversity Receiver Outage Probability
Trends in evolution of the network traffic of Massively Multiplayer Online Role-Playing Games
Transport layer fairness revisited
10 GBPS flow aggregation using commodity hardware
Low-Cost Wireless Sensor Node for Smart Agriculture Applications
Analysis of ICT-based assistive solutions for people with disabilities
Investigation of the Relationship between Subjective and Objective Video Quality Metrics for Multiparty Video Calls on Mobile Devices
Convergence in communications and E-Privacy regulatory challenges, with a local perspective
Channel estimation and iterative equalization for long-haul coherent optical OFDM communication systems
Requirements for the next generation Public Warning and Alert System for Austria
Tackling Trust and Scalability of the Blockchain-Based Shared Manufacturing Concept
THz communications and relations to frequency domain THz spectroscopy
Smart Virtual Care Centers in the Context of Performance and Privacy
Channel gain and frame error rate for optical street lighting communication
Dynamic spectrum access and the current spectrum management paradigm: On the challenges of dynamic licensing
A Self-Contained, Single-Chip Amperometric Measurement Platform for Biomedical Applications
5G and Radio Access Network architecture
International forest firefighting concepts based on aerial support strategies
14th International Conference on Telecommunications, ConTEL 2017, Zagreb, Croatia, June 28-30, 2017
Performance analysis of CDMA-based networks with interference cancellation, for batched Poisson traffic under the bandwidth reservation policy
The importance of face-to-face teaching at fundamental telecommunication courses
Evaluation of TETRA SDS Performance and GPS Accuracy in Real-World Scenarios
Evaluation of Inter-Dataset Generalisability of Autoencoders for Network Intrusion Detection
Security framework for visual sensors and smart camera networks
Experimental Evaluation of LED-Based Wearable Transmitter for Optical Camera Communications Systems
Leveraging Wake-Up Radios in UAV-Aided LoRa Networks: Some Preliminary Results on a Random-Access Scheme
Real-time wireless UWB sensor network for person monitoring
Heterogeneous autonomous robotic system in viticulture and mariculture - project overview
Call Blocking Probabilities in a Two-Link Loss Model with Restricted Accessibility
Prototype-driven software development process for augmentative and alternative communication applications
13th International Conference on Telecommunications, ConTEL 2015, Graz, Austria, July 13-15, 2015
Anomaly Correction in Time Series Data for Improved Forecasting
E-Content and Tool Selection in the Cloud-based Online-CADCOM Platform for Computer-Aided Design in Communications
Impact of dimming and aperture on the optical wireless performance in public street lighting
Towards context classification and reasoning in IoT
Impedance considerations for inductive coupling in the EMVCo test environment
Applicability of IEEE 802.11s for automotive wireless software updates
QoE maximizing bitrate control for live video streaming on a mobile uplink
Beam Quality Factor and Its Effect on Laser Beam through Anisotropic Turbulence for OWC
Terabit-throughput GEO satellite optical feeder link testbed
Experimental results for a proposal of adaptative mechanism based on SNRs variation in infrastructured wireless networks
Design and Evaluation of an Accessible Mobile AR Application for Learning About Geometry
Visual Light Sensing for IoT Sensor Networks: A Use Case for Monitoring Rotating Shaft Conditions in Industrial Applications
Using Web Server Logs to Identify and Comprehend Anomalous User Activity
Flight: A Flexible Light Communications network architecture for indoor environments
Analyzing Web Security Features using Crawlers: Study of Croatian Web
Random forest based classification of retroreflective foils for visible light sensing of an indoor moving object
Smart Home Notifications in Croatian Language: A Transformer-Based Approach
Front-end solution for enhancing web sites accessibility
A study on the efficiency of learning a robot controller in various environments
On-policy Q-learning for adaptive optimal control
Data-driven partially observable dynamic processes using adaptive dynamic programming
Multiagent reinforcement learning in extensive form games with complete information
Directed exploration of policy space using support vector classifiers
Multi-objective reinforcement learning for AUV thruster failure recovery
Higher-level application of Adaptive Dynamic Programming/Reinforcement Learning - a next phase for controls and system identification?
Executing concurrent actions with multiple Markov decision processes
Tunable and generic problem instance generation for multi-objective reinforcement learning
Bias-corrected Q-learning to control max-operator bias in Q-learning
Convergent reinforcement learning control with neural networks and continuous action search
Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem
An adaptive-learning framework for semi-cooperative multi-agent coordination
Practical numerical methods for stochastic optimal control of biological systems in continuous time and space
Theoretical analysis of a reinforcement learning based switching scheme
Adaptive computation of optimal nonrandomized policies in constrained average-reward MDPs
Integrating sporadic imitation in Reinforcement Learning robots
A unified framework for temporal difference methods
Near-optimality bounds for greedy periodic policies with application to grid-level storage
Feedback controller parameterizations for Reinforcement Learning
Value function approximation and model predictive control
Reinforcement learning to train Ms. Pac-Man using higher-order action-relative inputs
Bounds of optimal learning
N-step optimal time-invariant trajectory tracking control for a class of nonlinear systems
Learning continuous-action control policies
Accelerated gradient temporal difference learning algorithms
Policy search with cross-entropy optimization of basis functions
A theoretical and empirical analysis of Expected Sarsa
Protecting against evaluation overfitting in empirical reinforcement learning
Adaptive optimal control for nonlinear discrete-time systems
Safe reinforcement learning in high-risk tasks through policy improvement
Active exploration for robot parameter selection in episodic reinforcement learning
Global optimal strategies of a class of finite-horizon continuous-time nonaffine nonlinear zero-sum game using a new iteration algorithm
Adaptive aggregated predictions for renewable energy systems
Free energy based policy gradients
ADP-based optimal control for a class of nonlinear discrete-time systems with inequality constraints
Kalman Temporal Differences: The deterministic case
Application of reinforcement learning-based algorithms in CO2 allowance and electricity markets
Tree-based variable selection for dimensionality reduction of large-scale control systems
Exploring the relationship of reward and punishment in reinforcement learning
On the coordination system for the dimensionality-reduced inputs of mario
Real-time tracking on adaptive critic design with uniformly ultimately bounded condition
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013, IEEE Symposium Series on Computational Intelligence (SSCI), 16-19 April 2013, Singapore
Neural-network-based reinforcement learning controller for nonlinear systems with non-symmetric dead-zone inputs
Model-free Q-learning over finite horizon for uncertain linear continuous-time systems
Parametric value function approximation: A unified view
Using reward-weighted imitation for robot Reinforcement Learning
On learning with imperfect representations
Approximate reinforcement learning: An overview
Adaptive dynamic programming for discrete-time LQR optimal tracking control problems with unknown dynamics
Analyzing collective behavior in evolutionary swarm robotic systems based on an ethological approach
Optimistic planning for sparsely stochastic systems
Nonparametric infinite horizon Kullback-Leibler stochastic control
Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning
Reinforcement learning-based optimal control considering L computation time delay of linear discrete-time systems
Bayesian active learning with basis functions
High-order local dynamic programming
Path integral control and bounded rationality
Optimal control for a class of nonlinear systems with state delay based on Adaptive Dynamic Programming with ε-error bound
Neuro-controller of cement rotary kiln temperature with adaptive critic designs
Subspace identification for predictive state representation by nuclear norm minimization
Fitted policy search
Adaptive dynamic programming with balanced weights seeking strategy
Cognitive control in cognitive dynamic systems: A new way of thinking inspired by the brain
Optimized look-ahead trees: Extensions to large and continuous action spaces
Optimistic planning for belief-augmented Markov Decision Processes
A convergent recursive least squares approximate policy iteration algorithm for multi-dimensional Markov decision process with continuous state and action spaces
Grounding subgoals in information transitions
A combined hierarchical reinforcement learning based approach for multi-robot cooperative target searching in complex unknown environments
Online near optimal control of unknown nonaffine systems with application to HCCI engines
Enhancing the episodic natural actor-critic algorithm by a regularisation term to stabilize learning of control structures
Continuous-time differential dynamic programming with terminal constraints
An analysis of optimistic, best-first search for minimax sequential decision making
The knowledge gradient algorithm for online subset selection
A novel approach for constructing basis functions in approximate dynamic programming for feedback control
Active exploration by searching for experiments that falsify the computed control policy
A data-based online reinforcement learning algorithm with high-efficient exploration
A reinforcement learning algorithm developed to model GenCo strategic bidding behavior in multidimensional and continuous state and action spaces
Local stability analysis of high-order recurrent neural networks with multi-step piecewise linear activation functions
Model-building semi-Markov adaptive critics
Evolutionary value function approximation
Coupling perception and action using minimax optimal control
Moving least-squares approximations for linearly-solvable MDP
An approximate Dynamic Programming based controller for an underactuated 6DoF quadrotor
Convergence of value iterations for total-cost MDPs and POMDPs with general state and action sets
Adaptive sample collection using active learning for kernel-based approximate policy iteration
2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, ADPRL 2011, Paris, France, April 12-14, 2011
Model-based multi-objective reinforcement learning
Path integral-based stochastic optimal control for rigid body dynamics
Near optimal control of mobile robot formations
Algorithm and stability of ATC receding horizon control
Exponential moving average Q-learning algorithm
Optimistic planning for continuous-action deterministic systems
Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning
ADHDP(λ) strategies based coordinated ramps metering with queuing consideration
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2014, Orlando, FL, USA, December 9-12, 2014
Complex object manipulation with hierarchical optimal control
Active learning for classification: An optimistic approach
Agent self-assessment: Determining policy quality without execution
Online adaptive learning of optimal control solutions using integral reinforcement learning
Annealing-pareto multi-objective multi-armed bandit algorithm
Feature discovery in approximate dynamic programming
Event-based optimal regulator design for nonlinear networked control systems
Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark
A comparison of approximate dynamic programming techniques on benchmark energy storage problems: Does anything work?
Fault accommodation for complete synchronization of complex neural networks
A reinforcement learning approach for sequential mastery testing
The second order temporal difference error for Sarsa(λ)
Scalarized multi-objective reinforcement learning: Novel design techniques
Basis function adaptation methods for cost approximation in MDP
IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2009, Nashville, TN, USA, March 31 - April 1, 2009
Finite-horizon optimal control design for uncertain linear discrete-time systems
Pseudo-MDPs and factored linear action models
Hierarchical optimal control of a 7-DOF arm model
Closed-loop control of anesthesia and mean arterial pressure using reinforcement learning
A two stage learning technique for dual learning in the pursuit-evasion differential game
Approximate real-time optimal control based on sparse Gaussian process models
Heuristics for multiagent reinforcement learning in decentralized decision problems
Policy gradient approaches for multi-objective sequential decision making: A comparison
Data-based adaptive critic design for discrete-time zero-sum games using output feedback
Neural-network-based adaptive dynamic surface control for MIMO systems with unknown hysteresis
Reinforcement learning in multidimensional continuous action spaces
Information space receding horizon control
Active learning for personalizing treatment
Beyond exponential utility functions: A variance-adjusted approach for risk-averse reinforcement learning
Dynamic lead time promising
Efficient data reuse in value function approximation
Neural network-based adaptive optimal consensus control of leaderless networked mobile robots
Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device
Inferring bounds on the performance of a control policy from a sample of trajectories
Higher order Q-Learning
Information-theoretic stochastic optimal control via incremental sampling-based algorithms
Finite horizon stochastic optimal control of uncertain linear networked control system
Algorithms for variance reduction in a policy-gradient based actor-critic framework
Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems
Adaptive dynamic programming-based optimal tracking control for nonlinear systems using general value iteration
Structure search of probabilistic models and data correction for EDA-RL
Optimal self-learning battery control in smart residential grids by iterative Q-learning algorithm
Reinforcement learning in the game of Othello: Learning against a fixed opponent and learning from self-play
Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces
Optimal control for a class of nonlinear system with controller constraints based on finite-approximation-errors ADP algorithm
Reinforcement learning algorithms for solving classification problems
Adaptive fault identification for a class of nonlinear dynamic systems
Pareto Upper Confidence Bounds algorithms: An empirical study
The QV family compared to other reinforcement learning algorithms
Constrained optimal control of affine nonlinear discrete-time systems using GHJB method
Eigenfunction approximation methods for linearly-solvable optimal control problems
Iterative local dynamic programming
An integrated design for intensified direct heuristic dynamic programming
Adaptive Critic Designs-based autonomous unmanned vehicles navigation: Application to robotic farm vehicles
Supervised adaptive dynamic programming based adaptive cruise control
Real-time motor control using recurrent neural networks
An adaptive dynamic programming algorithm to solve optimal control of uncertain nonlinear systems
Specifying Guidelines to Transform i* Model into User Stories: an Overview
Proceedings of the 4 th International i * Workshop, Hammamet, Tunisia, June 07-08, 2010
Qualitative, Interactive, Backward Analysis of i* Models
STS-Tool: Specifying and Reasoning over Socio-Technical Security Requirements
Architecting Enterprise Capabilities: Creating Dynamic Capabilities from IT and Software Architecture
Applying Tropos Modeling for Smart Mobility Applications Based on the FIWARE Platform
Analyzing Software Process Alignment with Organizational Business Strategies using an Agent- and Goal-oriented Analysis Technique - an Experience Report
Adaptation of Business Models to the Structure-in-5 Organizational Style
Lessons Learned in the Use of i* by Non-Technical Users
Analysing User Feedback and Finding Experts: Can Goal-Orientation Help?
Goal Modeling for FinTech Certification
Using i * Models to Enrich User Stories
A Preliminary Investigation of the Utility of Goal Model Construction
Goals and Scenarios for Requirements Engineering of Software Product Lines
From Business Services to Web Services: an MDA Approach
i*-REST: Light-Weight i* Modeling with RESTful Web Services
Towards Automatic Generation of iStar Models Using ChatGPT
Strategy Modeling vs. Data-Driven Engineering: Can They Be Reconciled?
Value Cocreation Modeling: Supporting the Analysis and Design of B2B Service Engagements through Agent Orientation and Business Intelligence
A Principle-based Goal-oriented Requirements Language (GRL) for Enterprise Architecture
The Role of Goals in Design Reasoning
Eliciting Goals and Softgoals - How to Perceive the Intentionality at the Beginning of the Journey
iStarJSON: A Lightweight Data-Format for i* Models
AGFL - Agent Goals from Lexicon - Eliciting Multi-Agent Systems Intentionality
Use of a i* Extension for Machine Learning: a Real Case Study
Towards Aspectual i*
Using i* with Scrum: An Initial Proposal
Using i* to Represent OSS Ecosystems for Risk Assessment
Proceedings of the 17th International iStar Workshop (iStar 2024) co-located with the 43rd International Conference on Conceptual Modeling (ER 2024), Pittsburgh, Pennsylvania, October 28, 2024
Towards Using i* for Modeling Mega-Urban Processes
Proceedings of the 15th International iStar Workshop (iStar 2022) co-located with 41th International Conference on Conceptual Modeling (ER 2022), Virtual Event, Hyderabad, India, October 17, 2022
Using i * and Tropos in a Software Engineering Contest: Lessons Learnt and Some Key Challenges
Proceedings of the 14th International iStar Workshop (iStar 2021), co-located with 40th International Conference on Conceptual Modeling (ER 2021), St. Johns (NL), Canada, October 18, 2021
Improving Cyber Security Risk Assessment by Combined Use of i* and Infrastructure Models
A Framework for Iterative, Interactive Analysis of Agent-Goal Models in Early Requirements Engineering
A Proposed Textual Model for i-Star
Goal-aware Analysis of Software License Risks
Goal Modeling Education with GRL: Experience Report
Measurement of Actor External Dependencies in GRL Models
Using Intentional Actor Modeling to Support the Evolution of Enterprise Software Architectures in Organizations
Improving the Modularity of i * Models
i * on ADOxx®: A Case Study
Social Dependence Relationships in Requirements Engineering
Software Analytics Tools: An Intentional View
Elicitation Awareness in Conceptual Modeling: The Role of Transparency
i * Modules: a jUCMNav Implementation
Regression Testing for Properties of Evolving i* Models
Towards Adoption and Use of i * to Support Enterprise Architecture in Organizational Settings: a Position Paper
A Critical View Over iStar Visual Constructs
A Preliminary Framework for Recognizing iStar Hand Drafts
Towards an Evaluation Visualization with Color
A Learner-Friendly Approach for Using the iStar Modeling Framework: an Ongoing Study
Automated Generation of Attack Routes for Service Security Analysis - A Preliminary Report
Ontological Foundations for Agent-Oriented Organizational Modeling
Deriving Adaptive Behaviour from i * models
Technology Representation in i * Modules
Using i * Meta Modeling for Verifying i * Models
Exploiting Online Discussions in Collaborative Distributed Requirements Engineering
Towards a Declarative, Constraint-Oriented Semantics with a Generic Evaluation Algorithm for GRL
Issues and Challenges in Coupling Tropos with User-Centred Design
Development of Agent-Driven Systems: from i * Architectural Models to Intentional Agents Code
An extension of i * to Model CSCW Requirements Applied to a Collaborative Conference Review System
Using i* to Capture Consumer Preferences as Requirements for Software Product Lines
Extending iStar2.0 Metamodel to Define Data Structures
iStarML: Principles and Implications
Dealing with Non-functional Requirements, the Case of Information Quality Requirements: Experience Report
Reporting the Usage of iStar in a Model-Based Industrial Project to Evolve an e-Commerce Application
Proceedings of the 6th International i* Workshop 2013, Valencia, Spain, June 17-18, 2013
Towards the Analysis of Components Interoperability by Means of i
Quantitative Assessment of Goal Models within and beyond the Requirements Engineering Tool: A Case Study in the Accessibility Domain