yusuke1997/dblp-id-title huggingface dataset:
Retrospective observational study of a novel smartphone app on the management of patients with mild cognitive impairment or mild dementia
The effectiveness of video animations as information tools for patients and the general public: A systematic review
Editorial: Digital Health for Palliative Care
Psychometric Properties of a Chatbot Version of the PHQ-9 With Adults and Older Adults
The Role of Carbon Dioxide in the Rat Acute Stroke Penumbra
Governance of Clinical AI applications to facilitate safe and equitable deployment in a large health system: Key elements and early successes
Real-World Hearing Aid Usage Patterns and Smartphone Connectivity
The quest for blood pressure markers in photoplethysmography and its applications in digital health
Editorial: Human-centred computer audition: sound, music, and healthcare
Centering equity, diversity, and inclusion in youth digital mental health: findings from a research, policy, and practice knowledge exchange workshop
Oculomotor deficits in Parkinson's disease: Increasing sensitivity using multivariate approaches
Editorial: Factors influencing user engagement with digital mental health interventions
User experience with a parenting chatbot micro intervention
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health
Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention
Leveraging machine learning and prescriptive analytics to improve operating room throughput
Applying design to design: demonstrating how to create a human-centered design session interview guide for use with adolescents
A case for preference-sensitive decision timelines to aid shared decision-making in intensive care: need and possible application
Improvements in physical activity and depression symptoms: an observational study of users of a multi-modal digital mental health platform
Effect of electronic records on mortality among patients in hospital and primary healthcare settings: a systematic review and meta-analyses
Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation
Bonding With Bot: User Feedback on a Chatbot for Social Isolation
Remote monitoring and teleconsultations can reduce greenhouse gas emissions while maintaining quality of care in cystic fibrosis
Use of a wearable device to improve sleep quality
Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates - results from a prospective multi-center study
Akshar Mitra: a multimodal integrated framework for early dyslexia detection
Predicting food craving in everyday life through smartphone-derived sensor and usage data
Editorial: Digital twins in medicine - transition from theoretical concept to tool used in everyday care
Synthetic patient and interview transcript creator: an essential tool for LLMs in mental health
An empirical investigation into the preferences of the elderly for user interface design in personal electronic health record systems
PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods
Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers
A systematic review on the efficacy of virtual reality and gamification interventions for managing anxiety and depression
Factors influencing clinicians' willingness to use an AI-based clinical decision support system
Investigating the interplay of loneliness, computer-mediated communication, online social capital, and well-being: insights from a COVID-19 lockdown study
Smartphones and Web 2.0. interventions for weight management
Mapping the research landscape of mHealth and technology in pediatric chronic illness: a bibliometric study
Activity Tracking Using Ear-Level Accelerometers
Digital twins in healthcare: a comprehensive review and future directions
Effect of digital tools in outpatient cardiac rehabilitation including home training - results of the EPICURE study
Is the Automation of Digital Mental Health Ethical? Applying an Ethical Framework to Chatbots for Cognitive Behaviour Therapy
Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta
Effect of a digital blood pressure coach on hypertension management in primary care practices - a pragmatic, randomised controlled trial
Development of Personas to Communicate Narrative-Based Information About the HPV Vaccine on Twitter
A randomized controlled trial to pilot the efficacy of a computer-based intervention with elements of virtual reality and limited therapist assistance for the treatment of post-traumatic stress disorder
The feasibility of using Apple's ResearchKit for recruitment and data collection: Considerations for mental health research
Virtual conversational agents versus online forms: Patient experience and preferences for health data collection
Energy expenditure estimation during activities of daily living in middle-aged and older adults using an accelerometer integrated into a hearing aid
Telehealth nursing interventions for phenotypes of older adults with COPD: an exploratory study
The Impact of Mindset on Self-Tracking Experience
A Limb Hypothermia Wearable for Chemotherapy-Induced Peripheral Neuropathy: A Mixed-Methods Approach in Medical Product Development
ONLINE vs. FACE-TO-FACE group coaching to promote teachers mental health: an exploratory field study in German teachers
Evaluating Challenges and Adoption Factors for Active Assisted Living Smart Environments
Professionally Created Content Related to HPV Vaccination on TikTok
Quality and reliability of osteoarthritis-related health information on short video platforms: a cross-sectional comparative study of TikTok and Bilibili
Lessons learned from a multimodal sensor-based eHealth approach for treating pediatric obsessive-compulsive disorder
Factors to Consider in the Use of Vital Signs Wearables to Minimize Contact With Stable COVID-19 Patients: Experience of Its Implementation During the Pandemic
The development and use of data warehousing in clinical settings: a scoping review
Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems
The HEALERS: a patient, community, and stakeholder advisory board focus group series to refine a novel virtual world-based cardiac rehabilitation intervention and clinical trial
Prevention of falls in hospitalized patients - evaluation of the effectiveness of a monitoring system (Verso Vision) developed with artificial intelligence
Alter egos alter engagement: perspective-taking can improve disclosure quantity and depth to AI chatbots in promoting mental wellbeing
ProVIA-Kids - outcomes of an uncontrolled study on smartphone-based behaviour analysis for challenging behaviour in children with intellectual and developmental disabilities or autism spectrum disorder
Developing Self-Management Application of Fall Prevention Among Older Adults: A Content and Usability Evaluation
CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization
Gamification improves antidepressant effects of cognitive control training - A pilot trial
Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness
Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project
Second-Generation Digital Health Platforms: Placing the Patient at the Center and Focusing on Clinical Outcomes
Enhancing neuropsychological assessment clinical pathways in Parkinson's disease through the use of technology
Parkinson's disease population-wide registries in the United States: Current and future opportunities
Healthcare professionals' satisfaction toward the use of district health information system and its associated factors in southwest Ethiopia: using the information system success model
Designing and developing a prescription digital therapeutic for at-home heart rate variability biofeedback to support and enhance patient outcomes in post-traumatic stress disorder treatment
Comparative study of Claude 3.5-Sonnet and human physicians in generating discharge summaries for patients with renal insufficiency: assessment of efficiency, accuracy, and quality
Editorial: Machine Learning and Wearable Technology in Sleep Medicine
Personalised depression forecasting using mobile sensor data and ecological momentary assessment
Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning
A chatbot-based intervention with ELME to improve stress and health-related parameters in a stressed sample: Study protocol of a randomised controlled trial
Prism adaptation combined with serious games for improving visual-constructive abilities in stroke patients: randomized clinical trial
A novel machine learning methodology for the systematic extraction of chronic kidney disease comorbidities from abstracts
Use of artificial intelligence for reverse referral between a hospital emergency department and a primary urgent care center
Navigating the landscape of remote patient monitoring in Canada: trends, challenges, and future directions
Involving Children and Teenagers With Bilateral Cochlear Implants in the Design of the BEARS (Both EARS) Virtual Reality Training Suite Improves Personalization
Optimizing Cognitive Assessment Outcome Measures for Alzheimer's Disease by Matching Wordlist Memory Test Features to Scoring Methodology
Emerging data inputs for infectious diseases surveillance and decision making
Advancements in eye movement measurement technologies for assessing neurodegenerative diseases
A patient-centered interactive voice response system for supporting self-management in kidney transplantation: design and field testing
Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
Therapeutic Response of miR-145 Micelles on Patient-Derived Vascular Smooth Muscle Cells
Immersive solutions: South African community service nurses' perspectives on virtual reality potential in hypertension management
Black American and Latinx Parent/Caregiver Participation in Digital Health Obesity Interventions for Children: A Systematic Review
Secure latent Dirichlet allocation
The Graph Structure in the Web - Analyzed on Different Aggregation Levels
Identity Assurance in the UK: technical implementation and legal implications under eIDAS
Multi-Cultural Interlinking of Web Taxonomies with ACROSS
Towards Understanding the Consumption of Video-Ads on YouTube
Overlap in the Web Search Results of Google and Bing
Exploring the Relationship between User Activities and Profile Images on Twitter through Machine Learning Techniques
On the Ubiquity of Web Tracking: Insights from a Billion-Page Web Crawl
ACQUA: Automated Community-based Question Answering through the Discretisation of Shallow Linguistic Features
The Wisdom of the Few? "Supertaggers" in Collaborative Tagging Systems
It's All About Information? The Following Behaviour of Professors and PhD Students in Computer Science on Twitter
Predicting Online Islamophobic Behavior after #ParisAttacks
An Extended Investigation of the Similarity Between Privacy Policies of Social Networking Sites as a Precursor for Standardization
Spreading One's Tweets: How Can Journalists Gain Attention for their Tweeted News?
Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems
Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning
Project report: new generation intelligent building platform techniques
Office building participation in demand response programs supported by intelligent lighting management
Framework for dimensioning battery energy storage systems with applied multi-tasking strategies in microgrids
Two-stage optimization strategy for the active distribution network considering source-load uncertainty
Design and implementation of a blockchain multi-energy system
Effect of carbon reduction policies on economic growth from a dual carbon perspective
Time series aggregation for energy system design: review and extension of modelling seasonal storages
Optimizing power system trading processes using smart contract algorithms
Substation drawing intelligent parsing framework with dense augmentation and semantic alignment
Towards optimized exchange topologies in smart distribution grids
A cloud-based service-oriented architecture to unlock smart energy services
Assess: anomaly sensitive state estimation with streaming systems
Integrated energy trading algorithm for source-grid-load-storage energy system based on distributed machine learning
Simulative comparison of concepts for simultaneous control of heat flow and outlet temperature of heat exchangers for highly flexible use in the test facility "District LAB"
On performance evaluation and machine learning approaches in non-intrusive load monitoring
Harnessing Artificial Intelligence to improve building performance and energy use: innovations, challenges, and future perspectives
A flexible ICT architecture to support ancillary services in future electricity distribution networks: an accounting use case for DSOs
Evaluation method of distribution network operation status based on local fuzzy measure in boundary region
Using weather data in energy time series forecasting: the benefit of input data transformations
Promotion of practical technology of the thermal management system for cylindrical power battery
Design and evaluation of a multi-level reactive power market
Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective
Energy consumption data collection: case study on data center in a Thai University
The metering error prediction method for charging pile based on knowledge-assisted modal decomposition
Tractable lithium-ion storage models for optimizing energy systems
Combinatorial chance-constrained economic optimization of distributed energy resources
Protecting the grid topology and user consumption patterns during state estimation in smart grids based on data obfuscation
Welcome message from the organizers at the 1st Energy Informatics. Academy Conference Asia (EI.A Asia 2021)
Energy metaverse: the conceptual framework with a review of the state-of-the-art methods and technologies
Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning
Optimization of power system load forecasting and scheduling based on artificial neural networks
Research on power plant security issues monitoring and fault detection using attention based LSTM model
Advanced voltage control method for improving the voltage quality of low-voltage distribution networks with photovoltaic penetrations
Quality properties of IEC 62559 use cases and SGAM models
Charging pile fault prediction method combining whale optimization algorithm and long short-term memory network
On specification-based cyber-attack detection in smart grids
Empirical analysis of the impact of China's carbon emissions trading policy using provincial-level data
Selection method for hybrid energy storage schemes for supply reliability improvement in distribution networks
Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions
State description of cyber-physical energy systems
Multi-source coordinated low-carbon optimal dispatching for interconnected power systems considering carbon capture
A photovoltaic power ultra short-term prediction method integrating Hungarian clustering and PSO algorithm
Estimating time-delayed variables using transformer-based soft sensors
Approach for energy efficient building design during early phase of design process
Analysis of distribution network reliability based on distribution automation technology
Pool detection from smart metering data with convolutional neural networks
A QR code based framework for auto-configuration of IoT sensor networks in buildings
Quantifying job-level carbon efficiency in HPC: an empirical study based on the PM100 dataset
Federated learning for 5G-enabled infrastructure inspection with UAVs
Exploring carbon emission accounting methods for typical public institutions: a case study of hospitals
Using EV charging control to provide building load flexibility
A multi-step day-ahead wind power forecasting based on VMD-LSTM-EFG-ABC technique
Topological considerations on peer-to-peer energy exchange and distributed energy generation in the smart grid
Location and solar system parameter extraction from power measurement time series
A meta-learning framework with temporal feature integration for electricity load forecasting
Hybrid approach based on particle swarm optimization for electricity markets participation
An agent-based modelling framework for the simulation of large-scale consumer participation in electricity market ecosystems
E-Mobility Systems Architecture: a model-based framework for managing complexity and interoperability
Optimization of electric vehicle charging facility layout considering the enhancement of renewable energy consumption capacity and improvement of PSO algorithm
Transformer training strategies for forecasting multiple load time series
Blockchain-based orchestration of distributed assets in electrical power systems
PUMPNET: a deep learning approach to pump operation detection
The application of multimodal AI large model in the green supply chain of energy industry
Application of improved DBN and GRU based on intelligent optimization algorithm in power load identification and prediction
Federated data spaces for digital continuity in the building lifecycle: accelerating the mission of energy informatics
Efficient unmanned aerial vehicle inspection and management of transmission lines in modern electric power enterprises
An obstacle avoidance safety detection algorithm for power lines combining binocular vision technology and improved object detection
Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems
Probabilistic Flexoffers in residential heat pumps considering uncertain weather forecast
Big data analytics in smart grids: a review
An improved SLAM algorithm for substation inspection robot based on the fusion of IMU and visual information
Impact of COVID-19 on energy consumption in a residential complex in Hyderabad, India
A novel method for enhancing the accommodation of renewable energy in flexible AC/DC distribution networks based on energy router devices
Welcome message from the organizers
Intelligent dynamic management of microgrid security using MOBAS-EPB-based multi-objective optimization
Neural network-based forecasting and uncertainty analysis of new power generation capacity of electric energy
A hierarchical and modular agent-oriented framework for power systems co-simulations
Ensuring usability of future smart energy control room systems
Smart automated highway lighting system using IoT: a survey
A survey of demand response adoption in retail stores DR control preferences, stakeholder engagement, and cross-national differences
Net load forecasting using different aggregation levels
Evaluation of neural networks for residential load forecasting and the impact of systematic feature identification
Clustering time series applied to energy markets
Agent based coordination protocol for system of cyber-physical systems
Calibration of flow differential pressure coefficients on pump-turbine by thermodynamic method
Low-carbon economic optimization for flexible DC distribution networks based on the hiking optimization algorithm
Scaling: managing a large number of distributed battery energy storage systems
A model-based approach for converting CGMES power system models into operational networks
Transmission line trip faults under extreme snow and ice conditions: a case study
Electricity user behavior analysis and marketing strategy based on internet of things and big data
Evaluating different machine learning techniques as surrogate for low voltage grids
Carbon emission accounting and decarbonization strategies in museum industry
Energy forecasting based on predictive data mining techniques in smart energy grids
Spinning gold from straw - evaluating the flexibility of data centres on power markets
Towards negative cycle canceling in wind farm cable layout optimization
Cyber-physical threat mitigation in wind energy systems: a novel secure architecture for industry 4.0 power grids
Learning capacity: predicting user decisions for vehicle-to-grid services
Fault diagnosis of intelligent substation relay protection system based on transformer architecture and migration training model
Abstracts of the 12th DACH+ Conference on Energy Informatics 2023
AI in power systems: a systematic review of key matters of concern
Analysis of user behavior and energy-saving potential of electric water heaters
Active participation of industrial enterprises in electricity markets - a generic modeling approach
Mind the gap- open communication protocols for vehicle grid integration
Detection of heat pumps from smart meter and open data
An effective IoT-based demand response for energy-efficient smart homes
Optimal scheduling of clean energy storage and charging integrated system by fusing DE algorithm and kernel search algorithm
Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms
Comparison of deep learning algorithms for site detection of false data injection attacks in smart grids
Simulation modeling for energy systems analysis: a critical review
Application of optimized photovoltaic grid-connected control system based on modular multilevel converters
Building energy efficiency evaluation based on fusion weight method and grey clustering method
Full life-cycle cost model for practical application of solar energy system
Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system
Abstracts from the Energy Informatics.Academy Asia 2021 conference and PhD workshop: Beijing, China. 29-30
Machine learning applications in energy systems: current trends, challenges, and research directions
A scoping review of deep neural networks for electric load forecasting
Intelligent guarantee power supply decision method based on reinforcement learning algorithm
Optimized diagnosis of local anomalies in charge and discharge of solar cell capacitors
Correction: Research on building energy consumption prediction algorithm based on customized deep learning model
Low voltage user power internet of things monitoring system based on LoRa wireless technology
Towards model-driven CIM-based data exchange for DSOs
Hybrid energy storage device based on multi-port transformer and direct current bus connection
Building energy consumption analysis and measures: a case study from an administration building in Chengdu, China
Artificial intelligence for energy optimization in smart buildings: A systematic review and meta-analysis
State-based load profile generation for modeling energetic flexibility
Safety management system of new energy vehicle power battery based on improved LSTM
Application of energy combined thermal comfort in intelligent building management in complex environments
Digital Twins of smart energy systems: a systematic literature review on enablers, design, management and computational challenges
Modeling control strategies for prosumers in a Python-based modular simulation tool
Assessing the incorporation of battery degradation in vehicle-to-grid optimization models
Predictive digital twin for wind energy systems: a literature review
Comparative assessment of the scientific structure of biomass-based hydrogen from a cross-domain perspective
Self-operation and low-carbon scheduling optimization of solar thermal power plants with thermal storage systems