yusuke1997/dblp-id-title huggingface dataset:
Predicting traffic flow with federated learning and graph neural with asynchronous computations network
Few-shot relation extraction approach for threat intelligence based on multi-level attention mechanism and hybrid prototypical network
Research on multi-factory combination optimization based on DOSTAR
Learning to rank method combining multi-head self-attention with conditional generative adversarial nets
Media bias detection and bias short term impact assessment
Utilizing JIT Python runtime and parameter optimization for CPU-based Gaussian Splatting thumbnailer
The evolving roles and impacts of 5G enabled technologies in healthcare: The world epidemic COVID-19 issues
Enhancing cybersecurity in smart and cognitive cities: A systematic mapping of AI-based techniques
Spoof speech classification using deep speaker embeddings and machine learning models
Enhancing active learning through latent space exploration: A k-nearest neighbors approach
On the stability of (self-)adaptive behaviour in continuously changing environments: A quantification approach
On field disease detection in olive tree with vision systems
LogERT:Stable log template mining method based on evolving re-search trees
A robust and adaptive driver identification framework for intelligent transportation systems
Prediction accuracy in maritime simulator training performance assessment with varying data frequency
Random projection tree similarity metric for SpectralNet
Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
Adoption of ChatGPT by university students for academic purposes: Partial least square, artificial neural network, deep neural network and classification algorithms approach
CNN-ViT: A multi-feature learning based approach for driver drowsiness detection
Sustainable AI for plant disease classification using ResNet18 in few-shot learning
Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model
Combining clusterings in the belief function framework
Climate Aware Deep Neural Networks (CADNN) for wind power simulation
Bayesian optimization of distributed neurodynamical controller models for spatial navigation
FaSIVA: Facial signature for identification, verification and authentication of persons
Binary2vec:Cross-architecture binary embeddings with global attention-enhanced graph neural networks
Anomaly detection in industrial control systems: Leveraging adaptive multi-granularity anomaly correction for robust performance in noisy environments
Enhancing trust in machines integration with Dirichlet distribution and self-sovereign identity
Efficacy of Smart City Data Layers in virtual reality for emergency evacuation behaviours
Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori information
CST-AFNet: A dual attention-based deep learning framework for intrusion detection in IoT networks
MinkUNeXt: Point cloud-based large-scale place recognition using 3D sparse convolutions
Beyond raw data: AI-driven biosensor fusion for enhancing athletic performance
Harmonizing motion and contrast vision for robust looming detection
Towards a high-precision contactless fingerprint scanner for biometric authentication
Who watches the new watchmen? The challenges for drone digital forensics investigations
Drone detection in airport environments: A literature review
The role of agentic AI in shaping a smart future: A systematic review
Efficient mining of intra-periodic frequent sequences
Enhancing Wireless Sensor Network performance: A Novel Adaptive Grid-Based Clustering Hierarchy protocol
Role of sub-trajectories in online signature verification
Achieving operational excellence through artificial intelligence: The case of Ghanaian banks
CovKG: A Covid-19 Knowledge Graph for enabling multidimensional analytics on Covid-19 epidemiological data considering spatiotemporal, environmental, health, and socioeconomic aspects
Why do healthcare workers adopt digital health technologies - A cross-sectional study integrating the TAM and UTAUT model in a developing economy
An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review
A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review
Sentiment analysis for depression detection: A stacking ensemble-based deep learning approach
Does service quality matter in FinTech payment services? An integrated SERVQUAL and TAM approach
Subset, subquery and queryable-visualization in parametric big data model
Combating the menace: A survey on characterization and detection of fake news from a data science perspective
Adoption of artificial intelligence in smart cities: A comprehensive review
Optimization and improvement of fake news detection using deep learning approaches for societal benefit
How can we detect Homophobia and Transphobia? Experiments in a multilingual code-mixed setting for social media governance
Exploring commonly used terms from online reviews in the fashion field to predict review helpfulness
An empirical evidence on the impact of social customer relationship management on the small and medium enterprises performance
Designing a conceptual green process model in software development: A mixed method approach
Value co-creation for open innovation: An evidence-based study of the data driven paradigm of social media using machine learning
A modified label propagation algorithm for community detection in attributed networks
The adoption of the e-portfolio management system in the Technical and Vocational Training Corporation (TVTC) in Saudi Arabia
AI literacy and e-entrepreneurial intention: A serial mediation model of e-entrepreneurial self-efficacy and e-entrepreneurial identity aspiration
Using topic models with browsing history in hybrid collaborative filtering recommender system: Experiments with user ratings
Blockchain technology to improve traceability in the coffee supply chain: A systematic literature review
Automating materiality assessment with a data-driven document-based approach
An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product
An investigation of novel features for predicting student happiness in hybrid learning platforms - An exploration using experiments on trace data
How can we assess the success of information technologies in digital libraries? Empirical evidence from Indonesia
Learning from machines to close the gap between funding and expenditure in the Australian National Disability Insurance Scheme
Retrieving and discovering new knowledge from documents' abstracts in scientific databases: Proposing a query-based abstractive summarization model
Success attributes of business leaders from information technology industry: Evidence from India
Green digital leadership and algorithmic management for sustainable supply chains: A serial mediation model
Evolutionary natural-language coreference resolution for sentiment analysis
The influence of AI literacy on risk management skills and the roles of diagnostic capabilities and prognostic capabilities: Empirical insight from Thai gen Z accounting students
How can we use machine learning for characterizing organizational identification - a study using clustering with Picture fuzzy datasets
Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review
Social network analysis of tourism data: A case study of quarantine decisions in COVID-19 pandemic
How can we use artificial intelligence for stock recommendation and risk management? A proposed decision support system
Adoption and continued usage of mobile learning of virtual platforms in Iraqi higher education an unstable environment
Collective response to the health crisis among German Twitter users: A structural topic modeling approach
Forecasting cryptocurrency returns using classical statistical and deep learning techniques
Predicting the popularity of tweets by analyzing public opinion and emotions in different stages of Covid-19 pandemic
Airline reviews processing: Abstractive summarization and rating-based sentiment classification using deep transfer learning
Towards an understanding of business intelligence and analytics usage: Evidence from the banking industry
How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda
Transformer-based model for moroccan Arabizi-to-Arabic transliteration using a semi-automatic annotated dataset
Introspecting predictability of market fear in Indian context during COVID-19 pandemic: An integrated approach of applied predictive modelling and explainable AI
Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations
Stage-wise green supply chain management and environmental performance: Impact of blockchain technology
Antecedents and consequences of big data knowledge management
From pixels to perceptions: Capturing high-level abstract concepts in visual user-generated content
Analyzing the interplay between social media analytics and nudges in pandemic control
Driving sustainability in emerging economies: Leadership, culture, and knowledge management in environmental performance
Digital marketing strategies for luxury fashion brands: A systematic literature review
The influence of AI competency and design thinking skills on innovative entrepreneurial competency: The role of strategic intelligence amongst new age entrepreneurs in Thailand
Why do students adopt and use Learning Management Systems?: Insights from Saudi Arabia
Impact of perceived privacy and security in the TAM model: The perceived trust as the mediated factors
Application of text mining in smart lighting literature - an analysis of existing literature and a research agenda
Enhancing recommender systems with provider fairness through preference distribution-awareness
Self-promotion and online shaming during COVID-19: A toxic combination
Leveraging Twitter data to understand public sentiment for the COVID-19 outbreak in Singapore
Exploring the drivers of digital technology adoption for enhancing domestic tax mobilization in Ghana
Robot resistance in the land of smiles: Unraveling the behavior of Thai consumers toward restaurant service robots
MultiBanFakeDetect: Integrating advanced fusion techniques for multimodal detection of Bangla fake news in under-resourced contexts
Identifying the drivers of negative news with sentiment, entity and regression analysis
Solving the product uncertainty hurdle in social commerce: The mediating role of seller uncertainty
How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms
A sentiment analysis framework to classify instances of sarcastic sentiments within the aviation sector
An exploratory prioritization of factors affecting current state of information security in Pakistani university libraries
Effect of technostress on Psychological well-being of post-graduate students: A perspective and correlational study of Higher Education Management
Knowledge based topic retrieval for recommendations and tourism promotions
Monetisation of digital health data through a GDPR-compliant and blockchain enabled digital health data marketplace: A proposal to enhance patient's engagement with health data repositories
Determinants of artificial intelligence adoption in the financial services industry: Understanding employees' perspectives
A hierarchical clustering based panel data approach: A case study of regional incentives
Examining the moderating effect of perceived government support on e-business adoption among Omani SMEs
How can we create a recommender system for tourism? A location centric spatial binning-based methodology using social networks
Optimization of paraphrase generation and identification using language models in natural language processing
Applications of text mining in services management: A systematic literature review
Factors influencing students' adoption and use of mobile learning management systems (m-LMSs): A quantitative study of Saudi Arabia
Predictive model for customer satisfaction analytics in E-commerce sector using machine learning and deep learning
A structural topic modeling of communication research: insights from over a century of journals' abstracts
Financial textual sentiment connectedness: Evidence from alternative data
How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review
Causes, consequences, and strategies to deal with information overload: A scoping review
Understanding entrepreneurship intention and behavior in the light of TPB model from the digital entrepreneurship perspective
Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling
Classification of suicidal ideation severity from Twitter messages using machine learning
Development and integration of human-AI interactions in service applications: Conceptual framework and review
A hybrid deep learning approach with genetic and coral reefs metaheuristics for enhanced defect detection in software
Analysis of machine learning strategies for prediction of passing undergraduate admission test
MATURE-Food: Food Recommender System for MAndatory FeaTURE Choices A system for enabling Digital Health
Headlines or Hashtags? The battle in social media for investor sentiment in the stock market
Is software design gender biased? A study on software-design effect on task performance
The tale of two sides in the 2019 anti-CAA protest - An analytical framework
User-Generated Content behavior and digital tourism services: A SEM-neural network model for information trust in social networking sites
What distinguishes binary from multi-class intrusion detection systems: Observations from experiments
Product collaborative filtering based recommendation systems for large-scale E-commerce
Understanding sustainable technologies use: The role of empowerment and cultural dimensions
The interplay of virtualisation, work design, and business process management: A mixed-methods study
Deep learning for manufacturing sustainability: Models, applications in Industry 4.0 and implications
Multi-echelon and multi-period supply chain management network design considering different importance for customers management using a novel meta-heuristic algorithm
Transforming business management practices through metaverse technologies: A Machine Learning approach
TaxoDaCML: Taxonomy based Divide and Conquer using machine learning approach for DDoS attack classification
Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction
How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion
A multimodal framework for enhancing E-commerce information management using vision transformers and large language models
Impact of social media marketing features on consumer's purchase decision in the fast-food industry: Brand trust as a mediator
Factors affecting the success of accounting information system from the lens of DeLone and McLean IS model
Entity sentiment analysis in the news: A case study based on Negative Sentiment Smoothing Model (NSSM)
Strengthening the UK regulatory framework: Enhancing cybersecurity in supply chains
Sentiment works in small-cap stocks: Japanese stock's sentiment with language models
Understanding the use of learning management systems by undergraduate university students using the UTAUT model: Credible evidence from Saudi Arabia
Mapping technology diffusion with AI: A web-based approach for tracking additive manufacturing adoption
Judgmental adjustment of demand forecasting models using social media data and sentiment analysis within industry 5.0 ecosystems
Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques
A strategic model for attracting and retaining environmentally conscious customers in E-retail
Customization of health insurance premiums using machine learning and explainable AI
Gendered language differences in public communication? The case of municipal tweets
Determinants of mobile wallet usage among Gen Z: Extending the UTAUT2 model with moderating effects of personal innovativeness and gender
How machine learning is used to study addiction in digital healthcare: A systematic review
Machine learning and probabilistic analysis strategies for defect reduction in windshield manufacturing
Editorial: Artificial intelligence, digitization, sustainable development goals & global disruptions
A sociotechnical perspective for explicit unfairness mitigation techniques for algorithm fairness
Context-aware OLAP for textual data warehouses
Transfer Learning Enhanced Vision-based Human Activity Recognition: A Decade-long Analysis
Understanding the drivers of online trust and intention to buy on a website: An emerging market perspective
A fuzzy ontology framework in information retrieval using semantic query expansion
Investigating diseases and chemicals in COVID-19 literature with text mining
Text mining with sentiment analysis on seafarers' medical documents
Big data analytics and sustainable tourism: A comprehensive review and network based analysis for potential future research
Growth of digital brand name through customer satisfaction with big data analytics in the hospitality sector after the COVID-19 crisis
A systematic review and future agenda on continuance intentions in mobile apps
Digital payment adoption: A revisit on the theory of planned behavior among the young generation
Computerized accounting information systems: An application of task technology fit model for microfinance
Metaverse in financial industry: Use cases, value, and challenges
A deep learning approach for estimation of price determinants
Adoption and impacts of generative artificial intelligence: Theoretical underpinnings and research agenda
Continuance usage intention of e-wallets: Insights from merchants
Developing banking intelligence in emerging markets: Systematic review and agenda
ABERT: Adapting BERT model for efficient detection of human and AI-generated fake news
Exploring the association between cultural values and the intention to use digital data wallets
Conceptualization and validation of an intelligent digital twin design framework for supply chain risk management
Are you game? Health Gamification during disruptions due to the pandemic for sustainability
Green Service Consumption: Unlocking Customer Expectations on Technological Transformations Enhancing Purchase Experience in Retail Store
RaDE+: A semantic rank-based graph embedding algorithm
Extending the theory of information poverty to deepfake technology
Multi-lingual opinion mining for social media discourses: an approach using deep learning based hybrid fine-tuned smith algorithm with adam optimizer
Enhancing supply chain performance using RFID technology and decision support systems in the industry 4.0-A systematic literature review
Evolution of Alzheimer's disease research from a health-tech perspective: Insights from text mining
Enhancing Risk Identification with GNN: Edge Classification in Risk Causality from Securities Reports
Healthcare data governance assessment based on hospital management perspectives
Driving user adoption of mobile apps through platform multihoming: The effects of multihoming delay and multihoming customization
How can we manage biases in artificial intelligence systems - A systematic literature review
Exploring the impact of social relationships and system experiences on consumers' acceptance of social commerce in the fashion sector: an empirical study
Sentiment Analysis on E-Commerce Product Reviews Using Machine Learning and Deep Learning Algorithms: A Bibliometric Analysis, Systematic Literature Review, Challenges and Future Works
LCCI: A framework for least cybersecurity controls to be implemented for small and medium enterprises (SMEs)
Suicide ideation detection from online social media: A multi-modal feature based technique
Media and information literacy among pre-service teachers: A systematic review of key trends and gaps (2013-2024)
From the black box to the glass box: Using unsupervised and supervised learning processes to predict user engagement for the airline companies
Sentiment analysis and classification of Indian farmers' protest using twitter data
How to implement a decision support for digital health: Insights from design science perspective for action research in tuberculosis detection
Quantitative analysis of the development of digital marketing field: Bibliometric analysis and network mapping
Impacts of digitization on operational efficiency in the banking sector: Thematic analysis and research agenda proposal
How does blockchain impact sustainable food security? Insights from literature review
Deep learning techniques for sentiment analysis in code-switched Hausa-English tweets
Optimal balancing & efficient feature ranking approach to minimize credit risk
How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries-A review and research agenda
Monitoring semantic relatedness and revealing fairness and biases through trend tests
Blockchain adoption for sustainable development in developing countries: Challenges and opportunities in the banking sector
A Novel Named Entity Recognition approach of Indonesian fake news using part of speech and BERT model on presidential election
The impact of Instagram on young Adult's social comparison, colourism and mental health: Indian perspective
Efficient semantic summary graphs for querying large knowledge graphs
A machine learning algorithm for personalized healthy and sustainable grocery product recommendations
Incorporation of Ontologies in Data Warehouse/Business Intelligence Systems - A Systematic Literature Review
Enhancing DataOps practices through innovative collaborative models: A systematic review
Genie: Enhancing information management in the restaurant industry through AI-powered chatbot
Fake news detection: A hybrid CNN-RNN based deep learning approach
Harnessing the potential of generative AI in digital marketing using the Behavioral Reasoning Theory approach
Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes
2020 U.S. presidential election in swing states: Gender differences in Twitter conversations
How can machine learning be used in stress management: A systematic literature review of applications in workplaces and education
Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory
Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction
Information needs for transparency in blockchain-enabled sustainable food supply chains
Cryptocurrency trading: A systematic mapping study
Content, formats and licensing of datasets from autonomous communities: Value generation, sustainability and proposals for improvement
Deep learning in business analytics: A clash of expectations and reality
What drives the adoption of mobile learning services among college students: An application of SEM-neural network modeling
Role of social currency in customer experience and co-creation intention in online travel agencies: Moderation of attitude and subjective norms
From self-descriptions (SD) to self-recommendations (SR): Evolving Gaia-X for the future European economy
How can we predict the impact of the social media messages on the value of cryptocurrency? Insights from big data analytics
Using process mining for workarounds analysis in context: Learning from a small and medium-sized company case
Past, present, and future of virtual tourism-a literature review
Blockchain-based conceptual model for enhanced transparency in government records: a design science research approach