yusuke1997/dblp-id-title huggingface dataset:
Tracing truth: dynamic temporal networks for multi-modal fake news detection
Enhancing dance education through convolutional neural networks and blended learning
Active triggering control of pneumatic rehabilitation gloves based on surface electromyography sensors
A computer architecture based on disruptive information technologies for drug management in hospitals
Densenet201+ with multi-scale attention and deep feature engineering for automated Kellgren-Lawrence grading of knee osteoarthritis
Robust 3D object watermarking scheme using shape features for copyright protection
A novel multi-model feature generation technique for suicide detection
Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol
Membership inference attack on differentially private block coordinate descent
A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem
An improved differential evolution algorithm for multi-modal multi-objective optimization
A comprehensive exploration of machine learning techniques for EEG-based anxiety detection
Object detection in optical imaging of the Internet of Things based on deep learning
Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study
An ensemble machine learning model based on multiple filtering and supervised attribute clustering algorithm for classifying cancer samples
Models of similarity in complex networks
A novel framework for storage assignment optimization inspired by finite element method
From words to returns: sentiment analysis of Japanese 10-K reports using advanced large language models
Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks
Protein language model-based prediction for plant miRNA encoded peptides
A novel framework for secure cryptocurrency transactions using quantum crypto guard
Force transmission analysis of surface coating materials for multi-fingered robotic grippers
Self-optimizing neural network in the classification of real valued data
Analyzing reciprocity dynamics in supply chains of public goods: a stochastic evolutionary game approach
How to get best predictions for road monitoring using machine learning techniques
ELM-KL-LSTM: a robust and general incremental learning method for efficient classification of time series data
Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer's disease classification
Super-resolution reconstruction based on Gaussian transform and attention mechanism
Comprehensive evaluation of software system reliability based on component-based generalized G-O models
Bankline detection of GF-3 SAR images based on shearlet
A non-negative feedback self-distillation method for salient object detection
Skeletal age evaluation using hand X-rays to determine growth problems
Nine best practices for research software registries and repositories
Disease diagnosis in banana leaves: a review on AI powered techniques
Understanding the customer experience in human-computer interaction: a systematic literature review
Solving musculoskeletal biomechanics with machine learning
Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing
An enhanced approach for automatic annotation of error codes based on Seq2edit
Optimizing road safety: integrated analysis of motorized vehicle using lattice ordered complex linear diophantine fuzzy soft set
Unsupervised learning analysis on the proteomes of Zika virus
Transformer model-based multi-scale fine-grained identification and classification of regional traffic states
GATI-RS model using Bi-LSTM and multi-head attention mechanism to enhance online shopping experience for the elderly with accurate click-through rate prediction
Multi-resource collaborative optimization for adaptive virtual machine placement
A backpropagation neural network model with adaptive feature extraction for music emotion recognition in online music appreciation
Advanced clustering and transfer learning based approach for rice leaf disease segmentation and classification
Missing data imputation using classification and regression trees
A clustering effectiveness measurement model based on merging similar clusters
A novel fast pedestrian recognition algorithm based on point cloud compression and boundary extraction
Enhancing data transmission in duct air quality monitoring using mesh network strategy for LoRa
Towards efficient verifiable multi-keyword search over encrypted data based on blockchain
Consumer behavior analysis based on Internet of Things platform and the development of precision marketing strategy for fresh food e-commerce
A configurable simulator for low-resolution infrared thermal sensors: accuracy assessment and practical applications in indoor environments
Semi-supervised oblique predictive clustering trees
Detection of mild cognitive impairment based on attention mechanism and parallel dilated convolution
Advanced convolutional neural network modeling for fuel cell system optimization and efficiency in methane, methanol, and diesel reforming
J-score: a robust measure of clustering accuracy
Application of particle swarm optimization in optimal placement of tsunami sensors
Sa-SNN: spiking attention neural network for image classification
Enhancing healthcare data privacy and interoperability with federated learning
Range aware message drop policy for delay tolerant networks
Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques
Effective short-term forecasts of Saudi stock price trends using technical indicators and large-scale multivariate time series
Overlapping community discovery based on graph embedding and label propagation algorithm
Comparing supervised and unsupervised approaches to multimodal emotion recognition
An improved two-stage label propagation algorithm based on LeaderRank
Robust clothing-independent gait recognition using hybrid part-based gait features
Automatic visual recognition for leaf disease based on enhanced attention mechanism
Analytical code sharing practices in biomedical research
Novel trajectory clustering method based on distance dependent Chinese restaurant process
Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidirectional long short-term memory classifier for effective single and multi-document summarization
Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers
Artificial intelligence-assisted air quality monitoring for smart city management
Optimization of multi-objective feature regression models for designing performance assessment methods in college and university educational reform
Design of news recommendation model based on sub-attention news encoder
Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique
Traffic flow simulation of modified cellular automata model based on producer-consumer algorithm
Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding
Software evolution: the lifetime of fine-grained elements
TSFF: a two-stage fusion framework for 3D object detection
An explainable intrusion detection system using novel Indian millipede optimization and WGAN-GP with a dynamic attention-based ensemble model
Toward fault tolerant modelling for SCADA based electricity distribution networks, machine learning approach
Predicting defects in imbalanced data using resampling methods: an empirical investigation
Do popular apps have issues regarding energy efficiency?
Alternating guided image filtering
Precise distance measurement with stereo camera: experimental results
Participation in wiki communities: reconsidering their statistical characterization
Emerging trends in gait recognition based on deep learning: a survey
Enhanced congestion prediction of traffic flow using a hybrid attention-based deep learning model
20 GB in 10 minutes: a case for linking major biodiversity databases using an open socio-technical infrastructure and a pragmatic, cross-institutional collaboration
A defensive model and implementation baseline for the metaverse and extended reality systems
An ontology-based approach to the analysis of the acid-base state of patients at operative measures
ShallowBKGC: a BERT-enhanced shallow neural network model for knowledge graph completion
DDoS attack detection in smart grid network using reconstructive machine learning models
Personality-based pair programming: toward intrinsic motivation alignment in very small entities
Generating, retrieving persona and generating responses for long-term open-domain dialogue
Explainability of deep learning models in medical video analysis: a survey
Evaluating generative AI integration in Saudi Arabian education: a mixed-methods study
QoS-aware service composition based on context-free grammar and skyline in service function chaining using genetic algorithm
Evaluating the method reproducibility of deep learning models in biodiversity research
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification
Applying a deep learning pipeline to classify land cover from low-quality historical RGB imagery
A quality assessment algorithm for no-reference images based on transfer learning
A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities
Comparative analysis of machine learning methods to detect fake news in an Urdu language corpus
Deep vision-based real-time hand gesture recognition: a review
A combined model for short-term wind speed forecasting based on empirical mode decomposition, feature selection, support vector regression and cross-validated lasso
Mine subsidence monitoring and prediction integrating SBAS-InSAR technology and BO-Prophet model
Epidemic monitoring in real-time based on dynamic grid search and Monte Carlo numerical simulation algorithm
A multi-objective path optimization method for plant protection robots based on improved A*-IWOA
Predicting Chinese stock market using XGBoost multi-objective optimization with optimal weighting
A novel framework based on deep learning for COVID-19 diagnosis from X-ray images
Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model
A new optimization algorithm based on mimicking the voting process for leader selection
An approach to the dermatological classification of histopathological skin images using a hybridized CNN-DenseNet model
Optical character recognition system for Baybayin scripts using support vector machine
Detection of malicious nodes based on consortium blockchain
TS-YOLO: a lightweight real-time traffic sign detector in resource-constrained environments
Machine learning-based feature selection and classification for cerebral infarction screening: an experimental study
Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset
Reliable renewable energy forecasting for climate change mitigation
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
Detecting rumors in social media using emotion based deep learning approach
A description and sensitivity analysis of the ArchMatNet agent-based model
Rural micro-credit model design and credit risk assessment via improved LSTM algorithm
Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency
Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm
An optimized LSTM network for improving arbitrage spread forecasting using ant colony cross-searching in the K-fold hyperparameter space
Adversarial example defense based on image reconstruction
Dynamic token encryption for preventing permission leakage in serverless architectures
Democratizing AI: non-expert design of prediction tasks
Addressing cyberbullying in Urdu tweets: a comprehensive dataset and detection system
Current approaches for executing big data science projects - a systematic literature review
Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge
An effective fingerprint orientation field estimation method using differential values of grayscale intensity
Symbolic expression generation via variational auto-encoder
Design of personalized creation model for cultural and creative products based on evolutionary adaptive network
Integrated bagging-RF learning model for diabetes diagnosis in middle-aged and elderly population
Large language models and their impact in medical imaging education
Interval Coded Scoring: a toolbox for interpretable scoring systems
Lean requirements traceability automation enabled by model-driven engineering
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network
Fairness-enhancing classification methods for non-binary sensitive features - How to fairly detect leakages in water distribution systems
Comparison of the performance of skip lists and splay trees in classification of internet packets
Assessing BERT-based models for Arabic and low-resource languages in crime text classification
Advertisement design in dynamic interactive scenarios using DeepFM and long short-term memory (LSTM)
Search, access, and explore life science nanopublications on the Web
Prediction of wheat fusarium head blight severity levels in southern Henan based on K-means-SMOTE and XGBoost algorithms
Chatbots integrated in the metaverse: a conceptual model based on interaction ritual chain theory
Architecting an enterprise financial management model: leveraging multi-head attention mechanism-transformer for user information transformation
Optimizing type 2 diabetes management: AI-enhanced time series analysis of continuous glucose monitoring data for personalized dietary intervention
Formal verification of Matrix based MATLAB models using interactive theorem proving
An optimized BERT fine-tuned model using an artificial bee colony algorithm for automatic essay score prediction
Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
LPITutor: an LLM based personalized intelligent tutoring system using RAG and prompt engineering
q-Rung orthopair fuzzy dynamic aggregation operators with time sequence preference for dynamic decision-making
Multiple comparative metagenomics using multiset k -mer counting
A multi-scale convolutional and color-adaptive approach for sensory enhancement in cultural and creative product packaging
The prediction of collective Economic development based on the PSO-LSTM model in smart agriculture
COVID-19 mass media coverage in English and public reactions: a West-East comparison via Facebook posts
Design of Chinese painting style classification model based on multi-layer aggregation CNN
TTGNet-AMD: Android malware detection based on multi-modal feature fusion
A technique for parallel query optimization using MapReduce framework and a semantic-based clustering method
TurkMedNLI: a Turkish medical natural language inference dataset through large language model based translation
Multi-stage hybrid flow shop scheduling problem with lag, unloading, and transportation times
Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks
Non-invasive enhanced hypertension detection through ballistocardiograph signals with Mamba model
Mining highly reliable dense subgraphs from uncertain weighted graphs for protein-protein interaction networks
Efficient prediction of anticancer peptides through deep learning
An ensemble learning-based feature selection algorithm for identification of biomarkers of renal cell carcinoma
Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions
Soft-core processor integration based on different instruction set architectures and field programmable gate array custom datapath implementation
Enhancing traditional Chinese medical named entity recognition with Dyn-Att Net: a dynamic attention approach
Record linkage of banks and municipalities through multiple criteria and neural networks
Joint coordinate attention mechanism and instance normalization for COVID online comments text classification
Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations
Spatio-temporal causal graph attention network for traffic flow prediction in intelligent transportation systems
Leveraging a hybrid convolutional gated recursive diabetes prediction and severity grading model through a mobile app
Integrating international Chinese visualization teaching and vocational skills training: leveraging attention-connectionist temporal classification models
A hybrid deep learning approach with progressive cyclical CNN and firebug swarm optimization for breast cancer detection
Enhancing artistic analysis through deep learning: a graphic art element recognition model based on SSD and FPT
Feature selection based on neighborhood rough sets and Gini index
On the evaluation of android malware detectors against code-obfuscation techniques
How weather impacts expressed sentiment in Russia: evidence from Odnoklassniki
Classification of high-voltage power line structures in low density ALS data acquired over broad non-urban areas
PyRINEX: a new multi-purpose Python package for GNSS RINEX data
Pilot study of the relation between various dynamics of avatar experience and perceptual characteristics
Deep gradient reinforcement learning for music improvisation in cloud computing framework
Improved genetic algorithm optimized LSTM model and its application in short-term traffic flow prediction
A full reference quality assessment method with fused monocular and binocular features for stereo images
Video transaction algorithm considering FISCO alliance chain and improved trusted computing
Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing
Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm
A new optimization algorithm based on average and subtraction of the best and worst members of the population for solving various optimization problems
PSLDV-Hop: a robust localization algorithm for WSN using PSO and refinement process
The classification of movement intention through machine learning models: the identification of significant time-domain EMG features
CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence?
Detection of railway catenary insulator defects based on improved YOLOv5s
Effect of visual imagery in COVID-19 social media posts on users' perception
Robust coffee plant disease classification using deep learning and advanced feature engineering techniques
A dynamic block reward approach to improve the performance of blockchain systems
Sensor-based systems for the measurement of Functional Reach Test results: a systematic review
Enhancement of conformational B-cell epitope prediction using CluSMOTE
Research on three-state reliability evaluation method of high reliability system based on multi-source prior information
Road surface semantic segmentation for autonomous driving
ShExML: improving the usability of heterogeneous data mapping languages for first-time users
Enhancing drone autonomy through cloud integration: a comprehensive software architecture for navigation, visual servoing, and control
A model for correlation-based choreographic programming
Multi-angle perception and convolutional neural network for service quality evaluation of cross-border e-commerce logistics enterprise
A-RESS new dynamic and smart system for renewable energy sharing problem
Single-view 3D reconstruction via dual attention
Critical reflections on three popular computational linguistic approaches to examine Twitter discourses
Automated sentiment analysis of visually impaired students' audio feedback in virtual learning environments
A hybrid algorithmic model for enhancing security in intelligent reflecting surface-assisted wireless communication
Enhancing transportation network intelligence through visual scene feature clustering analysis with 3D sensors and adaptive fuzzy control
FMC 2 model based perception grading for dark insurgent network analysis
Awareness of security and privacy settings in video conferencing apps among faculty during the COVID-19 pandemic
(Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment
Faster numeric static analyses with unconstrained variable oracles
Synthetic dataset generation for object-to-model deep learning in industrial applications
A hybrid attention network with convolutional neural network and transformer for underwater image restoration
GCN-based stock relations analysis for stock market prediction
Predictions of bitcoin prices through machine learning based frameworks
IoT-based control and monitoring system for hydroponic plant growth using image processing and mobile applications
Automated urban landscape design: an AI-driven model for emotion-based layout generation and appraisal
Aguhyper: a hyperledger-based electronic health record management framework
TMAC: a Transformer-based partially observable multi-agent communication method
Ensemble graph auto-encoders for clustering and link prediction
Reconstructing the history of a WD40 beta-propeller tandem repeat using a phylogenetically informed algorithm
Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control
Towards FAIR protocols and workflows: the OpenPREDICT use case
Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages
Deep learning-based automatic action extraction from structured chemical synthesis procedures
A decision support framework for optimizing career path prediction and vocational mobility of college graduates
Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction
A comprehensive review of ball detection techniques in sports
A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks
Improving English-Chinese translation using the Kolmogorov-Arnold Transformer
Exploring the information quality of mobile government services: a literature review
TAMNR: a network embedding learning algorithm using text attention mechanism
Optimizing lexical fitness assessment in L2 Chinese reading texts
An integrated modeling, verification, and code generation for uncrewed aerial systems: less cost and more efficiency
Hybrid post-quantum Transport Layer Security formal analysis in Maude-NPA and its parallel version
Cloud type classification using deep learning with cloud images
GenACO a multi-objective cached data offloading optimization based on genetic algorithm and ant colony optimization
Design of a hazard prediction system with intelligent multimodal fusion based on artificial intelligence & internet of things technology: taking a crib as an example
Graph-based deep fusion for architectural text representation
Improved YOLOv4-tiny based on attention mechanism for skin detection
ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms
Relation extraction in Chinese using attention-based bidirectional long short-term memory networks
Ask me in your own words: paraphrasing for multitask question answering
International trade market forecasting and decision-making system: multimodal data fusion under meta-learning
Research on fault location algorithm of TPSS based on PSOA