yusuke1997/dblp-id-title huggingface dataset:
Advancing opinion mining with optimised explicit feature extraction in customer reviews
Legal document similarity: a multi-criteria decision-making perspective
Predicting the satisfiability of Boolean formulas by incorporating gated recurrent unit (GRU) in the Transformer framework
A computational approach to predicting principal discharge diagnoses for enhanced morbidity surveillance
On component-wise dissimilarity measures and metric properties in pattern recognition
Strongly solved Ostle: calculating a strong solution helps compose high-quality puzzles for recent games
Iterative guided image fusion
Design of a corporate financial crisis prediction model based on improved ABC-RNN+Bi-LSTM algorithm in the context of sustainable development
A novel deep neural network structure for software fault prediction
A novel approach to improving colonoscopy learning efficiency through a colonoscope roaming system: randomized controlled trial
GrimoireLab: A toolset for software development analytics
Artificial intelligence-driven malware detection framework for internet of things environment
Innovative multi objective optimization based automatic fake news detection
An improved hybrid whale optimization algorithm for global optimization and engineering design problems
dxpr : an R package for generating analysis-ready data from electronic health records - diagnoses and procedures
Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems
Advanced feature selection to study the internationalization strategy of enterprises
Exploiting nearest neighbor data and fuzzy membership function to address missing values in classification
Adversarial feature learning for semantic communication in human 3D reconstruction
A literature review on disease detection with automated machine learning
Classification of imbalanced ECGs through segmentation models and augmented by conditional diffusion model
Prediction of antigenic peptides of SARS- CoV-2 pathogen using machine learning
LFC-UNet: learned lossless medical image fast compression with U-Net
Label-Guided relation prototype generation for Continual Relation Extraction
Blockchain-enabled infrastructural security solution for serverless consortium fog and edge computing
Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm
Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients
Computational methods for the ab initio identification of novel microRNA in plants: a systematic review
Emotion classification using advanced neural networks on sentence-level data
Accurately predicting heat transfer performance of ground-coupled heat pump system using improved autoregressive model
Predicting danceability and song ratings using deep learning and auditory features
A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset
Single-image super-resolution reconstruction based on phase-aware visual multi-layer perceptron (MLP)
Lightweight transformer image feature extraction network
CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism
Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets
DES-YOLO: a novel model for real-time detection of casting surface defects
Role clarity deficiencies can wreck agile teams
A novel fuzzy programming approach for piece selection problem in P2P content distribution network
Measurement of sulfur content in coal mining areas by using field-remote sensing data and an integrated deep learning model
Predicting rice diseases across diverse agro-meteorological conditions using an artificial intelligence approach
Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic
A big data analysis algorithm for massive sensor medical images
An optimized multi-attribute decision-making approach to construction supply chain management by using complex picture fuzzy soft set
A novel systematic byte substitution method to design strong bijective substitution box (S-box) using piece-wise-linear chaotic map
The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning
A path aggregation network with deformable convolution for visual object detection
Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost
Comparing general and specialized word embeddings for biomedical named entity recognition
Backlight and dim space object detection based on a novel event camera
Modified graph-based algorithm to analyze security threats in IoT
Performance analysis of aspect-level sentiment classification task based on different deep learning models
An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images
A robust maximum correntropy forecasting model for time series with outliers
Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms
Deepfake video detection: YOLO-Face convolution recurrent approach
Assessing the risk of falling in community-dwelling older adults through cognitive domains and machine learning techniques
Automated programming approaches to enhance computer-aided translation accuracy
Deep reinforcement learning models in auction item price prediction: an optimisation study of a cross-interval quotation strategy
Efficient VANET safety message delivery and authenticity with privacy preservation
A domain-specific language for managing ETL processes
Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions
STTA: enhanced text classification via selective test-time augmentation
Optimizing colorectal cancer segmentation with MobileViT-UNet and multi-criteria decision analysis
Spammer group detection and diversification of customers' reviews
The feature enhancement method of artistic images based on histogram equalization and bilateral filtering
Detecting sarcasm in user-generated content integrating transformers and gated graph neural networks
Dynamic temporal reinforcement learning and policy-enhanced LSTM for hotel booking cancellation prediction
The critical node detection problem in hypergraphs using weighted node degree centrality
Reconstructed SqueezeNext with C-CBAM for offline handwritten Chinese character recognition
A novel YOLOv11 framework for enhanced tomato disease detection
Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office
Key derivation function: key-hash based computational extractor and stream based pseudorandom expander
Detection of protein, starch, oil, and moisture content of corn kernels using one-dimensional convolutional autoencoder and near-infrared spectroscopy
A product quality impacts of a mobile software product line: an empirical study
Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction
Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet
Kernel random forest with black hole optimization for heart diseases prediction using data fusion
Genome-wide association studies of ischemic stroke based on interpretable machine learning
Integrating artificial intelligence (AI) in healthcare: advancing older adults' health management in Saudi Arabia through AI-powered chatbots
Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia
A data-centric way to improve entity linking in knowledge-based question answering
An artificial intelligence based news feature mining system based on the Internet of Things and multi-sensor fusion
2D facial landmark localization method for multi-view face synthesis image using a two-pathway generative adversarial network approach
Intelligent educational systems based on adaptive learning algorithms and multimodal behavior modeling
Cloud-based real-time enhancement for disease prediction using Confluent Cloud, Apache Kafka, feature optimization, and explainable artificial intelligence
Finding the optimal Bayesian network given a constraint graph
Gender and age detection assist convolutional neural networks in classification of thorax diseases
Construction of a rural tourism information service management system for multi-source heterogeneous data processing
Optimizing power allocation for URLLC-D2D in 5G networks with Rician fading channel
A survey of Chinese interpreting studies: who influences who ...and why?
Implicit detection of user handedness in touchscreen devices through interaction analysis
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS
Feature selection for emotion recognition in speech: a comparative study of filter and wrapper methods
Comparative analysis of scheduling algorithms for radio resource allocation in future communication networks
TTECCDU: a blockchain-based approach for expressive authorization management
Multicriteria scheduling of two-subassembly products with batch availability and precedence constraints
An integrated platform for intuitive mathematical programming modeling using LaTeX
Confusion2Vec: towards enriching vector space word representations with representational ambiguities
Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning
SDN-enabled adaptive security framework for multi-cloud infrastructures using deep learning-based threat detection and policy management
Sensitivity of deep learning applied to spatial image steganalysis
Toward an autism-friendly environment based on mobile apps user feedback analysis using deep learning and machine learning models
NFAD: fixing anomaly detection using normalizing flows
Lung image segmentation with improved U-Net, V-Net and Seg-Net techniques
Empowering cognitive disabilities in transit: an explainable, emotion-aware ITS framework
Segmentation of biventricle in cardiac cine MRI via nested capsule dense network
On solving textual ambiguities and semantic vagueness in MRC based question answering using generative pre-trained transformers
Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving
Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images
Global vision object detection using an improved Gaussian Mixture model based on contour
Transmission line foreign object segmentation based on RB-UNet algorithm
Executing native Java code in R: an approach based on a local server
Blind normalization of public high-throughput databases
Enhancing breast cancer prediction through stacking ensemble and deep learning integration
A secure fingerprint hiding technique based on DNA sequence and mathematical function
A bi-criterion sequence-dependent scheduling problem with order deliveries
Mobile augmented reality based indoor map for improving geo-visualization
Application of multimodal ultrasonography to predicting the acute kidney injury risk of patients with sepsis: artificial intelligence approach
Fixation patterns in pairs of facial expressions - preferences of self-critical individuals
Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India
Bracken: estimating species abundance in metagenomics data
Data-based intervention approach for Complexity-Causality measure
Development of a travel recommendation algorithm based on multi-modal and multi-vector data mining
Multi-modal affine fusion network for social media rumor detection
Field-road classification for agricultural vehicles in China based on pre-trained visual model
Pre-trained quantum convolutional neural network for COVID-19 disease classification using computed tomography images
Estimating compressive strength of CO 2 incorporated concrete with data augmentation and explainable regression modeling
Multimodal biometric identification: leveraging convolutional neural network (CNN) architectures and fusion techniques with fingerprint and finger vein data
A comprehensive review of gait analysis using deep learning approaches in criminal investigation
Combined spatial and frequency dual stream network for face forgery detection
A systematic review on artificial intelligence techniques for detecting thyroid diseases
Using of n-grams from morphological tags for fake news classification
An architecture for non-linear discovery of aggregated multimedia document web search results
Improvement of nuclear facilities DNP3 protocol data transmission security using super encryption BRC4 in SCADA systems
Double-target self-supervised clustering with multi-feature fusion for medical question texts
Proposal of a remote education model with the integration of an ICT architecture to improve learning management
Evaluating knowledge-based security questions for fallback authentication
Adaptive sentiment analysis using multioutput classification: a performance comparison
Feature-based enhanced boosting algorithm for depression detection
Usability and optimization of online apps in user's context
Network intrusion detection using oversampling technique and machine learning algorithms
An algorithmic multiple attribute decision-making method for heart problem analysis under neutrosophic hypersoft expert set with fuzzy parameterized degree-based setting
OBC-YOLOv8: an improved road damage detection model based on YOLOv8
EAD: effortless anomalies detection, a deep learning based approach for detecting outliers in English textual data
How Internet of Things responds to the COVID-19 pandemic
DLProv: a suite of provenance services for deep learning workflow analyses
An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF
Probabilistic biomechanical finite element simulations: whole-model classical hypothesis testing based on upcrossing geometry
Robust ellipsoidal set-membership fault estimation for time-varying systems with uniform quantization effects over sensor networks
Exact acceleration of complex real-time model checking based on overlapping cycle
A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss
The multi-modal fusion in visual question answering: a review of attention mechanisms
A federated learning framework based on transfer learning and knowledge distillation for targeted advertising
AI-based automated breast cancer segmentation in ultrasound imaging based on Attention Gated Multi ResU-Net
Aspect extraction on user textual reviews using multi-channel convolutional neural network
Discovering generative models from event logs: data-driven simulation vs deep learning
Detecting hate speech in roman Urdu using a convolutional-BiLSTM-based deep hybrid neural network
Medical decision support for dengue shock syndrome using a bipolar linear diophantine fuzzy hypersoft model with trigonometric similarity
The classification of skateboarding tricks via transfer learning pipelines
Development and evaluation of customized software to automatically align macula and optic disc centered scanning laser ophthalmoscope fundus images
Evaluation of deepfake detection using YOLO with local binary pattern histogram
Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines
Managing slow-moving item: a zero-inflated truncated normal approach for modeling demand
Early detection of abiotic stress in plants through SNARE proteins using hybrid feature fusion model
Multi-task snake optimization algorithm for global optimization and planar kinematic arm control problem
A robust deep learning model for fall action detection using healthcare wearable sensors
Enhancing the e-learning system based on a novel tasks' classification load-balancing algorithm
Enhancing east-west interface security in heterogeneous SDN via blockchain
High-dimensional normalized data profiles for testing derivative-free optimization algorithms
Strip thickness prediction method based on improved border collie optimizing LSTM
A comprehensive secure system enabling healthcare 5.0 using federated learning, intrusion detection and blockchain
The rise and fall of DAOstack: lessons for decentralized autonomous organizations
In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches
DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions
Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources
SSM-FastICANet: a hybrid state space and FastICA model for economic growth forecasting in energy-economy-environment systems
Requests classification in the customer service area for software companies using machine learning and natural language processing
Security durability assessment through fuzzy analytic hierarchy process
Clone detection for business process models
CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification
An extended container placement mechanism to enhance the efficiency of cloud systems
Teaching computer architecture by designing and simulating processors from their bits and bytes
Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction
Demand-side load forecasting in smart grids using machine learning techniques
Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm
Zero-shot cross-lingual stance detection via adversarial language adaptation
Password authenticated key exchange-based on Kyber for mobile devices
MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks
Design of innovation ability evaluation model based on IPSO-LSTM in intelligent teaching
REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13
Continuously revised assurance cases with stakeholders' cross-validation: a DEOS experience
LOPDF: a framework for extracting and producing open data of scientific documents for smart digital libraries
NOMA-MIMO in 5G network: a detailed survey on enhancing data rate
Physicochemical properties-based hybrid machine learning technique for the prediction of SARS-CoV-2 T-cell epitopes as vaccine targets
Modeling and implementation of a real-time digital twin for the Stewart platform with real-time trajectory computation
Aerial image segmentation of embankment dams based on multispectral remote sensing: a case study in the Belo Monte Hydroelectric Complex, Pará, Brazil
The external and data loose coupling for the integration of software units: a systematic mapping study
Skin cancer classification using novel fairness based federated learning algorithm
Pylogeny: an open-source Python framework for phylogenetic tree reconstruction and search space heuristics
A novel smart multilevel security approach for secure data outsourcing in crisis
Enhancing intrusion detection performance using explainable ensemble deep learning
Towards efficient glaucoma screening with modular convolution-involution cascade architecture
Determining the factors affecting customer satisfaction using an extraction-based feature selection approach
Automatic detection of potentially illegal online sales of elephant ivory via data mining
A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments
A space and time efficient convolutional neural network for age group estimation from facial images
TuFoC: regional classification of Turkish folk music recordings using deep learning on Mel spectrograms
Integration of federated learning with IoT for smart cities applications, challenges, and solutions
Energy-efficient routing protocol for reliable low-latency Internet of Things in oil and gas pipeline monitoring
Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation
Application of multimodality perception scene construction based on Internet of Things (IoT) technology in art teaching
Traffic signal coordination control along oversaturated two-way arterials
DAE Tools: equation-based object-oriented modelling, simulation and optimisation software
Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments
Adaptive robust structure exploration for complex systems based on model configuration and fusion
Minimizing features while maintaining performance in data classification problems
Optimal sequence for chain matrix multiplication using evolutionary algorithm
MCNMF-Unet: a mixture Conv-MLP network with multi-scale features fusion Unet for medical image segmentation
Image reconstruction in graphic design based on Global residual Network optimized compressed sensing model
Sleep disorder and apnea events detection framework with high performance using two-tier learning model design
A message recovery attack on multivariate polynomial trapdoor function
Adaptive adjacent context negotiation network for object detection in remote sensing imagery
Experimental study on short-text clustering using transformer-based semantic similarity measure
Low-cost intelligent surveillance system based on fast CNN
Adaptive AI for competitive gaming: particle-swarm-optimized neural network for skill, engagement, and strategic evolution
Machine learning and deep learning techniques in Arabic question answering systems: innovations and challenges
BERT-based tourism named entity recognition: making use of social media for travel recommendations
Digital security vulnerabilities and threats implications for financial institutions deploying digital technology platforms and application: FMEA and FTOPSIS analysis
Automatic pulmonary artery-vein separation in CT images using a twin-pipe network and topology reconstruction
Automatic pancreatic cancer segmentation and classification in CT images using an integrated deep-learning approach
A conflicts' classification for IoT-based services: a comparative survey
Enhancing prediction of tooth caries using significant features and multi-model classifier
A fault-intrusion-tolerant system and deadline-aware algorithm for scheduling scientific workflow in the cloud
Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique
Decoding Bitcoin: leveraging macro- and micro-factors in time series analysis for price prediction
3D model retrieval based on interactive attention CNN and multiple features
DistilRoBiLSTMFuse: an efficient hybrid deep learning approach for sentiment analysis
A dynamic graph Hawkes process based on linear complexity self-attention for dynamic recommender systems
Systematic evaluation of ChatGPT performance in providing renewable energy information
A chaos theory inspired, asynchronous two-way encryption mechanism for cloud computing
Beyond top-k: knowledge reasoning for multi-answer temporal questions based on revalidation framework
Local-global multi-scale attention network for medical image segmentation
Causal graph extraction from news: a comparative study of time-series causality learning techniques
FPGA-based systolic deconvolution architecture for upsampling
RehaBEElitation : the architecture and organization of a serious game to evaluate motor signs in Parkinson's disease
Structural modeling and analysis of fuel cell: a graph-theoretic approach
Human-computer interaction based on background knowledge and emotion certainty
An efficient approach to identifying anti-government sentiment on Twitter during Michigan protests
Internet of Things-based sustainable environment management for large indoor facilities