yusuke1997/dblp-id-title huggingface dataset:
Availability of Voice-Recognition Devices to Support Visually Impaired Students in Saudi Arabian Universities
On the Invisibility and Anonymity of Undeniable Signature Schemes
Authentication Framework by Using Lightweight Chaos-Driven Blockchain to Identify Malicious Nodes in WSNs
Real-Time Object Detection Using YOLO-8 Model: A Drone Based Approach
A Generic Role Based Access Control Model for Wind Power Systems
A New Certificateless Blind Signature Scheme
CityScripts: Unifying Web, IoT and Smart City Services in a Smart Citizen Workspace
Hiding Information into OOXML Documents: New Steganographic Perspectives
A Greedy Algorithm for Target Coverage Scheduling in Directional Sensor Networks
Heart Sound Analysis Using SAINet Incorporating CNN and Transfer Learning for Detecting Heart Diseases
Blockchain Technology in Enhancing Health Care Ecosystem for Sustainable Development
Improved VANET Connectivity in Sparse RSU Environments Using Enhanced DSR Protocol: Challenges and Solutions
Research on Note-Taking Apps with Security Features
Guest Editorial: Special Issue on Interdisciplinary Cybersecurity
Guest Editorial: Emerging Software Reliability and System Security Technologies
Wireless Mobile Network with Transfer Learning Algorithm for Multilingual Education and Historical Research
Load Forecasting for Demand Side Management in Smart Grid using Non-Linear Machine Learning Technique
5G Adoption Modeling in the Gulf: A Deep Learning-Driven SEM Framework for Intelligent and Dependable Wireless Networks
Gesture-Based Interfaces in Pervasive Human-Machine Interaction
Maximizing Glucose Detection Accuracy with Sensors Based Optimized Deep Learning Algorithm
A Model-Driven Approach to Noninterference
Efficient Distribution and Processing of Data for Parallelizing Data Mining in Mobile Clouds
Design and Analysis of Wireless Power Transmission (2X1) MIMO Antenna at 5G - Frequencies for Applications of Rectenna Circuits in Biomedical
ResNet152: A Deep Learning Approach for Robust Spoof Detection in Speaker Verification Systems
Hybrid Deep Learning Model Based Lung Cancer Prediction and Classification with OTSU Segmentation Method
Fog Computing Architectures for Real-Time Data Processing and Edge Intelligence in Ubiquitous Applications
Heart Rate Variability Analysis for Cardiovascular Disease Detection Using MIDNet 18 Architecture
Securing Future Internet and 5G using Customer Edge Switching using DNSCrypt and DNSSEC
WoTs-TDGV: Thing Description Generator and Validator
Use of Expert Judgments to Inform Bayesian Models of Insider Threat Risk
Ticket-Based Schemes for Anonymity and Authentication on Wireless Mobile Networks
A Novel Algorithm for Respiration Rate Detection Using Deep Learning and Real-Time Sensor Data
Using Artificial Intelligence to Strengthen the Interaction between Humans and Computers and Biosensor Cooperation
Stock Index Prediction Using Temporal Convolutional Network and Long Short-Term Memory Network Optimized by Genetic Algorithm
Guest Editorial: Smart Things, Big Data Technology and Ubiquitous Computing solutions for the future Internet of Things
Detecting Masqueraders: A Comparison of One-Class Bag-of-Words User Behavior Modeling Techniques
Effective Routing of Mobile Sink in Wireless Sensor Networks Using Steiner Trees
Quantitative Evaluation of Android Application Privacy Security Based on Privacy Policy and Behaviour
A Fine-Grained Privacy Preserving Protocol over Attribute Based Access Control for VANETs
PPM: Privacy Policy Manager for Home Energy Management System
Mobile App Security Analysis with the MAVeriC Static Analysis Module
Exploiting QR Code Error Correction for Digital Image Watermarking
A Smart Crowd Monitoring and Management Model for Humanity in Intelligent Environments: A Real-Time Application Scenario
Guest Editorial: Security and Privacy for Contemporary Network Computing Environment
Improved Secure IoTs-Based Visual Computing with Image Processing and Artificial Intelligence Techniques for Accurate Predicting of Novel COVID
Impact Analysis of Training Data Characteristics for Phishing Email Classification
A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks
An Informative Perturbation Network for the Design of Colonel Adaptive AI Systems
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning
A Machine Learning-based Secured and Energy-efficient Data Transmission in Mobile Ad-Hoc Networks (MANET)
Social networks analysis by graph algorithms on the example of the VKontakte social network
ShadowHeap: Memory Safety through Efficient Heap Metadata Validation
An Ensemble-based Machine Learning Model for Investigating Children Interaction with Robots in Childhood Education
Supporting Common Criteria Security Analysis with Problem Frames
Empirical Validation on the Usability of Security Reports for Patching TLS Misconfigurations: User- and Case-Studies on Actionable Mitigations
A novel fuzzy knowledge graph structure for decision making of multimodal big data
Which courses to choose? recommending courses to groups of students in online tutoring platforms
Implicit relational attention network for few-shot knowledge graph completion
FacialCueNet: unmasking deception - an interpretable model for criminal interrogation using facial expressions
Multi-objective particle swarm optimization based on cooperative hybrid strategy
Probabilistic neural network training procedure based on Q(0)-learning algorithm in medical data classification
From private to public: benchmarking GANs in the context of private time series classification
Efficient data reduction in multimedia data
Emp-EEK: generating empathetic responses via exemplars and external knowledge
A Symbolic Approach To Uncertainty Management
Phase enhancement model based on supervised convolutional neural network for coherent DOA estimation
A hybrid multi-criteria decision making approach for assessing health-care waste management technologies based on soft likelihood function and D-numbers
Supervised labeled latent Dirichlet allocation for document categorization
K-nearest neighbor-based weighted twin support vector regression
Adaptive hypergraph regularized logistic regression model for bioinformatic selection and classification
Cascaded parallel crowd counting network with multi-resolution collaborative representation
A dual-branch network based on optical flow learning and semantic consistency for macro-expression spotting
An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury
Semantic interaction-enhanced encoding network for math word problem solving
Non-linear target trajectory prediction for robust visual tracking
Data-driven missing data imputation in cluster monitoring system based on deep neural network
Regularized multi-view least squares twin support vector machines
A continuous interval-valued double hierarchy linguistic GLDS method and its application in performance evaluation of bus companies
Capped L 1 -norm distance metric-based fast robust twin extreme learning machine
Efficient photorealistic style transfer with multi-order image statistics
Analysis of vertical eye movements in Parkinson's disease and its potential for diagnosis
Weakly supervised point cloud semantic segmentation based on scene consistency
Optimizing multicast routing tree on application layer via an encoding-free non-dominated sorting genetic algorithm
Learning Communication Strategies in Multiagent Systems
Deep learning-based multi-element identification system for percutaneous endoscopic spine surgery: development and comparative evaluation of neural network models
Managing Tasks Using an Interval-Based Temporal Logic
A Novel Self-Organizing Neural Network for Motion Segmentation
Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification
Editorial of special issue on emerging topics in applied intelligence
Altruistic coordination for multi-robot cooperative pathfinding
Extracting cross-modal semantic incongruity with attention for multimodal sarcasm detection
Estimation of individual prediction reliability using the local sensitivity analysis
Parallel reduced multi-class contour preserving classification
Corner Sparse R-CNN for Pedestrian Detection in Dense Scenes
METER: Multi-task efficient transformer for no-reference image quality assessment
KIETA: Key-insight extraction from scientific tables
A multi-task dual attention deep recommendation model using ratings and review helpfulness
A novel POI recommendation model based on joint spatiotemporal effects and four-way interaction
A nonlinear-programming methodology for multi-attribute decision-making problem with interval-valued intuitionistic fuzzy soft sets information
Cooperative co-evolution with sensitivity analysis-based budget assignment strategy for large-scale global optimization
Learning what to memorize: Using intrinsic motivation to form useful memory in partially observable reinforcement learning
A maximum-likelihood and moment-matching density estimator for crowd-sourcing label prediction
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin
Monitoring of complex systems of interacting dynamic systems
Fast detection method of green peach for application of picking robot
Building user argumentative models
Adaptive sparsity detection-based evolutionary algorithm for large-scale sparse multi-objective optimization problems
Dynamic dual quaternion knowledge graph embedding
Early straggler tasks detection by recurrent neural network in a heterogeneous environment
Convolutional attention-based contrastive learning for partial label learning
Goal selection and feedback for solving math word problems
A framework for the fusion of non-exclusive and incomplete information on the basis of D number theory
A novel selective ensemble point and interval prediction system for energy futures price: Forming a new multi-objective modeling paradigm
A hybrid multi-objective evolutionary algorithm with feedback mechanism
Supervised ranking approach to identify infLuential websites in the darknet
Second-order convolutional networks for iris recognition
SKGCR: self-supervision enhanced knowledge-aware graph collaborative recommendation
Short-term load forecasting based on IPSO-DBiLSTM network with variational mode decomposition and attention mechanism
Knowledge graph embedding by projection and rotation on hyperplanes for link prediction
A novel cause analysis approach of grey reasoning Petri net based on matrix operations
A rough ν-twin support vector regression machine
Visible and thermal image fusion network with diffusion models for high-level visual tasks
RAOD: refined oriented detector with augmented feature in remote sensing images object detection
EEM: evolutionary ensembles model for activity recognition in Smart Homes
Cross-modal contrastive learning for multimodal sentiment recognition
Local feature matching from detector-based to detector-free: a survey
Edge-based graph neighbor filtering network for recommendation
Schemas, Logics, and Neural Assemblies
Optimizing LSTM and Bi-LSTM models for crop yield prediction and comparison of their performance with traditional machine learning techniques
Urban ride-hailing demand prediction with multi-view information fusion deep learning framework
User profile as a bridge in cross-domain recommender systems for sparsity reduction
Multi-stream fish detection in unconstrained underwater videos by the fusion of two convolutional neural network detectors
Enhancing counterfactual explanations with causal inference: integrating DirectLiNGAM and variational autoencoders for constraint-aware generation
A new framework for graph neural network with local information diffusion
Many-objective emergency aided decision making based on knowledge graph
Airport ground cargo transportation scheduling problem: simultaneously considering logistics vehicles and handling facilities under strict time restriction
Optimal time-based strategy for automated negotiation
Agent-Based Design Model of Adaptive Distributed Systems
C-CADZ: computational intelligence system for coronary artery disease detection using Z-Alizadeh Sani dataset
An Interactive Case-Based Reasoning Approach for Generating Expressive Music
Feature selection method for color image steganalysis based on fuzzy neighborhood conditional entropy
Sparse modified marginal fisher analysis for facial expression recognition
Imputation of Missing Data in Industrial Databases
A belief interval euclidean distance entropy of the mass function and its application in multi-sensor data fusion
Underwater vision enhancement based on GAN with dehazing evaluation
Multi-view latent structure learning with rank recovery
Reinforcement learning based agents for improving layouts of automotive crash structures
Concept agent network for zero-base generalized few-shot learning
Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification
A Physically-Constrained Ensemble Learning Rate of Penetration Prediction Model based on Multi-Source Data Fusion
Graph optimization for unsupervised dimensionality reduction with probabilistic neighbors
Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices
Detecting sparse building change with ambiguous label using Siamese full-scale connected network and instance augmentation
Transformer networks with adaptive inference for scene graph generation
Transferring the semantic constraints in human manipulation behaviors to robots
A continuous-time diffusion model for inferring multi-layer diffusion networks
Contextual-wise discriminative feature extraction and robust network learning for subcortical structure segmentation
A Hybrid Approach to Vehicle Routing Using Neural Networks and Genetic Algorithms
CA-PDBPR: category-aware privacy preserving POI recommendation using decentralized Bayesian personalized ranking
YOLOv3-MT: A YOLOv3 using multi-target tracking for vehicle visual detection
Future frame prediction based on generative assistant discriminative network for anomaly detection
Active pairwise distance learning for efficient labeling of large datasets by human experts
New approaches for mining regular high utility sequential patterns
Crowdfunding project evaluation based on Fermatean fuzzy SAHARA three-way decision method
A novel class-level weighted partial domain adaptation network for defect detection
Recursive support vector censored regression for monitoring product quality based on degradation profiles
Analysis of a production system of green products considering single-level trade credit financing via a parametric approach of intervals and meta-heuristic algorithms
Spatial Persistence
Spatiotemporal semantic network for ENSO forecasting over long time horizon
Multi-branch detection network based on trigger attention for pedestrian detection under occlusion
Pinball loss support vector data description for outlier detection
TransBLS: transformer combined with broad learning system for facial beauty prediction
Deep discriminative dictionary pair learning for image classification
Sample-efficient multi-agent reinforcement learning with high update-to-data ratio and state-action embedding
A parallel hill-climbing algorithm to generate a subset of irreducible testors
A typhoon optimization algorithm and difference of CNN integrated bi-level network for unsupervised underwater image enhancement
Generalization of neural network for manipulator inverse dynamics model learning
High-dimensional causal discovery based on heuristic causal partitioning
CoAM-Net: coordinate asymmetric multi-scale fusion strategy for polyp segmentation
A new class correlation-based dynamic sample weighting method for medical image classification
Multi-level relation learning for cross-domain few-shot hyperspectral image classification
Classification model-based assisted preselection and environment selection approach for evolutionary expensive bilevel optimization
Asymmetric similarity-preserving discrete hashing for image retrieval
An architecture and functional description to integrate social behaviour knowledge into group recommender systems
SA-Net: Scene-Aware Network for Cross-domain Stereo Matching
Self-adaptive differential evolution algorithm with improved mutation mode
An adaptive focused Web crawling algorithm based on learning automata
BovdGFE: buffer overflow vulnerability detection based on graph feature extraction
Replay and key-events detection for sports video summarization using confined elliptical local ternary patterns and extreme learning machine
Staged cascaded network for monocular 3D human pose estimation
Adaptive infinite impulse response system identification using opposition based hybrid coral reefs optimization algorithm
Fusion of ANNs as decoder of retinal spike trains for scene reconstruction
Probabilistic load forecasting based on quantile regression parallel CNN and BiGRU networks
Dual discriminant adversarial cross-modal retrieval
Exploration and comparison of diverse approaches for integrating syntactic knowledge into AMR parsing
Bibliometric analysis on the evolution of applied intelligence
Group decision making based on consistency adjustment of distributed preference relations under asymmetric evaluation grades
Covariance matrix forecasting using support vector regression
Correction to: H-BLS: a hierarchical broad learning system with deep and sparse feature learning
Finding every car: a traffic surveillance multi-scale vehicle object detection method
A target-based color space for sea target detection
Civil airline fare prediction with a multi-attribute dual-stage attention mechanism
Transformer based composite network for autonomous driving trajectory prediction on multi-lane highways
FGCH: a fast and grid based clustering algorithm for hybrid data stream
Comparative study of view update algorithms in rational choice theory
Shared subspace least squares multi-label linear discriminant analysis
Multi-objective variational autoencoder: an application for smart infrastructure maintenance
Multi-label imbalanced classification based on assessments of cost and value
Network traffic grant classification based on 1DCNN-TCN-GRU hybrid model
Echo lite voice fusion network: advancing underwater acoustic voiceprint recognition with lightweight neural architectures
Smart places: Multi-agent based smart mobile virtual community management system
A hybrid scatter search meta-heuristic for delay-constrained multicast routing problems
Group competition-cooperation optimization algorithm
CProtoNet: A conceptual prototype network based on conceptual similarity
Feature-comparison network for visual tracking
Selection and impact of different topologies in multi-layered hierarchical fuzzy systems
Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network
Exponential information fractal dimension weighted risk priority number method for failure mode and effects analysis
Enhancing the competitive swarm optimizer with covariance matrix adaptation for large scale optimization
Updating mined class association rules for record insertion
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Automatic incident detection using edge-cloud collaboration based deep learning scheme for intelligent transportation systems
Robust probabilistic planning with ilao
A novel probabilistic linguistic group decision-making method driven by DEA cross-efficiency and trust relationship
TPCaps: a framework for code clone detection and localization based on improved CapsNet
Hyperspectral image classification via active learning and broad learning system
An infrastructure to support cooperation of knowledge-level agents on the semantic Grid
Exception Handling in Workflow Systems
Automated robotic parking systems: real-time, concurrent and multi-robot path planning in dynamic environments
Optimization framework and applications of training multi-state influence nets
Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting
An end-to-end distributed deep learning system for real-time passenger flow measurement in transport interchanges
Unsupervised privacy-enhancement of face representations using similarity-sensitive noise transformations
Constructing explainable health indicators for aircraft engines by developing an interpretable neural network with discretized weights
Detection of explosives in dustbins using deep transfer learning based multiclass classifiers
Controlling gaze with an embodied interactive control architecture
Hybrid handcrafted and learned feature framework for human action recognition
Cell assignment in hybrid CMOS/nanodevices architecture using Tabu Search
Probabilistic multi-knowledge-base systems
Multi-view Laplacian twin support vector machines
Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
Multi-label classifier for protein sequence using heuristic-based deep convolution neural network
Automatic video clip and mixing based on semantic sentence matching
Evolving Neuro-Controllers for a Dynamic System Using Structured Genetic Algorithms
C 2 Net: content-dependent and -independent cross-attention network for anomaly detection in videos
A novel cognitive diagnosis system with attention residual mechanism and broad learning
Overestimated stock market forecasts resulting from the one-time denoising
Deep neural networks for the quantile estimation of regional renewable energy production
Comparison of individual and combined ANN models for prediction of air and dew point temperature
Evolutionary many-objective satisfiability solver for configuring software product lines
Improving text classification through pre-attention mechanism-derived lexicons
A complex-valued encoding wind driven optimization for the 0-1 knapsack problem
Service matching in agent systems
Fast and robust road sign detection in driver assistance systems
Attentive convolutional neural network with the representation of document and sentence for rating prediction
Structured validation of AI-based systems by virtual testing in simulated test scenarios
Parameters auto-tuning for biped robots in whole-body stabilization and active impedance control applications
A genetic algorithm with multi-parent crossover using quaternion representation for numerical function optimization
Discriminative shapelet learning via temporal clustering and matrix factorization
A novel clique formulation for the visual feature matching problem
Multi-modal transformer using two-level visual features for fake news detection
An automatic framework for endoscopic image restoration and enhancement
SiamYOLOv8: a rapid conditional detection framework for one-shot object detection
Formation preserving path finding in 3-D terrains
Telerobotic visual servoing
Overlapping Attributed Graph Clustering using Mixed strategy games
A solution methodology for carpooling systems based on double auctions and cooperative coevolutionary particle swarms
Image-based instance segmentation dense point cloud multimodal 3D object detection
Hand pose estimation with multi-scale network
A noise robust kernel fuzzy clustering based on picture fuzzy sets and KL divergence measure for MRI image segmentation
Constructing tree-based knowledge structures from text corpus
EAdderSR: enhanced AdderSR for single image super resolution
Dynamic game with perfect and complete information based dynamic channel assignment
RD-Hand: a real-time regression-based detector for dynamic hand gesture
A novel multi-class SVM model using second-order cone constraints
Quarrels occurred matters: relevant-aware rumor detection with FK-BERT-enhanced Maak convolution
A new hybrid differential evolution algorithm with self-adaptation for function optimization
A study of ANFIS-based multi-factor time series models for forecasting stock index
Index migration directed by lattice reduction for feature data fusion