yusuke1997/dblp-id-title huggingface dataset:
Low resource neural machine translation model optimization based on semantic confidence weighted alignment
Towards enriching the quality of k -nearest neighbor rule for document classification
Machine learning-based efficient audio production separation method
Understanding bag-of-words model: a statistical framework
An adaptive kernel sparse representation-based classification
An ensemble bat algorithm for large-scale optimization
A novel-designed fuzzy logic control structure for control of distinct chaotic systems
Grey relational analysis using Gaussian process regression method for dissolved gas concentration prediction
An intuitionistic fuzzy weighted OWA operator and its application
Stemming competitive influence spread in social networks through binary ions motion optimization
Deep feature dendrite with weak mapping for small-sample hyperspectral image classification
FineNews: fine-grained semantic sentiment analysis on financial microblogs and news
Deep learning-based intrusion detection system for in-vehicle networks with knowledge graph and statistical methods
Limit cycle oscillation in aeroelastic systems and its adaptive fractional-order fuzzy control
RPGT: a retrospective prompt-guided parameter tuning method for knowledge transfer of contrastive self-supervised vision model
A heterogeneous data fusion mortality prediction model based on time-aware self-attention mechanism
Optimal production schedule in declining market for an imperfect production system
Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction
Improving pattern discovery and visualisation with self-adaptive neural networks through data transformations
A Knowledge-enhanced model with syntactic-aware attentive graph convolutional network for biomedical entity and relation extraction
Active power and reactive power dispatch of wind farm based on wavelet learning
An improved density peaks clustering algorithm based on mutual nearest neighbor distance
Generalized fuzzy variable precision rough sets based on bisimulations and the corresponding decision-making
Quality disclosure with information value under competition
Enhanced spatio-temporal motion prediction using transformer-augmented graph convolutional networks
An approach to interval-valued intuitionistic uncertain linguistic multi-attribute group decision making
A multiobjective cellular genetic algorithm based on 3D structure and cosine crowding measurement
Mobile robot path planning based on multi-experience pool deep deterministic policy gradient in unknown environment
A self-adaptive Harris Hawks optimization algorithm with opposition-based learning and chaotic local search strategy for global optimization and feature selection
Dual stage black-box adversarial attack against vision transformer
Three-way decision based on decision-theoretic rough sets with single-valued neutrosophic information
Three-way improved neighborhood entropies based on three-level granular structures
Local dense mixed region cutting + global rebalancing: a method for imbalanced text sentiment classification
An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions
Daily tourism demand forecasting and tourists' search behavior analysis: a deep learning approach
Multiscale-integrated deep learning approaches for short-term load forecasting
A hybrid-attention semantic segmentation network for remote sensing interpretation in land-use surveillance
n -Dimensional fuzzy hyperideals in semihyperrings
Synchronization for fractional-order neural networks with full/under-actuation using fractional-order sliding mode control
Detection and analysis of android malwares using hybrid dual Path bi-LSTM Kepler dynamic graph convolutional network
Robust stability of stochastic uncertain recurrent neural networks with Markovian jumping parameters and time-varying delays
EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization
Independence of axiom sets characterizing formal concepts
Financial adaptive graph attention network for cross-stock forecasting
A bibliometric analysis on deep learning during 2007-2019
Investigating human reading behavior during sentiment judgment
Eikd: method of extracting important information from feature map for knowledge distillation
Fusion of probabilistic unreliable indirect information into estimation serving to decision making
Hybrid neural network for classification of graph structured data
PEN-DS: progressive enhancement network based on detail supplementation for low-light image enhancement
Bibliometric analysis of support vector machines research trend: a case study in China
On the structure of metric spaces related to pre-rough logic
A modified teaching-learning-based optimization algorithm for numerical function optimization
A comparison of three types of rough fuzzy sets based on two universal sets
A data-driven study for evaluating fineness of cement by various predictors
Clone detection in 5G-enabled social IoT system using graph semantics and deep learning model
Decentralized federated learning model based on network propagation dynamics
Attention recurrent cross-graph neural network for selecting premises
A novel federated learning approach based on the confidence of federated Kalman filters
The bi-objective prize collecting traveling backpacker problem for planning flight itineraries
Optimal interventional policy based on discrete-time fuzzy rules equivalent model utilizing with COVID-19 pandemic data
A review on handwritten text segmentation in Indian languages
Uncertainty measures in rough algebra with applications to rough logic
A novel abstractive summarization model based on topic-aware and contrastive learning
Triple-G: a new MGRS and attribute reduction
Byzantine-robust federated reinforcement learning via critical parameter analysis
A knowledge acquisition method based on concept lattice and inclusion degree for ordered information systems
Integrating curriculum learning with meta-learning for general rhetoric identification
Adaptive fusion of dual SRGANs and top-hat gradient domain filtering for enhancing low-light videos on mobile devices
Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews
New inclusion relation of neutrosophic sets with applications and related lattice structure
ChatHTTPFuzz: large language model-assisted IoT HTTP fuzzing
A comparative experimental evaluation on performance of type-1 and interval type-2 Takagi-Sugeno fuzzy models
Bidirectional generative prompt learning for aspect sentiment triplet extraction
Pairwise-similarity-based instance reduction for efficient instance selection in multiple-instance learning
An automatic three-way clustering method based on sample similarity
Adaptive fuzzy leader-following consensus for nonlinear multi-agent systems via state-constraint impulsive control
A classifier ensemble approach to the TV-viewer profile adaptation problem
Siamese infrared and visible light fusion network for RGB-T tracking
Rethinking learning difficulty and uncertainty of samples with a target perturbation-aware bias-variance decomposition
A hybrid grey wolf optimizer for solving the product knapsack problem
ARTEMIS: animal recognition through enhanced multimodal integration system
Towards wide-scale continuous gesture recognition model for in-depth and grayscale input videos
Detecting complex copy-move forgery using KeyPoint-Siamese Capsule Network against adversarial attacks
From static to dynamic word representations: a survey
Probabilistic DEAR models
Analysis and optimization of an 8 bar mechanism
Fuzzy decision function estimation using fuzzified particle swarm optimization
Explainable evaluation framework for facial expression recognition in web-based learning environments
Feature extraction by PCA and diagnosis of breast tumors using SVM with DE-based parameter tuning
Feature and instance reduction for PNN classifiers based on fuzzy rough sets
A safe acceleration method for multi-task twin support vector machine
An Intelligent prediction model for UCG state based on dual-source LSTM
Review: machine learning techniques applied to cybersecurity
Interval-valued test cost sensitive attribute reduction related to risk attitude
Active partial label learning based on adaptive sample selection
Multi-view collaborative learning for graph attribute imputation
OUBoost: boosting based over and under sampling technique for handling imbalanced data
A novel method for Mandarin speech synthesis by inserting prosodic structure prediction into Tacotron2
Training error and sensitivity-based ensemble feature selection
Multi-indicator based multi-objective evolutionary algorithm with application to neural architecture search
Multi-criteria group decision-making methods with dynamic probabilistic linguistic information characterized by multiple consecutive time points
Enhancing visual contextual semantic information for image captioning
Scalability and performance evaluation of federated learning frameworks: a comparative analysis
Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization
A robust self-learning PID control system design for nonlinear systems using a particle swarm optimization algorithm
Linear-combined rough vague sets and their three-way decision modeling and uncertainty measurement optimization
Prediction of remaining useful life of rolling element bearings based on LSTM and exponential model
Smart parking systems technologies, tools, and challenges for implementing in a smart city environment: a survey based on IoT & ML perspective
Aspect category sentiment classification via document-level GAN and POS information
A novel density peaks clustering algorithm based on K nearest neighbors with adaptive merging strategy
Sensitive time series prediction using extreme learning machine
FMW-Net: a first-order meta-weight-net approach for sample weighting
Exponential stability for the neutral-type singular neural network with time-varying delays
Siamese global location-aware network for visual object tracking
A lightweight CNN malware classification method for software detection
See through the noise: revolutionizing medical image diagnosis with quadratic convolutional neural network (Q-CNN)
Causative label flip attack detection with data complexity measures
PFDP: privacy-preserving federated distillation method for pretrained language models
Illumination normalization using fuzzy filter in DCT domain for face recognition
Building heterogeneous ensembles by pooling homogeneous ensembles
Combining core points and cluster-level semantic similarity for self-supervised clustering
DSSE-net: dual stream skip edge-enhanced network with forgery loss for image forgery localization
Partial label metric learning by collapsing classes
Multiple instance learning for sequence data with across bag dependencies
Multiple faults diagnosis in motion system based on SVM
Extended entropy method for risk inspection and effect analysis in optical cable industry
Multi-scaled concept lattices based on neighborhood systems
Adaptive sliding-mode observer for second order discrete-time MIMO nonlinear systems based on recurrent neural-networks
Video person re-identification using key frame screening with index and feature reorganization based on inter-frame relation
Integration search strategies in tree seed algorithm for high dimensional function optimization
Uncertainty measurement for a fuzzy set-valued information system
GRPCA21 for recovering a corrupted low-rank matrix
A working likelihood approach to support vector regression with a data-driven insensitivity parameter
Anchor-based Domain Adaptive Hashing for unsupervised image retrieval
Fast Shrinking parents-children learning for Markov blanket-based feature selection
Backdoor learning curves: explaining backdoor poisoning beyond influence functions
An experimental study of information content measurement of gene ontology terms
A novel self-attention deep subspace clustering
Ordinal unsupervised multi-target domain adaptation with implicit and explicit knowledge exploitation
A hybrid feature selection approach based on improved PSO and filter approaches for image steganalysis
A line symmetry based genetic clustering technique: encoding lines in chromosomes
MFGAN: towards a generic multi-kernel filter based adversarial generator for image restoration
A memetic approach for training set selection in imbalanced data sets
ClKI: closed-loop and knowledge iterative via self-distillation for image sentiment analysis
Conflict evidence management in fault diagnosis
Ultra-high-definition underwater image enhancement via dual-domain interactive transformer network
Modeling the dynamics of Covid-19 in Japan: employing data-driven deep learning approach
Cooperative representation of multiscale patch face recognition based on fuzzy decision
Multi-label space reshape for semantic-rich label-specific features learning
The effect of varying levels of class distribution on bagging for different algorithms: An empirical study
Principal component analysis using QR decomposition
Projection neural networks for sample-regular product optimization model
Graph augmentation against structural poisoning attacks via structure and attribute reconciliation
Fuzzy parameterized fuzzy soft sets and decision making
Optimal Deep Learning based Convolution Neural Network for digital forensics Face Sketch Synthesis in internet of things (IoT)
Correction to: An end-to-end differential network learning method for semantic segmentation
Combined constraint-based with metric-based in semi-supervised clustering ensemble
Relabeling and policy distillation of hierarchical reinforcement learning
Frequency coordination and economic dispatch of microgrids using fuzzy neural network control
ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation
Predicting run time of classification algorithms using meta-learning
An ELM-based model with sparse-weighting strategy for sequential data imbalance problem
Performance evaluation and comparison of PCA Based human face recognition methods for distorted images
Correction to: An advanced reinforcement learning control method for quadruped robots in typical urban terrains
Parallel quantum-behaved particle swarm optimization
KAT: knowledge-aware attentive recommendation model integrating two-terminal neighbor features
A PSO-based deep learning approach to classifying patients from emergency departments
A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks
A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems
Cyclic sequential process of pairwise comparisons with application to multi-criteria decision making
Data augmentation for aspect-based sentiment analysis
Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification
Unsupervised attribute reduction: improving effectiveness and efficiency
Non-fragile control protocol for finite-time consensus of stochastic multi-agent systems with input time-varying delay
A novel forecasting model based on the raised ordered pair fuzzy time series and fuzzy implication
Semi-supervised fuzzy-rough extreme learning machine for classification of cancer from microRNA
Robust stability and \(H_{\infty}\) filter design for neutral stochastic neural networks with parameter uncertainties and time-varying delay
Characteristic matrices of compound operations of coverings and their relationships with rough sets
Modulation recognition based on adaptive denoising residual neural network
A new self-augment CNN for 3D point cloud classification and segmentation
Blockchain-Augmented FL IDS for Non-IID Edge-IoT Data Using Adaptive Trimmed Mean Aggregation
Optimization of Synchronization Frequencies and Offloading Strategies in MEC-Assisted Digital Twin Networks
The DDPG-Based Joint Optimization of Task Offloading and Content Caching in UAV-Assisted IoV
EVPIR: Efficient and Verifiable Privacy-Preserving Image Retrieval in Cloud-Assisted Internet of Things
Blockchain Heterogeneous Network Authentication Scheme Based on Batch Verification Group Signature
Nonorthogonal Multiple Access for Wireless-Powered IoT Networks
Dual-View Noise Correction for Crowdsourcing
ALC 2 : When Active Learning Meets Compressive Crowdsensing for Urban Air Pollution Monitoring
Crop Disease Source Location and Monitoring System Based on Diffractive Light Identification Airborne Spore Sensor Network
QoS-Aware Personalized Privacy With Multipath TCP for Industrial IoT: Analysis and Design
BMADS: BLE Mesh Asynchronous Dynamic Scanning
FedHKD-SA: Bilateral Optimization Method for Combating Forgetting in Personalized Federated Learning
Trustworthy Blockchain-Assisted Federated Learning: Decentralized Reputation Management and Performance Optimization
Robust Relay Selection for Large-Scale Energy-Harvesting IoT Networks
A Machine-Learning-Based Data-Centric Misbehavior Detection Model for Internet of Vehicles
Covert and Secure Communication in Untrusted UAV-Assisted Wireless Systems
A Software Architecture Enabling the Web of Things
A Novel Forward-Link Multiplexed Scheme in Satellite-Based Internet of Things
RF-Sauron: Enabling Contact-Free Interaction on Eyeglass Using Conformal RFID Tag
Communicating Power Supplies: Bringing the Internet to the Ubiquitous Energy Gateways of Electronic Devices
Byzantine-Robust and Privacy-Preserving Federated Learning With Irregular Participants
FEDORA: Federated Ensemble Reinforcement Learning for DAG-Based Task Offloading and Resource Allocation in MEC
Cell-Free Optimization Method for Downlink Integrated Satellite-Ground Networks
Wireless Wearable Sensor Paired With Machine Learning for the Quantification of Tissue Oxygenation
Study on the Prediction Model of Litchi Downy Blight Damage Based on IoT and Hyperspectral Data Fusion
Efficient and Reliable Aerial Communication With Wireless Sensors
Optimizing Energy Consumption and Provisioning for Wireless Charging and Data Collection in Large-Scale WRSNs With Mobile Elements
A Privacy-Enhanced Method for Privacy-Preserving and Verifiable Federated Learning
An Adaptive Neurofeedback Method for Attention Regulation Based on the Internet of Things
Multiobjective Optimization and Decision-Making of Low-Carbon Environmental Parameters in AIoT-Enabled Controlled Environment Agriculture
Large-Scale Multiobjective Edge Server Offloading Optimization for Task-Intensive Vehicle-Road Cooperation
Energy Balanced Dispatch of Mobile Edge Nodes for Confident Information Coverage Hole Repairing in IoT
Probabilistic Semantic Filtering and Uncertainty-Aware Compression for Energy-Efficient RF Communication
High-Throughput and Energy-Efficient FPGA-Based Accelerator for All Adder Neural Networks
Opportunistic Hybrid Routing Protocol for Acoustic-Radio Cooperative Networks
Machine-Learning-Enhanced Blockchain Consensus With Transaction Prioritization for Smart Cities
Joint Beamforming Optimization for UAV and an Active RIS-Assisted Hybrid DFRC Systems
Privacy-Preserving Verifiable Graph Intersection Scheme With Cryptographic Accumulators in Social Networks
GuardGrid: A Queriable and Privacy-Preserving Aggregation Scheme for Smart Grid via Function Encryption
Context Design and Tracking for IoT-Based Energy Management in Smart Cities
IEEE 802.11k-Based Lightweight, Distributed, and Cooperative Access Point Coverage Estimation Scheme in IoT Networks
Smart Diagnosis: Deep Learning Boosted Driver Inattention Detection and Abnormal Driving Prediction
Digital-Twin-Enabled Federated Learning and CNN-Based Channel Estimation for Urban Vehicular Channels
Cascade Learning Embedded Vision Inspection of Rail Fastener by Using a Fault Detection IoT Vehicle
BiCrowd: Online Biobjective Incentive Mechanism for Mobile Crowdsensing
ActiFormer: Sign-Aware Linear Attention for Sensor-Based Human Activity Recognition
Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities
Indoor NLOS-VLP System Based on Image Sensor and Pixel Coordinate Fingerprinting
An Iterative Optimization and Learning-Based IoT System for Energy Management of Connected Buildings
Deep Q-Network-Based Open-Set Intrusion Detection Solution for Industrial Internet of Things
A Learning-Based Sequence-to-Sequence WiFi Fingerprinting Framework for Accurate Pedestrian Indoor Localization Using Unconstrained RSSI
FLOW: A Robust Federated Learning Framework to Defend Against Model Poisoning Attacks in IoT
CoBC: A Blockchain-Based Collaborative Inference System for Internet of Things
Edge-Intelligence-Based Seismic Event Detection Using a Hardware-Efficient Neural Network With Field-Programmable Gate Array
FtlSPG: A Federated Transfer Learning Framework for Personalized Safety Protective Gear Detection in Electric Power Industry
A Beacon and GTS Scheduling Scheme for IEEE 802.15.4 DSME Networks
Special Issue on Artificial-Intelligence-Powered Edge Computing for Internet of Things
Transmission Optimization for High-Speed Railway Tunnel Scenarios in Space-Air-Ground Integrated Networks
Confidence-Based Similarity-Aware Personalized Federated Learning for Autonomous IoT
QuAsyncFL: Asynchronous Federated Learning With Quantization for Cloud-Edge-Terminal Collaboration Enabled AIoT
Sparse Common Feature Representation for Undersampled Face Recognition
Adversarial Learning Networks for FinTech Applications Using Heterogeneous Data Sources
Dynamic Trust Relationships Aware Data Privacy Protection in Mobile Crowd-Sensing
Weighted Least-Squares Bluetooth Localization Method Based on Data Preprocessing
Efficient Spatiotemporal-Structural Masking for Dynamic Human Activity Recognition With Optimized Computation
Potential Application of Using Smartphone Sensor for Estimating Air Temperature: Experimental Study
To Hide Private Position Information in Localization for Internet of Underwater Things
Edge Intelligent Joint Optimization for Lifetime and Latency in Large-Scale Cyber-Physical Systems
Joint Resource Allocation in Multi-RIS and Massive MIMO-Aided Cell-Free IoT Networks
DRL-Based Federated Learning for Efficient Vehicular Caching Management
Resilience Assessment of Power-Thermal Systems Considering Coordinated Cyber and Physical Attacks
Opponent-Awareness-Based Anti-Intelligent Jamming Channel Access Scheme: A Deep Reinforcement Learning Perspective
VLC-Assisted Safety Message Dissemination in Roadside Infrastructure-Less IoV Systems: Modeling and Analysis
Provably Secure Authenticated Key-Management Mechanism for e-Healthcare Environment
Multimodal Sensing and Lighting Estimation for PoE-Enabled Intelligent and Energy-Efficient Lighting Networks
Double Robust Federated Digital Twin Modeling in Smart Grid
URLLC Facilitated by Mobile UAV Relay and RIS: A Joint Design of Passive Beamforming, Blocklength, and UAV Positioning
Digitally Enhanced Home to the Village: AIoMT-Enabled Multisource Data Fusion and Power-Efficient Sustainable Computing
Dynamic-Line-Rating-Based Robust Corrective Dispatch Against Load Redistribution Attacks With Unknown Objectives
IRS-Assisted Cognitive UAV Networks: Joint Sensing Duration, Passive Beamforming, and 3-D Location Optimization
Joint IRS Selection and Passive Beamforming in Multiple IRS-UAV-Enhanced Anti-Jamming D2D Communication Networks
Dynamic Parameter Allocation With Reinforcement Learning for LoRaWAN
Massive Wireless Access Enhancement Based on Self-Similarity of Fractal Channels in Multiscale Space
RSS: An Energy-Efficient Approach for Securing IoT Service Protocols Against the DoS Attack
Multi-Scale Traffic Aware Cybersecurity Situational Awareness Online Model for Intelligent Power Substation Communication Network
A Close Look at the Communication Efficiency and the Energy Footprints of Robust Federated Learning in Industrial IoT
Multivideo Stitching Method Based on Temporal Compressive Sensing
Edge-Centric Distributed Discovery and Access in the Internet of Things
Quasi-Distributed Fiber-Optic Acoustic Sensing With MIMO Technology