yusuke1997/dblp-id-title huggingface dataset:
Interval-valued fuzzy reasoning algorithms based on Schweizer-Sklar t-norms and its application
Recognizing signal trends on-line by a fuzzy-logic-based methodology optimized via genetic algorithms
Residual cosine similar attention and bidirectional convolution in dual-branch network for skin lesion image classification
Corrigendum to "Unsupervised Simple Siamese Representation Learning for Blind Super-Resolution" [Eng. Appl. Artif. Intell. 114 (2022) 105092]
Robust Bi-temporal cross-scene land cover map updating via curriculum-guided self-training and adversarial learning
Physics-driven prior learning-based deep unrolling for underwater image enhancement
A conceptual metaheuristic-based framework for improving runoff time series simulation in glacierized catchments
Double information preserving canonical correlation analysis
MAgNET: A graph U-Net architecture for mesh-based simulations
A CLSTM-TMN for marketing intention detection
A novel self-adaptive fractional multivariable grey model and its application in forecasting energy production and conversion of China
Colorectal Histology Tumor Detection Using Ensemble Deep Neural Network
An angle-enhanced deep learning framework for thermal defect diagnosis in overhead transmission line composite insulators
Ensemble learning framework for detecting electricity theft in smart grids using weighted average method
Do we need early exit networks in human activity recognition?
Explainable time series features for hard disk drive failure prediction
Mining for similarities in time series data using wavelet-based feature vectors and neural networks
Soft rumor control in social networks: Modeling and analysis
Poor and rich optimization algorithm: A new human-based and multi populations algorithm
Supervised learning based method for condition monitoring of overhead line insulators using leakage current measurement
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Active learning of optical path classification
Joint domain-adaptive transformer model for bearing remaining useful life prediction across different domains
Scalable and effective artificial intelligence for multivariate radar environment
Knowledge distillation with insufficient training data for regression
Implicit embedding based multi modal attention network for Cricket video summarization
Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model
A reinforcement learning algorithm with high-dimensional space processing for decision support in government bailout strategies during interbank risk contagion
Decision fusion of horizontal and vertical trajectories for recognition of online Farsi subwords
A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices
Boosting fish counting in sonar images with global attention and point supervision
Artificial intelligence-driven protocol for secure and standardized maneuver control in electrical substations
Comprehensive-Detail Synergy with Multi-Level Dynamic Interaction for Enhanced Salient Object Detection
RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling
Self-learning guided residual shrinkage network for intelligent fault diagnosis of planetary gearbox
Developing cooperation mechanism for multi-agent systems with Petri nets
Automated test case generation for path coverage by using grey prediction evolution algorithm with improved scatter search strategy
Global polynomial synchronization of proportional delay memristive neural networks with uncertain parameters and its application to image encryption
Ship shape reconstruction for three-dimensional situational awareness of smart ships based on neural radiation field
Solving distributed assembly blocking flowshop with order acceptance by knowledge-driven multiobjective algorithm
Robust augmentation-based contrastive clustering with negative data mining
Artificial immune system for multi-objective design optimization of composite structures
Inference in distributed data clustering
Argumentation-based framework for industrial wastewater discharges management
A lightweight weed detection model with global contextual joint features
Recognizing emotions in text using ensemble of classifiers
Feature matching based on Gaussian kernel convolution and minimum relative motion
A streaming variable neural speech codec
A new approach to dominant motion pattern recognition at the macroscopic crowd level
Smart artificial pancreas: Sensor-based glucose and insulin control by deep stochastic policy learning
ACAN: A plug-and-play Adaptive Center-Aligned Network for unsupervised domain adaptation
Manufacturing quality control by means of a Fuzzy ART network trained on natural process data
A novel reinforcement learning-based approach for optimal control: An application to multi-tank water systems
Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations
Research on reflective clothing recognition algorithm based on combining omni-dimensional dynamic convolution and partial convolution
A hybrid deep reinforcement learning approach for target allocation and routing of multiple nonholonomic vehicles
Solving complex problems with a bioinspired model
Attention-driven multi-feature fusion for hyperspectral image classification via multi-criteria optimization and multi-view convolutional neural networks
Efficient hardware design of spiking neurons and unsupervised learning module in large scale pattern classification network
Fuzzy adaptive terminal sliding mode control based on recurrent neural network compensation for a maglev system
Mining top high utility association rules using Binary Differential Evolution
Backtracking search optimization algorithm-based least square support vector machine and its applications
Enhancing interpretability and generalizability in extended isolation forests
Location choice in solar power plants by applying meteorological data to multi-criteria decision-making method
Audio analysis speeding detection techniques based on metaheuristic-optimized machine learning models
A systematic review of end-to-end framework for contactless fingerprint recognition: Techniques, challenges, and future directions
Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images
Improved saddle point prediction in stochastic two-player zero-sum games with a deep learning approach
EFASPP U-Net for semantic segmentation of night traffic scenes using fusion of visible and thermal images
Genetically evolved radial basis function network based prediction of drill flank wear
Trust based latency aware influence maximization in social networks
Financing a two-stage sustainable supply chain using green bonds: Preventing environmental pollution and waste generation
A novel software defect prediction approach via weighted classification based on association rule mining
A novel prior knowledge-based and texture-enhanced network for few-shot industrial defect segmentation
Solving stochastic differential equations through genetic programming and automatic differentiation
Transfer learning framework integrating attention mechanism and domain adaptation for Low Earth Orbit satellite network traffic prediction
Multi-level learning counting via pyramid vision transformer and CNN
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
Motor imagery electroencephalography channel selection based on deep learning: A shallow convolutional neural network
Hybrid long short-term memory and bidirectional multichannel network cascaded with split convolution for short-term load forecasting
Underwater engineering image enhancement via turbidity prior and multi-scale adaptive
Underwater image enhancement via multi-scale fusion and adaptive color-gamma correction in low-light conditions
Reconstruction and prediction of the layout of indoor environments from two-dimensional metric maps
A grey prediction model based on Von Bertalanffy equation and its application in energy prediction
Extended natural neighborhood for SMOTE and its variants in imbalanced classification
Optimization of solar farm design for energy efficiency in university campuses using machine learning: A case study
Inversion of tunnel fires using limited monitored temperature data based on transfer learning approach and full-scale scenario applications
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds
Image super-resolution reconstruction using Swin Transformer with efficient channel attention networks
Automatic defect detection and three-dimensional reconstruction from pulsed thermography images based on a bidirectional long-short term memory network
Predicting the fiber orientation in glass fiber reinforced polymers using the moment of inertia and convolutional neural networks
Prediction of ground surface settlement by shield tunneling using XGBoost and Bayesian Optimization
Depth-aware gaze-following via auxiliary networks for robotics
Automated research methodology classification using machine learning
Asymmetric multimodal guidance fusion network for realtime visible and thermal semantic segmentation
Robust and false positive free watermarking in IWT domain using SVD and ABC
Diverse policy generation for the flexible job-shop scheduling problem via deep reinforcement learning with a novel graph representation
Intelligent detection of loose fasteners in railway tracks using distributed acoustic sensing and machine learning
Modeling data uncertainty on electric load forecasting based on Type-2 fuzzy logic set theory
Event-based video interpolation via complementary motion information
Memristive hyperchaotic system-based complex-valued artificial neural synchronization for secured communication in Industrial Internet of Things
Inference and analysis on the evidential reasoning rule with time-lagged dependencies
Maximum relevant minimum redundant multi-label feature selection using ant colony optimization
A risk evaluation method to prioritize failure modes based on failure data and a combination of fuzzy sets theory and grey theory
Hesitant fuzzy time series forecasting model of higher order based on one and two-factor aggregate logical relationship
Reinforcement learning-driven proportional-integral-derivative controller tuning for mass-spring systems: Stability, performance, and hyperparameter analysis
Knowledge Augmented Expert finding framework via knowledge graph embedding for Community Question Answering
Improved Takagi-Sugeno fuzzy model-based control of flexible joint robot via Hybrid-Taguchi genetic algorithm
Corrigendum to "A novel multi-modal neural network approach for dynamic and generic sports video summarization" [Eng. Appl. Artif. Intell. 126 Part B (2023) 106964]
A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network
Non-uniform allocation of information granularity to improve consistency and consensus in multi-criteria group decision-making: Application to building refurbishment
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
A goal-conditioned offline reinforcement learning algorithm and its application to quad-rotors
AI-driven behavior biometrics framework for robust human activity recognition in surveillance systems
A multi-view new energy vehicle form generation design method combining Kansei imagery and deep learning
A new active contour model driven by pre-fitting bias field estimation and clustering technique for image segmentation
Unveiling the hidden patterns: A novel semantic deep learning approach to fake news detection on social media
Graph Neural Networks Based Analog Circuit Link Prediction
Unknown fault incremental learning based on shapelet prototypical network for streaming industrial signals
Varied granularity encoding based evolutionary algorithm for multi-objective intensity-modulated radiation therapy optimization
Machine learning-based automatic focusing for high magnification systems
Improving attention network to realize joint extraction for the construction of equipment knowledge graph
Updating incomplete framework of target recognition database based on fuzzy gap statistic
Optimizing electrode positions on forearm to increase SNR and myoelectric pattern recognition performance
Selective disassembly sequence planning under uncertainty using trapezoidal fuzzy numbers: A novel hybrid metaheuristic algorithm
Detecting and measuring rings in banknote images
A fine-grained grading network for natural products based on dynamic association inference
Tensor product-fault diagnosis-Transformer based wind turbine blade fault prediction method
Restart mechanism-based multilevel gravitational search algorithm for global optimization and image segmentation
Experimental validation of a semi-active fuzzy control strategy based on deep reinforcement learning for a piezoelectric smart isolation system
Agent-based modeling and simulation to assess flood preparedness and recovery of manufacturing small and medium-sized enterprises
Predication based immune network for multimodal function optimization
Three-objective constrained evolutionary instance selection for classification: Wrapper and filter approaches
S2-AMNet: A lightweight Spatial-Spectral Adaptive Modulation Network for surface defect detection
A new approach for failure mode and effect analysis based on Fermatean fuzzy Z-number weighted Muirhead mean operator
Forecasting exchange rates with the iMLP: New empirical insight on one multi-layer perceptron for interval time series (ITS)
A unified active learning framework for annotating graph data for regression tasks
Counting trees with point-wise supervised segmentation network
Zero-shot learning augmented slow feature analysis for semantic-aware industrial process fault detection
Swin transformer with multiscale 3D atrous convolution for hyperspectral image classification
Simplifying artificial neural network models of river basin behaviour by an automated procedure for input variable selection
Dual prototypes contrastive learning based semi-supervised segmentation method for intelligent medical applications
Adaptation of the idea of concept drift to some behavioral biometrics: Preliminary studies
Autonomous control of soft robots using safe reinforcement learning and covariance matrix adaptation
FCLFusion: A frequency-aware and collaborative learning for infrared and visible image fusion
Style prompt tuning for bridging visual gaps in autonomous driving
More consistent learnt relationships in regression neural networks using Fit to Median error measure
Iterative power and subcarrier allocation in rate-constrained orthogonal multicarrier downlink systems based on hybrid harmony search heuristics
Condition-based maintenance with reinforcement learning for refrigeration systems with selected monitored features
Weighted multi-granularity fuzzy probabilistic rough set based on semi-overlapping function and its application in three-way decision
A new similarity measurement method for time series based on image fusion of recurrence plots and wavelet scalogram
Wind turbine pitch reinforcement learning control improved by PID regulator and learning observer
Wavelet integrated attention network with multi-resolution frequency learning for mixed-type wafer defect recognition
Cross-scale hybrid contrast network for generalized zero-shot fault diagnosis of rolling bearings
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier
Adaptive reinforcement learning interval type II fuzzy fractional nonlinear observer and controller for a fuzzy model of a wind turbine
Efficient gesture recognition for the assistance of visually impaired people using multi-head neural networks
Two-level principal-agent model for schedule risk control of IT outsourcing project based on genetic algorithm
Sensor fault-tolerant control for a doubly fed induction generator in a smart grid
Low-cost model selection for SVMs using local features
Advances in artificial intelligence for detecting algorithmically generated domains: Current trends and future prospects
Thermal analysis of PCM magnesium chloride hexahydrate using various machine learning and deep learning models
A context-adaptive and dual-dimensional collaboration method for infrared-visible image registration and fusion
Interpreting frequency evolution in ventricular fibrillation using embeddings and deep learning methods
A hybrid attention-guided ConvNeXt-GRU network for action recognition
Unification and comparison of zeroing neural networks based on nonlinear complementary problem functions applied to serial and parallel robots
Customer sentiment analysis with more sensibility
Some q-rung orthopair fuzzy Hamacher aggregation operators and their application to multiple attribute group decision making with modified EDAS method
An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm
Adversarial robust decision-making under uncertainty learning and dynamic ensemble selection
STOA: A bio-inspired based optimization algorithm for industrial engineering problems
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
SEA-net: Sequence attention network for seismic event detection and phase arrival picking
Energy-performance aware virtual machines migration in cloud network by using prediction and fuzzy approaches
A hybrid Fermatean Fuzzy approach based on a novel score function for solid waste management
Distributed data-driven iterative learning consensus tracking for unknown multi-agent systems using evolutionary neural networks
Energy forecasting model based on CNN-LSTM-AE for many time series with unequal lengths
Stability and chaos analysis of a novel swarm dynamics with applications to multi-agent systems
A large-scale MAGDM model based on SKNN and weighted clustering under incomplete information
Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data
Process situation assessment: From a fuzzy partition to a finite state machine
A neural network model for solving convex quadratic programming problems with some applications
An agent-based approach for energy-efficient sensor networks in logistics
Internet of things based parking slot detection and occupancy classification for smart city traffic management
Cross multi-scale locally encoded gradient patterns for off-line text-independent writer identification
Global-and-local aware network for low-light image enhancement
Decentralized federated learning for coordinated dispatch of integrated energy and district heating systems: A fog-based multi-agent approach with homomorphic encryption
Detailed fault detection of industrial sensor based on semantic segmentation models
Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape
Performance diagnostics of gas turbines operating under transient conditions based on dynamic engine model and artificial neural networks
Vehicle repacking strategy and enhanced asynchronous advantage actor-critic for multi-objective task scheduling and orchestration in cloud-edge vehicular networks
A novel machine learning technique for computer-aided diagnosis
Multi-task lane-free driving strategy for Connected and Automated Vehicles: A multi-agent deep reinforcement learning approach
A bibliometric analysis and cutting-edge overview on fuzzy techniques in Big Data
Developing fully convolutional networks with permittivity-based class mapping for tunnel lining defects detection in ground penetration radar scan data
Comprehensive assessment of pore-scale segmentation techniques for image-based multiphase flow characterization in porous media
A regularized point-to-manifold distance metric for multi-view multi-manifold learning
Global Filter-Wrapper method based on class-dependent correlation for text classification
Deep cross-modal hashing with multi-task latent space learning
Contrastive active adaptive partial label learning under class distribution mismatch
An evolutionary approach with surrogate models and network science concepts to design optical networks
Data collection in deep reinforcement learning-enhanced reconfigurable intelligent surface-assisted wireless networks
GPU-based parallel optimization of immune convolutional neural network and embedded system
Multiclass imbalanced and concept drift network traffic classification framework based on online active learning
Stochastic parallel extreme artificial hydrocarbon networks: An implementation for fast and robust supervised machine learning in high-dimensional data
Solution of the family traveling salesman problem using a hyper-heuristic approach
Super-resolution reconstruction of WorldView-3 multispectral satellite images based on generative adversarial networks
Artificial immune systems for assembly sequence planning exploration
Spatio-temporal traffic accidents detection via graph based generative adversarial network
Interpretable detector for cervical cytology using self-attention and cell origin group guidance
Prioritization of crowdsourcing models for last-mile delivery using fuzzy Sugeno-Weber framework
A real-time spatiotemporal error compensation framework for face gear grinding
Learning to disentangle and fuse for fine-grained multi-modality ship image retrieval
A hybrid approach based on magnitude-based fuzzy analytic hierarchy process for estimating sustainable urban transport solutions
A novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems
An adaptive multi-agent system for cost collaborative management in supply chains
An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals
Probability transformation of mass function: A weighted network method based on the ordered visibility graph
A block padding approach in multidimensional dependency missing data
Environment adaptive deep reinforcement learning for intelligent fault diagnosis
A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean-variance customer portfolio: The case of bank marketing campaigns
A new shortest path algorithm to solve the resource-constrained project scheduling problem with routing from a flow solution
Lattice-based sensor data acquisition strategy to solve sensor position drift in human gait phase recognition system with a single inertia measurement unit
Local machine learning model-based multi-objective optimization for managing system interdependencies in production: A case study from the ironmaking industry
Interpretable hybrid learning for fracturing optimization in deep coalbed methane under data scarcity
Artificial intelligence for the metaverse: A survey
A Semi-Supervised Network Framework for low-light image enhancement
An effective convolutional and transformer cooperation network for underwater acoustic target recognition
Learn-to-supervise: Causal reinforcement learning for high-level control in industrial processes
Fault diagnosis using spatial and temporal information with application to railway track circuits
PRONTO: An ontology for comprehensive and consistent representation of product information
Extended multi-kernel relevance vector machine optimized Kriging interpolation for coal seam thickness prediction in coal-bearing strata
A survey on the application of process discovery techniques to smart spaces data
Simulation-based multimodal optimization of decoy system design using an archived noise-tolerant genetic algorithm
Database retrieval for similar images using ICA and PCA bases
A global manifold margin learning method for data feature extraction and classification