yusuke1997/dblp-id-title huggingface dataset:
Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey
Cross-domain Mutual Information Adversarial Maximization
TSEMTA: A tripartite shared evolutionary multi-task algorithm for optimizing many-task vehicle routing problems
Image skin segmentation based on multi-agent learning Bayesian and neural network
Fuzzy wavelet neural adaptive finite-time self-triggered fault-tolerant control for a quadrotor unmanned aerial vehicle with scheduled performance
Mine hazardous obstacle segmentation for automated bulldozer with segment anything model
Predictive resilience assessment featuring diffusion reconstruction for road networks under rainfall disturbances
Development of machine learning models for the prediction of binary diffusion coefficients of gases
Seam tracking system based on laser vision and CGAN for robotic multi-layer and multi-pass MAG welding
A hybrid multi-step sensitivity-driven evolutionary polynomial regression enables robust model structure selection
Dynamic graph neural network with historic-sequential information representation
Enhancing underwater image via adaptive color and contrast enhancement, and denoising
A deep learning-based algorithm for fast identification of multiple defects in tunnels
A clustering-based sales forecasting scheme by using extreme learning machine and ensembling linkage methods with applications to computer server
Tracking control design of interval type-2 polynomial-fuzzy-model-based systems with time-varying delay
A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems
Dynamic multi-prototype guided domain incremental learning for Electroencephalogram-based disease classification
Generation of human computational models with knowledge engineering
A comprehensive review of non-Latin natural scene text detection and recognition techniques
Parameter estimation of fuzzy controller and its application to inverted pendulum
Max-Min Pooling and Squeeze Excitation Lightweight Bidirectional Mamba for image classification
Literature review regarding Ant Colony Optimization applied to scheduling problems: Guidelines for implementation and directions for future research
Measurement and diagnostic system for detecting and classifying faults in the rotary hay tedder using multilayer perceptron neural networks
Guided sampling-based evolutionary deep neural network for intelligent fault diagnosis
Machine learning for the prediction of problems in steel tube bending process
Hourly temperature forecasting using abductive networks
Steady-state performance constraints for dynamical models based on RBF networks
Learning discriminative context for salient object detection
Learning multi-color curve for image harmonization
Metamodeling elastic wave propagation using a mixed factorized Fourier encoder-decoder for online laser-ultrasound testing in additive manufacturing
Applying max-sum to teams of mobile sensing agents
A novel hybrid strategy based on Swarm and Heterogeneous Federated Learning using model credibility awareness for activity recognition in cross-silo multistorey building
Inferring causal directions from uncertain data
Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble
A database of dentition images of Indian breed cattle and estimation of cattle's age using deep learning algorithms
Dual-branch framework: AUV-based target recognition method for marine survey
Deep learning and ensemble deep learning for circRNA-RBP interaction prediction in the last decade: A review
Traffic management approaches using machine learning and deep learning techniques: A survey
Solving a new robust reverse job shop scheduling problem by meta-heuristic algorithms
Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme
A neural network approach on forecasting the engine emission using biodiesel fuel from fish oil based on injection pressure and engine operating parameters
Collaborative energy-saving path planning of unmanned surface vehicle cluster based on multi-head attention mechanism and multi-agent deep reinforcement learning
Distributed decision support system for airport ground handling management using WSN and MAS
Robustness of visual perception system in progressive challenging weather scenarios
Symbolic planning and control using game theory and grammatical inference
When guided diffusion model meets zero-shot image super-resolution
Gate recurrent unit neural network based high-precision feedforward control for piezoelectric nanopositioning stage
A better way of extracting dominant colors using salient objects with semantic segmentation
An improved DeepLab version three plus algorithm for segmenting heartwood and sapwood on wooden flooring surface
Prognostic modeling of polydisperse SiO2/Aqueous glycerol nanofluids' thermophysical profile using an explainable artificial intelligence (XAI) approach
Combining finite learning automata with GSAT for the satisfiability problem
Time-Invariant Dynamic Systems identification based on the qualitative features of the response
Data engineering for predictive machine learning of stormwater infrastructure conditions
Hybrid metaheuristic multi-layer reinforcement learning approach for two-level energy management strategy framework of multi-microgrid systems
TOEformer: Temporal order enhanced Transformer for time series forecasting
Corrigendum to "GraphRec-based Korean expert recommendation using author contribution index and the paper abstracts in marine" [Eng. Appl. Artif. Intellig. 133 (2024) 108219]
Semantic segmentation-based system for fall detection and post-fall posture classification
Can large language models understand depth in monocular images without prior vision knowledge?
On semi-automated extraction of causal networks from raw text
A real-time prediction model for instantaneous dam-break flood evolution of concrete gravity dams based on attention mechanism and spatiotemporal multiple features
RFIA-Net: Rich CNN-transformer network based on asymmetric fusion feature aggregation to classify stage I multimodality oesophageal cancer images
Intelligent predictive networks of swimming of microorganism for tangent hyperbolic fluid flow with heat and mass transfer and Thompson and Troian slip conditions using Levenberg-Marquardt algorithm
Integrated knowledge management model and system for construction projects
Screening of retired batteries with gramian angular difference fields and ConvNeXt
Stagnation Improved Adaptive Differential Evolution for photovoltaic model parameter identification
Semi-supervised nonnegative matrix factorization with label propagation and constraint propagation
A meta-analysis of industry 4.0 design principles applied in the health sector
Integrated dynamic multi-threshold pattern recognition with graph attention long short-term neural memory network for water distribution network losses prediction: An automated expert system
A novel grey prediction model with four-parameter and its application to forecast natural gas production in China
On incomplete matrix information completion methods and opinion evolution: Matrix factorization towards adjacency preferences
Community detection in social networks with node attributes based on multi-objective biogeography based optimization
Genetic programming for predicting aseismic abilities of school buildings
Forecasting stock market time series through the integration of bee colony optimizer and multivariate empirical mode decomposition with extreme gradient boosting regression
Dual-phase airway segmentation: Enhancing distal bronchial identification with anatomical prior guidance
From image processing to artificial intelligence-driven tools: A comprehensive survey on the evolution of feature extraction methods in paintings
Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism
Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification
HMKRec: Optimize multi-user representation by hypergraph motifs for knowledge-aware recommendation
Parallel voice conversion with limited training data using stochastic variational deep kernel learning
A self-decision ant colony clustering algorithm for electricity theft detection
Optimal power-split of hybrid energy storage system using Pontryagin's minimum principle and deep reinforcement learning approach for electric vehicle application
TrackSafe: A comparative study of data-driven techniques for automated railway track fault detection using image datasets
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification
Revealing digital fakery using multiresolution decomposition and higher order statistics
An enhanced distributed differential evolution algorithm for portfolio optimization problems
An improved preference-based variable neighborhood search algorithm with ar -dominance for assembly line balancing considering preventive maintenance scenarios
Tackling topic general words in topic modeling
Applied graph neural networks: Domain-driven insights from medicine to remote sensing
Estimating travel time in transport network with a combined multi-attributed graph convolutional neural network and multilayer perceptron model
An optimized instance based learning algorithm for estimation of compressive strength of concrete
Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
A new traffic flow prediction model based on cosine similarity variational mode decomposition, extreme learning machine and iterative error compensation strategy
TDIFS: Two dimensional intuitionistic fuzzy sets
A genetic algorithm for the multi-objective optimization of mixed-model assembly line based on the mental workload
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines
Special section: Dependable system modelling and analysis
Deep learning-based forecasting modeling of micro gas turbine performance projection: An experimental approach
Monitoring the growth of insect larvae using a regression convolutional neural network and knowledge transfer
Time-energy-jerk optimal trajectory planning for high-speed parallel manipulator based on quantum-behaved particle swarm optimization algorithm and quintic B-spline
Non-convex hull based anomaly detection in CPPS
Traffic parameter prediction and congestion assessment based on spatiotemporal characteristics of highway network
DeclareAligner: A leap towards efficient optimal alignments for declarative process model conformance checking
Spatiotemporal knowledge graph multi-hop reasoning based on large language models
Iterative contextual and adaptive strategies for enhanced monocular depth estimation
A design an optimized fuzzy adaptive proportional-integral-derivative controller for anti-lock braking systems
Explainable based approach for the air quality classification on the granular computing rule extraction technique
BagFormer: Better cross-modal retrieval via bag-wise interaction
A recurrent Lyapunov neural network for fast tracking of unknown Single-Input Single-Output nonlinear systems
Mining Recency-Frequency-Monetary enriched insights into resources' collaboration behavior from event data
An ontological approach for pathology assessment and diagnosis of tunnels
Lightweight ensemble learning based intrusion detection framework with explainable artificial intelligence
A new Hamy mean operator based on interval-valued bipolar Pythagorean fuzzy set for counseling and psychotherapy in women's emotional care
Rough computing - A review of abstraction, hybridization and extent of applications
Facial image deblurring network for robust illuminance adaptation and key structure restoration
A Multi-User-Multi-Scenario-Multi-Mode aware network for personalized recommender systems
Contextual and orientation correction modules enhance weakly-supervised aerial object detection in remote sensing images
Multi type mean field reinforcement learning for optimal resource allocation in heterogeneous network
A multi-objective bat algorithm with a novel competitive mechanism and its application in controller tuning
Robust multimodal multivariate ear recognition using kernel based simultaneous sparse representation
Self-adaptive classification learning hybrid JAYA and Rao-1 algorithm for large-scale numerical and engineering problems
A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock
Exploring magnetic actuation automation: Learning from noisy demonstrations via adaptive sampling policy
Enhancing large language model capabilities for rumor detection with Knowledge-Powered Prompting
Type-2 fuzzy instrumental variable algorithm for evolving neural-fuzzy modeling of nonlinear dynamic systems in noisy environment
Multi-action deep reinforcement learning-based collaborative production dynamic scheduling approach for networked multi-factory under mass customization
Fast simulation for scattering muography applications using generative adversarial neural networks
A novel dual attention-based BLSTM with hybrid features in speech emotion recognition
An explainable embedded neural system for on-board ship detection from optical satellite imagery
Application of machine learning techniques for predicting grid positions and values of geotechnical properties
Dynamic social behavior algorithm for real-parameter optimization problems and optimization of hyper beamforming of linear antenna arrays
Active learning based on computer vision and human-robot interaction for the user profiling and behavior personalization of an autonomous social robot
LGP-DETR: An end-to-end object detection model for surface defect detection in light guide plates
A lightweight self-attention metric network for bird species recognition in intelligent bird repellent equipment
Learning the dynamical response of nonlinear non-autonomous dynamical systems with deep operator neural networks
Enhanced process monitoring using machine learning-based control charts for poisson-distributed data
Hybrid bidirectional ant colony optimization (hybrid BACO): An algorithm for disassembly sequence planning
Compact-sparse prototype calibration network for few-shot continual fault diagnosis of rotating machinery
Dynamic customer behavior prediction in subscription services using causal reinforcement learning
Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques
VFT: A versatile fine-tuning scheme based on feature distribution-aware knowledge distillation for lightweight convolutional neural networks
Probabilistic forecasting of non-ferrous metal prices based on outlier treatment algorithms, quantile regression based deep learning and two-phase multi-objective optimization
How far did we get in face spoofing detection?
Basic uncertain information soft set and its application to multi-criteria group decision making
An improved reinforcement learning-based differential evolution algorithm for combined economic and emission dispatch problems
Hybrid transformer-convolution neural network architecture for emoji-aware hostile post classification with custom attention mechanisms
MBRB: Micro-belief rule Base model based on cautious conjunctive rule for interpretable fault diagnosis
A powerful meta-heuristic search algorithm for solving global optimization and real-world solar photovoltaic parameter estimation problems
AraCovTexFinder: Leveraging the transformer-based language model for Arabic COVID-19 text identification
A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting
Predicting axial capacity of driven piles in cohesive soils using intelligent computing
A distributed algorithm for fuzzy support vector machine on multi-source data-driven credit scoring
Etching process prediction based on cascade recurrent neural network
Corrigendum to "A self-decision ant colony clustering algorithm for electricity theft detection" [Eng. Appl. Artif. Intell. 133, Part E (July 2024), 108442]
Iterative under-sampling for delisting risk prediction of Chinese listed companies based on financial information
Fine-grained document-level financial event argument extraction approach
A data-driven multi-stage stochastic optimization for sustainable humanitarian supply chain using machine learning algorithms
Identifying novelties and anomalies for incremental learning in streaming time series forecasting
A pose-aware dynamic weighting model using feature integration for driver action recognition
Planning and scheduling in an e-learning environment. A constraint-programming-based approach
An embedded end-to-end voice assistant
Group decision making with hesitant fuzzy linguistic preference relations based on multiplicative DEA cross-efficiency and stochastic acceptability analysis
Power distribution system service restoration bases on a committee-based intelligent agent architecture
In-situ enhanced anchor-free deep CNN framework for a high-speed human-machine interaction
A fast intrusion detection system based on swift wrapper feature selection and speedy ensemble classifier
Multi-scale dynamic spatio-temporal graph network for anomaly detection of wind turbine main bearing under time-varying conditions
Residual-like multi-kernel block and dynamic attention for deep neural networks
A novel wasserstein autoencoder-enhanced thermo-mechanical coupled reduced-order model for high pressure turbine blades life monitoring
Automatic estimation of lactate threshold heart rate and pace in real-world running based on transfer learning
Rectified self-supervised monocular depth estimation loss for nighttime and dynamic scenes
Entropy-based investigation of blood flow in elliptical multi-stenotic artery with hybrid nanofluid in a fuzzy environment: Applications as drug carriers for brain diseases
Zero-referenced low-light image enhancement with adaptive filter network
A graph-based semantic relatedness assessment method combining wikipedia features
BBANet: Bilateral biological auditory-inspired neural network for heart sound classification
Dual replay memory reinforcement learning framework for minority attack detection
Two-stream structure-oriented neighbor enhancement network for dental model segmentation
Multi-scale patch transformer with adaptive decomposition for carbon emissions forecasting
Gaze-assisted visual grounding via knowledge distillation for referred object grasping with under-specified object referring
Adaptive adversarial pattern contrast algorithm for black-box model and domain attack
Weakly-supervised anomaly detection based on adversarial transfer learning
Image manipulation localization using multi-noise fusion and learnable compression artifacts
Multi-objective genetic algorithm optimization of a directionally sensitive radiation detection system using a surrogate transport model
Structure-aware coarse-to-fine upsampling network for arbitrary-scale super-resolution of remote sensing images
Intuitive justifications of medical semantic search results
Recent advances in immunological inspired computation
A regularized transformer with adaptive token fusion for Alzheimer's disease diagnosis in brain magnetic resonance images
Face anti-spoofing via jointly modeling local texture and constructed depth
A metro rail corrugation detection framework based on car body vibration signals and unsupervised learning
Optimal scheduling for palletizing task using robotic arm and artificial bee colony algorithm
Correcting biased value estimation in mixing value-based multi-agent reinforcement learning by multiple choice learning
Robust guaranteed neural learning-based output tracking control for uncertain nonlinear systems: An uncertainty feedback compensation method
Hybrid stacked neural network empowered by novel loss function for structural response history prediction using input excitation and roof acceleration
Dynamic characteristics modeling and optimization for hydraulic engine mounts based on deep neural network coupled with genetic algorithm
Adaptive graph attention networks with interactive learning for attributed graph clustering
Deep discriminative sparse representation learning for machinery fault diagnosis
Dilated multilevel fused network for virus classification using transmission electron microscopy images
An approach-based machine learning and automated thermal images to predict the dark-cutting incidence in cattle management of healthcare supply chain
A hybrid design of shadowed type-2 fuzzy inference systems applied in diagnosis problems
Modeling the relation between the AVR setpoint and the terminal voltage of the generator using artificial neural networks
Performance-guaranteed quadrotor control with incremental adaptive dynamic programming and disturbance compensation
Withdrawal notice to: A novel hybrid based on nature-inspired and Stochastic Fractal Search algorithms for optimizing of artificial neural network model in landslide susceptibility' [Eng. Appl. Artif. Intell. 117PA (2022) 105457]
A hybrid algorithm of ABC variant and enhanced EGS local search technique for enhanced optimization performance
Detecting critical diseases associated with higher mortality in electronic health records using a hybrid attention-based transformer
Ego-centric multiple-correlation and temporal graph neural networks based residential load forecasting
Multiple kernel learning using composite kernel functions
Research on a high-precision extraction method of industrial cuboid
Deep generative learning for exploration in large electrochemical impedance dataset
Unsupervised steganalysis based on artificial training sets
An improved framework for breast ultrasound image segmentation with multiple branches depth perception and layer compression residual module
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines
Multilayer neural network analysis of penta-hybrid nanofluid flow with entropy optimization: Application to rocket engine nozzle cooling
Exergy focused optimum solar panel tilt angle determination with improved hybrid model: The case of Turkey
Cloud theory-based simulated annealing algorithm and application
Job shop scheduling with consideration of floating breaking times under uncertainty
DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data
Semi-supervised segmentation for primary nasopharyngeal carcinoma tumors using local-region constraint and mixed feature-level consistency
Automated financial time series anomaly detection via curiosity-guided exploration and self-imitation learning
Physics-informed graph neural network for 3D spatiotemporal structural response modeling of flexible pavements
Multi-objective unit commitment with introduction of a methodology for probabilistic assessment of generating capacities availability
Adaptive graph-based feature normalization for facial expression recognition
A new chiller fault diagnosis method under the imbalanced data environment via combining an improved generative adversarial network with an enhanced deep extreme learning machine
Weather-aware energy management for unmannedaerial vehicles: a machine learning application with global data integration
Intelligent state space pruning for Monte Carlo simulation with applications in composite power system reliability
IP-cores watermarking scheme at behavioral level using genetic algorithms
Deep click interest network for reranking hotels
Multi-scale fuzzy self-attention network for hyperspectral image classification with small-samples
Global Simplex Optimization - A simple and efficient metaheuristic for continuous optimization
From lab to pocket: A novel continual learning-based mobile application for screening COVID-19
Multi-atlas functional and effective connectivity attention fusion method for autism spectrum disorder diagnosis
Transfer learning based fault diagnosis of automobile dry clutch system
System dynamics simulation follow-up fuzzy cognitive map for investigating the effect of risks on relief in crisis management
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials