yusuke1997/dblp-id-title huggingface dataset:
Novel Fermatean Fuzzy Bonferroni Mean aggregation operators for selecting optimal health care waste treatment technology
Real-time railroad crossing surveillance with edge computing
Directional adversarial training for cost sensitive deep learning classification applications
A physics-based iterative learning framework for quantitative parametric imaging with application to photoacoustic imaging
Audio content analysis for unobtrusive event detection in smart homes
Unsupervised underwater image enhancement via content-style representation disentanglement
A multivariate method for detecting and characterizing the changes in responses of sensors when extreme outliers arise
Contrastive knowledge integrated graph neural networks for Chinese medical text classification
Combining multiple views: Case studies on protein and arrhythmia features
Clustering ensemble-based novelty score for outlier detection
Simulation and application of two-dimensional seismic wavefields with random sources using Fourier Neural Operator
Class label enhanced Wasserstein distance for classification of remote sensing smoke-related scenes
Genetic-algorithm-based type reduction algorithm for interval type-2 fuzzy logic controllers
Fast and efficient median filter for removing 1-99% levels of salt-and-pepper noise in images
Swarm intelligence applied in green logistics: A literature review
Automatic meter error detection with a data-driven approach
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning
Revenue prediction by mining frequent itemsets with customer analysis
Coefficient of permeability prediction of soils using gene expression programming
A bilateral negotiation mechanism by dynamic harmony threshold for group consensus decision making
Efficient local monitoring approach for the task of background subtraction
Robust empirical wavelet fuzzy cognitive map for time series forecasting
Method for ensuring quasi-maximum stability of a system with interval deviations by a robust controller parametric synthesis
Development and integration of a reactive real-time decision support system in the aluminum industry
Multi-objective optimization for process control of the in-situ bioremediation system under uncertainty
Deep learning-enhanced quantum optimization for integrated job scheduling in container terminals
A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction
Review of artificial intelligence and internet of things technologies in land and water management research during 1991-2021: A bibliometric analysis
Forecast-informed power load profiling: A novel approach
Driving efficiency in aerial scene classification: Insights from data augmentation, image processing, and multiscale Convolutional Neural Network models
Classification of modulation signals using statistical signal characterization and artificial neural networks
Developing digital twin design for enhanced productivity of an automated anodizing industry and process prediction using hybrid deep neural network
Improved Bandelet with heuristic evolutionary optimization for image compression
Minimization of voltage deviation and power losses in power networks using Pareto optimization methods
Enhanced differential evolution with hierarchical selection mutation and distance-based selection strategy
SS-GAN based road surface crack region segmentation and forecasting
One for all: Geometric structural-guided single domain generalization for vibration damper defect detection
A study of chaotic searching paths for their application in an ultrasonic scanner
An efficient and lightweight adaptive network for three-dimensional medical image segmentation
A novel interval neutrosophic-based group decision-making approach for sustainable development assessment in the computer manufacturing industry
Adversarial attack and training for deep neural network based power quality disturbance classification
Analytical and machine learning approaches for three-dimensional orthotropic functionally graded cylindrical structure in steady heat conduction
Tremor detection Transformer: An automatic symptom assessment framework based on refined whole-body pose estimation
Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network
Improving question answering performance using knowledge distillation and active learning
A synergy of an evolutionary algorithm with slime mould algorithm through series and parallel construction for improving global optimization and conventional design problem
Contrastive divergence for memristor-based restricted Boltzmann machine
Teaching machines to write like humans using L-attributed grammar
Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems
Support vector regression based modeling of pier scour using field data
Prediction model of burn-through point with fuzzy time series for iron ore sintering process
Monolingual, multilingual and cross-lingual code comment classification
Dynamic global power extraction of partially shaded PV system using a hybrid MPSO-PID with anti-windup strategy
Cross-domain intelligent cooperative spectrum sensing algorithm based on Federated Learning and Swin-Transformer neural network
A robust sparse identification of nonlinear dynamics approach by combining neural networks and an integral form
Detection and utilization of new-type encrypted network traffic in distributed scenarios
Deep spiking neural networks based on model fusion technology for remote sensing image classification
Wavenet using artificial bee colony applied to modeling of truck engine powertrain components
Anomaly detection in smart grid time-series data using Graph Deviation Networks
Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity
A novel dual-stage progressive enhancement network for single image deraining
A statistical complement to deterministic algorithms for the retrieval of aerosol optical thickness from radiance data
Deep architecture for silica forecasting of a real industrial froth flotation process
Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets
Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond
Multilinear rank support tensor machine for crowd density estimation
Ultra-low cycle fatigue life prediction of stainless steel based on transfer learning guided artificial neural network
Toward axial accuracy prediction and optimization of metal tube bending forming: A novel GRU-integrated Pb-NSGA-III optimization framework
Graph Convolutional Neural Networks with Geometric and Discrimination information
Low-cost, autonomous microscopy using deep learning and robotics: A crystal morphology case study
A human-robot interaction system for automated chemical experiments based on vision and natural language processing semantics
Gravity particle swarm optimization algorithm for solving shop visit balancing problem for repairable equipment
A block-based heuristic search algorithm for the two-dimensional guillotine strip packing problem
A novel complex network framework: Multi-span transition network with Riemann similarity measure
Review on optimization techniques and role of Artificial Intelligence in home energy management systems
Prediction of compressive strength of multiple types of fiber-reinforced concrete based on optimized machine learning models
A real-time onboard compressor stall warning method based on attention multiple sensors fusion and lightweight network
Laparoscopic stereo matching using 3-Dimensional Fourier transform with full multi-scale features
Node depth Representation-based Evolutionary Multitasking Optimization for Maximizing the Network Lifetime of Wireless Sensor Networks
Li-BIM, an agent-based approach to simulate occupant-building interaction from the Building-Information Modelling
Adaptive scalable spatio-temporal graph convolutional network for PM2.5 prediction
Enhanced you only look once model with frequency feature enhancement and illumination perception for duck behavior recognition in dynamic light scenarios
Trust management and evaluation for edge intelligence in the Internet of Things
Stock time series pattern matching: Template-based vs. rule-based approaches
Coherency-based fast voltage contingency ranking employing counterpropagation neural network
Topic models for decision-support systems. Part I: Training, representation and exploitation of topic models
MA-GCN: A Memory Augmented Graph Convolutional Network for traffic prediction
Enhancing rate of penetration prediction in drilling operations: A data stream framework approach
Coupler yaw angle identification of heavy-haul locomotives: A multi-scale feature fusion-based method
Next-generation healthcare: Digital twin technology and Monkeypox Skin Lesion Detector network enhancing monkeypox detection - Comparison with pre-trained models
Speaker diarization using autoassociative neural networks
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
Real-time deep learning-based position control of a mobile robot
An extended MULTIMOORA method based on OWGA operator and Choquet integral for risk prioritization identification of failure modes
Adaptive online sequential extreme learning machine for frequency-dependent noise data on offshore oil rig
A robust fleet-based anomaly detection framework applied to wind turbine vibration data
Multi-modal Expression Detection (MED): A cutting-edge review of current trends, challenges and solutions
A Multi-Domain Patch-Differentiated Transformer for vehicle re-identification
From human and object interaction to threat detection: An interpretable threat detection method for human violence scenarios
Traffic flow estimation using acoustic signal
Network partition for switched industrial Ethernet using genetic algorithm
Constraint based approach for the steady-state simulation of complex systems: Application to ship control
Weld signals driven abnormal quality detection based on a conditional differential denoising variational autoencoder for multi-pulse spot welding
A systematic review on the adoption of artificial intelligence technologies in renewable energy systems in Australia
Natural gas pipeline leak diagnosis based on manifold learning
A dual-stream regional feature learning and adaptive fusion method for electroencephalogram-based emotion recognition
Non-monotonic Lyapunov function based membership function dependent robust control of Takagi-Sugeno fuzzy systems
Time-series anomaly detection with stacked Transformer representations and 1D convolutional network
Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
Bogie key components fault diagnosis utilizing multi-sensor tensor graphs and dual-attribute feature selection
An efficient adaptive large neighborhood search algorithm based on heuristics and reformulations for the generalized quadratic assignment problem
Learning from experience for rapid generation of local car maneuvers
Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis
An iterated greedy algorithm for total flow time minimization in unrelated parallel batch machines with unequal job release times
A fuzzy cross domain matrix machine for fault diagnosis under multi-objective domain
Optimizing fuel economy of fuel cell hybrid electric vehicle based on energy management strategy with integrated rapid thermal regulation
An adaptive bidirectional quick optimal Rapidly-exploring Random Tree algorithm for path planning
Hierarchical Bayesian Deep Learning for return on advertising spend prediction: A probabilistic approach to e-commerce advertising
On the application of symbolic regression in the energy sector: Estimation of combined cycle power plant electrical power output using genetic programming algorithm
Gated transformer-based proximal policy optimization for multiple marine autonomous surface ships collision avoidance decision-making strategy
Dynamically Adaptive Deformable Feature Fusion for multi-scale character detection in ancient documents
Revisiting the loss functions in sequential recommendation
Application of reinforcement learning in robot soccer
Commentary on: "STOA: A bio-inspired based optimization algorithm for industrial engineering problems" [EAAI, 82 (2019), 148-174] and "Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization" [EAAI, 90 (2020), no. 103541]
Hybrid-triggered Proportional-Integral tracking control for fuzzy model based networked control systems against disturbance and actuator fault
Research of semantic understanding on target region of interest for fuzzy image
Investigation of stochastic deep learning path planning methods for mobile robots
Online multi-channel real-time detection method and device for surface defects of winter jujube based on improved faster regions with convolutional neural networks model
Learning automata based routing and content delivery for vehicular named data networking
Designing a deep learning-based application for detecting fake online reviews
A study on leading machine learning techniques for high order fuzzy time series forecasting
A novel semi-local centrality to identify influential nodes in complex networks by integrating multidimensional factors
Providing decision-making approaches for the assessment and selection of cloud computing using bipolar complex fuzzy Einstein power aggregation operators
Combining knowledge extension with convolution neural network for diabetes prediction
Spatio-temporal collaborative multiple-stream transformer network for liver lesion classification on multiple-sequence magnetic resonance imaging
Mars-TRP: Classification of Mars imagery using dynamic polling between transferred features
Multi-step look ahead deep reinforcement learning approach for automatic train regulation of urban rail transit lines with energy-saving
Artificial intelligence-based predictive models for shear wave velocity of soils: A comprehensive review
Adaptive weighted multiple imputation with generative adversarial networks for improving wind speed data integrity
Deep learning inspired game-based cognitive assessment for early dementia detection
Conjunctive water management under multiple uncertainties: A centroid-based type-2 fuzzy-probabilistic programming approach
Data-driven minimization of pump operating and maintenance cost
An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization
Detection and comparison of reversible shape transformations in responsive polymers using deep learning and knowledge transfer by identifying stimulus-triggering characteristic points
Prediction of the flexural strength and elastic modulus of cementitious materials reinforced with carbon nanotubes: An approach with artificial intelligence
Influence of cost/loss functions on classification rate: A comparative study across diverse classifiers and domains
An efficient speech recognition system in adverse conditions using the nonparametric regression
A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications
Unsupervised wear detection for abrasive tools using audio features and dual-masked graph autoencoder
A system for classification of time-series data from industrial non-destructive device
An agent-based emotional persuasion model driven by integrated trust assessment
Instance segmentation of stack composed of unknown objects
Fuzzy Petri nets for knowledge representation and reasoning: A literature review
An integrated decision support framework for resilient vaccine supply chain network design
Novel aeroengine fault diagnosis method based on feature amplification
Multivariate statistical monitoring of continuous wastewater treatment plants
MixSegNet: Fusing multiple mixed-supervisory signals with multiple views of networks for mixed-supervised medical image segmentation
UDANet: An unsupervised domain adaptive vehicle density estimation network based on joint adversarial learning
Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter
MambaRSIS: Context-aware multi-scale feature aggregation with selective state space model for remote sensing instance segmentation
Genetic programming based feature construction methods for foreground object segmentation
A multiobjective construction site layout and safety planning model based on evolutionary algorithms
Research on optimization strategy for steel strip temper rolling elongation based on model predictive control
An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir
Soft-margin Ellipsoid generative adversarial networks
Large-scale mobile users deployment optimization based on a two-stage hybrid global HS-DE algorithm in multi-UAV-enabled mobile edge computing
A hybrid genetic algorithm for the design of water distribution networks
Automated Machine Learning for Text Classification: Creating Ensembles of Classifiers through Evolutionary Hyper-Heuristics
Enhancing sustainable supply chain readiness to adopt blockchain: A decision support approach for barriers analysis
HMMN: Online metric learning for human re-identification via hard sample mining memory network
Industrial fabric defect-generative adversarial network (IFD-GAN): High-fidelity fabric cross-scale defect samples synthesis method for enhancing automated recognition performance
An efficient automated negotiation strategy for complex environments
MFFSP: Multi-scale feature fusion scene parsing network for landslides detection based on high-resolution satellite images
An online reinforcement learning method to improve control adaptability in robot-aided rehabilitation
A gated Recurrent unit considering spatial correlation for short-term traffic volume forecasting in highway tunnels
An efficient identity-preserving and fast-converging hybrid generative adversarial network inversion framework
A novel neural network based on dynamic time warping and Kalman filter for real-time monitoring of supersonic inlet flow patterns
Auto-pore segmentation of digital microscopic leather images for species identification
Green and efficient path planning framework based on multi-granularity view fusion for amphibious unmanned aerial vehicles
ParcelDrone: A modular and graph neural network-based decentralized approach to aerial parcel delivery
Optimal composite morphological supervised filter for image denoising using genetic programming: Application to magnetic resonance images
Physics and correlations informed deep learning to foresee various regimes of the pool boiling curve
Exploring multi-label feature selection via feature and label information supplementation
A deep sequence-to-sequence model for power swing blocking of distance protection in power transmission lines
Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning
A novel building heat pump system semi-supervised fault detection and diagnosis method under small and imbalanced data
A new filter based-instance selection for high dimensional data classification
Deep learning-based modeling of stakeholders preferences and balancing through multi-objective optimization in a multi-stakeholder recommendation system
Energy management in residential communities with shared storage based on multi-agent systems: Application to smart grids
A type-2 neutrosophic entropy-based group decision analytics model for sustainable aquaculture engineering
Textual prompt guided image restoration
Reliability evaluation of solar integrated power distribution systems using an Evolutionary Swarm Algorithm
Enhancing the drilling efficiency through the application of machine learning and optimization algorithm
Improving perceptual quality in spatiotemporal timeseries forecasting
Embedding enhancement with foreground feature alignment and primitive knowledge for few-shot learning
Automating competence management through non-standard reasoning
Complex T-Spherical Fuzzy Yager prioritized weighted aggregation for prioritizing waste management strategies: A case study from Delhi
Guiding reinforcement learning with shaping rewards provided by the vision-language model
Parameter estimation of bilinear systems based on an adaptive particle swarm optimization
NFIoT-GATE-DTL IDS: Genetic algorithm-tuned ensemble of deep transfer learning for NetFlow-based intrusion detection system for internet of things
Application of genetic algorithm to computer-aided process planning in preliminary and detailed planning
Local search for real-world scheduling and planning
Multiple aerial/ground vehicles coordinated spraying using reinforcement learning
Personal credit default prediction fusion framework based on self-attention and cross-network algorithms
A multi-teacher knowledge distillation-based framework for long-term respiratory monitoring and prediction with a novel flexible wearable sensor in healthcare engineering
Predefined time convergence guaranteed performance control for uncertain systems based on reinforcement learning
Model-based approach for fault diagnosis using set-membership formulation
Local exponential stability of competitive neural networks with different time scales
Cross-scale recognition of dense insulators and defects in complex power grid environments
Optimized hyperparameters for retail sales forecasting using grid search
C3DBed: Facial micro-expression recognition with three-dimensional convolutional neural network embedding in transformer model
Light-assisted A ⁎ path planning
A Q-learning artificial bee colony for distributed assembly flow shop scheduling with factory eligibility, transportation capacity and setup time
Post-earthquake structural damage detection with tunable semi-synthetic image generation
Multi-agent deep reinforcement learning with enhanced collaboration for distribution network voltage control
A customized multi-class pavement distress segmentation method for routine repair monitoring
An optimized grey prediction model with second-order derivatives for wind power generation prediction in China
Automatic white shrimp (Penaeus vannamei) biometrical analysis from laboratory images using computer vision and deep learning
DLCSS: A new similarity measure for time series data mining
Proactive approach to enhancing safety management using deep learning classifiers for construction safety documentation
Robust visual odometry using sparse optical flow network
Adaptive image-based visual servoing gain using reinforcement learning for robotic arm
A parallel rule-based approach to compute rough approximations of dominance based rough set theory
Semantic knowledge transfer for semi-supervised medical image segmentation
Using the BCD model for risk analysis: An influence diagram based approach
Building-integrated photovoltaics forecasting: Machine learning models for irradiance and power, feasibility, and recommended directions
An extended MARCOS method for MCGDM under 2-tuple linguistic q-rung picture fuzzy environment
A feasibility study on the use of anthropometric variables to make muscle-computer interface more practical
Skeleton-based action recognition based on multidimensional adaptive dynamic temporal graph convolutional network
A bi-level model and hybrid heuristic algorithm for the optimal location of prefabricated building industrial park
Community detection algorithm for social network based on node intimacy and graph embedding model
Domain generalization plant leaf disease recognition: Toward from laboratory to field
A multi-type semantic interaction and enhancement method for tax question understanding
A risk-based approach applied to system engineering projects: A new learning based multi-criteria decision support tool based on an Ant Colony Algorithm
The design of the global navigation satellite system surveying networks using genetic algorithms