yusuke1997/dblp-id-title huggingface dataset:
Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM
HU-FCF++: A novel hybrid method for the new user cold-start problem in recommender systems
Enhanced salp swarm algorithm: Application to variable speed wind generators
Detection of fruit tree diseases in natural environments: A novel approach based on stereo camera and deep learning
An interactive fuzzy multi-objective optimization method for engineering design
Large model-embedded deep reinforcement learning for stability control of multiband power system stabilizer with high penetration distributed energy sources
Hierarchical visual semantic guidance for enhanced relationship recognition in domain knowledge graphs
Biological visual-cognition-inspired deep network for short-term significant wave height prediction
Solving a novel multi-divisional project portfolio selection and scheduling problem
An agent-based model for plausible wayfinding in pedestrian simulation
A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning
Analytical and deep learning approaches for solving the inverse kinematic problem of a high degrees of freedom robotic arm
Dynamic lane-changing trajectory planning for autonomous vehicles: A novel approach using Gravitational Search Algorithm with Blend Crossover
Exploring the synergies of hybrid convolutional neural network and Vision Transformer architectures for computer vision: A survey
A novel method for locating the critical slip surface of a soil slope
HIWANet: A high imperceptibility watermarking attack network
Bilateral guidance network for one-shot metal defect segmentation
Choosing the right word: Using bidirectional LSTM tagger for writing support systems
Development of an adaptive fuzzy logic-based inverse dynamic model for laser cladding process
State of charge estimation of lithium-ion batteries using improved multi-attention long short-term memory extended Kalman filtering model
Defect cluster recognition system for fabricated semiconductor wafers
Image caption generation using a dual attention mechanism
A data-driven segmented model based on variance information for centrifugal pump efficiency prediction
A Graph Convolutional Network and Gated Recurrent Unit-based surrogate for agent-based diffusion models
Optimal consistency adjustment strategy and benevolent multiplicative data envelopment analysis for group decision-making with interval-probabilistic linguistic preference relations
Control with adaptive Q-learning: A comparison for two classical control problems
A method for creating a depth map based on a three-level fuzzy model
Trustworthy multi-phase liver tumor segmentation via evidence-based uncertainty
Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework
Area and power optimization for Fixed Polarity Reed-Muller logic circuits based on Multi-strategy Multi-objective Artificial Bee Colony algorithm
Marine and land economy-energy-environment systems forecasting by novel structural-adaptive fractional time-delay nonlinear systematic grey model
An improved brain storm optimization algorithm with new solution generation strategies for classification
Optimizing feedforward artificial neural network architecture
Modeling of oxygen mass transfer in the presence of oxygen-vectors using neural networks developed by differential evolution algorithm
Surrogate-assisted parallel tempering for Bayesian neural learning
Multimodal synthetic images generation and aggregation framework for low-cost and high-accuracy nasopharyngeal carcinoma tumor segmentation
A text-based hybrid transfer learning model for ternary classification in health misinformation detection
Digital twin based intelligent control system on gas extraction from boreholes and experimental research
Intelligent path planning for autonomous ground vehicles in dynamic environments utilizing adaptive Neuro-Fuzzy control
Dual objective bounded abstaining model to control performance for safety-critical applications
Holonic multi-agent system for traffic signals control
An exhaustive measurement of re-sampling detection in lossy compressed images using deep learning approach
Biogeography-based optimization of a variable camshaft timing system
Convolutional neural networks for tsunami intensity measure prediction from slip and coseismic deformation data
Sparse dynamical features generation, application to Parkinson's disease diagnosis
An efficient method for mining frequent itemsets with double constraints
Associating ω-automata to path queries on Webs of Linked Data
A data-driven decision support system for selecting managers based on their performance evaluations over time
Predicting concrete strength through packing density using machine learning models
Product online multidimensional ratings aggregation decision-making model based on group division and attribute interaction
A Transformer Neural Network For AC series arc-fault detection
Neural TV program recommendation with multi-source heterogeneous data
UD_BBC: Named entity recognition in social network combined BERT-BiLSTM-CRF with active learning
Synthetic data augmentation for high-resolution X-ray welding defect detection and classification based on a small number of real samples
An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology
A data-scattering-preserving adaptive self-organizing map
MirrorDiff: Prompt redescription for zero-shot grounded text-to-image generation with attention modulation
Wavelet-fuzzy power quality diagnosis system with inference method based on overlap functions: Case study in an AC microgrid
Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection
Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities
Crude oil price forecasting with machine learning and Google search data: An accuracy comparison of single-model versus multiple-model
LCW-Net: Low-light-image-based crop and weed segmentation network using attention module in two decoders
A novel fuzzy hybrid quantum artificial immune clustering algorithm based on cloud model
DynaKey-GNN: An efficient dynamic key-node multi-graph neural network for spatio-temporal traffic flow forecasting
Similarity measure on intuitionistic fuzzy sets based on Benchmark Line and it's diverse applications
Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment
Pricing-based strategies for autonomic control of web servers for time-varying request arrivals
Reinforcement learning-based distributed impedance control of robots for compliant operation in tight interaction tasks
Genetic equation for the prediction of tool-chip contact length in orthogonal cutting
Geometry perception and motion planning in robotic assembly based on semantic segmentation and point clouds reconstruction
A theme music generation model based on hybrid variational autoencoders and conditional generative adversarial networks
A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability
ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition
Integration of Distributed Generations and electric vehicles in the distribution system
A heterogeneous couplings and persuasive user/item information model for Next Basket recommendation
Cross-scale prediction of aluminum dust concentration based on Image Fusion Physics-Informed Neural Networks
Infrastructures and tools for multiagent systems for the new generation of distributed systems
A machine learning-based algorithm for automated detection of frequency-based events in recorded time series of sensor data
Irrelevance discriminative network for enhancing cross-center generalization in medical imaging segmentation
Optimized graph neural networks for spatial recognition to support automatic building information model semantic enrichment - Exploring node features enhancing strategies
Game theory based node scheduling as a distributed solution for coverage control in wireless sensor networks
Three-way decision method integrating probabilistic linguistic term sets and prospect theory in large-scale scenarios
Lightweight transformer-driven multi-scale trapezoidal attention network for saliency detection
Real-time Deep Neural Networks for internet-enabled arc-fault detection
A dynamic consensus-based decentralized method for multiple unmanned aerial vehicles cooperative target allocation
A mixed closed-open multi-depot routing and scheduling problem for homemade meal delivery incorporating drone and crowd-sourced fleet: A self-adaptive hyper-heuristic approach
Predicting the difference between intent and perception with transformer using athlete self-report measures in sports training
Whip strike detection using high-sampling-rate audio by evaluating convolutional recurrent neural network configurations and class imbalance strategies
Proposal of a sequential machine learning modelling approach for optimal cementitious composites
Approximate dynamic programming approach to efficient metro train timetabling and passenger flow control strategy with stop-skipping
Agent-based hybrid tabu-search heuristic for dynamic scheduling
A novel object detection model for sugar beet Cercospora leaf spot in field scenarios based on large kernel decomposition and spatial channel interaction attention
Preventive maintenance scheduling of a multi-skilled human resource-constrained project's portfolio
A depthwise convolutional neural network model based on active contour for multi-defect wafer map pattern classification
Deep metric learning assisted by intra-variance in a semi-supervised view of learning
ForecaState: Framework for industrial Internet of Things state forecasting using recurrent neural networks with hyperparameters optimization
Physics-informed neural networks in heat transfer-dominated multiphysics systems: A comprehensive review
D3-Net: Integrated multi-task convolutional neural network for water surface deblurring, dehazing and object detection
An intrusion detection system using Exponential Henry Gas Solubility Optimization based Deep Neuro Fuzzy Network in MANET
Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem
Refine to the essence: Less-redundant skill learning via diversity clustering
Signal detection and material identification method for loose particles inside sealed relays based on fusion classification model
Analytical propagation of errors and uncertainties in deep neural networks in the domain of physical sciences
Domain adaptation fault diagnosis method based on discriminative feature enhancement)
Adaptive extreme learning framework for nitrogen oxide conversion prediction: a multi-scale approach
Mining high-utility itemsets based on particle swarm optimization
Deep Q-learning with feature extraction and prioritized experience replay for edge node overload in edge computing
On real-time semantic segmentation with comprehensive off-road datasets for enhanced terrain classification
Efficient object tracking algorithm based on lightweight Siamese networks
Fibonacci indicator algorithm: A novel tool for complex optimization problems
A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems
Gait pattern recognition based on electroencephalogram signals with common spatial pattern and graph attention networks
Comprehensive driver behaviour review: Taxonomy, issues and challenges, motivations and research direction towards achieving a smart transportation environment
A comparison of novel metaheuristic algorithms on color aerial image multilevel thresholding
PbMMD: A novel policy based multi-process malware detection
G2IFu: Graph-based implicit function for single-view 3D reconstruction
A hybrid deep learning approach combining neutrosophic set theory and multi-axis vision transformer for nutrient deficiency classification in plants
The use of ignition delay time in genetic algorithms optimisation of chemical kinetics reaction mechanisms
Dynamic VSA: a framework for malware detection based on register contents
Beyond the horizon: A comprehensive analysis of artificial intelligence-based weather forecasting models
Subspace graph networks for real-time granular flow simulation with applications to machine-terrain interactions
Adaptive polyhedral meshing for approximate dynamic programming in control
FDFNet: Feature-decision dual fusion network for intelligent fault diagnosis of rotating machinery under varying speed conditions
On the use of synthetic data for body detection in maritime search and rescue operations
Modified TODIM method based on cumulative prospect theory with Type-2 neutrosophic number for green supplier selection
Adaptive sequential strategy for risk estimation of engineering systems using Gaussian process regression active learning
Spatial-temporal multi-scale interaction for few-shot video summarization
MLANet: Multi-Layer Anchor-free Network for generic lesion detection
Doctor selection based on aspect-based sentiment analysis and neutrosophic TOPSIS method
A Lightweight Detection and Recognition Framework for cigarette laser code
Numerical stability improvements of state-value function approximations based on RLS learning for online HDP-DLQR control system design
An interpretable precursor-driven hierarchical model for predictive aircraft safety
AITIA-PM: Discovering the true causes of events in a process mining context
A generative-adversarial-network-based temporal raw trace data augmentation framework for fault detection in semiconductor manufacturing
IDPonzi: An interpretable detection model for identifying smart Ponzi schemes
A bi-objective home care routing and scheduling problem considering patient preference and soft temporal dependency constraints
Probabilistic prediction of peers' performance in P2P networks
Optimistic planning with an adaptive number of action switches for near-optimal nonlinear control
Selection of the structural severest design ground motions based on big data and random forest
Enhanced underwater acoustic target recognition using parallel dual-branch network with attention mechanism
When content-centric networking meets multi-criteria group decision-making: Optimal cache placement policy achieved by MARCOS with q-rung orthopair fuzzy set pair analysis
Neural model of the Adaptive Tuned Particle Impact Damper
Congestion detection in pedestrian crowds using oscillation in motion trajectories
Food multi-factor decoupling recognition based on progressive spatial-frequency attention distillation learning
A hybrid systematic design for multiobjective market problems: a case study in crude oil markets
Multi-class gastrointestinal disease detection using context-aware deep representation learning with feature fusion approach on biomedical endoscopic images
Development of local and global wastewater biochemical oxygen demand real-time prediction models using supervised machine learning algorithms
Application of a deep learning semantic segmentation model to helium bubbles and voids in nuclear materials
A nonlinear multi-label learning model based on Tanh mapping
Evolutionary learning of fuzzy models
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
A novel lightweight multi-path learning with explainable artificial intelligence technique based on ovarian cancer detection framework
Cross-domain Intelligent Fault Diagnosis Method for rotating machinery based on deep universal domain adaptation
AI-powered health monitoring of anode baking furnace pits in aluminum production using autonomous drones
Evaluation of sustainable strategies for urban parcel delivery: Linguistic q-rung orthopair fuzzy Choquet integral approach
Data-driven deformation prediction and control for existing tunnels below shield tunneling
Sequential motion optimization with short-term adaptive moment estimation for deep learning problems
Enhancing anomaly detection with few-shot fine-tuned long text-to-image models
Integrated and concurrent detailed design of a mechatronic quadrotor system using a fuzzy-based particle swarm optimization
Fuzzy optimal schedule of high speed train operation to minimize energy consumption with uncertain delays and driver's behavioral response
Multi-time slots real-time pricing strategy with power fluctuation caused by operating continuity of smart home appliances
An adaptive traffic signal control scheme with Proximal Policy Optimization based on deep reinforcement learning for a single intersection
Predicting biomechanical properties of additively manufactured polydopamine coated poly lactic acid bone plates using deep learning
Batch and data streaming classification models for detecting adverse events and understanding the influencing factors
Exploiting Non-likelihood Adversarial Training for Chinese Counterfactual Data Augmentation
Semisupervised classification of remote sensing images using efficient neighborhood learning method
Information measures based on similarity under neutrosophic fuzzy environment and multi-criteria decision problems
Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition
Recognizing wearable upper-limb rehabilitation gestures by a hybrid multi-feature neural network
A self-adaptive energy-based learning rate for stochastic gradient descent via Vector Auxiliary Variable method
Aftershock ground motion prediction model based on conditional convolutional generative adversarial networks
Robust predictive model for evaluating breast cancer survivability
The development of a road network flood risk detection model using optimised ensemble learning
Convolutional neural networks for accurate and robust noninvasive pressure measurements in sealed systems
Localizing state space for visual reinforcement learning in noisy environments
A scenario-based genetic algorithm for controlling supercapacitor aging and degradation in the industry 4.0 era
a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks
Data-driven model for accommodation of faulty angle of attack sensor measurements in fixed winged aircraft
A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction
Speaker age estimation using i-vectors
Hybrid structures in time series modeling and forecasting: A review
Adaptable, incremental, and explainable network intrusion detection systems for internet of things
Discrete crow-inspired algorithms for traveling salesman problem
Statistical analysis and Neural Network Modeling of functionally graded porous nanobeams vibration in an elastic medium by considering the surface effects
Deep bioinspired evolutionary stacking algorithm for unpaired multimodal cell classification calibration
An image segmentation method based on a modified local-information weighted intuitionistic Fuzzy C-means clustering and Gold-panning Algorithm
Prediction of building energy performance using mathematical gene-expression programming for a selected region of dry-summer climate
Cyber-security and reinforcement learning - A brief survey
MRRNet: Learning multiple region representation for video person re-identification
Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
An evolving T-S fuzzy model identification approach based on a special membership function and its application on pump-turbine governing system
Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks
Underwater target detection based on Faster R-CNN and adversarial occlusion network
Multi-objective Iterated Local Search based on decomposition for job scheduling problems with machine deterioration effect
Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild
Automated acquisition and analysis of illegal fund accounts in gambling websites
A convex relaxation framework for a class of semi-supervised learning methods and its application in pattern recognition
Acoustic tomography temperature reconstruction based on improved sparse reconstruction model and multi-scale feature fusion network
Optimization and prioritization of electric vehicle charging locations for InterCity transport: A dual-phase approach
GFML: Gravity function for metric learning
CSN: Component supervised network for few-shot classification
Perturbation finite element method of structural analysis under fuzzy environments
A new hybrid financial time series prediction model
A soft-sensor for sustainable operation of coagulation and flocculation units
Delayed evolutionary game clustering-based recommendation algorithm via latent information and user preference
DeepCrackAT: An effective crack segmentation framework based on learning multi-scale crack features
Mutual dimensionless improved bearing fault diagnosis based on Bp-increment broad learning system in computer vision
Monthly ship price forecasting based on multivariate variational mode decomposition
Control oriented fast optimisation with SHapley additive explanations assisted two-stage training of input convex neural network
Multi-objective optimization of closed-loop supply chains to achieve sustainable development goals in uncertain environments
A lexicographic-based two-stage algorithm for vehicle routing problem with simultaneous pickup-delivery and time window
A review of instruction-guided image editing
Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach
Special issue on Internet of Things (IoT) for in-vehicle systems
Multi-agent quantum-inspired deep reinforcement learning for real-time distributed generation control of 100% renewable energy systems
Towards open-world recognition: Critical problems and challenges
Superpixel-wise semi-supervised structural sparse coding classifier for image segmentation
Development of a muscle electrical stimulation parameter selection method with an intelligent system
A fast X-shaped foreground segmentation network with CompactASPP
A novel adaptive fuzzy membership function tuning algorithm for robust control of a PV-based Dynamic Voltage Restorer (DVR)
A novel grey adaptive relational modeling approach for identifying the drivers of renewable energy
LSTM-NV: A combined scheme against selective forwarding attack in event-driven wireless sensor networks under harsh environments
Modeling and analysis of pumps in a wastewater treatment plant: A data-mining approach
Virtual workflows and adaptive optimization scheduling of production process with feedback constraints
Exploring structural components in autoencoder-based data clustering
Stereo matching on images based on volume fusion and disparity space attention
Learning temporal action models from multiple plans: A constraint satisfaction approach
Application of physical-structure-driven deep learning and compensation methods in aircraft engine health management
An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management
Probabilistic analysis of tunnel convergence in spatially variable soil based on Gaussian process regression
Harnessing prototype networks for novel plant species and disease classification in open-world scenarios
Learning vehicle trajectory uncertainty
Evolutionary swarm formation: From simulations to real world robots
Ultra-Range Gesture Recognition using a web-camera in Human-Robot Interaction
Dynamic Bayesian network for robust latent variable modeling and fault classification
A particle swarm inspired approach for continuous distributed constraint optimization problems
Chance constrained programming for sustainable four dimensional fuzzy-rough transportation problem with rest period of drivers and time window constraints
A dual path neural network based on spatial correlation and feature weighting for predicting remaining useful life of aero-engine