yusuke1997/dblp-id-title huggingface dataset:
A deep learning method for the prediction of ship fuel consumption in real operational conditions
OralTransNet: A novel hybrid model integrating transformer attention and CNN features for accurate diagnosis of mouth and oral diseases
An Industrial Multi Agent System for real-time distributed collaborative prognostics
From SMART to agent systems development
Recreating horizontal alignments of existing railways with a hybrid analytic and harmony search algorithm
Wavelet neural adaptive proportional plus conventional integral-derivative controller design of SSSC for transient stability improvement
Graph regularized One-hot-constrained nonnegative matrix factorization for data representation
Multi-criteria group decision-making process using convex combination of q-rung orthopair basic probability assignment with application to medical diagnosis
Mixed-integer linear programming and composed heuristics for three-stage remanufacturing system scheduling problem
Adaptive job routing and scheduling
Fine-tuning a vulnerability-specific large language model for a hybrid software vulnerability detection method
Parametric design of automotive ball joint based on variable design methodology using knowledge and feature-based computer assisted 3D modelling
EMORL: Effective multi-objective reinforcement learning method for hyperparameter optimization
Transformer-based partner dance motion generation
Progressive convolutional transformer for image restoration
Operation space design of microbial fuel cells combined anaerobic-anoxic-oxic process based on support vector regression inverse model
Adaptive parameterized model predictive control based on reinforcement learning: A synthesis framework
A physics-penalized neural network with asynchronous propagation and localization embedding for dynamic plantar pressure prediction in older adults
A new strategy for automotive off-board diagnosis based on a meta-heuristic engine
Complex ISAR target recognition using deep adaptive learning
A metaheuristic-driven physical asset risk management framework for manufacturing system considering continuity measures
Change detection on multi-sensor imagery using mixed interleaved group convolutional network
Multi-source information fused loose particle localization and material identification method for sealed electronic equipment
Applied Pareto multi-objective optimization by stochastic solvers
Madhubani Art Classification using transfer learning with deep feature fusion and decision fusion based techniques
A hybrid genetic algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints
Data-driven multivariate power curve modeling of offshore wind turbines
Enhancing road crack detection with Neural Architecture Seeks Large Neural Network: Leveraging deep learning and Augmented Minority Over-Sampling Technique on public and custom developed datasets
Incorporating adaptability-related knowledge into support vector machine for case-based design adaptation
On the machine learning-assisted identification of the fundamental parameters of nonstandard microfin arrays to assess their heat transfer performance
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times
Relation between fault characteristic frequencies and local interpretability shapley additive explanations for continuous machine health monitoring
Hybrid modelling of ruble exchange rates amidst the Russo-Ukrainian conflict using swarm and fuzzy neural networks
Improving graph-based image classification by using emerging patterns as attributes
A differential evolution framework based on the fluid model for feature selection
A storage-efficient SNN-CNN hybrid network with RRAM-implemented weights for traffic signs recognition
Online fuzzy identification for an intelligent controller based on a simple platform
Learning-based tuning of supervisory model predictive control for drinking water networks
Stabilization for a class of nonlinear systems: A fuzzy logic approach
American Sign Language word recognition with a sensory glove using artificial neural networks
A novel machine learning approach for detecting first-time-appeared malware
Inferring the value of a variable using measure based information of a related variable
An integrated FMEA framework considering expert reliability for classification and its application in aircraft power supply system
A conceptual framework for machine learning algorithm selection for predictive maintenance
Medical image compression using topology-preserving neural networks
Artificial neural networks in microgrids: A review
Exhaustive and heuristic search approaches for learning a software defect prediction model
Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert-Huang​ transform
A complex process fault diagnosis method based on manifold distribution adaptation
Controlling fracture propagation using deep reinforcement learning
Integrating forecasting in metaheuristic methods to solve dynamic routing problems: Evidence from the logistic processes of tuna vessels
Randomized attention and dual-path system for electrocardiogram identity recognition
Unlocking language barriers: Assessing pre-trained large language models across multilingual tasks and unveiling the black box with Explainable Artificial Intelligence
An effective exploration method based on N-step updated Dirichlet distribution and Dempster-Shafer theory for deep reinforcement learning
A robust defect detection method with a generalization enhancer and cross-modality aggregator for cylinder bores
Modeling plasma surface modification of textile fabrics using artificial neural networks
Hierarchical graph-based machine learning model for optimization of three-dimensional braced steel frame
Feature construction using explanations of individual predictions
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Automated identification of soil Fungi and Chromista through Convolutional Neural Networks
COVID-19 symptom identification using Deep Learning and hardware emulated systems
LSTSVR+: Least square twin support vector regression with privileged information
Solar photovoltaic power generation using machine learning considering weather conditions: A case study of Biret, Mauritania
Coarse-to-fine SVD-GAN based framework for enhanced frame synthesis
Altitude-informed fusion pyramid network for multi-scale waste detection in unmanned aerial vehicle images
Mobile localization of multiple construction hazards based on panoramic vision and spatial transformation
The multi-depot pickup and delivery vehicle routing problem with time windows and dynamic demands
Three-dimensional dynamic uncertainty semantic SLAM method for a production workshop
Multiscale self-attention for unmanned ariel vehicle-based infrared thermal images detection
Vision-based control of a quadrotor utilizing artificial neural networks for tracking of moving targets
Complex diseases SNP selection and classification by hybrid Association Rule Mining and Artificial Neural Network - based Evolutionary Algorithms
Double-layer multi-criteria group decision-making approach using neutralized possibility degree-based decision matrix with fuzzy information
Deep time-frequency learning for interpretable weak signal enhancement of rotating machineries
Airlift mission monitoring and dynamic rescheduling
A real-time design and implementation of intelligent drowsiness and fatigue recognition system for enhancing driver safety
Meta learning-based deep reinforcement learning algorithm for task offloading in dynamic vehicular network
Boosting the prediction of molten steel temperature in ladle furnace with a dynamic outlier ensemble
Visual object tracking using learnable target-aware token emphasis
A fiber-reinforced human-like soft robotic manipulator based on sEMG force estimation
DipGame: A challenging negotiation testbed
A lightweight model combining convolutional neural network and Transformer for driver distraction recognition
AI-based optical-thermal video data fusion for near real-time blade segmentation in normal wind turbine operation
IPDNet: A dual convolutional network combined with image prior for single image dehazing
Artificial intelligence-based damage localization method for building structures using correlation of measured structural responses
ACOTSP-MF: A memory-friendly and highly scalable ACOTSP approach
Novel supplier grading approach based on interval probability hesitant fuzzy linguistic TOPSIS
MSPFNet: Multi-scale perceptual focusing network for scrap steel segmentation and classification
Adaptive lightweight temporal convolutional network with context-aware downsampling strategy for traffic flow prediction
Enhancing bibliographic reference parsing with contrastive learning and prompt learning
Energy-based structural least squares twin support vector clustering
Orthogonal Diversity Nonnegative Matrix Factorization for multi-view clustering
Estimating the unknown time delay in chemical processes
Design of an efficient fault-tolerant quantum-computing circuit with quantum neural network learning
Data-driven oriented optimization of resource allocation in the forging process using Bi-objective Evolutionary Algorithm
A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial intelligence
Engineering framework for agent-based manufacturing control
Subnetwork prediction approach for aircraft schedule recovery
A single-valued neutrosophic-based methodology for selecting warehouse management software in sustainable logistics systems
A double auto-weighted strategy for multi-view clustering
Corrigendum to "Integrated scheduling of pallets and vehicles for automated warehouses with multi-tier racks" [Eng. Appl. Artif. Intell. 163 (2026) 112851]
Intelligent optimization of highway alignments: A novel approach integrating geographic information system and genetic algorithms
μMOSM: A hybrid multi-objective micro evolutionary algorithm
Defect detection network for micro-electrical connectors based on dual-branch feature extraction and dynamic bias with granularity enhancement encoder
Missing microseismic data imputation in tunnel monitoring using a transformer model with an integrated Gaussian mixture model
Shielding against online harm: A survey on text analysis to prevent cyberbullying
Sensor placement determination for a wearable device in dual-arm manipulation tasks
Introduction to the special section on Innovative Production Machines and Systems (I*PROMS)
CMISR: Circular medical image super-resolution
Non-linear eigenspace visual object tracking
Black Widow Optimization Algorithm: A novel meta-heuristic approach for solving engineering optimization problems
Combustion process modeling based on deep sparse least squares support vector regression
Machine learning models based on bubble analysis for Bitcoin market crash prediction
Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach
Neural network ensembles based on copula methods and Distributed Multiobjective Central Force Optimization algorithm
Correcting update anomalies in spatiotemporal knowledge graphs with uncertainties
Frequency-wavelet adaptive basis network for long-term time series forecasting
A traffic flow prediction method based on constrained dynamic graph convolutional recurrent networks
A distribution linguistic group decision-making method considering twin multiplicative data envelopment analysis regret-rejoice cross-efficiency
Modular implementation of artificial neural network in predicting in-flight particle characteristics of an atmospheric plasma spray process
Bayesian policy distillation: Towards lightweight and fast neural policy networks
Power generation forecasting based on hybrid deep learning models for a multi-energy power generation system
Edge artificial intelligence and super-resolution for enhanced weapon detection in video surveillance
A new symbiotic evolution-based fuzzy-neural approach to fault diagnosis of marine propulsion systems
Metaheuristics for multiobjective optimization in energy-efficient job shops
Sharpness-aware debiased alignment for imbalanced domain generalization fault diagnosis
Enhancing accuracy, diversity, and random input compatibility in face attribute manipulation
A novel target threat assessment method based on three-way decisions under intuitionistic fuzzy multi-attribute decision making environment
Real-time prediction of breast cancer sites using deformation-aware graph neural network
Cost of selfishness in the allocation of cities in the Multiple Travelling Salesmen Problem
Carbon futures price forecasting based on feature selection
Explainable anomaly detection in spacecraft telemetry
PRIS: Practical robust invertible network for image steganography
Progress and prospects of future urban health status prediction
Efficient extended-graph multi-matrices subspace learning: Toward meta-similarity and efficiency promotion
A novel multi-fidelity sequential optimization method based on multi-level Gaussian process
An integrated FEM and ANN methodology for metal-formed product design
An image segmentation method for solid-liquid separation on shale shaker based on an improved U2Net
Semi-supervised sparse neighbor constrained co-clustering with dissimilarity and similarity regularization
IGAN: A collaborative filtering model based on Improved Generative Adversarial Networks for recommendation
Uncertainty quantification in sequential hybrid deep transfer learning for solar irradiation predictions
Stable convolutional neural network for economy applications
Foraging theory for autonomous vehicle speed choice
A multi-agent-based cooperative optimization control method for the motor energy consumption and tracking accuracy of an unmanned electric tractor
Extraction of vascular wall in carotid ultrasound via a novel boundary-delineation network
On the performance of parallel hybrid algorithms for the solution of the quadratic assignment problem
DFTQuake: Tripartite Fourier attention and dendrite network for real-time early prediction of earthquake magnitude and peak ground acceleration
Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithm
Modeling biodiesel properties by preference learning: Case study of cetane number
An interval-valued linguistic Markov decision model with fast convergency
Development and implementation of a real-time open-architecture control system for industrial robot systems
Online fault detection and isolation of nonlinear systems based on neurofuzzy networks
Conditional generative adversarial networks for spectrum-compatible ground motion generation of scenario earthquakes
Automatic measurement of surface parameters of composite braided fabrics based on modified U-shaped network
Development of a cross-scale weighted feature fusion network for hot-rolled steel surface defect detection
Towards privacy preserving AI based composition framework in edge networks using fully homomorphic encryption
Integration of distributed generations and static var compensators with static synchronous compensators to reduce power losses
Resilient dynamic microgrid formation by deep reinforcement learning integrating physics-informed neural networks
A class-aware calibration and balanced consistency weighting framework for Federated Semi-Supervised Learning
A self-updating model for analysing system reconfigurability
HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers
An explainable deep reinforcement learning algorithm for the parameter configuration and adjustment in the consortium blockchain
Multi-sensor information fusion and coordinate attention-based fault diagnosis method and its interpretability research
Interval Type-2 enhanced possibilistic fuzzy C-means noisy image segmentation algorithm amalgamating weighted local information
Quantitative land price analysis via computer vision from street view images
AFEformer: An adaptive frequency enhancement transformer for time series prediction
Multi-domain adaptation for cross-domain semantic slot filling
Cervical cancer classification based on a bilinear convolutional neural network approach and random projection
Hybrid Reinforcement Learning in parameterized action space via fluctuates constraint
A hybrid computational approach to derive new ground-motion prediction equations
Dental X-Ray image enhancement using a novel evolutionary optimization algorithm
Model-agnostic local explanation: Multi-objective genetic algorithm explainer
A novel multivariate nonlinear time-delayed grey model for forecasting electricity consumption
Research on X-ray weld seam defect detection and size measurement method based on neural network self-optimization
Intelligent recognition method of target tactical behavior intention in air combat based on deep learning
Solving a new bi-objective hierarchical hub location problem with an M∕M∕c queuing framework
A novel approach to model-based diagnosis with multiple observations
Advances in physics-informed neural networks for solving complex partial differential equations and their engineering applications: A systematic review
Characterization of the Autoencoder Radiation Anomaly Detection (ARAD) model
Online feature learning for condition monitoring of rotating machinery
Scheduling and route planning for forests rescue: Applications with a novel ant colony optimization algorithm
Domain generalization for multi-modal face anti-spoofing via MixCropMask Augmentation and deep hybrid-level fusion
The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection
A multi-criteria decision making method based on DNMA and CRITIC with linguistic D numbers for blockchain platform evaluation
Fault diagnosis method of mining vibrating screen mesh based on an improved algorithm
Data compactification and computing with words
An inexact fuzzy-queue programming model for environmental systems planning
Domain adaptation assisted automatic real-time human-based video summarization
Unsupervised image-to-image translation in multi-parametric MRI of bladder cancer
An efficient hybrid multi-objective memetic algorithm for the frequency assignment problem
Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework
Smart vibratory peening: An approach towards digitalisation and integration of vibratory special process into smart factories
Fuzzy logic-based learning system and estimation of state-of-charge of lead-acid battery
Spatial air quality prediction in urban areas via message passing
Integrated energy management for hybrid electric vehicles: A Bellman neural network approach
Mamba-CorRL: Mamba-correlation graph convolutional networks with reinforcement learning for traffic flow prediction
Semantic-driven seasonal data classification: An artificial intelligence-enabled cost-effective storage system
Machine learning-based estimation of sound transmission loss in single and double-layered rectangular functionally graded plates
Classification and detection of direct current power quality disturbances for grid operation implications using deep learning models
Observer-based sensor fault detection and isolation for chemical batch reactors
An adaptive output feedback formation control algorithm for multiple unmanned surface vehicles based on virtual structure and line-of-sight guidance
Maneuvering target interception via deep reinforcement learning guidance using only line-of-sight rate measurement
Industry 4.0: Latent Dirichlet Allocation and clustering based theme identification of bibliography
Community detection in networks through a deep robust auto-encoder nonnegative matrix factorization
Multi-criteria group decision-making method using Spherical Fuzzy Z-Numbers for smart technology revolution in municipal waste management
Handling imbalanced class in melanoma: Kemeny-Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization
Structure and classification of unified energy agents as a base for the systematic development of future energy grids
Machine learning prediction of flow-induced scour depth around isolated pier comparing stand-alone and ensemble models
Research on uncertain multiple attribute decision making based on improved possibility degree relation model and its application
An efficient framework for general long-horizon time series forecasting with Mamba and Diffusion Probabilistic Models
Meta-learning for few-shot sensor self-calibration to increase stress robustness
An audio-based framework for anomaly detection in large-scale structural testing
Eviformer: An uncertainty fault diagnosis framework guided by evidential deep learning
Predicting thermal transport of blood-based penta-hybrid nanofluid in Fin geometries using deep neural networks and finite difference approach
An integrated risk assessment framework for aircraft systems based on system-theoretic process analysis and fuzzy linguistic consensus decision-making
Reliability-centered availability collaborative optimization allocation approach for machine tools
Immunological algorithms paradigm for construction of Boolean functions with good cryptographic properties
Rethinking vision transformer through human-object interaction detection
Novel similarity measures in spherical fuzzy environment and their applications
A wavelet-based estimating depth of anesthesia
Nonlinear transformation of term frequencies for term weighting in text categorization
Corrigendum to "Understanding the disparities in Mathematics performance: An interpretability-based examination" [Eng. Appl. Artif. Intell. 133 Part B (2024) 108109]
Paying more attention to local contrast: Improving infrared small target detection performance via prior knowledge
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
AI in apiculture: A novel framework for recognition of invasive insects under unconstrained flying conditions for smart beehives
Supporting user participation design using a fuzzy analytic hierarchy process approach
Optimized sugeno fuzzy clustering algorithm for wireless sensor networks
Model-free learning control of neutralization processes using reinforcement learning
Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization
Probabilistic prediction of wind speed using an integrated deep belief network optimized by a hybrid multi-objective particle swarm algorithm
Whale optimization algorithm-based Sugeno fuzzy logic controller for fault ride-through improvement of grid-connected variable speed wind generators
Development of the Natural Survivor Method (NSM) for designing an updating mechanism in metaheuristic search algorithms
Assessing voltage and power prediction in vibrating cylinders using machine learning algorithms: Insights from wind tunnel experiments
Design of concrete incorporating microencapsulated phase change materials for clean energy: A ternary machine learning approach based on generative adversarial networks
Discrete artificial bee colony algorithm with fixed neighborhood search for traveling salesman problem
Circular spherical fuzzy aggregation operators: A case study of risk assessments on industry expansion
Alarm clustering for intrusion detection systems in computer networks
Fuzzy graph convolutional network for hyperspectral image classification
Reinforcement learning enhanced evolutionary algorithms for inverse design of electric cargo truck frames
Traffic congestion-aware graph-based vehicle rerouting framework from aerial imagery
A three layer stacked multimodel transfer learning approach for deep feature extraction from Chest Radiographic images for the classification of COVID-19
A reputation-aided negotiation mechanism for multi-agent society based on blockchain
Enhancing risk factor evaluation for infectious diseases using decision-making approach based on linear programming
A two-branch deep learning with spatial and pose constraints for social group detection