yusuke1997/dblp-id-title huggingface dataset:
Wavelet Frequency Tensor applied to temporary environments in discrete spaces to obtain mobility patterns. Use case in the detection of routes in a territory
LightKD-MRN:Hierarchical knowledge distillation with multi-task learning for bearing fault diagnosis and damage localization
Surrogate-assisted Monte Carlo Tree Search for real-time video games
Adaptive neural complementary sliding-mode control via functional-linked wavelet neural network
Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount
Modeling and control of a pilot pH plant using genetic algorithm
A data-driven sustainable scheduling model for dispatch-steerable last-mile delivery systems with negotiable time windows
Leveraging effectiveness and efficiency in Page Stream Deep Segmentation
BeCAPTCHA: Behavioral bot detection using touchscreen and mobile sensors benchmarked on HuMIdb
The nexus of intelligent transportation: A lightweight Bi-input fusion detection model for autonomous-rail rapid transit
Self-organizing broad network using information evaluation method
Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes
A fuzzy decision-making method for unloading command at crushing stations based on deep learning and dynamic coal flow features slicing
A face recognition taxonomy and review framework towards dimensionality, modality and feature quality
Complex environments, complex behaviour
Incipient fault diagnosis of analog circuit with ensemble HKELM based on fused multi-channel and multi-scale features
A nondominated sorting genetic algorithm III with three crossover strategies for the combined heat and power dynamic economic emission dispatch with or without prohibited operating zones
Machine learning methods comparison for maritime wireless signal strength prediction
Hand gesture recognition using a neural network shape fitting technique
Physical, mechanical characterization, and artificial neural network modeling of biodegradable composite scaffold for biomedical applications
A practical multi-layered framework for post-quantum secure machine learning
Two-stage vision system: Application of multi-perspective object detection network and character recognition network in industrial product classification
A highly accurate dense approach for homography estimation using modified differential evolution
Classification, Prediction, and Monitoring of Parkinson's disease using Computer Assisted Technologies: A Comparative Analysis
Rehabilitation exercise score prediction through integration of spatial feature with graph structural learning
Better utilization of materials' compositions for predicting their properties: Material composition visualization network
Strategy tuning of synthetic jet control over supercritical airfoil based on deep reinforcement learning
Feedback-control operators for improved Pareto-set description: Application to a polymer extrusion process
A configurable partial-order planning approach for field level operation strategies of PLC-based industry 4.0 automated manufacturing systems
A lightweight and improved you only look once model using GhostWise convolution and attention mechanism for accurate plant disease detection
Automatic sleep staging based on single-channel ballistocardiogram signals and multiple scales temporal feature analysis
An evolutionary based approach for assessment of earthquake-induced soil liquefaction and lateral displacement
SharpEdge: High-quality data-driven monocular depth estimation for enhanced boundary precision
Unsupervised detail and color restorer for Retinex-based low-light image enhancement
Collective multi agent deployment for wireless sensor network maintenance
Type-2 fuzzy logic based urban traffic management
Route evaluation for unmanned aerial vehicle based on type-2 fuzzy sets
A two-stage framework for pixel-level pavement surface crack detection
Reduced-order modeling of the two-dimensional Rayleigh-Bénard convection flow through a non-intrusive operator inference
Data analysis for panoramic X-ray selection: Fermatean fuzzy type correlation coefficients approach
Comparing passive and active fault-tolerant control of swashplate actuator faults in a medium-scale rotorcraft unmanned aerial vehicle with experimental validation
Novel situation assessment method for amphibious aircraft maritime rescue using probabilistic linguistic hybrid cloud model and best-worst method
Failure mode risk assessment methodology for controlling multi-uncertainties in the evaluation process
A robust federated learning framework for low-quality data and its applications
On the study of acoustic-driven bubble dynamics in Williamson Fluids with NARX neural networks
Deep learning-based power prediction aware charge scheduling approach in cloud based electric vehicular network
Parameter estimation of fractional-order arbitrary dimensional hyperchaotic systems via a hybrid adaptive artificial bee colony algorithm with simulated annealing algorithm
An ant-based stochastic searching behavior parameter estimate algorithm for multiple cells tracking
Optimizing Artificial Intelligence-aided breast cancer models: An empirical analysis of binary classifiers and regression-based feature selectors
Deep learning to frame objects for visual target tracking
Self-adaption neighborhood density clustering method for mixed data stream with concept drift
Unmanned surface vehicle autonomous racing and obstacle avoidance with robust adversarial deep reinforcement learning
Practical stabilization of highly nonlinear fuzzy hybrid complex networks via aperiodically intermittent discrete-time observation control
Bidirectional rapidly exploring random tree path planning algorithm based on adaptive strategies and artificial potential fields
A doctor's diagnosis experience enhanced transformer model for automatic diagnosis
Inverse compensation and adaptive fuzzy integral sliding-mode control for the underactuated soft massage physiotherapy robot
A class of Monotone Fuzzy rule-based Wiener systems with an application to Li-ion battery modelling
EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
Complete information extraction for monocular depth estimation using a dual framework
LCRTR-Net: A low-cost real-time recognition network for rail corrugation in railway transportation
Quantifying hybrid failure mode in cyclic-loaded reinforced concrete shear walls: Integrating unsupervised and supervised learning techniques
Artificial neural networks for fault detection in large-scale data acquisition systems
Cross-domain representation learning with causal invariance
Engineering multiuser museum interactives for shared cultural experiences
Adaptive reconstruct feature difference network for open set domain generalization fault diagnosis
Trend modelling with artificial neural networks. Case study: Operating zones identification for higher SO 3 incorporation in cement clinker
Comparative study of supervised classification algorithms for the detection of atmospheric pollution
A novel design and implementation technique for low complexity variable digital filters using multi-objective artificial bee colony optimization and a minimal spanning tree approach
State of the art of smart homes
A modified gravitational search algorithm for slope stability analysis
Multiple affective attribute classification of online customer product reviews: A heuristic deep learning method for supporting Kansei engineering
Practical framework for generative on-branch soybean pod detection in occlusion and class imbalance scenes
A transfer learning-based long short-term memory model for the prediction of river water temperature
A multi-objective scheduling model in medical tourism centers considering multi-task staff training
A novel diffusion model-based deep learning approach for anomaly detection in computer connector image analysis
Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification
Comparison of intelligent control planning algorithms for robot's part micro-assembly task
A new SVM-based active feedback scheme for image retrieval
Machine learning-based prediction of preplaced aggregate concrete characteristics
Optimal vibration isolation and alignment over non-rigid bases with the CRO-SL ensemble
User feedback information analysis based on collaborative filtering and revised rough numbers: A study on product green design elements extraction
VisNet: Spatiotemporal self-attention-based U-Net with multitask learning for joint visibility and fog occurrence forecasting
Self-supervised contrastive learning for robust remote photoplethysmography signal estimation based on spatio-temporal maps
Using cognitive agents in social simulations
A day-night cross-modal network for robust commodity recognition under low-light illumination
Corrigendum to "Advanced multi-layer deep learning model for accurate estimation of heat transfer and flow designing parameters across diverse dataset configurations" [Eng. Appl. Artif. Intell. 151 (2025) 110723]
Hierarchical cascaded networks with multi-task balanced loss for fine-grained hashing
Performance evaluation of an improved harmony search algorithm for numerical optimization: Melody Search (MS)
Comparative assessment of machine-learning scoring functions on PDBbind 2013
CLformer: Locally grouped auto-correlation and convolutional transformer for long-term multivariate time series forecasting
A novel fractional order partial grey prediction model with conformable fractional derivative and its application to energy prediction
Photo-realistic 3D model based accurate visual positioning system for large-scale indoor spaces
Piecewise reconstruction of membership function approximation errors for Takagi-Sugeno fuzzy control
A feature extraction based trajectory segmentation approach based on multiple movement parameters
Including steady-state information in nonlinear models: An application to the development of soft-sensors
An immune optimization deep reinforcement learning control method used for magnetorheological elastomer vibration absorber
Uncertainty quantification in molecular property prediction through spherical mixture density networks
Exploring 2-rank strategic weight manipulation in multiple attribute decision making and its applications in project review and university ranking
New adaptive robust H∞ control of smart structures using synchrosqueezed wavelet transform and recursive least-squares algorithm
A new approach to neural network via double hierarchy linguistic information: Application in robot selection
Application of artificial intelligence for university information system
A hybrid deep learning framework for conflict prediction of diverse merge scenarios at roundabouts
Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors
Diffusion-augmented direct classification: A few-shot learning framework for Synthetic Aperture Radar image automatic target recognition
Stereo matching on epipolar plane image for light field depth estimation via oriented structure
Adaptive Trend-Fluctuation Decomposition based Dual-Branch Graph Network for spatio-temporal forecasting
Application of constrained learning in making deep networks more transparent, regularized, and biologically plausible
Combine autoencoder and bidirectional neural network to predict emissions of plug-in hybrid electric vehicle
Attitude-based entropy function and applications in decision-making
Real-time asphalt pavement ice detection and annotation with a Transformer-based model framework
Implicit Neural Representations of Sheet Stamping Geometries with Small-Scale Features
Heuristic position allocation methods for forming multiple UAV formations
Fast shallow multi-subnet detector for real-time object detection
Textual backdoor attacks and a novel defense method for context-aware Arabic biomedical questions classifiers
Fuzzy probability measures (FPM) based non-symmetric membership function: Engineering examples of ground subsidence due to underground mining
Cross-database facial expression recognition based on Multi-feature Representation Multi-layer Domain Adaptive Fusion Network
Identification of tomato leaf diseases based on LMBRNet
Artificial intelligence and machine learning in mechanical engineering: Current trends and future prospects
A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices
Using linguistic summaries and concepts for understanding large data
Multi-UAV trajectory optimizer: A sustainable system for wireless data harvesting with deep reinforcement learning
CCAR: An efficient method for mining class association rules with itemset constraints
Auxiliary model-based multi-innovation PSO identification for Wiener-Hammerstein systems with scarce measurements
A novel percussion-based approach for pipeline leakage detection with improved MobileNetV2
Sparse representation learning using ℓ1-2 compressed sensing and rank-revealing QR factorization
Interpretable and multimodal fusion methodology to predict severe hypoglycemia in adults with type 1 diabetes
SimCLRT: A Simple Framework for Contrastive Learning of Rumor Tracking
Analyzing food bolus formation during chewing through image segmentation
Multi-objective generative design framework and realization for quasi-serial manipulator: Considering kinematic and dynamic performance
Mitigating Batch Normalization bias for single domain generalizable person re-identification
The use of neural network to predict the behavior of small plastic pipes embedded in reinforced sand and surface settlement under repeated load
A self-learning disturbance observer for nonlinear systems in feedback-error learning scheme
Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks
Fault diagnosis of driving gear in battery swapping system based on auditory bionics
A new entropy function and a classifier for thermal face recognition
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
Solving a periodic single-track train timetabling problem by an efficient hybrid algorithm
Designing of optimal digital IIR filter in the multi-objective framework using an evolutionary algorithm
Adaptive neural sliding mode compensator for a class of nonlinear systems with unmodeled uncertainties
An adaptive appliance identification method leveraging topological data analysis
Modeling and control of high-throughput screening systems in a max-plus algebraic setting
Automatic ship berthing using artificial neural network trained by consistent teaching data using nonlinear programming method
Price forecasts of ten steel products using Gaussian process regressions
LAFlowNet: A dynamic graph method for the prediction of velocity and pressure fields in left atrium and left atrial appendage
Integrated optimization and engineering application for disassembly line balancing problem with preventive maintenance
An explainable artificial intelligence and Internet of Things framework for monitoring and predicting cardiovascular disease
Investigation of the pharmaceutical warehouse locations under COVID-19 - A case study for Duzce, Turkey
Service quality evaluation of crowdsourcing logistics platform based on Fermatean fuzzy TODIM and regret theory
An anatomization of research paper recommender system: Overview, approaches and challenges
A truncated Gaussian distribution based multi-scale segment-wise fusion transformer model for multi-step commodity price forecasting
Dual-clustering-based Two-population Co-evolutionary Algorithm for segmentation coding in flash memory
Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features
Efficient generation of power system topology diagrams based on Graph Neural Network
A survey of the literature on airline crew scheduling
SIA-net: Structural information awareness network based on normal samples for surface defect detection
Regularisation methods for neural network model averaging
Development of intelligent equipment for weed identification and variable spraying in lettuce fields based on instance segmentation framework
A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization
Hybrid genetic algorithms in agent-based artificial market model for simulating fan tokens trading
Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism
A time series and deep fusion framework for rotating machinery fault diagnosis
Feature super-resolution-based method for small-scale target detection and segmentation in side-scan sonar
A data mining framework based on boundary-points for gene selection from DNA-microarrays: Pancreatic Ductal Adenocarcinoma as a case study
Online classification of soybean seeds based on deep learning
Lightweight semantic segmentation for Co-seismic landslide identification using adaptive transfer learning
A disc-spherical fuzzy combined compromise solution for efficient smart grid energy management
Causal artificial neural network and its applications in engineering design
Transformer-enabled weakly supervised abnormal event detection in intelligent video surveillance systems
CrossToGene: A bidirectional cross-modality interaction framework for predicting spatial gene expression from histopathological images
Sustainable structural health assessment of heritage masonry towers using artificial intelligence and data-driven monitoring: Insights from the civic tower of Matelica
Efficient mining of concise and informative representations of frequent high utility itemsets
Distributed robust data clustering in wireless sensor networks using diffusion moth flame optimization
An improved multisource data fusion method based on a novel divergence measure of belief function
A visual data unsupervised disentangled representation learning framework: Contrast disentanglement based on variational auto-encoder
Image segmentation of adhesive ores based on MSBA-Unet and convex-hull defect detection
Democratizing eye-tracking? Appearance-based gaze estimation with improved attention branch
Predicting Eddy current losses in large generator rotor using data-driven short connection deep Gaussian process
Dynamic weighted adversarial domain adaptation network with sparse representation denoising module for rotating machinery fault diagnosis
Design of a novel mixed interval type-2 fuzzy logic controller for 2-DOF robot manipulator with payload
On the design of a novel two-objective harmony search approach for distance- and connectivity-based localization in wireless sensor networks
Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible-infrared Person Re-identification
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples
Collaborative strategy for hybrid actions of radar modes and maneuver decisions under observation errors
Human-machine interaction controller of upper limb based on iterative learning method with zeroing neural algorithm and disturbance observer
Dual evidence enhancement and text-image similarity awareness for multimodal rumor detection
Matching images and texts with multi-head attention network for cross-media hashing retrieval
Picture fuzzy compromise ranking of alternatives using distance-to-ideal-solution approach for selecting blockchain technology platforms in logistics firms
Depth-aware and continuous edge curves for large-view underwater image reconstruction
Towards a semi-supervised ensemble clustering framework with flexible weighting mechanism and constraints information
An adaptive sparse general regression neural network-based force observer for teleoperation system
Support vector regression based friction modeling and compensation in motion control system
Quantum-inspired distributed policy-value optimization learning with advanced environmental forecasting for real-time generation control in novel power systems
Robust nonnegative matrix factorization with local coordinate constraint for image clustering
Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods
OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences
A Multi-Start Split based Path Relinking (MSSPR) approach for the vehicle routing problem with route balancing
Dual-image differential transformer for periodic lace surface defect detection
Neural networks informed by physics for modeling mass flow rate in a production wellbore
Quantum-inspired semantic matching based on neural networks with the duality of density matrices
Trends extraction and analysis for complex system monitoring and decision support
Genetic algorithm-based optimal computed torque control of a vision-based tracker robot: Simulation and experiment
Particle swarm optimisation of interplanetary trajectories from Earth to Jupiter and Saturn
Quantum hybrid algorithm for solving SAT problem
Double-quantitative feature selection using bidirectional three-level dependency measurements in divergence-based fuzzy rough sets
Decision making framework based Fermatean fuzzy integrated weighted distance and TOPSIS for green low-carbon port evaluation
Predicting physical activity levels from kinematic gait data using machine learning techniques
From augmentation to translation: Data generation by conditional hierarchical variational autoencoder, enhancing monitoring mooring systems in floating offshore wind turbines
Two-stage fuzzy object grasping controller for a humanoid robot with proximal policy optimization
Self-attention hierarchical kernel reservoir state network for inland water level prediction
On-line Arabic handwriting recognition system based on visual encoding and genetic algorithm
Optimization of underground mining production layouts considering geological uncertainty using deep reinforcement learning
Enhancing histopathological image analysis: An explainable vision transformer approach with comprehensive interpretation methods and evaluation of explanation quality
An efficient astronomical seeing forecasting method by random convolutional Kernel transformation
Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach
A novel seminar learning framework for weakly supervised salient object detection
Real-time prediction of temperature field of thermal fatigue-damaged thermos-compression bonding electrode based on digital twin data and improved generative adversarial network model
Understanding of wheelchair ramp scenes for disabled people with visual impairments
An adaptively balanced grey wolf optimization algorithm for feature selection on high-dimensional classification
Numerical solution of Generalized Burger-Huxley & Huxley's equation using Deep Galerkin neural network method
Defense against false data injection attacks on the electric vehicle charging stations data markets
Person re-identification based on an improved DeepLabv3+ semantic segmentation network
Experience transfer for process improvement
Trajectory prediction based on the dynamic characteristics and coupling relationships among vehicles in highway scenarios
The SMAA-MABAC approach for healthcare supplier selection in belief distribution environment with uncertainties
A hybrid feature selection method based on information theory and binary butterfly optimization algorithm
Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data
A meta-path graph-based graph homogenization framework for machine fault diagnosis
Improving maritime traffic emission estimations on missing data with CRBMs
Permanent magnet synchronous motor inter-turn short circuit diagnosis based on physical-data dual model under oil-drilling environment
A dual-objective contrastive learning approach with dynamic self-adaption for zero-shot fault diagnosis
DeepValve : Development and experimental testing of a Reinforcement Learning control framework for occupant-centric heating in offices