yusuke1997/dblp-id-title huggingface dataset:
A new profile-agnostic sequential parametrisation method for extrusion die in transformer-based surrogate model
Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach
A novel health indicator by dominant invariant subspace on Grassmann manifold for state of health assessment of lithium-ion battery
General and optimal 2D convolutional neural networks to predict the residual compressive strength of concretes exposed to high temperatures
Strategies for enhancing the performance of news article classification in Bangla: Handling imbalance and interpretation
Heuristic algorithm for RPAMP with central rectangle and its application to solve oil-gas treatment facility layout problem
Strip and asymmetric aggregation network for unstructured terrain segmentation in wild environments
Can deep learning techniques improve classification performance of vandalism detection in Wikipedia?
Deep reinforcement learning approach for hybrid renewable energy systems optimization
A pipelined recurrent fuzzy model for real-time analysis of lung sounds
A camera-light detection and ranging sensor online extrinsic calibration network based on mamba-like linear attention mechanism for unstructured off-road environments
A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions
Rough neural network based data-driven model-free adaptive fault-tolerant control for discrete-time nonlinear systems
An effective iterated local search algorithm for the distributed no-wait flowshop scheduling problem
Lightweight bidirectional long short-term memory based on automated model pruning with application to bearing remaining useful life prediction
Hybrid particle swarm optimization algorithm for scheduling flexible assembly systems with blocking and deadlock constraints
Human-robot interaction-oriented video understanding of human actions
Combining neural networks and phenomenological equations to model carbon dioxide adsorption on Zeolitic imidazolate framework (ZIF-8)
Optimizing the selection of the secret parameters for public key cryptosystems by using interval linear programming and fully fuzzy linear programming
Recursive construction of output-context fuzzy systems for the condition monitoring of electrical hotspots based on infrared thermography
Real-time fuzzy-feedforward controller design by bacterial foraging optimization for an electrohydraulic system
Filtering offensive language from multilingual social media contents: A deep learning approach
Exploratory literature review and scientometric analysis of artificial intelligence applied to geopolymeric materials
Adaptive signal fusion for swashplate pump fault detection using bidirectional long short-term memory and wavelet scattering transform
Semi-elliptic membership function: Representation, generation, operations, defuzzification, ranking and its application to the real-time task scheduling problem
A space-time delay neural network model for travel time prediction
Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal
An application of DEMATEL and fuzzy DEMATEL to evaluate the interaction of safety management system and cybersecurity management system in automated vehicles
A simple formulation for effective flexural stiffness of circular reinforced concrete columns
Interpretable generalization diagnosis: Variational causal disentanglement-based coalitional game attribution network
Comparison of unsupervised image anomaly detection models for sheet metal glue lines
Decentralized adaptive recurrent neural control structure
Leveraging the power of machine learning and data balancing techniques to evaluate stability in smart grids
Non-negative consistency affinity graph learning for unsupervised feature selection and clustering
Adaptive error bounded piecewise linear approximation for time-series representation
Deep learning-based real-time 3D human pose estimation
CTPR: Contrastive transition predictive representation for reinforcement learning
Predicting the ultimate strength of rectangular concrete-filled steel tube columns under eccentric loading using a knowledge-enhanced machine learning framework
A local multiscale probabilistic graphical model for data validation and reconstruction, and its application in industry
Enacting agent-based services for automated procurement
A heuristic and meta-heuristic based on problem-specific knowledge for distributed blocking flow-shop scheduling problem with sequence-dependent setup times
Impact of Deep Reinforcement Learning on Variable Speed Limit strategies in connected vehicles environments
A micro-genetic algorithm for multi-objective scheduling of a real world pipeline network
Cost-effective and real-time landslide monitoring method based on ultra-wideband using ultra-wideband transformer neural network
Explainable Optimal Random Forest model with conversational interface
Ink painting style transfer using asymmetric cycle-consistent GAN
Resilience enhancement of power distribution system using fixed and mobile emergency generators based on deep reinforcement learning
An unsupervised feature selection algorithm based on ant colony optimization
Efficient dehazing network based on mix structure for single image with uneven haze distribution
Temporal Contrastive and Spatial Enhancement Coarse Grained Network for Weakly Supervised Group Activity Recognition
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption - A systematic review
New discrete-time robust H 2 /H ∞ algorithm for vibration control of smart structures using linear matrix inequalities
Self-supervised learning with ensemble representations
Artificial neural network aided computing for two dimensional magnetohydrodynamic peristaltic movement of nanofluid with heat and mass transfer
Positional error compensation for aviation drilling robot based on Bayesian linear regression
Electroencephalogram signal classification based on Fourier transform and Pattern Recognition Network for epilepsy diagnosis
Two-sided matching optimization model for green housing technology selection based on hesitant 2-tuple linguistic rough numbers
A multi-agent approach for integrated emergency vehicle dispatching and covering problem
Classification of power quality disturbances using residual networks with channel attention mechanism
A fast O(NlgN) time hybrid clustering algorithm using the circumference proximity based merging technique for diversified datasets
Learning causal Bayesian networks based on causality analysis for classification
Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices
Optimal coordination of over-current relays using modified differential evolution algorithms
Parameter-Efficient Fine-Tuning for citrus fruit defect segmentation model based on text prompt
Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models
Causality thinking for large-scale long-tailed video action recognition
A committee machine-based estimation of shear velocity log by combining intelligent systems and rock-physics model using metaheuristic algorithms
Few-shot fault diagnosis of switch machine based on data fusion and balanced regularized prototypical network
Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems
Collaborative weighted multi-view feature extraction
Complex Pythagorean neutrosophic normal interval-valued set with an aggregation operators using score values
Hyperspectral classification based on spectral-spatial convolutional neural networks
A deep reinforcement learning model for dynamic job-shop scheduling problem with uncertain processing time
Curvature index of image samples used to evaluate the interpretability informativeness
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
Keyword spotting using an evolutionary-based classifier and discriminative features
Magnetic signal denoising based on auxiliary sensor array and deep noise reconstruction
Probabilistic dual hesitant fuzzy MAGDM method based on generalized extended power average operator and its application to online teaching platform supplier selection
Shaping Q -values right: A distributional normalized actor-critic approach
Artificial Neural Network solution for Magnetohydrodynamic ternary hybrid second-grade nanofluid in rotating Jeffery-Hamel flow under heat generation: Entropy generation analyses
A crowdsourcing logistics solution based on digital twin and four-party evolutionary game
Accurate solar power prediction with advanced hybrid deep learning approach
Optimization of inserted coiled tube three-fluid heat exchanger using genetic algorithms
Children's psychological recognition with a multimodal language model incorporating visual language features
A new similarity measure between picture fuzzy sets and its application
A study on dynamic active learning for meta-modelling of process simulations
Design and implementation of a soft Actor-Critic controller for a robotic arm
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry
Evolutionary programming for the length minimization of addition chains
Segmentation of casting defect regions for the extraction of microstructural properties
Behavioral response of fish under ammonia nitrogen stress based on machine vision
A new insight into implementing Mamdani fuzzy inference system for dynamic process modeling: Application on flash separator fuzzy dynamic modeling
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Incorporate long association into high-order fuzzy logical relationship based time series forecasting
An improved artificial tree algorithm with two populations (IATTP)
Classification of battery laser welding defects via enhanced image preprocessing methods and explainable artificial intelligence-based verification
High order fuzzy time series method based on pi-sigma neural network
Optimal dynamic fixed-mix portfolios based on reinforcement learning with second order stochastic dominance
Trajectory based lateral control: A Reinforcement Learning case study
Probabilistic linguistic prospect outranking risk decision making method based on stochastic dominance and application in emergency plan evaluation
Evaluation of shared micro-mobility systems for sustainable cities by using a consensus-based Fermatean fuzzy multiple objective optimization and full multiplicative form
A proportional share allocation mechanism for coordination of plug-in electric vehiclecharging
Computer-aided detection systems based on ballistocardiography signals: A review
Optimal infrastructure in microgrids with diverse uncertainties based on demand response, renewable energy sources and two-stage parallel optimization algorithm
Multi-objective train speed profile determination for automatic train operation with conscious search: A new optimization algorithm, a comprehensive study
Robust omnidirectional mobile robot topological navigation system using omnidirectional vision
Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images
Feature refinement attention U-net for enhanced liver segmentation
Autoregressive data generation method based on wavelet packet transform and cascaded stochastic quantization for bearing fault diagnosis under unbalanced samples
Multi-task cyclical consistency learning based medical image segmentation
SOFT: Self-supervised sparse Optical Flow Transformer for video stabilization via quaternion
Novel meta learning-artificial intelligence model for systematically detecting potential pan cancer-related targets
Spatio-temporal features for fast early warning of unplanned self-extubation in ICU
Coupled data-driven and experience-informed neural networks for prediction of pile base resistance with consideration of data limitation
How to take into account general and contextual knowledge for interactive aiding design: Towards the coupling of CSP and CBR approaches
Hierarchical reinforcement learning with curriculum demonstrations and goal-guided policies for sequential robotic manipulation
RCSD-UAV: An object detection dataset for unmanned aerial vehicles in realistic complex scenarios
A survey of vision-based condition monitoring methods using deep learning: A synthetic fiber rope perspective
Volterra kernel based face recognition using artificial bee colonyoptimization
A dual linguistic scale-based digitization and exploitation method for scrap steel remanufacturing process selection
A single-valued neutrosophic affinity propagation approach for engineering geological zoning of open-pit mine slopes
A location conversion method for roads through deep learning-based semantic matching and simplified qualitative direction knowledge representation
A fuzzy multi-objective programming model for the delivery and distribution of humanitarian relief materials
A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information
Multilingual OCR system for South Indian scripts and English documents: An approach based on Fourier transform and principal component analysis
A strongly supervised hyperspectral unmixing framework for precise mineral composition and coal ash content estimation
A friction temperature model for dynamic operating bearing based on CNN and CNNLSTM
Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem
A hybrid WA-CPSO-LSSVR model for dissolved oxygen content prediction in crab culture
Numerical analysis of heat and mass transfer in off-centered stagnation point Casson fluid flow over a rotating disc with thermophoretic particle deposition and artificial neural network-based optimization
Adaptive filtering algorithm based on Beta fluctuation and fractional order differential evolution in impulsive noise
Collaborative Semantic Contrastive for All-in-one Image Restoration
Real-time particle swarm optimization based current harmonic cancellation
Bring order to the jumbled input: Layered attention for Large Language Model based Event Argument Extraction
ML-based vehicle downtime reduction: A case of air compressor failure detection
Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process
Input-optimized physics-informed neural networks for wave propagation problems in laminated structures
An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters
Optimizing multi-objectives urban siting of hydrogen refueling dispenser using fuzzy NSGA-II: A case study in Fez, Morocco
Using deep learning for selenium web UI functional tests: A case-study with e-commerce applications
Multi-class classification of paint/coating defects using transfer learning
Method of recognizing sleep postures based on air pressure sensor and convolutional neural network: For an air spring mattress
An object triple mapping system supporting detached objects: A performance and memory usage empirical comparison
An improved localization algorithm with wireless heartbeat monitoring system for patient safety in psychiatric wards
Combining knowledge and historical data for system-level fault diagnosis of HVAC systems
A combined short-term power load forecasting system based on generative adversarial networks
Randomized block-coordinate adaptive algorithms for nonconvex optimization problems
Automatic detection of ophthalmic artery stenosis using the adaptive neuro-fuzzy inference system
An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis
Multi-objective assembly line rebalancing problem based on complexity measurement in green manufacturing
Decision-making systems improvement based on explainable artificial intelligence approaches for predictive maintenance
Global probability distribution structure-sparsity filter pruning for edge fault diagnosis in resource constrained wireless sensor networks
SimNCD: An agent-based formalism for the study of noncommunicable diseases
Physics-informed deep homogenization approach for random nanoporous composites with energetic interfaces
Automated detection and quantification of pavement cracking around manhole
Metaheuristic algorithms for calibration of two-dimensional wildfire spread prediction model
A FeedForward-Convolutional Neural Network to Detect Low-Rate DoS in IoT
Enhanced drug recommendation model with graph contrastive based on singular value decomposition
Revised multi-choice goal programming for incorporated dynamic virtual cellular manufacturing into supply chain management: A case study
Spectral clustering for sensing urban land use using Twitter activity
Utilizing convolutional neural networks for calculating full-field stress components and directions in photoelasticity
A virtual construction vehicles and workers dataset with three-dimensional annotations
Improving robustness of Transformers for power quality disturbance classification via optimized relevance maps
Edge-assisted framework for instant anomaly detection and cloud-based anomaly recognition in smart surveillance
Chance constrained dynamic optimization approach for single machine scheduling involving flexible maintenance, production, and uncertainty
Intrinsic-motivation multi-robot social formation navigation with coordinated exploration
Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting
Enhanced few-shot object detection for remote sensing images based on target characteristics
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target
A self-organizing system for urban traffic control based on predictive interval microscopic model
Corrigendum to 'Affective analytics of demonstration sites' [Eng. Appl. Artif. Intell. 81 (2019) 346-372]
Prediction of crime rate in urban neighborhoods based on machine learning
Genetic algorithm based on receding horizon control for arrival sequencing and scheduling
Efficient algorithms for mining top-rank-k erasable patterns using pruning strategies and the subsume concept
Fuzzy rule classifier: Capability for generalization in wood color recognition
A framework for smart control using machine-learning modeling for processes with closed-loop control in Industry 4.0
Multi-vehicle cooperative decision-making for ramp merging in mixed traffic: A pre-trial behavior-informed reinforcement learning approach
Hybrid physics-based and data-driven method for the rotor angle prediction
Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for Doppler ultrasound signals
Specific emitter identification unaffected by time through adversarial domain adaptation and continual learning
Portfolio optimization using predictive auxiliary classifier generative adversarial networks
A multiple conditions dual inputs attention network remaining useful life prediction method
MHT: A multiscale hourglass-transformer for remaining useful life prediction of aircraft engine
Special issue on semantic information and engineering systems
Multi-visual modality micro drone-based structural damage detection
Chemical, biological, radiological and nuclear event detection and classification using ontology interrogation and social media data
Fault diagnosis network design for vehicle on-board equipments of high-speed railway: A deep learning approach
A compromise decision-support technique with an augmented scoring function within circular intuitionistic fuzzy settings
Predictive analysis of carbon monoxide concentration fluctuations due to coal spontaneous combustion in goaf zones disturbed by mining activities
Optimal capacity allocation under random passenger demands in the high-speed rail network
A physics-informed deep learning approach for bearing fault detection
Inductive t-SNE via deep learning to visualize multi-label images
Welding sequence optimization to reduce welding distortion based on coupled artificial neural network and swarm intelligence algorithm
Automated processing of eXplainable Artificial Intelligence outputs in deep learning models for fault diagnostics of large infrastructures
Multi-stage optimization of the installation of Energy Storage Systems in railway electrical infrastructures with nature-inspired optimization algorithms
A novel metric-based model with the ability of zero-shot learning for intelligent fault diagnosis
Ant colony intelligence in multi-agent dynamic manufacturing scheduling
Efficient incremental high utility pattern mining based on pre-large concept
Refined offshore wind speed prediction: Leveraging a two-layer decomposition technique, gated recurrent unit, and kernel density estimation for precise point and interval forecasts
Artificial intelligence-driven modeling and optimization of micro-drilling carbon dot composites via extreme gradient boosting and sensitivity analysis
Applications of data analysis techniques for oil production prediction
Rapid prediction of structural deflection based on explainable machine learning
Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes
The impact of diversity on performance of holonic multi-agent systems
The extended weighted t-norms-based linear hybrid aggregation function and its application for aggregating improved basic uncertain linguistic information
Technology opportunity discovery linking artificial intelligence and construction technologies: A graph convolution network-based approach
Bioprocess diagnosis based on the empirical use of distance measures in the theory of belief functions
Design of integrated synergetic controller for the excitation and governing system of hydraulic generator unit
LDD-Net: Lightweight printed circuit board defect detection network fusing multi-scale features
Sustainable configuration of production lines: Multi-objective energy-efficient optimization with adaptive differential evolution and golden ratio algorithms
Self-supervised visual assessment of railway track curvature via homography learning based on projective curvilinear geometry model
Adversarial deep reinforcement learning based robust depth tracking control for underactuated autonomous underwater vehicle
Optimal Machine Learning- and Deep Learning-driven algorithms for predicting the future value of investments: A systematic review and meta-analysis
A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems
Dual source geometric constraints based high precision online pose estimation
MSENet: Mean and standard deviation based ensemble network for cervical cancer detection
Step-wise multi-grained augmented gradient boosting decision trees for credit scoring
Improvement of low-frequency oscillation damping in power systems using a deep learning technique
A novel parsimonious spherical fuzzy analytic hierarchy process for sustainable urban transport solutions
A comprehensive wind speed prediction system based on intelligent optimized deep neural network and error analysis
Generalized Morse Wavelets parameter selection and transfer learning for pavement transverse cracking detection
Real time modelling of the dynamic mechanical behaviour of PEMFC thanks to neural networks
Meta-learning with hypernetworks: Cost-effective fault detection in Parabolic Trough plants
Selection of robot technology using q-rung normal fuzzy interaction based decision-making model
PDSMNet: Parallel pyramid dual-stream modeling for automatic lung COVID-19 infection segmentations
Adaptive self-evolving extreme learning machine-based terminal sliding mode control with application in retinal vein injection
Hypergraph neural network with state space models for node classification