yusuke1997/dblp-id-title huggingface dataset:
A transfer reinforcement learning and digital-twin based task allocation method for human-robot collaboration assembly
Ordinal and nominal classification of wind speed from synoptic pressurepatterns
Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines
SMINet: Semantics-aware multi-level feature interaction network for surface defect detection
Neural message-passing for objective-based uncertainty quantification and optimal experimental design
Hydrogenerator early fault detection: Sparse Dictionary Learning jointly with the Variational Autoencoder
Accelerating nearest neighbor partitioning neural network classifier based on CUDA
A GMDH model and parametric investigation of geopolymeric recycled concrete FRP-spiral-confined members
Safety monitoring digital twin-based centralized model consolidation mechanism using dynamic node selection for multi-worker safety prediction
New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire vulnerability map
STDnet: Exploiting high resolution feature maps for small object detection
Feature Description Attention: Channel-independent local-global fusion for multi-scale feature representation
An entropy-based corpus method for improving keyword extraction: An example of sustainability corpus
Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition
Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions
A cases and clusters framework for recording, retrieving, and reusing response plans in structured cybersecurity incident management
Hybrid signal processing and machine intelligence techniques for detection, quantification and classification of power quality disturbances
Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra
Small object detection by Edge-aware Neural Network
Self-organising energy demand allocation through canons of distributive justice in a microgrid
Multi-objective general variable neighborhood search for software maintainability optimization
Improved Population-Based Incremental Learning of Bayesian Networks with partly known structure and parallel computing
Reducing modal differences in zero-shot Anomaly detection based on vision-language generation model
Zero-shot prediction method for offshore platforms driven by multimodal feature fusion and information entropy measurement
A systematic empirical study on word embedding based methods in discovering Chinese black keywords
Output uncertainty score for decision making processes using interval type-2 fuzzy systems
Diagnosisformer: An efficient rolling bearing fault diagnosis method based on improved Transformer
A novel multi-step ahead prediction method for landslide displacement based on autoregressive integrated moving average and intelligent algorithm
Energy-derivative attention enhanced deep learning for multi-phase segmentation of mesoscale heterogeneous material using X-ray computed tomography images
Signed Bond Graph for multiple faults diagnosis
An interval-valued neutrosophic based MAIRCA method for sustainable material selection
An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation
Surgery planning for elective patients: A dedicated heuristic and an effective ALNS
Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction
Intersecting reinforcement learning and deep factor methods for optimizing locality and globality in forecasting: A review
Multi-robot task allocation for optional tasks with hidden workload: Using a model-based hyper-heuristic strategy
A generalized visibility graph algorithm for analyzing biological time series having rotation in polar plane
Fuzzy train tracking algorithm for the energy efficient operation of CBTC equipped metro lines
Dialogue response coherency evaluation with feature sensitive negative sample using multi list-wise ranking loss
Ensemble of Effect Size Methods Based on Meta Fuzzy Functions
Design of multi-view graph embedding using multiple kernel learning
Photo-voltaic power daily predictions using expanding PDE sum models of polynomial networks based on Operational Calculus
A swarming neural network computing approach to solve the Zika virus model
Meta-action reliability-based mechanical product optimization design under uncertainty environment
A robust artificial intelligence informed over complete rational dilation wavelet transform technique coupled with deep learning for long-term rainfall prediction
Multiclass classification of faulty industrial machinery using sound samples
An integrated assessment framework for the evaluation of niche suitability of digital innovation ecosystem with interval-valued Fermatean fuzzy information
A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning
Dual-channel machine learning proxy for pseudo-two-dimensional model with enhanced extrapolation correction
ANN-based interval forecasting of streamflow discharges using the LUBE method and MOFIPS
Steps, techniques, and technologies for the development of intelligent applications based on Semantic Web Services: A case study in e-learning systems
A novel solution for routing a swarm of drones operated on a mobile host
Two-stream bolt preload prediction network using hydraulic pressure and nut angle signals
QoS-aware roadside base station assisted routing in vehicular networks
Explainable automated wild-orchid identification combining deep neural networks and Bayesian networks
A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis
Enhancing particulate matter risk assessment with novel machine learning-driven toxicity threshold prediction
Ship imaging trajectory extraction via an aggregated you only look once (YOLO) model
A fast, lightweight deep learning vision pipeline for autonomous UAV landing support with added robustness
Differential exponential entropy-based multilevel threshold selection methodology for colour satellite images using equilibrium-cuckoo search optimizer
Diffusion-based feature absorption approach for improving lightweight object detectors in adverse weather conditions
Test-time data augmentation: Improving predictions of recurrent neural network models of composites
A new deep learning method for meteorological drought estimation based-on standard precipitation evapotranspiration index
Ecology based network traffic control: A bee colony optimization approach
Particle swarm optimization with quantum infusion for system identification
A self-adaptive intelligence grey predictive model with alterable structure and its application
A prior segmentation knowledge enhanced deep learning system for the classification of tumors in ultrasound image
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine
Simplified syntax-guided domain-shared representation learning for cross-domain aspect-based sentiment analysis
Online cross session electromyographic hand gesture recognition using deep learning and transfer learning
Semi-supervised anomaly detection with contamination-resilience and incremental training
An efficient detector for detecting surface defects on cold-rolled steel strips
Analysis of computer communication networks based on evaluation of domination and double domination for interval-valued T-spherical fuzzy graphs and their applications in decision-making problems
Strategic tour operator selection in the tourism sector using a quantum picture fuzzy rough set-based multi-criteria decision-making approach
Fault diagnosis method for imbalanced data based on adaptive diffusion models and generative adversarial networks
Clothing semantic-driven progressive guidance learning for clothing-change person re-identification
A systematic review on vision-based gaze estimation: Advance in computer vision and deep learning
Application of soft computing models to hourly weather analysis in southern Saskatchewan, Canada
Navigating beyond the training set: A deep learning framework for inverse design of architected composite materials
Applying electronic contracting to the aerospace aftercare domain
An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy
Color reduction and estimation of the number of dominant colors by using a self-growing and self-organized neural gas
Demand response method considering multiple types of flexible loads in industrial parks
A priori compression of convolutional neural networks for wave simulators
Multiobjective memetic algorithms for time and space assembly line balancing
Sequential state estimation based target tracking algorithm for unmanned underwater vehicle target grasping
A hybrid GRASP-VNS for ship routing and scheduling problem with discretized time windows
LA-SPA: A new learning automata-based approach for the parking space selection and reservation
Joint task offloading and resource allocation for multi-user and multi-server MEC networks: A deep reinforcement learning approach with multi-branch architecture
Artificial intelligence techniques for small boats detection in radar clutter. Real data validation
Jekyll institute or Mrs Hyde? gender identification with machine learning
Noise-robust pipe wall-thinning discrimination system using convolution recurrent neural network model
Deep learning-based rebar detection for automated evaluation of concrete bridge decks using ground penetrating radar
Enhanced cross-domain lithology classification in imbalanced datasets using an unsupervised domain Adversarial Network
An efficient multi-task forest fire and smoke detection model
Plug-and-play fine grained neural cognitive diagnosis framework
Situation-aware composition and execution in dynamic environments by automated planning
Constraint based local search for flowshops with sequence-dependent setup times
VIO-DualProNet: Visual-inertial odometry with learning based process noise covariance
Adaptive dynamic CMAC neural control of nonlinear chaotic systems with L 2 tracking performance
A new selection strategy for selective cluster ensemble based on Diversity and Independency
Automatic tuning of radio stations based on listener's preference using Software Defined Radio and MATLAB
Explicit output-feedback nonlinear predictive control based on black-box models
Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms
Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks
SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
Unpacking predictive relationships in graphene oxide-reinforced cementitious nanocomposites: An explainable ensemble learning approach for augmented data
Probability forecasting for multivariate urban water demand using temporal convolutional network based on quantile regression and Parzen window
Sink placement on a 3D terrain for border surveillance in wireless sensor networks
Multisource-domain regression transfer learning framework for predicting student academic performance considering balanced similarity
Efficient Mahjong model using an improved distributed proximal policy optimization algorithm and Residual Residual Network-integrated Long Short-Term Memory network
PITS: An Intelligent Transportation System in pandemic times
Removal of cationic dyes from aqueous solutions using agricultural waste: Modeling the biosorption process with semantic Immune Plasma Programming
Detecting indicators of cognitive impairment via Graph Convolutional Networks
Feedback-Irrelevant Mapping: An evaluation method for decoupled few-shot classification
An intelligent decision support framework for nursing home resource planning with enhanced heterogeneous service demand modeling
Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams
A hybrid genetic-fuzzy ant colony optimization algorithm for automatic K-means clustering in urban global positioning system
Artificial intelligence techniques in product engineering
A Fermatean fuzzy Fine-Kinney for occupational risk evaluation using extensible MARCOS with prospect theory
Sparse Self-Represented Network Map: A fast representative-based clustering method for large dataset and data stream
A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection
Deep learning framework for acoustic eigenvalue analysis of a double cavity with a perforated partition
A review of machine learning for new generation smart dispatch in power systems
Long-term prediction of time series using fuzzy cognitive maps
Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation
Enhance multi-modal structured representations with open information extraction
Using a fuzzy credibility neural network to select nanomaterials for nanosensors
Risk prediction model for food safety based on improved random forest integrating virtual sample
An enhanced genetic algorithm with new operators for task scheduling in heterogeneous computing systems
Selecting after sales provider of complex product based on game and matching framework
Classification of animal species using efficient neuron attention stage-by-stage network
Representation of functional micro-knowledge cell (FMKC) for conceptual design
A multi-variable grey model with a self-memory component and its application on engineering prediction
PEABS: A Process for developing Efficient Agent-Based Simulators
Rethinking low-light knowledge for pedestrian detection in nighttime conditions
Detection of electrocardiographic changes in partial epileptic patients using Lyapunov exponents with multilayer perceptron neural networks
Attention-guided and fine-grained feature extraction from face images for gaze estimation
QFS-CNN for sub-synchronous oscillation source location based on dissipating energy flow
Cutting tool life prediction and extension through generative model-augmented deep learning and laser remanufacturing techniques
A computational intelligence algorithm for expensive engineering optimization problems
Reinforcement learning with multimodal advantage function for accurate advantage estimation in robot learning
Characterizing autonomic task distribution and handling in grids
Coevolutionary software multi-project scheduling with matrix management and online skill training
A proposal of edge detection in images with multiplicative noise using the Ant Colony System algorithm
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals
Retraction notice to "Applying case-based reasoning in social computing to transform colors into music" [Eng. Appl. Artif. Intell. 72 (2018) 1-9]
Balancing accuracy and efficiency: A lightweight deep learning model for COVID 19 detection
Text-based image retrieval system using semantic visual content for re-ranking
A hybrid particle swarm optimization algorithm for the vehicle routing problem
Selective Feature Bagging of one-class classifiers for novelty detection in high-dimensional data
Information systems outsourcing decisions using a group decision-making approach
Anomaly detection of train wheels utilizing short-time Fourier transform and unsupervised learning algorithms
On the equivalences and differences of evolutionary algorithms
Imitation-constrained evolutionary learning for multi-locomotion skill of bipedal wheeled robots in unstructured terrains
Color-aware fusion of nighttime infrared and visible images
Multi-layer additive tensor decomposition of infrared video for titanium alloy tensile testing
Robust facial expression recognition with Transformer Block Enhancement Module
SHDM-NET: Heat map detail guidance with image matting for industrial weld semantic segmentation network
Adaptive masked network for ultra-short-term photovoltaic forecast
Lazy reinforcement learning for real-time generation control of parallel cyber-physical-social energy systems
Occupancy grid based graph-SLAM using the distance transform, SURF features and SGD
Multilayer perceptron-based offspring prediction model for constrained multi-objective optimization
An agent-based signal processing in-node environment for real-time human activity monitoring based on wireless body sensor networks
Constraint processing
On retrieving intelligently plagiarized documents using semantic similarity
A comprehensive overview of smart wearables: The state of the art literature, recent advances, and future challenges
Novel virtual sample generation using conditional GAN for developing soft sensor with small data
Robot suction region prediction method from knowledge to learning in disordered manufacturing scenarios
Exploring a double task learning framework for makeup transfer
A fast and stable framework for generative adversarial imitation learning
New distance and similarity measures on hesitant fuzzy sets and their applications in multiple criteria decision making
An estimation method for multidimensional urban street walkability based on panoramic semantic segmentation and domain adaptation
Multiscale triplet spatial information fusion-based deep learning method to detect retinal pigment signs with fundus images
Process monitoring using recurrent Kalman variational auto-encoder for general complex dynamic processes
Electric vehicle charging and discharging scheduling strategy based on dynamic electricity price
Event-based low-power spiking gaze estimation
A sustainable and collaborative strategy for dynamic spectrum management in next generation wireless networks
Bi-objective optimization of flexible flow shop scheduling problem with multi-skilled human resources
Evaluating performance advantages of grouping genetic algorithms
On online high-dimensional spherical data clustering and feature selection
Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling
Dual-domain contrastive learning for three-dimensional multi-parametric magnetic resonance imaging to end-to-end predict kidney cancer subtypes
Polarization-based Camouflaged Object Detection with high-resolution adaptive fusion Network
Automatic part segmentation of facial anatomies using geometric deep learning toward a computer-aided facial rehabilitation
A novel projection nonparallel support vector machine for pattern classification
Predicting the compression index of expansive soils with hybrid machine learning approaches
Intuitionistic fuzzy Sugeno-Weber decision framework for sustainable digital security assessment
An ontology-supported database refurbishing technique and its application in mining actionable troubleshooting rules from real-life databases
Computer vision-based steel strand tension evaluation
Nonlinear and infinite gain scheduling neural predictive control of the outlet temperature in a parabolic trough solar field: A comparative study
Vertically invariant network for vertical and horizontal scene text recognition
Automated Schizophrenia detection using local descriptors with EEG signals
Suspicious human activity detection model via improved deep joint segmentation and hybrid model
High-temperature bond strength evaluation of concrete overlays with industrial by-products: Experimental and analytical approaches using machine learning
A self-prompt based dual-domain network for nighttime flare removal
Research on dynamic multi-level warning method for thermal runaway charging of electric vehicles
Recovery of linear components: Reduced complexity autoencoder designs
GPU parallel neural hierarchical multi objective solver for burst routing and wavelength assignment
Analyzing system reliability using conflicting bifuzzy failure rates of the components
Multi-hop question answering using sparse graphs
A new design of arithmetic and logic unit for enhancing the security of future internet of things devices using quantum-dot technology
ATCN-BiGRU: A hybrid deep learning framework based temporal convolutional network and stacked bidirectional gate recurrent units for traffic flow prediction in urban scenarios
The AUK: A simple alternative to the AUC
A multi-task learning model for recommendation based on fusion of dynamic and static neighbors
Introduction to the Special Issue on Mining the Humanities: Technologies and Applications
A fine-grained detection algorithm for identity and actions of weapon-holding targets in public safety
Two-stage deep learning-based video image recognition of early fires in heritage buildings
FastNet: A feature aggregation spatiotemporal network for predictive learning
A hybrid approach to outlier detection in the offset lithographic printing process
Composite resilient reliable control for nonlinear chaotic semi-Markov jump fuzzy systems with multi-source disturbances
Enhancing link prediction through adversarial training in deep Nonnegative Matrix Factorization
Traffic navigation via reinforcement learning with episodic-guided prioritized experience replay
An ontological knowledge-based method for handling feature model defects due to dead feature
Binary Aquila Optimizer for 0-1 knapsack problems
An autoregressive framework for reconstructing editable parametric computer-aided design models from point clouds
Genetic eigenhand selection for handshape classification based on compact hand extraction
Simplified and intelligent controllers for multi-input multi-output processes
Ensemble deep learning: A review
Evaluating sustainability of urban mobility of Asian cities: An integrated approach of interval type-2 fuzzy best-worst method and MULTIMOORA
Using reputation and adaptive coalitions to support collaboration in competitive environments
Scatter search based interactive multi-criteria optimization of fuzzy objectives for coal production planning
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Intelligent compound fault decoupling of rolling bearing based on parallel capsule network
A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting
Simulation of thermoelastic coupling in silicon single crystal growth based on alternate two-stage physics-informed neural network
Deep learning reconstruction with uncertainty estimation for γ photon interaction in fast scintillator detectors
An intelligent quality-based fusion method for complex-valued distributions using POWA operator
Remaining useful life estimation of bearing via temporal convolutional networks enhanced by a gated convolutional unit
An improved unified domain adversarial category-wise alignment network for unsupervised cross-domain sentiment classification
A novel multi-source heterogeneous data fusion based fault diagnosis framework for manufacturing processes
Robust digital watermarking in PDTDFB domain based on least squares support vector machine
Towards a heart disease diagnosing system based on force sensitive chair's measurement, biorthogonal wavelets and neural networks
Development of machine learning-based burst capacity models for pipelines containing dent-gouges with synthetic full-scale burst test data generated using tabular generative adversarial network
Precise step counting algorithm for pedestrians using ultra-low-cost foot-mounted accelerometer
ESIGCF: Extremely simplified but intent-enhanced graph collaborative filtering for recommendation
A data-aware explainable deep learning approach for next activity prediction
A lightweight and attention-enhanced framework for robust pavement defect detection
Adaptive non-parametric identification of dense areas using cell phone records for urban analysis
A design process of switched Ethernet architectures according to real-time application constraints
Spatial Frequency Guidance Network for real-time lung computed tomography image segmentation
Socio-political evaluation of renewable energy resources under uncertain environment