yusuke1997/dblp-id-title huggingface dataset:
Vision-based horizon detection for in-flight aircraft operations using fused DeepLab v3+ models with diverse backbone networks
Modelling of a magneto-rheological damper by evolving radial basis function networks
Empirical study of the modulus as activation function in computer vision applications
An outranking approach for multi-attribute group decision-making with interval-valued hesitant fuzzy information
Crossing points detection in plain weave for old paintings with deep learning
A control system of rail-guided vehicle assisted by transdifferentiation strategy of lower organisms
AdaBoost with SVM-based component classifiers
Internet of agriculture: Analyzing and predicting tractor ride comfort through supervised machine learning
Adapting bandit algorithms for settings with sequentially available arms
A new structure identification scheme for ANFIS and its application for the simulation of virtual air pollution monitoring stations in urban areas
gsaINknn: A GSA optimized, lattice computing knn classifier
Combining normalizing flows with decision trees for interpretable unsupervised outlier detection
Keystroke recognition in user authentication using ANN based RGB histogram technique
A biclustering-based method for market segmentation using customer pain points
A fixed-time sliding mode control for uncertain magnetic levitation systems with prescribed performance and anti-saturation input
Layered learning in a quadrotor drone: Simultaneous controlling and path planning using optimal fuzzy fractional order proportional integral derivative and proximal policy optimization
A novel failure mode and effect analysis method using a flexible knowledge acquisition framework based on picture fuzzy sets
Autonomous collaborative optimization control of earth pressure balance shield machine based on hierarchical control architecture
Data-augmented prediction of laser shock peening residual stress fields via attention-integrated generative adversarial networks
Unsupervised node representation learning of pure graph via symmetric cumulative sampling strategy
Dynamic graphs attention for ocean variable forecasting
Analysis of the impact of traffic density on training of reinforcement learning based conflict resolution methods for drones
A fine-tuning framework based on question, context, and answer relationships for enhancing legal information retrieval
A critical review of bench aggregation and mining cut clustering techniques based on optimization and artificial intelligence to enhance the open-pit mine planning
Hybrid evolutionary algorithm for microscrew thread parameter estimation
Meteorological data layout and task scheduling in a multi-cloud environment
A tutorial-based survey on feature selection: Recent advancements on feature selection
Refined self-attention mechanism based real-time structural response prediction method under seismic action
A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder
Novel q-Rung Orthopair Fuzzy distance based similarity measure and score function in real life decision making
A feature enhanced RetinaNet-based for instance-level ship recognition
A Point-Voxel Transformer for point cloud object detection with spatial and channel attention
An automatic complex event processing rules generation system for the recognition of real-time IoT attack patterns
Assessing and classifying risk of pipeline third-party interference based on fault tree and SOM
Multi-objective mix optimization of geopolymer recycled aggregate concrete using prior knowledge embedded neural network and evolutionary algorithm
A force neural network framework for structural optimization
A novel approach of causality matrix embedded into the Graph Neural Network for forecasting the price of Bitcoin
A genetic algorithm approach for a single hoist scheduling problem with time windows constraints
CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains
Multi-objective optimization of additive manufacturing process parameters of nitinol alloys for elastocaloric cooling
A wearable knee rehabilitation system based on graphene textile composite sensor: Implementation and validation
Integrating blockchain and machine learning for secure energy transactions in smart grids
Application of cascaded neural network for prediction of voltage stability margin in a solar and wind integrated power system
Some applications in decision-making using cosine maps and the relevance of the Pythagorean fuzzy
Instance labeling in semi-supervised learning with meaning values of words
Enhancing vision-and-language transformers through two-stage generative alignment pre-training
Translating image into labels: End-to-End and scalable multi-label image classifier with language transformer
Automated system for cattle classification using keypoint detection and coupled applications of neural networks and type-3 fuzzy sets
Entropy based Binary Particle Swarm Optimization and classification for ear detection
Translating bus information into sign language for deaf people
LACN: A lightweight attention-guided ConvNeXt network for low-light image enhancement
Multi-product sequencing and lot-sizing under uncertainties: A memetic algorithm
A knowledge-refined hybrid graph model for quality prediction of industrial processes
Machine learning-based estimation of the out-of-plane displacement of brick infill exposed to earthquake shaking
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
Dual-view hypergraph attention network for news recommendation
Ventilation on demand in underground mines using neuro-fuzzy models: Modeling and laboratory-scale experimental validation
ART-LSTANet: An adaptive intelligent method for wind turbine wake analysis
Industry 4.0: A bibliometric analysis and detailed overview
Thermal parameter inversion of low-heat cement concrete for Baihetan arch dam
Artificial intelligence with transformer neural network driven analysis of electronic health records for clinical insights on symptom based disease prediction
Adaptive-critic-based hybrid intelligent optimal tracking for a class of nonlinear discrete-time systems
Optimizing human action recognition based on a cooperative coevolutionary algorithm
Lazy FSCA for unsupervised variable selection
Recent survey on crowd density estimation and counting for visual surveillance
A spherical fuzzy methodology integrating maximizing deviation and TOPSIS methods
Research on public opinion sentiment classification based on attention parallel dual-channel deep learning hybrid model
Sentence-level emotion mining based on combination of adaptive Meta-level features and sentence syntactic features
Semi-supervised support vector regression based on data similarity and its application to rock-mechanics parameters estimation
Modeling energy efficiency in industrial plants: A novel diagnostic approach
Deep reinforcement learning for the rapid on-demand design of mechanical metamaterials with targeted nonlinear deformation responses
Spectral coefficient learning via operator networks for inverse problems of parametric partial differential equations
Determining the fault status of a component and its readiness, with a distributed automotive application
Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach
A bi-level distribution mixture framework for unsupervised driving performance evaluation from naturalistic truck driving data
Application of Quantum Particle Swarm Optimization for task scheduling in Device-Edge-Cloud Cooperative Computing
Light-field image watermarking based on geranion polar harmonic Fourier moments
Time domain single-phase reclosure scheme for transmission lines based on dual-Gaussian mixture models
Translating regulatory clauses into executable codes for building design checking via large language model driven function matching and composing
Modeling the impact of large language models on opinion dynamics: A simulation-based study
Demand management of plug-in electric vehicle charging station considering bidirectional power flow using deep reinforcement learning
A deep neural network-based model for OSA severity classification using unsegmented peripheral oxygen saturation signals
Multi-degree-of-freedom unmanned aerial vehicle control combining a hybrid brain-computer interface and visual obstacle avoidance
An artificial intelligence-powered design strategy for offshore wind turbine monopiles
Using visual features to design a content-based image retrieval method optimized by particle swarm optimization algorithm
Multi-strategy adaptive particle swarm optimization for numerical optimization
Adioc loss: An Auxiliary descent IoC loss function
NORMO: A new method for estimating the number of components in CP tensor decomposition
ElHealth: Using Internet of Things and data prediction for elastic management of human resources in smart hospitals
Learning discriminative representations by a Canonical Correlation Analysis-based Siamese Network for offline signature verification
Automated guided vehicles fleet match-up scheduling with production flow constraints
On a two-stage progressive clustering algorithm with graph-augmented density peak clustering
Residual generative adversarial network-driven Data enhancement for magnetic flux leakage-based defect recognition in oil and gas pipelines
A quantitative assessment of key drivers for the adoption of neuro-fuzzy systems for sustainable development
Injury severity prediction and exploration of behavior-cause relationships in automotive crashes using natural language processing and extreme gradient boosting
A multi-agent system for distribution grid congestion management with electric vehicles
More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine
A unified multi-task model for leaf disease region detection and segmentation
Evolutionary identification of hidden chaotic attractors
Sentiment and attention of the Chinese public toward electric vehicles: A big data analytics approach
Physics-informed graph neural networks accelerating microneedle simulations towards novelty of micro-nano scale materials discovery
Mechanical properties prediction of Bi-metal foam sandwiches using machine learning methods and elastic deformation behaviour
JCLEC-MO: A Java suite for solving many-objective optimization engineering problems
A proposal for fall-risk detection of hospitalized patients from wireless channel state information using Internet of Things devices
Combinatorial search for selecting the structure of models of dynamical systems with equation discovery
A hybrid particle swarm optimization with crisscross learning strategy
Handling data heterogeneity for wind turbine fault diagnosis via dynamic ensemble multilevel interactive learning
Factors analysis of commercial bank digital transformation with random neural network algorithm
Advancing explainability of adversarial trained Convolutional Neural Networks for robust engineering applications
Two-level and hybrid ensembles of decision trees for high performance concrete compressive strength prediction
An improved density peaks clustering algorithm based on the generalized neighbors similarity
Robust optimization for a class of ship traffic scheduling problem with uncertain arrival and departure times
A simulated annealing approach to speaker segmentation in audio databases
Chaotic heterogeneous comprehensive learning PSO method for size and shape optimization of structures
Searching natural neighbors in an accelerated way
A new solving function optimization problems methods - Resonance Algorithm
A data-driven model for sustainable and resilient supplier selection and order allocation problem in a responsive supply chain: A case study of healthcare system
Linguistic q-rung orthopair fuzzy Z-number and its application in multi-criteria decision-making
Using a Probabilistic Neural Network for lip-based biometric verification
STP-Model: A semi-supervised framework with self-supervised learning capabilities for downhole fault diagnosis in sucker rod pumping systems
Modeling NO x emissions from coal-fired utility boilers using support vector regression with ant colony optimization
An explainable artificial intelligence based approach for the prediction of key performance indicators for 1 megawatt solar plant under local steppe climate conditions
Catching spinning table tennis balls in simulation with end-to-end Curriculum Reinforcement Learning
Protocol engineering for web services conversations
Interpolation Mesh-Graph Net using disconnected spatial graphs of higher order element based meshes
Smart mobile robot fleet management based on hierarchical multi-agent deep Q network towards intelligent manufacturing
Cross-domain facial expression recognition based on adversarial attack fine-tuning learning
An effective failure detection method for microservice-based systems using distributed tracing data
An effective memetic algorithm for the generalized bike-sharing rebalancing problem
Inferable dynamic Markov model to predict interference effects
Optimizing TOC and IOC units of directional overcurrent relays in mutually coupled circuits using evolutionary PSO: Requirements and modeling
Cluster-Aggregated Transformer: Enhancing lightweight parameter models
Data-driven tracking control design with reinforcement learning involving a wastewater treatment application
Frequency matching optimization model of ultrasonic scalpel transducer based on neural network and reinforcement learning
Reverse twin plant for efficient diagnosability testing and optimizing
Physics-informed neural networks for mesh deformation with exact boundary enforcement
Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system
PDI-HFP: An intelligent method for heat flux prediction on hypersonic aircraft based on projection depth images
A novel federated deep learning for intrusion detection in smart grid cyber-physical systems
Exploring the evolution of machine scheduling through a computational approach
MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center
Image feature selection using genetic programming for figure-ground segmentation
Offshore wind farm layout optimization regarding wake effects and electrical losses
Δ-PINNs: Physics-informed neural networks on complex geometries
A parallel matrix factorization based recommender by alternating stochastic gradient decent
A novel Brownian bridge diffusion-based generative inpainting algorithm for ancient murals
An intrusion detection system for critical infrastructures: Modbus approach
Probabilistic logical approach for testing diagnosability of stochastic discrete event systems
Some soft ideal spaces via infinite games
A comparative study of heuristic algorithms: GA and UMDA in spatially multiplexed communication systems
Pythagorean fuzzy quasi coincidence: Analysis and applications
A domain adaptation method to Defend Chinese textual adversarial attacks via prompt-tuning
Day ahead carbon emission forecasting of the regional National Electricity Market using machine learning methods
Cross-resolution person re-identification based on double-layer graph convolution network
Balanced incremental deep reinforcement learning based on variational autoencoder data augmentation for customer credit scoring
Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals
A decision support system for robust humanitarian facility location
A novel combined method for conveyor belt deviation discrimination under complex operational scenarios
Dynamic vision-based machine vibration sensing and fault diagnosis with signal alignment and feature clustering
Reference-based image super-resolution of hyperspectral and red-green-blue image for determination of wheat kernel quality using deep learning networks
An automated signalized junction controller that learns strategies from a human expert
Adapting pedestrian detectors to new domains: A comprehensive review
A survey on Flickr multimedia research challenges
Learning scalable multi-agent coordination by spatial differentiation for traffic signal control
Hybrid control of a pneumatic artificial muscle (PAM) robot arm using an inverse NARX fuzzy model
Convolutional sparse filter with data and mechanism fusion: A few-shot fault diagnosis method for power transformer
A lightweight detection model for green navel oranges in natural environments
Robust traffic sign detection in real-world harsh conditions: A pioneering benchmark dataset and attention-based methodology
Evolutionary fuzzy hybrid neural network for project cash flow control
Optimization of modular granular neural networks using a firefly algorithm for human recognition
Research on hull form optimization at multiple speeds based on machine learning and ship model experiments
Optimizing agricultural order fulfillment systems: A hybrid tree search approach
Fuzzy scheduling in distributed heterogeneous printed circuit board assembly lines: Feedback assisted neighborhood-based search coupling with rapid evaluations
Bi-stage multi-modal 3D instance segmentation method for production workshop scene
Prediction of hydrocarbon adsorption-desorption dynamics in activated carbon columns using long short-term memory networks for intelligent removal systems
Neural networks-based framework for recognizing streaming patterns in magnetized Maxwell-Oldroyd-B blood blended with tetra-hybrid nanoparticles and microbes over stenosis in an elastic artery
Attention Guided Class Activation Maps for Boosting Weakly Supervised Semantic Segmentation
Hard constraint learning approaches with trainable influence functions for evolutionary equations
Swarm intelligence for clustering - A systematic review with new perspectives on data mining
Parallel crosschecking neural network based fault-tolerant flight parameter estimation and faulty sensor identification
A large-scale mobile application knowledge graph for the research of cybersecurity: Construction and application
Safe and reliable navigation in crowded unstructured pedestrian areas
Improving the effectiveness of keyword search in databases using query logs
Crucial rather than random: Attacking crucial substructure for backdoor attacks on graph neural networks
A new deep learning framework for intelligent aerial monitoring of power transmission line insulators
Optimizing quadratic programming problems with intuitionistic fuzzy parameters using a neural network
Visual clustering network-based intelligent power lines inspection system
Proof of concept simulator demonstration of a physics based self-preserving flight envelope protection algorithm
Machine tool positioning error compensation using artificial neural networks
Disturbance-observer based prescribed-performance fuzzy sliding mode control for PMSM in electric vehicles
The state-of-the-art in expert recommendation systems
Guided restarting local search for production planning
Generating and encouraging: An effective framework for solving class imbalance in multimodal emotion recognition conversation
A boundary-fixed negative selection algorithm with online adaptive learning under small samples for anomaly detection
Back-propagation neural network for the prediction of the short-term storm surge in Taichung harbor, Taiwan
SARS-CoV-2 virus variant detection and mortality prediction through symptom analysis using machine learning
Boosting industrial anomaly detection performance using generated artificial fault data
Explicitly learning augmentation invariance for image classification by Consistent Augmentation
Soft actor-critic DRL algorithm for interval optimal dispatch of integrated energy systems with uncertainty in demand response and renewable energy
Progressive epipolar geometry for robust light field super-resolution
An intelligent web-page classifier with fair feature-subset selection
Cyclic translations between pathomics and genomics improve automatic cancer diagnosis from whole slide images
Detecting, locating and recognising human touches in social robots with contact microphones
Wavelet entropy and neural network for text-independent speaker identification
Small object detection in unmanned aerial vehicle images using multi-scale hybrid attention
Multimodal feature fusion for human activity recognition using human centric temporal transformer
An enhanced scatter search with combined opposition-based learning for parameter estimation in large-scale kinetic models of biochemical systems
High average-utility itemset mining with multiple minimum utility threshold: A generalized approach
CTRAN: CNN-Transformer-based network for natural language understanding
Improving devices communication in Industry 4.0 wireless networks
Outranking-based failure mode and effects analysis considering interactions between risk factors and its application to food cold chain management
Winner determination for logistics service procurement auctions under disruption risks and quantity discounts
Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis
Building typology classification using convolutional neural networks utilizing multiple ground-level image process for city-scale rapid seismic vulnerability assessment
Interval type-2 fuzzy logic based transmission power allocation strategy for lifetime maximization of WSNs
Multi-dimensional feature fusion network design and performance optimisation for small target detection
Deep Forest with SHapley additive explanations on detailed risky driving behavior data for freeway crash risk prediction
Forecasting of volumetric flow rate of Ergene river using machine learning
Open-vocabulary object detection via Neighboring Region Attention Alignment
Parallel segmentation network for real-time semantic segmentation
Dynamic flame feature-driven prediction model for basic oxygen furnace steelmaking endpoint carbon content based on three-dimensional multi-layer complex networks
Identification of Martian minerals based on multiscale spatial-spectral fusion network
An indexed set representation based multi-objective evolutionary approach for mining diversified top-k high utility patterns
Spatial dependency learning for image-based anomaly detection in engine combustion
A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
GMDH-based networks for intelligent intrusion detection
Fault detection system for paper cup machine based on real-time image processing
Enhanced facial image essence transfer via semantic guidance
Parametric modelling approach using bacterial foraging algorithms for modelling of flexible manipulator systems
The explosion operation of fireworks algorithm boosts the coral reef optimization for multimodal medical image registration
Uncertain T-S model-based robust controller design with D-stability constraints - A simulation study of quadrotor attitude stabilization
Mamba-360: Survey of state space models as transformer alternative for long sequence modelling: Methods, Applications, and Challenges
From ensemble to knowledge distillation: Improving large-scale food recognition
KGCL: A Knowledge-enhanced Graph Contrastive learning framework for session-based recommendation
A novel similarity measure in intuitionistic fuzzy sets and its applications
An improved Manta ray foraging optimizer for cost-effective emission dispatch problems
Acoustic localization approach for urban water distribution networks using machine learning method
Fault diagnosis via multi-sensor fusion with auxiliary contrastive learning and phased fine-tuning
A novel short-term prediction method for distributed photovoltaic power generation considering extreme weather
Degradation-based predictive energy management for intelligent fuel cell hybrid electric vehicles with a novel deep reinforcement learning architecture
Hierarchical concept Bottleneck models for vision and their application to explainable fine classification and tracking