yusuke1997/dblp-id-title huggingface dataset:
Overview of fault prognosis for traction systems in high-speed trains: A deep learning perspective
An efficient truthfulness privacy-preserving tendering framework for vehicular fog computing
Interval adaptive multi-objective optimization of the proton exchange membrane fuel cell system considering parameter perturbation
Malicious detection and trust calculation using residual recurrent neural network for trust with quality of service-aware multicast routing in mobile ad-hoc network system
Enhancing financial time series forecasting in the shipping market: A hybrid approach with Light Gradient Boosting Machine
Multiple adaptive over-sampling for imbalanced data evidential classification
Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks
Power flow analysis via typed graph neural networks
Crack Segmentation Network using Additive Attention Gate - CSN-II
Theoretical investigations on the purification of petroleum using catalytic hydrodesulfurization process: AI Optimization of SO2 emission and process cost
A real-time large language model framework with attention and embedding representations for misinformation detection
WFC-BSN: Wavelet fusion-based conditional blind-spot network for self-supervised forward sonar denoising
A direct adaptive neural command controller design for an unstable helicopter
Mask-guided dual-perception generative adversarial network for synthesizing complex maize diseased leaves to augment datasets
A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time
Honey bee social foraging algorithms for resource allocation: Theory and application
PlaceNet: A multi-scale semantic-aware model for visual loop closure detection
Progressive self-supervised framework for anomaly detection in hyperspectral images
EFR-ACENet: Small object detection for remote sensing images based on explicit feature reconstruction and adaptive context enhancement
Learning the Pseudo Two Dimensional model for lithium-ion batteries with State of Health detection
Transformer architecture with illumination aware mechanisms for low-light image enhancement via Retinex decomposition
Transfer learning from building information model-based synthetic data for three-dimensional module detection in point clouds of modular-integrated construction hoisting
Covariance Attention Guidance Mamba Hashing for cross-modal retrieval
Fair classification via Monte Carlo policy gradient method
Deep Content and Contrastive Perception learning for automatic fetal nuchal translucency image quality assessment
A study of constraint programming heuristics for the car-sequencing problem
Text-guided Graph Temporal Modeling for few-shot video classification
Evolving Fuzzy logic Systems for creative personalized Socially Assistive Robots
A novel reconstruction method for displacement missing data of arch dam via hierarchical clustering and deep learning
Partial convolution-simple attention mechanism-SegFormer: An accurate and robust model for landslide identification
A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement
Transforming norm-based to graph-based spatial representation for spatio-temporal epidemiological models
Prognosticating fabric-reinforced cementitious matrix-to-masonry bond and failure mechanisms using novel tabular variational autoencoder-augmented probabilistic model
Efficient Meta label correction based on Meta Learning and bi-level optimization
Integrated learning self-triggered control for model-free continuous-time systems with convergence guarantees
Path planning of multiple UAVs with online changing tasks by an ORPFOA algorithm
Joint image enhancement learning for marine object detection in natural scene
M3SPCANet: A simple and effective ConvNets with unsupervised predefined filters for face recognition
Application of extreme learning machine for series compensated transmission line protection
Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task
Multi objective particle swarm optimization algorithm for the design of efficient ATO speed profiles in metro lines
A new spatiotemporal long-term prediction method for Continuous Annealing Processes
Knowledge alignment based on category-attributes for blood cell classification
Machine-learning paradigms for selecting ecologically significant input variables
A novel lightweight semantic segmentation network for line-structured light measurement under strong reflection noise
Particle swarm optimization with dual-level task allocation
Time-segment-wise feature fusion transformer for multi-modal fault diagnosis
Large coordinate attention network for lightweight image super-resolution
Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems
Explainable artificial intelligence models in intrusion detection systems
Graph relationship-driven label coded mapping and compensation for multi-label textile fiber recognition
Surface classification enhancement using estimated power consumption data
A two-stage online remaining useful life prediction framework for supercapacitors based on the fusion of deep learning network and state estimation algorithm
Evaluating the reliability of microgrids consisting of renewable energy sources using stochastic scheduling based on the data-driven uncertainty set
Development of optimized ensemble machine learning-based character segmentation framework for ancient Tamil palm leaf manuscripts
Keras2c: A library for converting Keras neural networks to real-time compatible C
Assessing plausibility of explanation and meta-explanation in inter-human conflicts
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach
Design of 1-D and 2-D recursive filters using crossover bacterial foraging and Cuckoo search techniques
Extract conceptual graphs from plain texts in patent claims
Monitoring industrial control systems via spatio-temporal graph neural networks
Robust residual convolutional neural network based pupil tracking for low-computational power applications
Three-dimensional-grounded vision-language framework for robotic task planning: Automated prompt synthesis and supervised reasoning
A cost-effective nash-based allocation method for task distribution of multiple robots in distributed robotic networks
Corrigendum to "Research on fake news detection based on dual evidence perception" [Eng. Appl. Artif. Intell. 133 (2024) 108271]
Relation mapping based on higher-order graph convolutional network for entity alignment
Convolutional neural network-attention-gate recurrent unit-attention hybrid framework for spindle thermal error modeling with joint feature analysis under complex variable speed conditions
A hierarchical partially observable Markov decision process framework for tunnel boring machine trajectory navigation
Application of artificial neural networks to model macroscopic spray characteristics of alcohol fuels
Improving cell localization with attention-guided diffusion models
A comprehensive review on paraconsistent annotated evidential logic: Algorithms, Applications, and Perspectives
Event-triggered neuro-optimal fault tolerant control for uncertain macro-micro composite stage system with actuator faults
A new compromise solution method for fuzzy group decision-making problems with an application to the contractor selection
Stability analysis of a homogeneous rock slope under steady-state seepage using artificial neural networks
Parameter identification for nonlinear Hammerstein models with stacked sparse autoencoder network
Probabilistic commodity price projections for unbiased techno-economic analyses
Complex linear Diophantine fuzzy sets and their applications in multi-attribute decision making
An obstacle avoidance-specific reinforcement learning method based on fuzzy attention mechanism and heterogeneous graph neural networks
Copy-move forgery detection based on hybrid features
A lossless DEM compression for fast retrieval method using fuzzy clustering and MANFIS neural network
Elevating efficiency: Field-Programmable Gate Array Powered Acceleration of MobileNet V1 with patchwise innovation, double buffering, and Singular Value Decomposition Optimization
Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence
Automatic detection of erythemato-squamous diseases using PSO-SVM based on association rules
An adaptive switchover hybrid particle swarm optimization algorithm with local search strategy for constrained optimization problems
Similarity propagation based semi-supervised entity alignment
Multi objective optimization of detailed building models with Typical Short Sequences considering sequential and adaptive methods
Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model
A physics-informed neural network for nonlinear deflection prediction of Ionic Polymer-Metal Composite based on Kolmogorov-Arnold networks
A deeper generative adversarial network for grooved cement concrete pavement crack detection
Decimal place separable complex convolutional neural network for wideband beamforming
Simple heuristics-based selection of guides for multi-objective PSO with an application to electrical distribution system planning
A Semantic-based Intellectual Property Management System (SIPMS) for supporting patent analysis
Automatic evaluation of eye gestural reactions to sound in video sequences
A sketch semantic segmentation method based on point-segment level interaction
Suspicious news detection through semantic and sentiment measures
Federated learning-based vertebral body segmentation
Industrial system knowledge formalization to aid decision making in maintenance strategies assessment
A knowledge-based architecture for distributed fault analysis in power networks
Attention-enhanced multi-source cost volume multi-view stereo
Fuzzy reasoning method based on picture similarity measure and its application in medical diagnosis
Exploring the power of photoplethysmogram matrix for atrial fibrillation detection with integrated explainability
A multi-head attention-based bidirectional gated recurrent unit and multilayer perceptron for relation extraction model
Blended biogeography-based optimization for constrained optimization
3Dana: A path planning algorithm for surface robotics
AGCVT-prompt for sentiment classification: Automatically generating chain of thought and verbalizer in prompt learning
Predicting postural risk level with computer vision and machine learning on multiple sources of images
A lightweight model based on you only look once for pomegranate before fruit thinning in complex environment
Sparse temporal aware capsule network for robust speech emotion recognition
A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges
Enhancing fundus image diabetic retinopathy classification through modified conformer with sparse attention
Analysing effectiveness of grey theory-based feature selection for meteorological estimation models
Early warning of tunnel collapse based on Adam-optimised long short-term memory network and TBM operation parameters
WaveST-Mamba: A joint framework of wavelet transform with Mamba for stable and fluctuating patterns in spatio-temporal weather forecasting
Multi-modal dataset and fusion network for simultaneous semantic segmentation of on-road dynamic objects
Improvement of multi-objective evolutionary algorithm and optimization of mechanical bearing
An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering
A hybrid metaheuristic with learning for a real supply chain scheduling problem
A CSP approach for the network of product lifecycle constraints consistency in a collaborative design context
Large-scale multimodal model based embodied intelligent robots: A survey
A comprehensive review of synthetic data generation in smart farming by using variational autoencoder and generative adversarial network
Multi-objective immune genetic algorithm solving nonlinear interval-valued programming
A complex belief χ2 divergence in complex evidence theory and its application for pattern classification
A dual contrastive learning with auxiliary supervision for community detection
Multimodal data fusion-based intelligent fault diagnosis for ship rotating machinery: Status quo and perspectives
Multilayer perceptron for simulation models reduction: Application to a sawmill workshop
An adaptive few-shot fault diagnosis method based on virtual samples generated by fault characteristics of rotating machines
Text feature-based copyright recognition method for comics
LinearMerge: Efficient computation of minimal hitting sets for conflict sets in a linear structure
Comprehensive performance evaluation of valuable medical equipment based on cloud modelling and combined weighting methodologies
LOT: An industrial oriented ontology engineering framework
Automated monitoring of Mycobacterium population growth in time-lapse microscopy with Deep Learning pseudo-supervised algorithm
A systematic model of stable multilateral automated negotiation in e-market environment
A Lightweight guided and shared feature fusion model for aircraft skin defect detection
Deep Deterministic Policy Gradient and Active Disturbance Rejection Controller based coordinated control for gearshift manipulator of driving robot
An online learning-driven fuzzy dynamic risk response decision model for manufacturing supply chain digital transformation projects
A Chinese medical named entity recognition method considering length diversity of entities
Relational dynamic Bayesian network modeling for uncertainty quantification and propagation in airline disruption management
Adaptive typhoon cloud image enhancement using genetic algorithm and non-linear gain operation in undecimated wavelet domain
A misbehavior detection system to detect novel position falsification attacks in the Internet of Vehicles
A multiagent architecture for Industrial Internet of Things safety applications
Artificial intelligence driven laser parameter search: Inverse design of photonic surfaces using greedy surrogate-based optimization
Agent-oriented design of human-computer interface: application to supervision of an urban transport network
Design of intelligent PID/PI λ D μ speed controller for chopper fed DC motor drive using opposition based artificial bee colony algorithm
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0
uitPDF-MalDe: Malicious Portable Document Format files detection using multi machine learning models
A method of abnormal habits recognition in intelligent space
Decision-making model of machine tool remanufacturing alternatives based on dual interval rough number clouds
Using modified term frequency to improve term weighting for text classification
A neural network-based vertical federated learning framework with server integration
Managing Internet routers congested links with a Kohonen-RED queue
A propagation-based ranking semantics in Explainable Bipolar Weighted Argumentation
Design of high performance and energy efficient convolution array for convolution neural network-based image inference engine
Maximum 3D Tsallis entropy based multilevel thresholding of brain MR image using attacking Manta Ray foraging optimization
An ultra-efficient edge-based wearable system for real-time and remote blood pressure monitoring
Attention-based LSTM network-assisted time series forecasting models for petroleum production
Reinforcement learning based multi-perspective motion planning of manned electric vertical take-off and landing vehicle in urban environment with wind fields
Exploring eWOM in online customer reviews: Sentiment analysis at a fine-grained level
Combining density peaks clustering and gravitational search method to enhance data clustering
Dual path communications over multiple spanning trees for networked control systems
Sentimental analysis & Hate speech detection on English and German text collected from social media platforms using optimal feature extraction and hybrid diagonal gated recurrent neural network
A quality function deployment model by social network and group decision making: Application to product design of e-commerce platforms
Robust support vector data description for novelty detection with contaminated data
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization
Multi-objective genetic algorithms: A way to improve the convergence rate
A new method for the coordinated design of power system damping controllers
Full autonomy in underwater robotics systems: A realistic prospect?
A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation
Dynamic artist-based embeddings with application to playlist generation
Image semantic segmentation approach based on DeepLabV3 plus network with an attention mechanism
A hybrid feature selection scheme for high-dimensional data
Measuring similarity based on user activeness in recommender systems to improve algorithm scalability
Zero-faulty sample machinery fault detection via relation network with out-of-distribution data augmentation
Artificial intelligent systems for vehicle classification: A survey
Unmanned Aerial Vehicle-enabled grassland restoration with energy-sensitive of trajectory design and restoration areas allocation via a cooperative memetic algorithm
A novel bone marrow cell recognition method based on multi-scale information and reject option
Learning and focusing strategies to improve ACO that solves CSP
Deep reinforcement learning based planning method in state space for lunar rovers
Lightweight face mask detection algorithm with attention mechanism
Affinity matrix with large eigenvalue gap for graph-based subspace clustering and semi-supervised classification
Template-based Feature Aggregation Network for industrial anomaly detection
Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents
Exploiting the self-organizing financial stability map
A neural network model-based observer for idle speed control of ignition in SI engine
Robust language independent voice data driven Parkinson's disease detection
Integrating the 2-tuple linguistic representation and soft set to solve supplier selection problems with incomplete information
Spatial-frequency feature fusion based deepfake detection through knowledge distillation
Identification-based controller design using cloud model for course-keeping of ships in waves
Data augmentation guided breast tumor segmentation based on generative adversarial neural networks
Support vector machines for detection of electrocardiographic changes in partial epileptic patients
A survey of visual navigation: From geometry to embodied AI
Fuzzy transition probability: a new method for monitoring progressive faults. Part 1: the theory
The selection of appropriate Ro-Ro Vessel in the second-hand market using the WASPAS' Bonferroni approach in type 2 neutrosophic fuzzy environment
Multiple Universum Empirical Kernel Learning
Reducing overestimation with attentional multi-agent twin delayed deep deterministic policy gradient
Recent advances in flotation froth image analysis via deep learning
Towards real-time adaptive prediction of rotary kiln processes: An enhanced framework combining parallel temporal convolution and long short-term memory networks
Ant colony optimization for dynamic routing and wavelength assignment in WDM networks with sparse wavelength conversion
A novel maximum power point tracking approach based on fuzzy logic control and optimizable Gaussian Process Regression for solar systems under complex environment conditions
DE+RBFNs based classification: A special attention to removal of inconsistency and irrelevant features
Continuous reinforcement learning via advantage value difference reward shaping: A proximal policy optimization perspective
Fully logits guided distillation with intermediate decision learning for deep model compression
Interval type-3 fuzzy fractal approach in sound speaker quality control evaluation
Scene text image super-resolution with semantic-aware interaction
Adaptive learning of human motor behaviors: An evolving inverse optimal control approach
An experimental validation of a novel clustering approach to PWARX identification
Resource-efficient automatic software vulnerability assessment via knowledge distillation and particle swarm optimization
High-performance remaining useful life prediction for aeroengine based on combining health states and trajectory similarity
A non-destructive automatic pavement damage detection scheme based on end-to-end neural networks with multi-level attention mechanism
Incremental self-supervised learning based on transformer for anomaly detection and localization
A fault diagnosis method for hydraulic system based on multi-branch neural networks
Hybrid partial-constrained learning with orthogonality regularization for unsupervised person re-identification
Learning to plan efficient robot paths via advantage-shaped reward in dynamic environment
Ship anomalous behavior detection based on interval prediction of multiple vessel trajectories
Inexact two-phase fuzzy programming and its application to municipal solid waste management
Fuzzy control of a neutralization process
On the combination of locally optimal pairwise classifiers
Tracking-recommendation-detection: A novel online target modeling for visual tracking
An integrated outranking approach for selecting the best waste water treatment process with spherical fuzzy rough numbers
Entropy based designing and analysis of a compact single layer double negative metamaterial with oblique incidents
Open-set pedestrian identification via transformer-based neural architecture with extreme value theory
A dynamic spectrum management strategy based on cooperative bargaining framework
Image-enhanced generative model for industrial scanning acoustic super-resolution in non-destructive testing
Category knowledge-guided few-shot bearing fault diagnosis
Solving dynamic multi-objective optimization problem of immersed tunnel elements via multi-source evolutionary information clustering method
Introduction to the algebra of separators with application to path planning
The hybrid velocity prediction model for pipeline detection based on bidirectional long short-term memory and an improved attention mechanism
An end-to-end autonomous learning approach for waterway images analysis of inland river
An intelligent hybrid system for surface coal mine safety analysis
Dynamical systems identification using Gaussian process models with incorporated local models
A reliable degradation prediction method for proton exchange membrane fuel cells based on uncertainty Bayesian self-attention
Research on predictive modeling method of loader working resistance in a sensor-less environment
Cryptanalysis of an EPC Class-1 Generation-2 standard compliant authentication protocol
Multi-objective optimization and analysis for the design space exploration of analog circuits and solar cells
Deep replacement: Reinforcement learning based constellation management and autonomous replacement
A multi-point combined prediction model for deformation monitoring of concrete dams
Multi-scale distance similarity entropy: A novel complexity measurement for gearbox fault diagnosis
Exploring fractional Bullen-type inequalities via second-derivative bounds and artificial neural networks
A three-stage adaptive memetic algorithm for multi-objective optimization of flexible assembly job-shop scheduling problem
Synchronization of uncertain chaotic systems based on adaptive type-2 fuzzy sliding mode control
Contrast-enhanced heterogeneous multi-view graph for session-based recommendation via subsequence units
A population-based iterated greedy algorithm for no-wait job shop scheduling with total flow time criterion
An explainable deep learning model for mulberry leaf classification and disease detection