yusuke1997/dblp-id-title huggingface dataset:
A review of wearable sensors based fall-related recognition systems
A deep-learning approach for predicting water absorption in composite pipes by extracting the material's dielectric features
Mixed form based physics-informed neural networks for performance evaluation of two-phase random materials
Air filter particulate loading detection using smartphone audio and optimized ensemble classification
Choquet integral-based method for optimal selection of industrial wastewater management systems using linguistic interval-valued T-spherical fuzzy sets
AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data
Learning asymmetric encryption using adversarial neural networks
Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Enhancement of apple defect identification with semantic segmentation and label-efficient data generation
NHACR: A novel heuristic approach for 2D rectangle packing area minimization problem with central rectangle
Mining graph-based dynamic relationships for object detection
A global interactive attention-based lightweight denoising network for locating internal defects of CFRP laminates
A modified particle swarm optimization for economic dispatch with non-smooth cost functions
Coverage path planning of bridge inspection with Unmanned aerial vehicle
Neural architecture search algorithm to optimize deep Transformer model for fault detection in electrical power distribution systems
An on-line weighted ensemble of regressor models to handle concept drifts
A real-time mechanical fault diagnosis approach based on lightweight architecture search considering industrial edge deployments
Dynamic context-aware high-resolution network for semi-supervised semantic segmentation
Fuzzy functional dependencies and linguistic interpretations employed in knowledge discovery tasks from relational databases
Improved discrete particle swarm optimization algorithm for solving fuzzy flexible job shop machines and automated guided vehicles fusion scheduling problem
An accelerator for online SVM based on the fixed-size KKT window
A temporal case-based reasoning approach for performance improvement in intelligent environmental decision support systems
Deep learning-enabled design for tailored mechanical properties of SLM-manufactured metallic lattice structures
Minimum-risk decision for the uncertain multiobjective cooperative task assignment problem of heterogeneous unmanned aerial vehicles
A two-stream network with complementary feature fusion for pest image classification
Optimal operational self-learning control for multi-time scale industrial processes with signal compensations
Predicting tourism demand using data based on a two-stage feature selection: A hybrid deep learning approach incorporating Time2Vec
Enhancing motion visual cues for self-supervised video representation learning
The impact of heterogeneous distance functions on missing data imputation and classification performance
Designing feedforward command shapers with multi-objective genetic optimisation for vibration control of a single-link flexible manipulator
A novel framework for semantic classification of cyber terrorist communities on Twitter
Unsupervised rapid speaker adaptation based on selective eigenvoice merging for user-specific voice interaction
Three techniques for automatic extraction of corpus callosum in structural midsagittal brain MR images: Valley Matching, Evolutionary Corpus Callosum Detection and Hybrid method
Neural network modelling and prediction of an Anaerobic Filter Membrane Bioreactor
An adaptive reinforcement learning approach with trait-awareness for heterogeneous multi-robot cooperative pursuit
A method for real-time optimal heliostat aiming strategy generation via deep learning
Design of fuzzy power system stabilizer using adaptive evolutionary algorithm
Multitask genetic programming for automated design of heuristics for the container relocation problem
Multi-agent hierarchical policy gradient for Air Combat Tactics emergence via self-play
Neurodegenerative disorders: A Holistic study of the explainable artificial intelligence applications
STEval: A framework for evaluating spatio-temporal crime prediction models
The reconciliation mechanism by cooperative intention index for managing non-cooperative behaviors in social network group decision making
Corrigendum to "Loss of coolant accident monitoring and pipe break diagnosis in pressurized water reactors using Bayesian-optimized long short-term memory models" [Eng. Appl. Artif. Intellig. 149 (2025) 110531]
Identification of zinc stripping defects from cathode plate based on deep learning
Retentive network-based time series anomaly detection in cyber-physical systems
Interval target-based VIKOR method supported on interval distance and preference degree for machine selection
Transformer-based deep reverse attention network for multi-sensory human activity recognition
A multi-dimensional association information analysis approach to automated detection and localization of myocardial infarction
Forecasting steam mass flow in power plants using the parallel hybrid network
BADM: Boundary-Assisted Diffusion Model for Skin Lesion Segmentation
FLSOM with individual kernel radii formation and application to optimization of a pickling line
Online prediction of pulp brightness using fuzzy logic models
A novel multi-step-ahead approach for cloud server aging prediction based on hybrid deep learning model
Multi-period dynamic multi-objective emergency material distribution model under uncertain demand
A theoretical analysis of continuous firing condition for pulse-coupled neural networks with its applications
Incremental supervised locally linear embedding for machinery fault diagnosis
Interpretable machine learning approaches to prediction of chronic homelessness
A deep reinforcement learning-based optimization approach for containerized microservice scheduling in Hybrid Fog/Cloud environments
UML 2.0 and agents: how to build agent-based systems with the new UML standard
Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories
Attribute-Driven Filtering: A new attributes predicting approach for fine-grained image captioning
Artificial Intelligence-based phonocardiogram signal classification using segment-specific multi-domain features for cardiovascular and arterial disease
A data-driven distributionally newsvendor problem for edge-cloud collaboration in intelligent manufacturing systems
A new Markov-Dubins hybrid solver with learned decision trees
Development of scheduling methodology in a multi-machine flexible manufacturing system without tool delay employing flower pollination algorithm
Safety evaluation of buildings adjacent to shield construction in karst areas: An improved extension cloud approach
Deep learning approach for predicting lymph node metastasis in non-small cell lung cancer by fusing image-gene data
Deep attentive adaptive filter module in residual blocks for text-independent speaker verification
Sparse view tomographic reconstruction of elongated objects using learned primal-dual networks
Fermatean fuzzy weighted averaging/geometric operators and its application in multi-criteria decision-making methods
Hierarchical congregated ant system for bottom-up VLSI placements
Registration of lines in 2D LIDAR scans via functions of angles
Optimizing perishable food products across states: A multi objective evolutionary algorithm for surplus to deficit transportation
Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition
Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach
Novel method of performance-optimized metastructure design for electromagnetic wave absorption in specific band using deep learning
Attention based spatial-temporal multi-graph ordinary differential equation network for traffic flow prediction
Collaborative multi-agent reinforcement learning based on a novel coordination tree frame with dynamic partition
A position-aware sets based weakly supervised framework for whole-slide subtype classification
Multi-view deep reciprocal nonnegative matrix factorization
THFE: A Triple-hierarchy Feature Enhancement method for tiny boat detection
Lightweight anchor-free one-level feature indoor personnel detection method based on transformer
Automatic waste detection with few annotated samples: Improving waste management efficiency
Attention based hybrid deep learning model for wearable based stress recognition
Non-convex regularized robust multimodal feature selection via self-representation learning for Alzheimer's disease diagnosis
Expert's experience-informed hierarchical kriging method for aerodynamic data modeling
A membrane-inspired bat algorithm to recognize faces in unconstrained scenarios
Low-light image enhancement using dual cross attention
New Aczel-Alsina components for bipolar fuzzy numbers and their use in multi-attribute decision making
Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data
Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes
Rethinking encoder-decoder architecture using vision transformer for colorectal polyp and surgical instruments segmentation
Incremental Approach: A Workflow Model for Semi-Supervised Learning Environment
Influence maximization in social networks based on long-term and short-term interest fusion reverse influence sampling
A novel multi-modal neural network approach for dynamic and generic sports video summarization
Enhanced Cross-Dimensional Transformer for long-term wellhead pressure forecasting during hydraulic fracturing
ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems
Grey System Theory based prediction for topic trend on Internet
Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability
Parameter identification of dual-rate Hammerstein-Volterra nonlinear systems by the hybrid particle swarm-gradient algorithm based on the auxiliary model
Parallel weight control based on policy gradient of relation refinement for cross-modal retrieval
GCNET: Graph-based prediction of stock price movement using graph convolutional network
Identification and control of integrative MIMO systems using pattern search algorithms: An application to irrigation channels
Fault diagnosis in electric machines and propellers for electrical propulsion aircraft: A review
Enhanced air pollution spatiotemporal forecast model using frequency domain convolution and attention mechanism
Affine parallel distributed compensator design for affine fuzzy systems via fuzzy Lyapunov function
Implementation of intelligent systems, enabling integration of SMEs to high-value supply chain networks
Learning adversarial attack policies through multi-objective reinforcement learning
RMFDNet: Redundant and Missing Feature Decoupling Network for salient object detection
Deep learning-based machine vision system for real-time edge fracture detection in the hole expansion test
Quantum-inspired neural networks with stochastic dynamics for multimodal sentiment analysis and sarcasm detection
Enhanced Cross Layer Refinement Network for robust lane detection across diverse lighting and road conditions
Assessing growth potential of careers with occupational mobility network and ensemble framework
Classification of the difficulty of a climbing route using the transformation of representation spaces and cascading classifier ensemble (CCE)
HFM: A hybrid fusion method for underwater image enhancement
Improving semantic similarity computation via subgraph feature fusion based on semantic awareness
BLCov: A novel collaborative-competitive broad learning system for COVID-19 detection from radiology images
Digital twin framework using agent-based metaheuristic optimization
Adaptive iterated stochastic metaheuristic to optimize holes drilling path in manufacturing industry: The Adaptive-Dhouib-Matrix-3 (A-DM3)
Vehicle real-time collision risk prediction: A multi-modal learning approach for diverse urban road scenarios based on a large-scale near-crash event dataset
Structural reliability analysis with fuzzy random variables using error principle
Using fuzzy clustering and TTSAS algorithm for modulation classification based on constellation diagram
Color image quantization using the shuffled-frog leaping algorithm
Sustainable strategies based on the social responsibility of the beverage industry companies for the circular supply chain
Dual spectral-spatial residual adaptive network for hyperspectral image classification in the presence of noisy labels
Artificial intelligence hybrid heuristic based on tabu search for the dynamic berth allocation problem
Local-based k values for multi-label k-nearest neighbors rule
A novel transfer learning method for bearing fault diagnosis based on squeeze-excitation dilated SincNet combined with physics-informed subdomain adaptation
Combined use of supervised and unsupervised learning for power system dynamic security mapping
Activated entropy with mutational feature extraction for wheel flat fault diagnosis in railway systems
Reconstruction error based implicit regularization method and its engineering application to lung cancer diagnosis
A hybrid fuzzy-stochastic technique for planning peak electricity management under multiple uncertainties
Bit depth enhancement method based on visual contrast perception features
Semi-supervised Time Series Classification Model with Self-supervised Learning
Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing
A hierarchical knowledge guided backtracking search algorithm with self-learning strategy
Microblog sentiment analysis via embedding social contexts into an attentive LSTM
An intelligent model approach for leakage detection of modified atmosphere pillow bags
DPCTN: Dual path context-aware transformer network for medical image segmentation
Improving zero-shot cross-domain slot filling via machine reading comprehension prompt template
Generalized zero-shot fault diagnosis method for chillers based on cross-modal information compression
Self-similar spectral reasoning network for efficient anti-aliasing seismic data reconstruction
Coupling control and human factors in mathematical models of complex systems
A hierarchical consensus method for the approximation of the consensus state, based on clustering and spectral graph theory
Unsupervised multiple-target domain adaptation for bearing fault diagnosis
Unsupervised concrete feature selection based on mutual information for diagnosing faults and cyber-attacks in power systems
A novel policy for coordinating a hurricane monitoring system using a swarm of buoyancy-controlled balloons trading off communication and coverage
A lane-changing trajectory re-planning method considering conflicting traffic scenarios
Minimizing the maximum receiver interference in wireless sensor networks using probabilistic interference model
Symbolic representation of objects relative poses for robotic manipulation tasks
A Gaussian mixture distribution-based adaptive sampling method for physics-informed neural networks
Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
Collaborative filtering embeddings for memory-based recommender systems
Multistage data selection-based unsupervised speaker adaptation for personalized speech emotion recognition
Application of two non-linear prediction tools to the estimation of tunnel boring machine performance
Super-resolution network with dynamic cleanup and temporal-spatial attention for compressed videos
HaiNougat: An academic document parser that preserves formulas and tables for high-energy physics
Robust optimization of the continuous annealing process based on a novel Multi-Objective Dragonfly Algorithm
Directly utilizing video compression information for cross-attention-based optical flow estimation and occlusion feature prediction
Ship fuel consumption prediction based on transfer learning: Models and applications
An intelligent three-dimensional fault detection method based on multitask learning and multi-scale feature fusion
Corrigendum to "Self-supervised monocular depth estimation based on combining convolution and multilayer perceptron" [Eng. Appl. Artif. Intell. 117 (2023) 105587]
Optimal power distribution with mitigation of DC voltage fluctuations using artificial intelligent droop control scheme for MTDC grid
Applying fuzzy grey modification model on inflow forecasting
Deep learning approach for delamination identification using animation of Lamb waves
Intelligent traffic rerouting with dynamic vehicle selection for congestion mitigation
VASP: An autoencoder-based approach for multivariate anomaly detection and robust time series prediction with application in motorsport
Reinforcement learning for quadrupedal locomotion with design of continual-hierarchical curriculum
A CIA-ISM scenario approach for analyzing complex cascading effects in Operational Risk Management
Lightweight dual-stream multi-scale feature fusion medical image multi-disease adaptation classification network based on guided enhancement
On utilizing weak estimators to achieve the online classification of data streams
Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time
A novel multiphase flow water cut modeling framework based on flow behavior-heuristic deep learning
Efficient frequent itemsets mining through sampling and information granulation
DPCFN: Dual path cross fusion network for medical image segmentation
Synchronization and identification of nonlinear systems by using a novel self-evolving interval type-2 fuzzy LSTM-neural network
Hierarchical intention recognition framework in intelligent human‒computer interactions for helicopter and drone collaborative wildfire rescue missions
Spectrum-based anomaly detection using channel state information and attention mechanisms for elderly health monitoring
A symbol-based intelligent control system with self-exploration process
Multi-view underwater image enhancement method via embedded fusion mechanism
Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis
Fake news detection in Dravidian languages using transfer learning with adaptive finetuning
Robust optimization of the design of monopropellant propulsion control systems using an advanced teaching-learning-based optimization method
Transformer-based soft sensor of Five day biochemical oxygen demand indicators in the municipal wastewater treatment process
Low-cost language models: Survey and performance evaluation on Python code generation
Statistical significance of cluster membership for categorical data
Multi-agent learning for routing control within an Internet environment
Novel indoor mobile robot navigation using monocular vision
Multi-region dynamic economic dispatch of solar-wind-hydro-thermal power system incorporating pumped hydro energy storage
Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images
Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey
An enhanced high-order Boltzmann machine for feature engineering
Evolutionary multi-objective optimization of QoS-Aware Publish/Subscribe Middleware in electronics production
Traffic congestion recognition based on convolutional neural networks in different scenarios
An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting
Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery
Multitasking optimization for personalized exercise group recommendation in E-learning environments
Sample-efficient planning-control framework for autonomous underwater vehicle docking using lightweight Cross Q-Learning
Enhanced deep learning framework for real-time pain assessment using multi-modal fusion of facial features and video streams
Emotion-aware dual cross-attentive neural network with label fusion for stance detection in misinformative social media content
Online learning control with Echo State Networks of an oil production platform
A fixed-time disturbance rejection control framework based on artificial intelligence for the flight environment testbed system
Expression guided medical condition detection via the Multi-Medical Condition Image Dataset
Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance
Multi-object tracking via deep feature fusion and association analysis
Romie: A domain-independent tool for computer-aided robust operations management
An eXplainable Artificial Intelligence framework to predict marine scrubbers performances
Scaleformer: A hierarchical transformer network utilizing multi-scale spatial-temporal features for electricity consumption prediction in cement raw material grinding system
A preliminary study of digital twin for nuclear reactor dynamics: a synergy of machine learning and model predictive control
Mining periodic high-utility itemsets with both positive and negative utilities
Reducing the device complexity for 3D human pose estimation: A deep learning approach using monocular camera and IMUs
A machine learning approach to modelling escalator demand response
Transfer learning-based approach for evaluating residual stiffness in carbon fiber reinforced composites and adhesives
A class of intelligent agents for coordinated control of outdoor terrain mapping UGVs
Semi-supervised learning for gas insulated switchgear partial discharge pattern recognition in the case of limited labeled data
A lightweight deep learning based bowel sounds segmentation algorithm for gastrointestinal (GI) monitoring
Automated machine learning for residential property valuation
Swarm intelligence for traffic light scheduling: Application to real urban areas
Donor behavior in healthcare crowdfunding success: A theory-driven approach using business intelligence and supervised machine learning in Pakistan
Development of an optimally designed real-time automatic citrus fruit grading-sorting​ machine leveraging computer vision-based adaptive deep learning model
Fine coordinate attention for surface defect detection
Adaptive protocols for hypervisor security in cloud infrastructure using federated learning-based anomaly detection
Simulation-based genetic algorithm for optimizing a municipal cooperative waste supply chain in a pandemic
A non-dominated sorting genetic algorithm III using competition crossover and opposition-based learning for the optimal dispatch of the combined cooling, heating, and power system with photovoltaic thermal collector
A model-free toolface control strategy for cross-well intelligent directional drilling
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
Application of an electronic tongue combined with meta-learning for rice origin detection
Weight prediction and recognition of latent subject terms based on the fusion of explicit & implicit information about keyword
Adoption of energy consumption in urban mobility considering digital carbon footprint: A two-phase interval-valued Fermatean fuzzy dominance methodology
Personality-aware followee recommendation algorithms: An empirical analysis
A status-relevant blocks fusion approach for operational status monitoring
Machine learning-based smoothness prediction for asphalt concrete overlay pavements considering milling effects
Dual attention and channel transformer based generative adversarial network for restoration of the damaged artwork
Cardiometabolic biomarker prediction based on retinal fundus image
Scene adaptation network for visual-thermal urban scene semantic segmentation