Engineering Applications of Artificial Intelligence

Papers
(The median citation count of Engineering Applications of Artificial Intelligence is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Dynamically Adaptive Deformable Feature Fusion for multi-scale character detection in ancient documents1789
Context-aware emotion recognition through agent-scene interactions698
Towards detection of anomalous cosmic ray signals for observations acquired from Cosmic Ray Extremely Distributed Observatory mobile detectors538
Distribution line inspection method using multi-scale information augmentation and ensemble learning442
Predicting the cyclic behavior and strength-weakening effect of saturated clays using artificial neural network432
Multi-slice Nested Recurrence Plot (MsNRP): A robust approach for person identification using daily ECG or PPG signals373
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing353
Leveraging the meta-embedding for text classification in a resource-constrained language349
Framework for real-time multimodal container transport risk management295
A deep learning framework for the segmentation and quantitative analysis of pulmonary embolism268
Incremental Approach: A Workflow Model for Semi-Supervised Learning Environment267
Firefly search algorithm based on leader strategy264
Editorial Board261
A streaming variable neural speech codec258
Upper limb musculoskeletal model as path generator for control a virtual orthosis: A dynamic neural network approach242
Feature-based deep neural network approach for predicting mortality risk in patients with COVID-19235
A novel health indicator by dominant invariant subspace on Grassmann manifold for state of health assessment of lithium-ion battery234
Visual localization on point and line combination in dynamic environments233
MTFR: An universal multimodal fusion method through Modality Transfer and Fusion Refinement233
Adaptive chemical industrial processes fault detection model based on Sparse Filtering-based Improved Mixed-Gaussian Probabilistic Principal Component Analysis considering low-probability events231
Spiking neural networks with uncertainty model of stochastic sampling for circuit yield enhancement227
A physics-penalized neural network with asynchronous propagation and localization embedding for dynamic plantar pressure prediction in older adults219
Lazy deep Q networks for unified rotor angle stability framework with unified time-scale of power systems with mass distributed energy storage213
Query-induced multi-task decomposition and enhanced learning for aspect-based sentiment quadruple prediction211
A Pythagorean language neutrosophic set method for the evaluation of water pollution control technology in pulp and paper industry201
Agent-based hybrid tabu-search heuristic for dynamic scheduling197
An integrated intelligent decision support framework for the development of photovoltaic solar power197
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation195
A deep sequence-to-sequence model for power swing blocking of distance protection in power transmission lines194
Distribution-guided and perturbation based contrastive clustering for specific emitter identification192
Variational learning to rank for Test Case Prioritization via prioritizing metric inspired differentiable loss184
Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning184
Novel lossy compression method of noisy time series data with anomalies: Application to partial discharge monitoring in overhead power lines183
An enhanced deep reinforcement learning approach for efficient, effective, and equitable disaster relief distribution178
An integrated interval-valued spherical fuzzy Choquet integral based decision making model for prioritizing risk in Fine-Kinney177
A reputation-aided negotiation mechanism for multi-agent society based on blockchain177
Hyperbolic Adversarial Variational Embedding for item recommendation175
Three-stage unsupervised learning approach fusing novel pseudo-label diffusion and math-physics translating for real-time structural damage detection174
Real-time prediction of breast cancer sites using deformation-aware graph neural network174
Deep learning framework for acoustic eigenvalue analysis of a double cavity with a perforated partition169
An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction169
Co-optimizing for task performance and energy efficiency in evolvable robots168
Optimization of spatial mode separation in few-mode nanostructured fibers with generative inverse design networks166
Optimization and prioritization of electric vehicle charging locations for InterCity transport: A dual-phase approach164
A novel bone marrow cell recognition method based on multi-scale information and reject option164
Multi-scale spatiotemporal feature fusion for super-resolution video reconstruction in dynamic scenes160
Adaptive error bounded piecewise linear approximation for time-series representation158
Hypergraph neural network with state space models for node classification156
Convolutional neural networks for tsunami intensity measure prediction from slip and coseismic deformation data155
Three-dimensional-grounded vision-language framework for robotic task planning: Automated prompt synthesis and supervised reasoning154
Attentive contrast deep neural network for imbalanced credit scoring151
A fabric defect detection model based on deformable large kernel convolution and feature attention149
Coupled data-driven and experience-informed neural networks for prediction of pile base resistance with consideration of data limitation148
Sustainable energy optimization and complex data management: Data-driven methodology based on neutrosophic picture fuzzy soft sets145
Machine learning solutions with deep multilayer exogenous networks for distributed denial of service attacks model on networked resources in critical infrastructure143
Assessment of hybrid kernel function in extreme support vector regression model for streamflow time series forecasting based on a bayesian estimator decomposition algorithm141
Testing and performance analysis of an integrated electromagnetic and hydraulic retarder for heavy-duty vehicles140
An aspect-level sentiment Graph Convolutional Network model based on transformer and frequency domain140
A novel method for partial discharge source localization in three-dimensional power transformer models using particle swarm optimization and particle filtering140
Exploiting global and instance-level perceived feature relationship matrices for 3D face reconstruction and dense alignment138
Data-driven optimization for enhanced excavation efficiency in tunnel construction: A case study135
Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation132
A quality index for construction big data in shield tunneling132
Adaptive load forecasting under regional distribution shifts: A meta-learning framework131
Path optimization of a flexible robot with a spatial compressed and a direction-guided exploring method131
Crack Segmentation Network using Additive Attention Gate—CSN-II131
A new data fusion driven-sparse representation learning method for bearing intelligent diagnosis in small and unbalanced samples130
A feature enhanced RetinaNet-based for instance-level ship recognition129
Ergonomic conscious scheduling of maintenance activities in marine vehicles using an optimized non-dominated sorting genetic algorithm-II – An application of job-shop scheduling128
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables128
Counterfactual-based minority oversampling for imbalanced classification128
Hybrid deep-learning prediction model based on kernel multi-granularity fuzzy rough sets and its application in the diagnosis and treatment of chronic kidney disease128
FAST-AlertNet: Early warning fire-induced collapse of large-span steel truss structures127
Emergency response scheme selection with T-spherical hesitant probabilistic fuzzy TODIM-TPZSG approach127
Combining Weighted Average Stacked Ensemble Deep Neural Networks with Histogram Clamped Contrast Limited Adaptive Histogram Equalization for enhanced chest radiograph classification127
Towards neural-symbolic grammatical inference for endangered languages using integrating graph neural networks and instruction-tuned language models125
Riemann–Liouville fractional exponential sampling type neural network Kantorovich operators125
Enhance multi-modal structured representations with open information extraction123
Multi-scale and precise real-time detection method for weeds on sidewalks123
Classification of colorectal tissue histopathological images using amalgamated hand-crafted features122
HoloFluoNet: Live cell imaging intelligence based on fused holography and fluorescence for virtual staining, cell segmentation, classification, and viability analysis119
A constitutive framework for non-isothermal plasticity through micro-mechanism informed artificial neural networks117
Recursive mutual-supervised multi-modal mask-variational fusion with domain-anchor alignment for domain-specific Multimodal Neural Machine Translation117
A multimodal gait and ocular geometric representation to generate a Parkinson progression report117
Corrigendum to “Adaptive multi-agent stock trading decision support system based on deep reinforcement learning” [EAAI_114130]116
Nonlinear dynamic modeling of turbojet engines using combined convolutional and long short-term memory networks116
Multimodality based deep learning method for cancer-related T-cell receptor sequence prediction115
Enhancing rotation you only look once version 8 for accurate detection of arbitrarily-oriented and multi-scale construction material in complex environment113
Adaptive time series classification using virtual adversarial domain adaptation techniques113
Reliable federated learning based on delayed gradient aggregation for intelligent connected vehicles111
SkyWords: An automatic keyword extraction system based on the skyline operator and semantic similarity111
Error model-oriented vibration suppression control of free-floating space robot with flexible joints based on adaptive neural network110
A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization110
Hypergraph temporal multi-behavior recommendation110
Variable-first wind power transformers via frequency-differential attention109
A novel structural adaptive seasonal grey Bernoulli model in natural gas production forecasting109
Enhancing scene text image super-resolution via gradient-based graph attention network109
Elite-based multi-objective improved iterative local search algorithm for time-dependent vehicle-drone collaborative routing problem with simultaneous pickup and delivery109
A virtual construction vehicles and workers dataset with three-dimensional annotations107
Machine-learning-based hybrid recognition approach for longitudinal driving behavior in noisy environment107
Efficient extended-graph multi-matrices subspace learning: Toward meta-similarity and efficiency promotion105
A novel multi-source heterogeneous data fusion based fault diagnosis framework for manufacturing processes103
Incipient fault diagnosis of analog circuit with ensemble HKELM based on fused multi-channel and multi-scale features102
Multi-view feature learning and enhanced hypergraph neural networks for synergistic prediction of drug combination102
Federated clustering for recognizing driving styles from private trajectories101
Deploying data analytics models in asset administration shells: Energy prediction in manufacturing101
A novel android malware classification approach based on multi-scale feature fusion for encrypted traffic100
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation100
Forecasting train travel times of China–Europe Railway Express through a hybrid deep learning model optimized with a bandit-based approach99
Dual-task collaborative network for camouflaged object detection via edge-coarse segmentation map fusion98
End-to-end burst signal demodulation via adaptive masked deep learning framework97
Modeling and quantifying uncertainty in nanocomposite shell vibrations using heteroscedastic Gaussian Processes97
Deep echo state network for fault diagnosis in electrical drive systems with imbalanced data: A novel two-stage information transfer mechanism97
A comprehensive wind speed prediction system based on intelligent optimized deep neural network and error analysis96
Investigate dual chiller characteristics and improve the performance by integrating machine learning and genetic algorithms96
Enhanced graph neural network for rapid multi-field seismic prediction in shield tunnels with contact loss defects95
Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild95
Towards open-world recognition: Critical problems and challenges95
Dynamic instance-aware layer-bit-select network on human activity recognition using wearable sensors95
Risk-response coupling in underground structures under liquefiable soil conditions: A causality-informed Dynamic Bayesian network integrated framework95
LiDAR-camera fusion: Dual transformer enhancement for 3D object detection95
Energy-efficient routing protocol for underwater wireless sensor networks using a hybrid metaheuristic algorithm94
Two-sided driven product design: A novel fuzzy multi-criteria group decision-making method with social network and customer requirements94
An evolutionary algorithm with indirect representation for droplet routing in digital microfluidic biochips94
A low-cost framework for the recognition of human motion gait phases and patterns based on multi-source perception fusion94
Dual-stage dynamic hierarchical attention framework for saliency-aware explainable diabetic retinopathy grading94
Explainable automated wild-orchid identification combining deep neural networks and Bayesian networks93
Smart reception: An artificial intelligence driven bangla language based receptionist system employing speech, speaker, and face recognition for automating reception services92
Δ-PINNs: Physics-informed neural networks on complex geometries92
A novel deep learning-based approach for malware detection91
Deep learning assisted physics-based modeling of aluminum extraction process90
Adaptive finite-time fault-tolerant control for the full-state-constrained robotic manipulator with novel given performance90
GFBLS: Graph-regularized fuzzy broad learning system for detection of interictal epileptic discharges90
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition89
Two-stage fuzzy object grasping controller for a humanoid robot with proximal policy optimization89
Natural gas pipeline leak diagnosis based on manifold learning88
Fault diagnosis of real-scenario battery systems in electric vehicles using the multi-scale fuzzy entropy algorithm87
Intelligent evaluation of pavement friction at high speeds with artificial intelligence powered three-dimensional laser imaging technology87
Novel Aczel-Alsina operations-based linguistic Z-number aggregation operators and their applications in multi-attribute group decision-making process87
Cascaded dimensionality reduction nonnegative matrix factorization for data representation87
Dynamic-balanced double-attention fusion for image captioning87
Task-aware evolution in physics-informed neural networks: Application to Saint-Venant torsion problems87
A novel graph learning framework for interpretable and imbalance financial fraud detection87
Polyhedral representations with high-frequency for three-dimensional point cloud classification86
Learnable Daubechies wavelet neural layers: A novel fault diagnosis architecture for high-speed train under severe noise condition86
Critical success factors for implementing artificial intelligence in construction projects: A systematic review and social network analysis86
Power generation forecasting based on hybrid deep learning models for a multi-energy power generation system86
EPT: A data-driven transformer model for earthquake prediction86
Multi-Agent Learning of Asset Maintenance Plans through Localised Subnetworks86
Research on reflective clothing recognition algorithm based on combining omni-dimensional dynamic convolution and partial convolution85
WB-YOLO: An efficient wild bat detection method for ecological monitoring in complex environments85
Information measures based on similarity under neutrosophic fuzzy environment and multi-criteria decision problems85
An integrated decision model for cloud vendor selection using probabilistic linguistic information and unknown weights84
Adaptive multi-view multiple-means clustering via subspace reconstruction84
An enhanced failure mode and effect analysis method based on preference disaggregation in risk analysis of intelligent wearable medical devices84
Propeller fault-detection method for electric-propulsion aircraft using motor signals and generative model-based semi-supervised learning84
Intelligent breast cancer diagnosis: K-means-based oversampling and comparative feature selection for enhanced classification83
Medical hyperspectral image classification based weakly supervised single-image global learning network83
Prescriptive tool wear Control: Tool wear early prediction and cutting parameter regulation for discrete turning operations83
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 network82
Hierarchical reinforcement learning with adaptive scheduling for robot control82
Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis82
An effective method for small object detection in low-resolution images81
Multiscale self-attention for unmanned ariel vehicle-based infrared thermal images detection81
Improving question answering performance using knowledge distillation and active learning80
Enabling temporal–spectral decoding in multi-class single-side upper limb classification80
Speech and speaker recognition using raw waveform modeling for adult and children’s speech: A comprehensive review80
Heuristic physics-informed neural network model for simulating melting-induced thin film flow of cross-fluid with industrial waste and electroosmosis effects80
A zero-shot anomaly detection network with patch-augmented prompts and test-time adaptation80
Deep reinforcement learning optimizer based novel Caputo fractional order sliding mode data driven controller79
Optimization and implementation of a photovoltaic pumping system using the sine–cosine​ algorithm79
Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN79
The integration of emerging technologies in defense: A scientometric overview79
An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes78
A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system77
Editorial Board77
Novel machine intelligent expedition with adaptive autoregressive exogenous neural structure for nonlinear multi-delay differential systems in computer virus propagation76
Mamba Adaptive Anomaly Transformer with association discrepancy for time series76
A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction75
Overcoming challenges in leveraging blockchain technology: Entropy-based q-rung orthopair fuzzy model for benchmarking application barriers75
End-edge-cloud collaborative-driven waste-heat prediction of liquid cooling system for high-performance computing data centers75
Integrating prompt techniques and multi-similarity matching for named entity recognition in low-resource settings75
Adaptive critical speed prediction for straddle-type monorail operational safety: A meta-learning framework with few-shot deployment75
Precise phenotypic trait quantification of peanut pods via keypoint detection and correction algorithms75
Predicting the dynamic hydrogeological response of mountain tunnels to extreme climate: an integrated physics and artificial intelligence framework75
A machine learning-based interpretable fault diagnosis method for rolling bearings under unbalanced samples74
An efficient and interpretable clustering-based framework for large-scale maritime traffic pattern recognition74
A comprehensive review of facial beauty prediction using deep learning techniques74
Soft Prompt-tuning with Self-Resource Verbalizer for short text streams74
A novel deep learning-based model for fault diagnosis of complex systems with high uncertainty74
Applying deep learning and automated machine learning for enhanced state monitoring and health assessment of high-pressure heater in thermal power units74
Self-organizing broad network with frequency-domain analysis74
A Multi-Scale Sparse Channel Transformer Network for image reconstruction of astronomical bright source contamination74
Towards machinery incremental fault diagnosis based on inverted transformer lifelong learning with learnable pruning mechanism73
Application of artificial intelligence to predict energy consumption and thermal efficiency of hybrid convection-radiation dryer for garlic slices73
Real-time path planning for unmanned aerial vehicles in complex three-dimensional dynamic environments using an enhanced fuzzy neural fluid dynamical system73
Graph Neural Networks (GNNs) based accelerated numerical simulation73
Cross-attention interaction learning network for multi-model image fusion via transformer73
Knowledge graph reasoning: Mainstream methods, applications and prospects72
Enhanced light detection and ranging simultaneous localization and mapping based on three-dimensional moving object tracking in dynamic scenes72
An end-to-end automated framework for pavement crack detection and dimensional quantification using foundation models and learned skeletonization72
A deeper generative adversarial network for grooved cement concrete pavement crack detection71
Quantum-inspired metaheuristic algorithms for Industry 4.0: A scientometric analysis71
Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes71
Robust language independent voice data driven Parkinson’s disease detection71
Transformer-enabled weakly supervised abnormal event detection in intelligent video surveillance systems71
Research on uncertain multiple attribute decision making based on improved possibility degree relation model and its application70
Dynamic personalized graph neural network with linear complexity for multivariate time series forecasting70
Prediction of rolling force during isothermal rolling process based on machine learning70
Dual-stream feature fusion network for person re-identification70
Power flow analysis via typed graph neural networks70
Advancing fault diagnosis in industrial systems: The power of V-nets for managing complex event sequences70
AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition70
Real-time fuzzy logic-based direct power control for wind energy systems70
Refined offshore wind speed prediction: Leveraging a two-layer decomposition technique, gated recurrent unit, and kernel density estimation for precise point and interval forecasts69
Inference and analysis of a new evidential reasoning rule-based performance evaluation model69
Machine learning approach for truck-drones based last-mile delivery in the era of industry 4.069
Adaptive neural network control using prescribed performance and event-triggered for path tracking control of autonomous vehicle69
A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction68
The promise of convolutional neural networks for the early diagnosis of the Alzheimer’s disease68
Efficient self-learning disturbance-resistant control for high-speed flight vehicle based on dual heuristic dynamic programming68
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data68
A confident cross-domain mixup–based network with dynamic label-distribution-aware margin regularization for bearing fault diagnosis under variable working conditions68
Machine learning-driven feature importance appraisal of seismic parameters on tunnel damage and seismic fragility prediction68
Post-earthquake structural damage detection with tunable semi-synthetic image generation68
A systematic review on advancement and challenges in multi-fault diagnosis of rotating machines67
Anomaly detection in distributed systems based on Spatio-Temporal Causal Inference67
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery67
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions67
Vibration suppression of ball-screw drive system based on flexible dynamics model67
Event-triggered predefined-time tracking control for high-order nonlinear systems with time-varying actuator failures and uncertain disturbances67
Evolutionary optimization based automatic design of the modules stacked deep fuzzy model66
A new multi-objective evolutionary algorithm for citation-based summarization: Comprehensive analysis of the generated summaries66
Identifying wagon numbers using transformers66
A feasible solution model for manifold clustering66
Automatic polyp segmentation via image-level and surrounding-level context fusion deep neural network66
Investigation of the dependence of fill factor and efficiency on gallium-doped silicon wafer characteristics using unsupervised learning66
A serverless satellite edge computing infrastructure to detect lake shoreline change based on contrastive attention siamese transformer66
Parallax-aware dual-view feature enhancement and adaptive detail compensation for dual-pixel defocus deblurring66
Matching quality-guided model-free satellite pose estimation65
Evaluation of shared micro-mobility systems for sustainable cities by using a consensus-based Fermatean fuzzy multiple objective optimization and full multiplicative form65
Ego-centric multiple-correlation and temporal graph neural networks based residential load forecasting65
An ensemble transfer learning strategy for short-term electricity load forecasting of data-sparse buildings65
Koopman-operator-based learning control of air-breathing hypersonic vehicles with nonminimum phase properties65
A novel adaptive spatial–temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition65
A novel photovoltaic cell defect detection method: A deep learning model based on multi-scale enhanced feature extraction65
Covid-19 epidemic and regional carbon emissions: A study based on metabolic multivariate grey model with new information priority65
Modeling category and multi-level user intentions for session-based recommendation64
Observer-based fixed-time adaptive fuzzy control for SbW systems with prescribed performance64
Few-shot machine reading comprehension for bridge inspection via domain-specific and task-aware pre-tuning approach64
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