Engineering Applications of Artificial Intelligence

Papers
(The H4-Index of Engineering Applications of Artificial Intelligence is 103. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
A deep learning framework for the segmentation and quantitative analysis of pulmonary embolism1745
Incremental Approach: A Workflow Model for Semi-Supervised Learning Environment688
Self-organizing broad network with frequency-domain analysis527
Firefly search algorithm based on leader strategy434
Editorial Board420
A streaming variable neural speech codec358
A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system346
Vibration suppression of ball-screw drive system based on flexible dynamics model338
An end-to-end automated framework for pavement crack detection and dimensional quantification using foundation models and learned skeletonization291
Improving question answering performance using knowledge distillation and active learning261
Novel machine intelligent expedition with adaptive autoregressive exogenous neural structure for nonlinear multi-delay differential systems in computer virus propagation260
Speech and speaker recognition using raw waveform modeling for adult and children’s speech: A comprehensive review255
Deep reinforcement learning optimizer based novel Caputo fractional order sliding mode data driven controller253
Precise phenotypic trait quantification of peanut pods via keypoint detection and correction algorithms246
A novel structural adaptive seasonal grey Bernoulli model in natural gas production forecasting231
Machine learning-driven feature importance appraisal of seismic parameters on tunnel damage and seismic fragility prediction231
Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes229
Enabling temporal–spectral decoding in multi-class single-side upper limb classification226
An efficient and interpretable clustering-based framework for large-scale maritime traffic pattern recognition226
The integration of emerging technologies in defense: A scientometric overview223
A Pythagorean language neutrosophic set method for the evaluation of water pollution control technology in pulp and paper industry216
A virtual construction vehicles and workers dataset with three-dimensional annotations214
Refined offshore wind speed prediction: Leveraging a two-layer decomposition technique, gated recurrent unit, and kernel density estimation for precise point and interval forecasts208
An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes207
Mamba Adaptive Anomaly Transformer with association discrepancy for time series202
Lazy deep Q networks for unified rotor angle stability framework with unified time-scale of power systems with mass distributed energy storage199
Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild192
Agent-based hybrid tabu-search heuristic for dynamic scheduling192
Towards open-world recognition: Critical problems and challenges190
An integrated interval-valued spherical fuzzy Choquet integral based decision making model for prioritizing risk in Fine-Kinney189
Hypergraph temporal multi-behavior recommendation185
Knowledge graph reasoning: Mainstream methods, applications and prospects180
Predicting the dynamic hydrogeological response of mountain tunnels to extreme climate: an integrated physics and artificial intelligence framework180
Query-induced multi-task decomposition and enhanced learning for aspect-based sentiment quadruple prediction177
Dynamically Adaptive Deformable Feature Fusion for multi-scale character detection in ancient documents176
Research on uncertain multiple attribute decision making based on improved possibility degree relation model and its application175
Context-aware emotion recognition through agent-scene interactions173
Towards detection of anomalous cosmic ray signals for observations acquired from Cosmic Ray Extremely Distributed Observatory mobile detectors173
Polyhedral representations with high-frequency for three-dimensional point cloud classification171
Distribution line inspection method using multi-scale information augmentation and ensemble learning170
Predicting the cyclic behavior and strength-weakening effect of saturated clays using artificial neural network168
Efficient self-learning disturbance-resistant control for high-speed flight vehicle based on dual heuristic dynamic programming166
Forecasting train travel times of China–Europe Railway Express through a hybrid deep learning model optimized with a bandit-based approach164
Framework for real-time multimodal container transport risk management162
Optimization of spatial mode separation in few-mode nanostructured fibers with generative inverse design networks161
Co-optimizing for task performance and energy efficiency in evolvable robots159
Dual-stream feature fusion network for person re-identification156
An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction154
Intelligent evaluation of pavement friction at high speeds with artificial intelligence powered three-dimensional laser imaging technology154
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 network150
Hierarchical reinforcement learning with adaptive scheduling for robot control146
Federated clustering for recognizing driving styles from private trajectories145
Prescriptive tool wear Control: Tool wear early prediction and cutting parameter regulation for discrete turning operations145
Adaptive multi-view multiple-means clustering via subspace reconstruction142
Graph Neural Networks (GNNs) based accelerated numerical simulation139
Transformer-enabled weakly supervised abnormal event detection in intelligent video surveillance systems137
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery137
Power generation forecasting based on hybrid deep learning models for a multi-energy power generation system137
Prediction of rolling force during isothermal rolling process based on machine learning137
Multi-Agent Learning of Asset Maintenance Plans through Localised Subnetworks136
A machine learning-based interpretable fault diagnosis method for rolling bearings under unbalanced samples135
Applying deep learning and automated machine learning for enhanced state monitoring and health assessment of high-pressure heater in thermal power units131
End-edge-cloud collaborative-driven waste-heat prediction of liquid cooling system for high-performance computing data centers131
AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition129
An evolutionary algorithm with indirect representation for droplet routing in digital microfluidic biochips129
Multiscale self-attention for unmanned ariel vehicle-based infrared thermal images detection128
An enhanced failure mode and effect analysis method based on preference disaggregation in risk analysis of intelligent wearable medical devices128
An effective method for small object detection in low-resolution images128
Power flow analysis via typed graph neural networks128
An integrated decision model for cloud vendor selection using probabilistic linguistic information and unknown weights128
Medical hyperspectral image classification based weakly supervised single-image global learning network127
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation126
Intelligent breast cancer diagnosis: K-means-based oversampling and comparative feature selection for enhanced classification126
A zero-shot anomaly detection network with patch-augmented prompts and test-time adaptation125
Information measures based on similarity under neutrosophic fuzzy environment and multi-criteria decision problems124
Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis123
EPT: A data-driven transformer model for earthquake prediction123
A novel deep learning-based approach for malware detection121
Propeller fault-detection method for electric-propulsion aircraft using motor signals and generative model-based semi-supervised learning121
Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN120
A deeper generative adversarial network for grooved cement concrete pavement crack detection120
Optimization and implementation of a photovoltaic pumping system using the sine–cosine​ algorithm120
Energy-efficient routing protocol for underwater wireless sensor networks using a hybrid metaheuristic algorithm118
Explainable automated wild-orchid identification combining deep neural networks and Bayesian networks118
Research on reflective clothing recognition algorithm based on combining omni-dimensional dynamic convolution and partial convolution116
A novel multi-source heterogeneous data fusion based fault diagnosis framework for manufacturing processes116
A comprehensive review of facial beauty prediction using deep learning techniques114
Critical success factors for implementing artificial intelligence in construction projects: A systematic review and social network analysis114
Error model-oriented vibration suppression control of free-floating space robot with flexible joints based on adaptive neural network112
Robust language independent voice data driven Parkinson’s disease detection112
Modeling and quantifying uncertainty in nanocomposite shell vibrations using heteroscedastic Gaussian Processes111
Cross-attention interaction learning network for multi-model image fusion via transformer111
Dual-stage dynamic hierarchical attention framework for saliency-aware explainable diabetic retinopathy grading110
A low-cost framework for the recognition of human motion gait phases and patterns based on multi-source perception fusion109
Machine learning approach for truck-drones based last-mile delivery in the era of industry 4.0109
Towards machinery incremental fault diagnosis based on inverted transformer lifelong learning with learnable pruning mechanism108
A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction107
A systematic review on advancement and challenges in multi-fault diagnosis of rotating machines107
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data106
Variable-first wind power transformers via frequency-differential attention106
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions106
A comprehensive wind speed prediction system based on intelligent optimized deep neural network and error analysis105
Adaptive finite-time fault-tolerant control for the full-state-constrained robotic manipulator with novel given performance103
WB-YOLO: An efficient wild bat detection method for ecological monitoring in complex environments103
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