Artificial Intelligence Review

Papers
(The TQCC of Artificial Intelligence Review is 21. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
A survey of the recent architectures of deep convolutional neural networks1446
A comparative analysis of gradient boosting algorithms572
A review on the long short-term memory model570
Deep semantic segmentation of natural and medical images: a review394
A review on machine learning in 3D printing: applications, potential, and challenges287
Application of deep learning algorithms in geotechnical engineering: a short critical review222
A survey on sentiment analysis methods, applications, and challenges222
Advances in Sine Cosine Algorithm: A comprehensive survey221
Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review218
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications182
Multi-agent deep reinforcement learning: a survey179
Transformer models for text-based emotion detection: a review of BERT-based approaches172
Machine Learning in Drug Discovery: A Review171
A survey of deep meta-learning161
Chaos Game Optimization: a novel metaheuristic algorithm154
A survey on evolutionary computation for complex continuous optimization145
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art142
Explainable artificial intelligence: a comprehensive review136
A systematic review on overfitting control in shallow and deep neural networks130
Image segmentation evaluation: a survey of methods126
A review on fault detection and diagnosis techniques: basics and beyond125
The intelligent critic framework for advanced optimal control124
Systematic reviews in sentiment analysis: a tertiary study115
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis111
A review of deep learning used in the hyperspectral image analysis for agriculture109
A survey of uncertainty in deep neural networks109
Performance assessment of the metaheuristic optimization algorithms: an exhaustive review109
Human activity recognition in artificial intelligence framework: a narrative review105
A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection104
A comprehensive survey of recent trends in deep learning for digital images augmentation96
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor94
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities91
Fire Hawk Optimizer: a novel metaheuristic algorithm90
Survey on evaluation methods for dialogue systems89
Artificial intelligence in the creative industries: a review89
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications83
An automated essay scoring systems: a systematic literature review81
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches79
A review on weight initialization strategies for neural networks78
Consensus in multi-agent systems: a review77
Various dimension reduction techniques for high dimensional data analysis: a review77
Human-in-the-loop machine learning: a state of the art74
Picture fuzzy interactional partitioned Heronian mean aggregation operators: an application to MADM process74
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions74
Role of artificial intelligence in rotor fault diagnosis: a comprehensive review72
Artificial intelligence in cyber security: research advances, challenges, and opportunities72
Nature inspired optimization algorithms or simply variations of metaheuristics?68
Modality specific U-Net variants for biomedical image segmentation: a survey68
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives67
Deep reinforcement learning in computer vision: a comprehensive survey67
Data stream clustering: a review66
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review66
A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems66
Underwater image enhancement: a comprehensive review, recent trends, challenges and applications65
A comprehensive survey of sine cosine algorithm: variants and applications65
News recommender system: a review of recent progress, challenges, and opportunities63
Video super-resolution based on deep learning: a comprehensive survey63
CovidSens: a vision on reliable social sensing for COVID-1963
Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models63
Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction62
Reinforcement learning in robotic applications: a comprehensive survey62
Recent advances in decision trees: an updated survey60
Quantum-inspired metaheuristic algorithms: comprehensive survey and classification60
Attention, please! A survey of neural attention models in deep learning60
A comprehensive survey of Crow Search Algorithm and its applications55
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual 54
Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system53
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches53
Machine learning towards intelligent systems: applications, challenges, and opportunities52
Deep learning for biomedical image reconstruction: a survey52
Multi-criteria decision making approach based on SVTrN Dombi aggregation functions52
A systematic literature review on state-of-the-art deep learning methods for process prediction52
Monte Carlo Tree Search: a review of recent modifications and applications51
State of the art: a review of sentiment analysis based on sequential transfer learning51
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity50
Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems49
Feature selection methods for text classification: a systematic literature review48
Recent advances in deep learning based dialogue systems: a systematic survey47
An improved Henry gas solubility optimization algorithm for task scheduling in cloud computing47
Sentiment analysis with deep neural networks: comparative study and performance assessment47
Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector46
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential45
On the evaluation and combination of state-of-the-art features in Twitter sentiment analysis45
A survey on personality-aware recommendation systems45
Adversarial example detection for DNN models: a review and experimental comparison45
Text categorization: past and present45
Applications, databases and open computer vision research from drone videos and images: a survey44
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research44
Genetic programming in civil engineering: advent, applications and future trends43
An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions42
Spatiotemporal data mining: a survey on challenges and open problems42
A new chaotic complex map for robust video watermarking41
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey41
CHIRPS: Explaining random forest classification40
A survey on parallel clustering algorithms for Big Data40
Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review40
A review of convolutional neural network architectures and their optimizations40
A novel improved whale optimization algorithm to solve numerical optimization and real-world applications39
Sine trigonometric operational laws and its based Pythagorean fuzzy aggregation operators for group decision-making process39
The role of artificial intelligence and machine learning in wireless networks security: principle, practice and challenges39
Machine learning algorithms to forecast air quality: a survey38
A robust extension of VIKOR method for bipolar fuzzy sets using connection numbers of SPA theory based metric spaces38
Deep learning techniques for rating prediction: a survey of the state-of-the-art38
An integrated rough ELECTRE II approach for risk evaluation and effects analysis in automatic manufacturing process37
Probabilistic linguistic multiple attribute group decision making for location planning of electric vehicle charging stations based on the generalized Dice similarity measures37
Secure video communication using firefly optimization and visual cryptography37
An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator37
Artificial intelligence techniques and their application in oil and gas industry36
Applications of AI in oil and gas projects towards sustainable development: a systematic literature review36
Evolutionary computation for solving search-based data analytics problems36
Concept learning using one-class classifiers for implicit drift detection in evolving data streams36
Risk assessment in discrete production processes considering uncertainty and reliability: Z-number multi-stage fuzzy cognitive map with fuzzy learning algorithm36
Over a decade of social opinion mining: a systematic review35
The role of AI technology in prediction, diagnosis and treatment of colorectal cancer35
A survey of transfer learning for machinery diagnostics and prognostics35
Risk assessment of coronary heart disease based on cloud-random forest35
Machine learning in medicinal plants recognition: a review34
Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection34
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals34
Deep learning in drug discovery: an integrative review and future challenges34
Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish34
Model-free reinforcement learning from expert demonstrations: a survey33
Deep learning approaches to scene text detection: a comprehensive review33
Group decision-making with Fermatean fuzzy soft expert knowledge33
Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review33
A survey of intelligent transmission line inspection based on unmanned aerial vehicle32
Scientometric analysis of literature on distributed vehicular networks : VOSViewer visualization techniques32
Bio-inspired VANET routing optimization: an overview32
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches32
Multi-focus image fusion techniques: a survey32
A Survey on ensemble learning under the era of deep learning32
Consensus-based robust decision making methods under a novel study of probabilistic uncertain linguistic information and their application in Forex investment31
When artificial intelligence meets building energy efficiency, a review focusing on zero energy building31
Biometrics recognition using deep learning: a survey31
A comprehensive survey on optimizing deep learning models by metaheuristics31
Deep learning modelling techniques: current progress, applications, advantages, and challenges31
Securing federated learning with blockchain: a systematic literature review30
A quantum-based sine cosine algorithm for solving general systems of nonlinear equations30
Visual question answering: a state-of-the-art review30
Decision-making model for China’s stock market bubble warning: the CoCoSo with picture fuzzy information30
Medical image data augmentation: techniques, comparisons and interpretations29
A review of artificial fish swarm algorithms: recent advances and applications29
Bioacoustic signal denoising: a review29
Review and empirical analysis of sparrow search algorithm28
Survey on reinforcement learning for language processing28
A survey on feature selection methods for mixed data28
A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks28
A systematic literature review of multicriteria recommender systems28
Making accurate object detection at the edge: review and new approach28
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges28
Deep multiagent reinforcement learning: challenges and directions28
Virtual machine placement in cloud data centers using a hybrid multi-verse optimization algorithm28
Algorithm for T-spherical fuzzy MADM based on associated immediate probability interactive geometric aggregation operators28
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study27
A comparison of vector symbolic architectures27
Survey on sentiment analysis: evolution of research methods and topics27
Population-based optimization in structural engineering: a review27
Generalized Maclaurin symmetric mean aggregation operators based on Archimedean t-norm of the intuitionistic fuzzy soft set information27
On the joint-effect of class imbalance and overlap: a critical review27
KnowMIS-ABSA: an overview and a reference model for applications of sentiment analysis and aspect-based sentiment analysis27
Knowledge Graphs: Opportunities and Challenges26
An extended EDAS approach based on cumulative prospect theory for multiple attributes group decision making with probabilistic hesitant fuzzy information26
A survey of inverse reinforcement learning26
An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm26
Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods26
A survey of sentiment analysis in the Portuguese language26
A survey of attack detection approaches in collaborative filtering recommender systems26
A review of q-rung orthopair fuzzy information: bibliometrics and future directions26
Ancient text recognition: a review25
Neurosymbolic AI: the 3rd wave25
A survey of Bayesian Network structure learning25
Comprehensive survey on hierarchical clustering algorithms and the recent developments25
Deep learning for Alzheimer prediction using brain biomarkers25
A novel distance measure on q-rung picture fuzzy sets and its application to decision making and classification problems25
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges25
Hybridization of hybrid structures for time series forecasting: a review24
Using artificial intelligence technology to fight COVID-19: a review24
Consensus function based on cluster-wise two level clustering24
Chaotic slime mould optimization algorithm for global optimization24
How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms24
An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy24
Deep learning approach for facial age classification: a survey of the state-of-the-art24
Analytical review of clustering techniques and proximity measures24
High granular and short term time series forecasting of $$\hbox {PM}_{2.5}$$ air pollutant - a comparative review23
Persistent-homology-based machine learning: a survey and a comparative study23
Parameter reduction analysis under interval-valued m-polar fuzzy soft information23
A survey on information hiding using video steganography23
Crayfish optimization algorithm23
Performance comparison of five metaheuristic nature-inspired algorithms to find near-OGRs for WDM systems23
Tutorial on PCA and approximate PCA and approximate kernel PCA23
A survey on multi-objective hyperparameter optimization algorithms for machine learning23
Deep learning for video object segmentation: a review22
Multi-dimensional Bayesian network classifiers: A survey22
Arabic question answering system: a survey22
Empirical evaluation and study of text stemming algorithms22
PROMETHEE II method based on variable precision fuzzy rough sets with fuzzy neighborhoods22
Overview of behavior recognition based on deep learning22
Data clustering: application and trends21
Deep learning in the stock market—a systematic survey of practice, backtesting, and applications21
m-polar neutrosophic soft mapping with application to multiple personality disorder and its associated mental disorders21
Balanced picture fuzzy graph with application21
An association between fingerprint patterns with blood group and lifestyle based diseases: a review21
Study of automatic text summarization approaches in different languages21
A review of spam email detection: analysis of spammer strategies and the dataset shift problem21
From classical to deep learning: review on cartilage and bone segmentation techniques in knee osteoarthritis research21
Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model21
Benchmarking lightweight face architectures on specific face recognition scenarios21
A hybrid approach combining AHP with TODIM for blockchain technology provider selection under the Pythagorean fuzzy scenario21
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