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- A novel machine learning approach for rice yield estimation
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- Epidemic Prediction using Machine Learning and Deep Learning Models on COVID-19 Data
- COVID-19 health analysis and prediction using machine learning algorithms for Mexico and Brazil patients
- Merging slime mould with whale optimization algorithm for optimal allocation of hybrid power flow controller in power system
- CF-PPI: Centroid based new feature extraction approach for Protein-Protein Interaction Prediction
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- Guaranteed cost leaderless consensus for uncertain Markov jumping multi-agent systems
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- Finite-time reliable sampled-data control for fractional-order memristive neural networks with quantisation
- Study on the classification problem of the coping stances in the Satir model based on machine learning
- Attention-based 3D convolutional networks
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- Fuzzy whale optimisation algorithm: a new hybrid approach for automatic sonar target recognition
- HLA: a novel hybrid model based on fixed structure and variable structure learning automata
- Emotion recognition in election day tweets using optimised kernel extreme learning machine classifier
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- Exploratory data analysis, classification, comparative analysis, case severity detection, and internet of things in COVID-19 telemonitoring for smart hospitals
- The extent of the teacher academic development from the accreditation evaluation system perspective using machine learning
- Early diagnosis of COVID-19 patients using deep learning-based deep forest model
- Improving Domain-Independent Heuristic State-Space Planning via plan cost predictions
- Efficacy Determination of Various Base Networks in Single Shot Detector for Automatic Mask Localisation in a Post COVID Setup
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- A novel solution of an elastic net regularisation for dementia knowledge discovery using deep learning
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- Weighted holoentropy-based features with optimised deep belief network for automatic sentiment analysis: reviewing product tweets
- Refined PSO Clustering for Not Well-Separated Data
- Prediction of cardiovascular disease using deep learning algorithms to prevent COVID 19
- The risks associated with Artificial General Intelligence: A systematic review
- A new hierarchical temporal memory based on recurrent learning unit
- Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects
- Explainable spiking neural network for real time feature classification
- Determining context of association rules by using machine learning
- An internal supplemental action measurement to increase the gap of action values and reduce the sensitivity to overestimation error
- Entropic boundary conditions towards safe artificial superintelligence
- Crispr biosensing and Ai driven tools for detection and prediction of Covid-19
- COVIDPRO-NET: a prognostic tool to detect COVID 19 patients from lung X-ray and CT images using transfer learning and Q-deformed entropy
- A human fall detection framework based on multi-camera fusion
- Emergency Management Case-Based Reasoning Systems: A Survey of Recent Developments
- Flexible brain: a domain-model based bayesian network for classification
- Neural network-based multi-view enhanced multi-learner active learning: theory and experiments
- Novel FNN-based machine deep learning approach for image aggregation in application of the IoT
- An investigation of solutions for handling incomplete online review datasets with missing values
- Planning and acting in dynamic environments: identifying and avoiding dangerous situations
- Thyroid Disorder Diagnosis by Optimal Convolutional Neuron based CNN Architecture
- A classification-based fuzzy-rules proxy model to assist in the full model selection problem in high volume datasets
- An intelligent ensemble classification method based on multi-layer perceptron neural network and evolutionary algorithms for breast cancer diagnosis
- Block-based pseudo-relevance feedback for image retrieval
- Raising the Bar for Theories of Categorisation and Concept Learning: The Need to Resolve Five Basic Paradigmatic Tensions
- Hybrid optimised deep learning-deep belief network for attack detection in the internet of things
- Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced Problems
- Frequencies Wave Sound Particle Swarm Optimisation (FPSO)
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- A fuzzy logic-based method for designing an urban transport network using a shark smell optimisation algorithm
- An empirical evaluation of text representation schemes to filter the social media stream
- Simultaneous localisation and mapping for autonomous underwater vehicle using a combined smooth variable structure filter and extended kalman filter
- Detection of COVID-19 Disease in Chest X-Ray Images with capsul networks: application with cloud computing
- Convergence analysis of a patch structure Nicholson’s blowflies system involving an oscillating death rate
- Multi-attribute strict two-sided matching methods with interval-valued preference ordinal information
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- Deep asset allocation for trend following investing
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- Human detection based on deep learning YOLO-v2 for real-time UAV applications
- Anytime clustering of data streams while handling noise and concept drift
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- Multi-feature fusion refine network for video captioning
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- A tuned feed-forward deep neural network algorithm for effort estimation
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- Brazilian Forest Dataset: A new dataset to model local biodiversity
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- Fast copula variational inference
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- Topological machine learning for multivariate time series
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- A systematic mapping study on agent mining
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- Machine translation model for effective translation of Hindi poetries into English
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- An efficient approach for improving virtual machine placement in cloud computing environment
- Maclaurin symmetric mean operators of linguistic intuitionistic fuzzy numbers and their application to multiple-attribute decision-making
- Designing (artificial) people to serve – the other side of the coin
- Optimisation of welding processes using quasi-oppositional-based Jaya algorithm
- Multi-objective optimization of radiotherapy: distributed Q-learning and agent-based simulation
- Automated discovery systems and the inductivist controversy
- Summarisation of weighted networks
- Breast cancer risk assessment and diagnosis model using fuzzy support vector machine based expert system
- Image steganalysis using Artificial Bee Colony algorithm
- A novel metric based on changes in pareto domination ratio for objective reduction of many-objective optimization problems
- Consideration effect of wind farms on the network reconfiguration in the distribution systems in an uncertain environment
- Comparisons of several variants of continuous quantum-inspired evolutionary algorithms
- Efficient determination of the number of weak learners in AdaBoost
- A rough set-based association rule approach implemented on a brand trust evaluation model
- An approach to the language discrimination in different scripts using adjacent local binary pattern
- Time series regression-based pairs trading in the Korean equities market
- A reversible data hiding scheme based on graph neighbourhood degree
- Online/offline evolutionary algorithms for dynamic urban green space allocation problems
- Pseudo almost periodic solutions for neutral type SICNNs with D operator
- Thermal buckling optimisation of composite plates using firefly algorithm
- Possibility-induced simplified neutrosophic aggregation operators and their application to multi-criteria group decision-making
- Metaheuristic optimisation methods for approximate solving of singular boundary value problems
- Projection and bidirectional projection measures of single-valued neutrosophic sets and their decision-making method for mechanical design schemes
- A robust optimisation framework in composite generation and transmission expansion planning considering inherent uncertainties
- DSolving: a novel and efficient intelligent algorithm for large-scale sliding puzzles
- Privacy preservation and authentication on secure geographical routing in VANET
- Segmentation and classification of brain images using firefly and hybrid kernel-based support vector machine
- Measuring an artificial intelligence system’s performance on a Verbal IQ test for young children
- Improving experimental methods on success rates in evolutionary computation
- A novel robust Arabic light stemmer
- Automatic negotiation: playing the domain instead of the opponent
- An imperialist competitive algorithm for virtual machine placement in cloud computing
- Redundancy checking algorithms based on parallel novel extension rule
- Shadow detection of moving objects based on multisource information in Internet of things
- Trust estimation of the semantic web using semantic web clustering
- Symbiotic organisms search algorithm for dynamic economic dispatch with valve-point effects
- Investigating the effect of training–testing data stratification on the performance of soft computing techniques: an experimental study
- A new maximum power tracking in PV system during partially shaded conditions based on shuffled frog leap algorithm
- A bi-population based scheme for an explicit exploration/exploitation trade-off in dynamic environments
- A short note on rough set over dual-universes