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- Detection of Epilepsy patients using coot optimization based feed forward multilayer neural network
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- Towards face anti-spoofing
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- Deep learning algorithms for solving differential equations: a survey
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- Gated Attention Based Deep Learning Modelfor Analysing the Influence of Social Media on Education
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- Why we need biased AI: How including cognitive biases can enhance AI systems
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- Artificial intelligence for the identification of healthy fruits and vegetables using MMDL-ABO
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- Periodic dynamic on a class of neutral-type Rayleigh equations incorporating D operators
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- Multi-objective optimisation model and hybrid optimization algorithm for Electric Vehicle Charge Scheduling
- KreolStem: A hybrid language-dependent stemmer for Kreol Morisien
- AUTO: supervised learning with full model search and global optimisation
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- Reinforcement with iterative punishment
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- A comparison between the Bayesian network model and the logistic regression model in prevention of the defects on ceramic tiles
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- Anti-periodic stability on a class of neutral-type Rayleigh equations involving D operators
- Preserving sensitive data with deep learning assisted sanitisation process
- Chunk-based incremental feature learning for credit-card fraud data stream
- Blockchain-based privacy preservation framework for healthcare data in cloud environment
- Enhanced type-2 Wang-Mendel Approach
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- A novel e-healthcare diagnosing system for COVID-19 via whale optimization algorithm
- Analogy as a search procedure: a dimensional view
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- Universal approximation with neural networks on function spaces
- Combining bounded solving and controllable randomization for approximate model counting
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- Feature selection based on ACO and knowledge graph for Arabic text classification
- Synthetic Data with Global-Local Level for Adversarial-based Domain Adaptation
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- Development of human decision making model with consideration of human factors through reinforcement learning and prospect utility theory
- A novel Hybrid Harris hawk sine cosine optimization algorithm for reactive power optimization problem
- State observer for coupled cyclic genetic regulatory networks with time delays
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- A novel structure-exploiting encoding for SAT-based diagnosis
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- A novel convolutional Atangana-Baleanu fractional derivative mask for medical image edge analysis
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- A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey
- Towards an energy management system based on a multi-agent architecture and LSTM networks
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- Engineered wisdom for learning machines
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- Understanding the effects of negative (and positive) pointwise mutual information on word vectors
- Escaping the No Free Lunch Theorem: A Priori Advantages of Regret-Based Meta-Induction
- Blind separation of speech from aortic regurgitation signals using Dhoulath’s method
- Radio galaxies classification system using machine learning techniques in the IoT Era
- Video Summarization using Deep Convolutional Neural Networks and Mutual Probability-based K-Nearest Neighbour
- Positive almost periodicity on a n-species food chain system incorporating time-varying delays and polluted environments
- Organising lexica into analogical grids: a study of a holistic approach for morphological generation under various sizes of data in various languages
- Evolutionary multi-objective customer segmentation approach based on descriptive and predictive behaviour of customers: application to the banking sector
- Method for evaluating plan recovery strategies in dynamic multi-agent environments
- AFedAvg: communication-efficient federated learning aggregation with adaptive communication frequency and gradient sparse
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- Projection: a mechanism for human-like reasoning in Artificial Intelligence
- A Novel Approach of Linguistic Picture Fuzzy Dombi Heronian Mean Operators and their Application to Emergency Program Selection
- Ancillary mechanism for autonomous decision-making process in asymmetric confrontation: a view from Gomoku
- Selective AnDE based on attributes ranking by Maximin Conditional Mutual Information (MMCMI)
- Integrated framework for EMD–Boruta-LDA feature extraction and SVM classification in coal and gas outbursts
- A compact MLCP-based projection recurrent neural network model to solve shortest path problem
- AIDrugApp: artificial intelligence-based Web-App for virtual screening of inhibitors against SARS-COV-2
- A Prolog application for reasoning on maths puzzles with diagrams
- A novel machine learning approach for rice yield estimation
- Three-dimensional route planning for multiple unmanned aerial vehicles using Salp Swarm Algorithm
- 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
- A computer aided plant leaf classification based on optimal feature selection and enhanced recurrent neural network
- Utopia constrained multi objective optimisation evolutionary algorithm
- Understanding the intent behind sharing misinformation on social media
- Empirical analyses of genetic algorithm and grey wolf optimiser to improve their efficiency with a new multi-objective weighted fitness function for feature selection in machine learning classification: the roadmap
- Guaranteed cost leaderless consensus for uncertain Markov jumping multi-agent systems
- Fusing clinical and image data for detecting the severity of breast cancer by a novel hierarchical approach
- 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
- Global exponential stability of memristor based uncertain neural networks with time-varying delays via Lagrange sense
- 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
- Robot arm navigation using deep deterministic policy gradient algorithms
- Blockchain based holistic trust management protocol for ubiquitous and pervasive IoT network
- Intelligent computational of Experimental Study of Intermittent Feed High-speed Grinding Method utilising PSO basis FEM Solver
- 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
- Threat detection in Internet of Things using Cuckoo search Chicken Swarm optimisation algorithm
- A novel solution of an elastic net regularisation for dementia knowledge discovery using deep learning
- Predicting focal point solution in divergent interest tacit coordination games
- State-of-the-Art in Automated Story Generation Systems Research
- The role of an ant colony optimisation algorithm in solving the major issues of the cloud computing
- Stability for a retarded impulsive Cohen–Grossberg BAM neural network system
- 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)
- Dynamics analysis of delayed Nicholson-type systems involving patch structure and asymptotically almost periodic environments
- 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
- SPMNet: A light-weighted network with separable pyramid module for real-time semantic segmentation
- Deep asset allocation for trend following investing
- Credit Card Fraud Detection under Extreme Imbalanced Data: A Comparative Study of Data-level Algorithms
- Human detection based on deep learning YOLO-v2 for real-time UAV applications
- Anytime clustering of data streams while handling noise and concept drift
- New findings on global exponential stability of inertial neural networks with both time-varying and distributed delays
- Multi-feature fusion refine network for video captioning
- Cellular automata-based optimised routing for secure data transmission in wireless sensor networks
- A tuned feed-forward deep neural network algorithm for effort estimation
- Collaborative filtering based on multiple attribute decision making
- Detection of AAC compression using MDCT-based features and supervised learning
- Brazilian Forest Dataset: A new dataset to model local biodiversity
- A hybrid optimizer based on backtracking search and differential evolution for continuous optimization
- Fast copula variational inference
- Correlation-based Oversampling aided Cost Sensitive Ensemble learning technique for Treatment of Class Imbalance
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- Topological machine learning for multivariate time series
- Boosting symbiotic organism search algorithm with ecosystem service for dynamic blood allocation in blood banking system
- A systematic mapping study on agent mining
- Hybrid optimisation dependent deep belief network for lane detection
- Machine translation model for effective translation of Hindi poetries into English
- Stability for patch structure Nicholson’s blowflies systems involving distinctive maturation and feedback delays
- Information flow in context-dependent hierarchical Bayesian inference
- A genetic algorithm for supplier selection problem under collaboration opportunities
- A learning-based resource provisioning approach in the fog computing environment
- A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks
- Improving Alzheimer’s disease classification by performing data fusion with vascular dementia and stroke data
- Improved human-object interaction detection through skeleton-object relations
- A new colour image copyright protection approach using evolution-based dual watermarking
- Prediction of fluid interface between dispersed and matrix phases by Lattice Boltzmann-adaptive network-based fuzzy inference system
- Resampling-based noise correction for crowdsourcing
- Global asymptotic stability for discrete-time Cohen-Grossberg neural networks with delays by combining graph theoretic approach with Homeomorphism concept
- Frequency component vectorisation for image dehazing
- A preference degree for ranking k-dimensional vectors of qualitative labels and its application in multi-attribute group decision-making
- Expectations for agents with goal-driven autonomy
- The uncertainty and explainability in object recognition
- ConArgLib: an argumentation library with support to search strategies and parallel search
- Diversity driven multi-parent evolutionary algorithm with adaptive non-uniform mutation
- High-definition map update framework for intelligent autonomous transfer vehicles
- A multi-objective decomposition-based ant colony optimisation algorithm with negative pheromone
- Adaptive chaotic satin bowerbird optimisation algorithm for numerical function optimisation
- A review of approaches for topic detection in Twitter
- Intelligence in cyberspace: the road to cyber singularity
- A linear space adjustment by mapping data into an intermediate space and keeping low level data structures
- ATE-SPD: simultaneous extraction of aspect-term and aspect sentiment polarity using Bi-LSTM-CRF neural network
- Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment
- Online path planning of mobile robot using grasshopper algorithm in a dynamic and unknown environment
- A framework for the analysis and synthesis of Swarm Intelligence algorithms
- Hierarchical age estimation mechanism with adaBoost-based deep instance weighted fusion
- Detection of distributed denial of service attack in cloud computing using the optimization-based deep networks
- Personalised healthcare model for monitoring and prediction of airpollution: machine learning approach
- Double-quantitative decision rough set over two universes and application to African swine fever decision-making
- Performance evaluation of fuzzy clustered case-based reasoning
- Joint extraction of entities and relations based on character graph convolutional network and Multi-Head Self-Attention Mechanism
- A hybrid multiverse optimisation algorithm based on differential evolution and adaptive mutation
- A comprehensive review of moth-flame optimisation: variants, hybrids, and applications
- Global exponential stability of anti-periodic solutions for discontinuous Cohen–Grossberg neural networks with time-varying delays
- Medical diagnosis and treatment is NP-complete
- Linear quadratic optimal control problem with fuzzy variables via neural network
- A non-reduced order approach to stability analysis of delayed inertial genetic regulatory networks
- A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classification
- Detection and classification of landmines using machine learning applied to metal detector data
- Improved butterfly optimisation algorithm based on guiding weight and population restart
- Bi-objective web service composition problem in multi-cloud environment: a bi-objective time-varying particle swarm optimisation algorithm
- Robust H∞ performance for discrete time T-S fuzzy switched memristive stochastic neural networks with mixed time-varying delays
- GSA-LA: gravitational search algorithm based on learning automata
- Individual strategic profiles in tacit coordination games
- Neural network for automatic farm control
- A mobile robot mapping model inspired from the place cells functionality of hippocampus based on dimension reduction technique
- Performance analysis of localisation strategy for island model genetic algorithm in population diversity preservation
- A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata Approach
- A knowledge-driven layered inverse reinforcement learning approach for recognizing human intents
- Global exponential stability on anti-periodic solutions in proportional delayed HIHNNs
- Communicative bottlenecks lead to maximal information transfer
- High-performance attribute reduction on graphics processing unit
- Cat Swarm Fractional Calculus optimization-based deep learning for artifact removal from EEG signal
- A data-driven predictive system using Case-Based Reasoning for the configuration of device-assisted back pain therapy
- Solving the next release problem by means of the fuzzy logic inference system with respect to the competitive market
- Interval-valued pythagorean fuzzy power average-based MULTIMOORA method for multi-criteria decision-making
- Enhanced Optimizer Algorithm and its Application to Software Testing
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- Estimating the weight and the failure load of a spaghetti bridge: a deep learning approach
- Piece-wise max-margin-based discriminative feature learning
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- The Doubly-Bounded Rationality of an Artificial Agent and its Ability to Represent the Bounded Rationality of a Human Decision-Maker in Policy-Relevant Situations
- An extensible circuit-based SAT solver
- An emergent deep developmental model for auditory learning
- MEvo: a framework for effective macro sets evolution
- Analyzing trajectories of learning processes through behaviour-based entropy
- Averaged one-dependence inverted specific-class distance measure for nominal attributes
- Machine learning algorithms for failure prediction and yield improvement during electric resistance welded tube manufacturing
- Recent advances in soft computing and its applications
- Measuring the complexity of migration transition: an attempt using metrics
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- Real-valued syntactic word vectors
- Multi-modal classifier fusion with feature cooperation for glaucoma diagnosis
- Existence and global exponential stability of almost periodic solutions of genetic regulatory networks with time-varying delays
- Spectral feature and optimization- based actor-critic neural network for arrhythmia classification using ECG signal
- Discriminating deception from truth and misinformation: an intent-level approach
- Learning word hierarchical representations with neural networks for document modeling
- A stigmergetic method based on vector pheromone for target search with swarm robots
- Empirical-type simulated annealing for solving the capacitated vehicle routing problem
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- On building a person: benchmarks for robotic personhood
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- An improved multi-objective antlion optimization algorithm for the optimal design of the robotic gripper
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- Population subset selection for the use of a validation dataset for overfitting control in genetic programming
- Adaptive weighted aggregation in Group Improvised Harmony Search for lung nodule classification
- A hybrid BGWO with KPCA for intrusion detection
- A shortlist-based bidirectional local search for the stable marriage problem
- Exponential stability of inertial neural networks involving proportional delays and non-reduced order method
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- Some modified results of the subtraction and division operations on interval neutrosophic sets
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- A computational model of scientific discovery in a very simple world, aiming at psychological realism
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- A multivariate regression approach for identification of SNPs importance in prostate cancer
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- A multi-layer approach to opinion polarity classification using augmented semantic tree kernels
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- Multi-objective mobile robot path planning problem through learnable evolution model
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- A mathematical analysis of improved EigenAnt algorithm
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- A novel Bayesian deep learning methodology for enhanced foetal cardiac signal mining
- An attribute value frequency-based instance weighting filter for naive Bayes
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- Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data
- Designing a system to extract and interpret timed causal sentences in medical reports
- A hierarchical stochastic modelling approach for reconstructing lung tumour geometry from 2D CT images
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- Cascade heterogeneous face sketch-photo synthesis via dual-scale Markov Network
- An adaptive SVSF-SLAM algorithm to improve the success and solving the UGVs cooperation problem
- Are human beings humean robots?
- Classification of ground glass opacity lesion characteristic based on texture feature using lung CT image
- An improved fractal image compression using wolf pack algorithm
- BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection
- Pseudo almost periodic solutions for CNNs with oscillating leakage coefficients and complex deviating arguments
- Rough set classification based on quantum logic
- On transitions in the behaviour of tabu search algorithm TabuCol for graph colouring
- Anthropomorphic reasoning about neuromorphic AGI safety
- Can genetic algorithms help virus writers reshape their creations and avoid detection?
- Volatility forecasting for low-volatility portfolio selection in the US and the Korean equity markets
- Prediction of properties of wheat dough using intelligent deep belief networks
- A comparison of fitness-case sampling methods for genetic programming
- A computer model of context-dependent perception in a very simple world
- Efficient hiding of confidential high-utility itemsets with minimal side effects
- DiMPP: a complete distributed algorithm for multi-agent path planning
- Hybrid learning in signalling games
- 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