yusuke1997/dblp-id-title huggingface dataset:
An efficient method for group key management in Internet of Things using machine learning approach
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology
Seeking a balance between population diversity and premature convergence for real-coded genetic algorithms with crossover operator
Gaussian mixture model and Bayesian convolutional neural network for abnormal musculoskeletal radiographs classification
CyberNet: a hybrid deep CNN with N-gram feature selection for cyberbullying detection in online social networks
A survey of recent advances in analysis of skin images
Disparity-augmented trajectories for human activity recognition
Optimized machine learning approach for artistic material recognition using evolutionary strategies
Evolution-in-materio: evolving computation in materials
Challenges and opportunities of ambient intelligence (AmI) in the 21st century: a historical review
Cloud model based sine cosine algorithm for solving optimization problems
A survey on dragonfly algorithm and its applications in engineering
An approach for optimal-secure multi-path routing and intrusion detection in MANET
Automated mammogram breast cancer detection using the optimized combination of convolutional and recurrent neural network
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems
A proficient remote information responsibility check protocol in multi-cloud environment
Stochastic PFRCosSim layer for solving filter redundancy problem in CNNs applied on plant disease classification
Sub-classification of invasive and non-invasive cancer from magnification independent histopathological images using hybrid neural networks
A novel giant pacific octopus optimizer for real-world engineering problem
Quantum Entanglement inspired Grey Wolf optimization algorithm and its application
Water distribution system selection with modified fuzzy VIKOR approach based on novel knowledge and accuracy measure
Production system rules as protein complexes from genetic regulatory networks: an initial study
Glowworm swarm based fuzzy classifier with dual features for speech emotion recognition
Single candidate optimizer: a novel optimization algorithm
A memetic quantum-inspired genetic algorithm based on tabu search
Train RBF networks with a hybrid genetic algorithm
Investigation of Kriging-based SAEAs' metamodel samples for computationally expensive optimization problems
The novel multi-swarm coyote optimization algorithm for automatic skin lesion segmentation
Cardiomyopathy -induced arrhythmia classification and pre-fall alert generation using Convolutional Neural Network and Long Short-Term Memory model
A generic scheme for cyber security in resource constraint network using incomplete information game
Automatic segmentation of sub-acute ischemic stroke lesion by using DTCWT and DBN with parameter fine tuning
Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models
Smadasyn-boosted cross-project transfer learning for effective security fault prediction"
A node-priority based large-scale overlapping community detection using evolutionary multi-objective optimization
A multi-objective approach for solving transmission expansion planning problem considering wind power uncertainty
Optimising SMIB system stability: FOPID controller tuning via Harris hawks optimisation
FogFire: fog assisted IoT enabled forest fire management
A new framework to locate, connect and share mobile web services through intelligence techniques
Sparse-FCM and deep learning for effective classification of land area in multi-spectral satellite images
SOMDROID: android malware detection by artificial neural network trained using unsupervised learning
Diverse activation functions based-hybrid RBF-ELM neural network for medical classification
Retraction Note: FPGA logic design method based on multi resolution image real time acquisition system
Surrogate-assisted evolutionary optimisation: a novel blueprint and a state of the art survey
Towards robot vision using deep neural networks in evolutionary robotics
Marine predators social group optimization: a hybrid approach
Oppositional elephant herding optimization with dynamic Cauchy mutation for multilevel image thresholding
Advanced hybrid color image encryption utilizing novel chaotic neural network and 5D-hyperchaotic system
An artificial fish swarm algorithm for a multi-objective grain transportation problem
Quadratic assignment problem: a landscape analysis
A novel disruption based symbiotic organisms search to solve economic dispatch
Multi-scale multi-stream deep network for car logo recognition
Fuzzy differential equations: conceptual interpretations
Artificial intelligence techniques to predict the performance of teachers for kindergarten: Iraq as a case study
A flower pollination algorithm based Chebyshev polynomial neural network for net asset value prediction
A new method for building single feedforward neural network models for multivariate static regression problems: a combined weight initialization and constructive algorithm
A parallel classification framework for protein fold recognition
Accelerating IEC and EC searches with elite obtained by dimensionality reduction in regression spaces
Multi-objective social group optimization for machining process
The hub location's method for solving optimal control problems
Surrogate-assisted clonal selection algorithms for expensive optimization problems
A comprehensive review of optimization approaches of district cooling systems
An evolutionary robotics approach for the distributed control of satellite formations
Ensemble deep learning system for early breast cancer detection
MCOA: mutated and self-adaptive cuckoo optimization algorithm
sqFm: a novel adaptive optimization scheme for deep learning model
Development of statistical estimators for speech enhancement using multi-objective grey wolf optimizer
Knowledge extraction and rule set compaction in XCS for non-Markov multi-step problems
A deep contractive autoencoder for solving multiclass classification problems
Data driven intelligent action recognition and correction in sports training and teaching
Real-time application of swarm and evolutionary algorithms for line follower automated guided vehicles: a comprehensive study
A new bats echolocation-based algorithm for single objective optimisation
A chaotic adaptive butterfly optimization algorithm
Research on effective jamming style of projectile-carried communication for FH communication radio under common modulation systems
Multi-resolution analysis and deep neural network architecture based hybrid feature extraction technique for plant disease identification and severity estimation
GPU implementation of a road sign detector based on particle swarm optimization
Study on the influence of different menu sizes on the operation performance of touch screen
Beyond black-box optimization: a review of selective pressures for evolutionary robotics
Optimal sensor placement for modal identification of large truss structures using the Circle-Inspired Optimization Algorithm
Cat hunting optimization algorithm: a novel optimization algorithm
MOSA/D: Multi-operator evolutionary many-objective algorithm with self-adaptation of parameters based on decomposition
Particle swarm optimization for solving a scan-matching problem based on the normal distributions transform
A space transformational crow search algorithm for optimization problems
Node positioning based on IPSO-IDE in WSNs
Efficient power generation in microgrids: an advanced optimization framework for improved operations
Enhancing decision-making with large language models: context and sensitivity analysis
Prediction method of intelligent building electricity consumption based on deep learning
Min-max kurtosis mean distance based k-means initial centroid initialization method for big genomic data clustering
Holoentropy based Correlative Naive Bayes classifier and MapReduce model for classifying the big data
Evolutionary intelligence techniques for humanized computing
Node capability dependency importance evaluation of heterogeneous target operational network
A new approach for social navigation and interaction using a dynamic proxemia modeling
Decision-making and coordination of green supply chain with corporate social responsibility under loss aversion
Special issue on simulated evolution and learning
Genetic algorithm for quality of service based resource allocation in cloud computing
A node to node security for sensor nodes implanted in cross cover multi-layer architecture using Mc-Nie algorithm
A clustering-based coevolutionary multi-objective evolutionary algorithm for handling robust and noisy optimization
Optimal feature subset selection for MRI brain tumor classification using improved ant-lion optimization
Niching comprehensive learning gravitational search algorithm for multimodal optimization problems
A hybrid classification model for prediction of academic performance of students: a big data application
Minimum landmarks for robot localization in orthogonal environments
Protein remote homology detection combining PCA and multiobjective optimization tools
Performance evaluation of multilevel inverter based hybrid active filter using soft computing techniques
Exploring the solutions via Retinex enhancements for fruit recognition impacts of outdoor sunlight: a case study of navel oranges
Evolutionary kernel machines
A brief history of learning classifier systems: from CS-1 to XCS and its variants
Anatomy of a portfolio optimizer under a limited budget constraint
SELF: a stacked-based ensemble learning framework for breast cancer classification
Special issue on advances in Learning Classifier Systems
A work load prediction strategy for power optimization on cloud based data centre using deep machine learning
A new hybrid optimization technique based on antlion and grasshopper optimization algorithms
Construction of cascaded depth model based on boosting feature selection and classification
Just noticeable difference color space consistency spectral clustering based on firefly algorithm for image segmentation
Evolutionary self-adaptation: a survey of operators and strategy parameters
Basketball assisted teaching in instructional videos based on Mobile Edge Computing
Impact analysis of platform positioning and orientation error on warship weapon target strike
Feature selection for speaker verification using genetic programming
modSwish: a new activation function for neural network
Study on the influence of different color temperature and illumination environment on cognitive processing depth
Enhancing load bearing capacity of alkaline soil with agricultural and industrial waste by the stabilization process
MRI-based brain tumor detection using the fusion of histogram oriented gradients and neural features
A modified teaching learning metaheuristic algorithm with opposite-based learning for permutation flow-shop scheduling problem
Optimized coverage-aware trajectory planning for AUVs for efficient data collection in underwater acoustic sensor networks
Evolutionary optimization for enhanced self-supervised learning: leveraging genetic algorithms for representation learning
Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system
A staged approach to evolving real-world UAV controllers
Artificial neural network-based positioning error modeling and compensation for low-cost encoders of four-wheeled vehicles
DSKN: Deep Spiking Kronecker Network for leaf type classification and multi-class leaf disease detection in internet of things based sustainable agriculture
Neuroevolution: from architectures to learning
Self organizing classifiers: first steps in structured evolutionary machine learning
Diversity enhanced Equilibrium Optimization algorithm for solving unconstrained and constrained optimization problems
Fuzzy dragon deep belief neural network for activity recognition using hierarchical skeleton features
Voltage stability constrained transmission network expansion planning using fast convergent grey wolf optimization algorithm
Structural reliability optimization model with credibilistic safety constraint
Meta-heuristic approach to proportional fairness
Fingerprint image denoising and inpainting using generative adversarial networks
Optimal allocation of water resources in Guyuan City based on improved NSGA-III algorithm
Uncertain inference network in evidential reasoning
Multi-agent path planning with nonlinear restrictions
Neural network with adaptive evolutionary learning and cascaded support vector machine for fault localization and diagnosis in power distribution system
An interdisciplinary perspective on artificial immune systems
Hermit crab shell exchange algorithm: a new metaheuristic
Predicting the pandemic: sentiment evaluation and predictive analysis from large-scale tweets on Covid-19 by deep convolutional neural network
An efficient system model to minimize signal interference and delay in mobile cloud environment
Investigating the use of an ensemble of evolutionary algorithms for letter identification in tremulous medieval handwriting
New directions for security attacks, privacy, and malware detection in WBAN
Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms
Location estimation of non-geo-tagged tweets
An evolutionary multitasking optimization algorithm via reference-point based nondominated sorting approach
Addressing class imbalance in remote sensing using deep learning approaches: a systematic literature review
Hybrid deep semantic query expansion using multi-objective fireworks-transformer optimization: a reinforcement learning approach
A comprehensive review of optimization, market strategies, and AI applications in energy storage systems
Parameters tuning of a quadrotor PID controllers by using nature-inspired algorithms
Automated face retrieval using bag-of-features and sigmoidal grey wolf optimization
Big data-driven english teaching for social media: a neural network-based approach
COVID-19 severity detection using machine learning techniques from CT-images
Design of distributed temperature-measuring system based on 1-wire bus for ultra-kilometre frozen deep well
Log-periodic power law hybrid model based on BP neural network
Data-driven weight initialization strategy for convolutional neural networks
Gaussian hybrid fuzzy clustering and radial basis neural network for automatic brain tumor classification in MRI images
Dynamic crow search algorithm based on adaptive parameters for large-scale global optimization
Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits
Bezier-based exploration and hexagonal crossover exploitation: a novel metaheuristic approach
Crow search algorithm with discrete wavelet transform to aid Mumford Shah inpainting model
On the cryptanalysis of S-DES using nature inspired optimization algorithms
DBFS: Dragonfly Bayes Fusion System to detect the tampered JPEG image for forensic analysis
Multi-moth flame optimization for solving the link prediction problem in complex networks
Student psychology based optimization algorithm integrating differential evolution and hierarchical learning for solving data clustering problems
Multi-criteria decision making in linguistic values of neutrosophic trapezoidal fuzzy multi-numbers
An extreme learning machine model based on adaptive multi-fusion chaotic sparrow search algorithm for regression and classification
Rb-based: link prediction based on the resource broadcast of nodes for complex networks
Imbalanced data classification algorithm with support vector machine kernel extensions
An initialization method for the latent vectors in probabilistic matrix factorization for sparse datasets
Track and field training state analysis based on acceleration sensor and deep learning
Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization
A generalized trust establishment model architecture for designing robust trust establishment models
An improved image clustering algorithm based on Kernel method and Tchebychev orthogonal moments
A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems
Solving the capacitated facility location problem with service distance and outsourcing using a customized artificial bee colony algorithm
Improving adaptive large neighborhood search: an evaluation of parallel approaches with deep learning integration
A novel method for high-level synthesis of datapaths in digital filters using a moth-flame optimization algorithm
A novel artificial electric field strategy for economic load dispatch problem with renewable penetration
Detection of Parkinson's disease from handwriting using deep learning: a comparative study
Classify four imagined objects with EEG signals
Towards the design of vision-based intelligent vehicle system: methodologies and challenges
Genetic type-2 fuzzy local search (GT2FLS) optimization algorithm in multiobjective transportation models
Evolutionary approaches for the weighted anti-covering location problem
A cognitive mechanism for mitigating DDoS attacks using the artificial immune system in a cloud environment
A neural network approach for the solution of Van der Pol-Mathieu-Duffing oscillator model
Convolutional neural network-based feature extraction using multimodal for high security application
Mutual information for feature selection: estimation or counting?
3D path planning for a robot based on improved ant colony algorithm
Operational probability aware mission planning on expression trees using evolutionary computation
Design of deer hunting optimization algorithm for accurate 3D indoor node localization
Generic model for automated player selection for cricket teams using recurrent neural networks
Use a sequential gradient-enhanced-Kriging optimal experimental design method to build high-precision approximate model for complex simulation problem
Flower pollination algorithm with pollinator attraction
Hybrid meta-heuristic solving no-wait flow shop scheduling minimizing maximum tardiness
A collaborative use of two metaheuristic methods using Q-learning for the travelling salesman problems in different fields: an application to smart home delivery system
Mobile robot monocular vision-based obstacle avoidance algorithm using a deep neural network
Structural hole detection based on weighted meta path in heterogeneous networks
Strengthened teaching-learning-based optimization algorithm for numerical optimization tasks
SOS 2.0: an evolutionary approach for SOS algorithm
Evolving dictionary based sentiment scoring framework for patient authored text
A fair and efficient resource sharing scheme using modified grey wolf optimizer
A robust feature selection method based on meta-heuristic optimization for speech emotion recognition
Binary Artificial Electric Field Algorithm
Hybrid optimization algorithm for task scheduling and virtual machine allocation in cloud computing
Artificial immune optimization system solving constrained omni-optimization
Datastreams and beyond, from traditional approaches to quantum: a comprehensive survey
Design and analysis of behaviour based DDoS detection algorithm for data centres in cloud
A direct method for solving calculus of variations problems using the whale optimization algorithm
Evolutionary multitasking algorithm based on a dynamic solution encoding strategy for the minimum s-club cover problem
Improving the reliability of real-time embedded systems using innate immune techniques
A multi-analysis on privacy preservation of association rules using hybridized approach
Adaptive wideband sensing scheme based on Bayesian experimental design
Privacy-preserving data aggregation in WBNAs using neuro-evolutionary algorithms and post-quantum homomorphic encryption
Automated cloud service based quality requirement classification for software requirement specification
Function approximation with LWPR and XCSF: a comparative study
Towards fair machine learning using combinatorial methods
A three-stage PSO-based methodology for tuning an optimal PD-controller for robotic arm manipulators
An adaptive hybrid algorithm for social networks to choose groups with independent members
Structure optimization method based on automatic vectorization
MC/DC guided Test Sequence Prioritization using Firefly Algorithm
Histogram-based comparison of metric spaces using HMMs
The Anglerfish algorithm: a derivation of randomized incremental construction technique for solving the traveling salesman problem
Aero engines remaining useful life prediction based on enhanced adaptive guided differential evolution
A review of recent advances in quantum-inspired metaheuristics
Sequential problems that test generalization in learning classifier systems
Damage identification in structure elements by grasshopper optimization algorithm using dynamic structure behaviors
A new ant stridulation-based local search for combinatorial optimization problems
A new improved Newton metaheuristic algorithm for solving mathematical and structural optimization problems
Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task
Spam review detection using spiral cuckoo search clustering method
DEL: a strategy for resolving redundancy in entity pairs within dual entity linker for relational triple extraction
Chaotic gradient based optimizer for solving multidimensional unconstrained and constrained optimization problems
Energy aware cluster-based routing in WSN using hybrid pelican-blue monkey optimization algorithm
New localization approach based on the development of a personalized dynamic model for a car-like vehicle "Robucar"
Presenting a novel hybrid method for dynamic economic/emission dispatch considering renewable energy units and energy storage systems
Mesh smoothing of complex geometry using variations of cohort intelligence algorithm
A chance constrained programming model and an improved large neighborhood search algorithm for the electric vehicle routing problem with stochastic travel times
Optimal feature selection through a cluster-based DT learning (CDTL) in heart disease prediction
Evolutionary computation as an artificial attacker: generating evasion attacks for detector vulnerability testing
Driver drowsiness detection using modified deep learning architecture
Exploratory analysis of an on-line evolutionary algorithm in simulated robots
Robotic vision based obstacle avoidance for navigation of unmanned aerial vehicle using fuzzy rule based optimal deep learning model
Integration of metaheuristic operators through unstructured evolutive game theory approach: a novel hybrid methodology
Probrank: a feature probability estimation-based framework for feature selection and ranking
Evolutionary intelligence for brain tumor recognition from MRI images: a critical study and review
The analysis and research of STEAM education based on the TAM algorithm model to improve the learning effectiveness of higher vocational engineering students
Social Internet of Things: a novel selection approach for dynamic resources substitution
Reactivable ripple spreading algorithm for solving post-flood disaster inspection routing problem
Lunar cycle inspired PSO for single machine total weighted tardiness scheduling problem
Enhanced statistical nearest neighbors with steerable pyramid transform for Gaussian noise removal in a color image
Optimized regularized linear discriminant analysis for feature extraction in face recognition
A new algorithm for time series prediction using machine learning models
Improved swin transformer-based defect detection method for transmission line patrol inspection images
Assessment of uncertainties in stock exchange market using Pythagorean hesitant fuzzy Sugeno-Weber aggregation operators
Correction to: Emotion recognition of speech signal using Taylor series and deep belief network based classification
Reconstructing biological gene regulatory networks: where optimization meets big data
A survey of energy-aware cluster head selection techniques in wireless sensor network