yusuke1997/dblp-id-title huggingface dataset:
Multi-objective optimization by technical laws and heuristics
An improvement of chaos-based hash function in cryptanalysis approach: An experience with chaotic neural networks and semi-collision attack
Group based Swarm evolution algorithm (GSEA) driven mental task classifier
Tri-objective hybrid genetic programming for transparent and effective entity matching via optimized similarity measure combination
A novel location-based DNA matching algorithm for hyperspectral image classification
A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection
A novel non-dominated sorting genetic algorithm for solving the triple objective project scheduling problem
A proposition on memes and meta-memes in computing for higher-order learning
Finite-time synchronization of chaotic neural networks with mixed time-varying delays and stochastic disturbance
A neighborhood-assisted evolutionary algorithm for multimodal multi-objective optimization
Distributed mixed variant differential evolution algorithms for unconstrained global optimization
Quantum-Inspired Evolutionary Algorithm for difficult knapsack problems
A random forest assisted evolutionary algorithm using competitive neighborhood search for expensive constrained combinatorial optimization
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment
Self-organizing fuzzy failure diagnosis of aircraft sensors
HMOAM: hybrid multi-objective genetic optimization for facial analysis by appearance model
Architecture for development of adaptive on-line prediction models
Recent advancement of metaheuristic optimization algorithms-based learning for breast cancer diagnosis: a review
A Dimensional Coevolution driven Reproduction Operator for Large Scale Multi-objective Optimization
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
Genetic algorithms with greedy strategy for green batch scheduling on non-identical parallel machines
Scale factor local search in differential evolution
Cell state change dynamics in cellular automata
Fuzzy logic based multi-objective optimization of a multi-agent transit control system
An Adaptive Island Evolutionary Algorithm for the berth scheduling problem
An efficient parallel method for batched OS-ELM training using MapReduce
Extreme learning machine via free sparse transfer representation optimization
Incremental evolution of fast moving and sensing simulated snake-like robot with multiobjective GP and strongly-typed crossover
An improved differential evolution algorithm for solving a distributed assembly flexible job shop scheduling problem
A unified linear convergence analysis of k-SVD
Optimization design method for typical grassland perception robot system
A light-robust-optimization model and an effective memetic algorithm for an open vehicle routing problem under uncertain travel times
Handling equality constraints with agent-based memetic algorithms
A survivable design of last mile communication networks using multi-objective genetic algorithms
Estimation of distribution evolution memetic algorithm for the unrelated parallel-machine green scheduling problem
Attributed Grammatical Evolution with Lookahead for the Multiple Knapsack Problem
Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms
A memetic algorithm for a real-world dynamic pickup and delivery problem
Selecting survivors in genetic algorithm using tabu search strategies
System-in-package design using multi-task memetic learning and optimization
Information sharing impact of stochastic diffusion search on differential evolution algorithm
Adaptive chaotic spherical evolution algorithm
An improved NSGA-III algorithm based on elimination operator for many-objective optimization
Where is the brain inside the brain? - On why artificial neural networks should be developmental
The design of evolutionary feature selection operator for the micro-expression recognition
Thematic issue on "bio-inspired learning for data analysis"
A receding horizon control-based holistic ant colony system approach for multi-runway aircraft arrival sequencing and scheduling
Balancing performance between the decision space and the objective space in multimodal multiobjective optimization
The learnable evolution model in agent-based delivery optimization
Emotion-aware brain storm optimization
Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model
A novelty-search-based evolutionary reinforcement learning algorithm for continuous optimization problems
Blind optimisation problem instance classification via enhanced universal similarity metric
MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution
A memetic-based fuzzy support vector machine model and its application to license plate recognition
Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation
Hierarchicity-based (self-similar) hybrid genetic algorithm for the grey pattern quadratic assignment problem
On composing an algorithm portfolio
Spider Monkey Optimization algorithm for numerical optimization
Tailoring hyper-heuristics to specific instances of a scheduling problem using affinity and competence functions
ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms
Fast reinforcement learning for simple physical robots
Simro-dino: a rotary positional DINO with siamese structure for traffic object detection under adverse conditions
Multifactorial memetic algorithm with adaptive auxiliary tasks for service migration optimization in mobile edge computing
QEA-QCNN: optimization of quantum convolutional neural network architecture based on quantum evolution
Guest Editorial: Special Issue on Nature Inspired Cooperative Strategies for Optimization (Part II)
A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization
A multi-role steered artificial bee colony algorithm with variable dimensionality perturbation for multimodal optimization problems
Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results
Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework
A combined constraint handling framework: an empirical study
A cloud computing based Big-Bang Big-Crunch fuzzy logic multi classifier system for Soccer video scenes classification
Improved visual background extractor with adaptive range change
Rational and self-adaptive evolutionary extreme learning machine for electricity price forecast
On genetic logic circuits: forcing digital electronics standards?
Linear prediction evolution algorithm: a simplest evolutionary optimizer
Tuning membership functions of kernel fuzzy classifiers by maximizing margins
An adaptive matrix-based evolutionary computation framework for EEG feature selection
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid
Decentralized communication, trail connectivity and emergent benefits of ant pheromone trail networks
An ensemble classification approach for melanoma diagnosis
Noising methods with hybrid greedy repair operator for 0-1 knapsack problem
Inferring sparse genetic regulatory networks based on maximum-entropy probability model and multi-objective memetic algorithm
Modelling other agents through evolutionary behaviours
Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain
Multifactorial evolutionary algorithm for solving clustered tree problems: competition among Cayley codes
Solving maximum fuzzy clique problem with neural networks and its applications
Solving large-scale multiobjective optimization via the probabilistic prediction model
A brain storm optimization approach for the cumulative capacitated vehicle routing problem
Navigation of underwater robot based on dynamically adaptive harmony search algorithm
Mathematical modeling and a discrete artificial bee colony algorithm for the welding shop scheduling problem
HAS-EA: a fast parallel surrogate-assisted evolutionary algorithm
A bionic incremental model of the fashion industry value chain based on a multicellular network
Dual transfer learning with generative filtering model for multiobjective multitasking optimization
Multimodal multi-objective optimization with multi-stage-based evolutionary algorithm
A BBO based framework for natural terrain identification in remote sensing
A multi-level prediction and elite individual-assisted evolutionary algorithm for dynamic multi-objective optimization and application
Archive-based multiple feature construction method using adaptive genetic programming
Special issue on nature inspired cooperative strategies for optimization
Benchmarking ordering techniques for nonserial dynamic programming
A novel fuzzy C-means algorithm to generate diverse and desirable cluster solutions used by genetic-based clustering ensemble algorithms
Improved bidirectional extreme learning machine based on enhanced random search
Guest Editorial: Special issue on memetic algorithms with learning strategy
Authenticated media uploading framework for mobile cloud computing
Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization
Guest Editorial: Thematic Issue on 'Metaheuristics for large scale data mining'
Close formation flight of swarm unmanned aerial vehicles via metric-distance brain storm optimization
An efficient local search algorithm for split delivery vehicle routing problem with three-dimensional loading
Solving binary multi-objective knapsack problems with novel greedy strategy
Attention mechanism based adaptive auxiliary task selection for constrained multi-objective optimization and engineering design problems
A comparative study between artificial bee colony (ABC) algorithm and its variants on big data optimization
Decentralized and dynamic group formation of reconfigurable agents
Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data
Fitness based Differential Evolution
Hybrid many-objective cuckoo search algorithm with Lévy and exponential distributions
Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting
The capacitated dispersion problem: an optimization model and a memetic algorithm
Image Denoising with Hybrid Classical-Quantum Convolutional Neural Network
Discrete particle swarm optimization for the team orienteering problem
New advances in digital image processing
A benchmark for cooperative coevolution
Fuzzy optimization approach to component selection of fault-tolerant software system
Stock portfolio optimization based on factor analysis and second-order memetic differential evolution algorithm
Non-revisiting genetic algorithm with adaptive mutation using constant memory
Multiple population-based multi-objective evolutionary semi-supervised multi-kernel region fuzzy clustering image segmentation
A co-evolutionary approach using information about future requests for dynamic vehicle routing problem with soft time windows
An adaptive multiobjective evolutionary algorithm based on grid subspaces
Detection of cotton leaf curl disease's susceptibility scale level based on deep learning
Fair Benchmarking for Cloud Computing systems
The least-used key selection method for information retrieval in large-scale Cloud-based service repositories
Towards cloud based big data analytics for smart future cities
Correction to: Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
Energy-efficient sensory data gathering based on compressed sensing in IoT networks
Efficient and privacy-preserving image classification using homomorphic encryption and chunk-based convolutional neural network
A security event description of intelligent applications in edge-cloud environment
When wavelet decomposition meets external attention: a lightweight cloud server load prediction model
HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning
Multiple objectives dynamic VM placement for application service availability in cloud networks
An improved ACO based service composition algorithm in multi-cloud networks
Memory sharing for handling memory overload on physical machines in cloud data centers
A view of programming scalable data analysis: from clouds to exascale
Reinforcement learning empowered multi-AGV offloading scheduling in edge-cloud IIoT
Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation
Correction: Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications
ABWOA: adaptive boundary whale optimization algorithm for large-scale digital twin network construction
UDL: a cloud task scheduling framework based on multiple deep neural networks
VM consolidation approach based on heuristics, fuzzy logic, and migration control
Exploring cross-cultural and gender differences in facial expressions: a skin tone analysis using RGB Values
Efficient resource allocation and dimensioning of media edge clouds infrastructure
A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment
A novel virtual machine placement algorithm based on grey wolf optimization
Correction to: Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN
Predicting UPDRS in Parkinson's disease using ensembles of self-organizing map and neuro-fuzzy
An approach for multipath optimal selection of network service combinations based on golden eagle optimizer with double learning strategies
Blockchain-cloud privacy-enhanced distributed industrial data trading based on verifiable credentials
Correction: FLM-ICR: a federated learning model for classification of internet of vehicle terminals using connection records
A resource scheduling method for cloud data centers based on thermal management
Efficient online migration mechanism for memory write-intensive virtual machines
Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network
A microservice regression testing selection approach based on belief propagation
Edge computing-oriented smart agricultural supply chain mechanism with auction and fuzzy neural networks
NuWa: off-state tolerant backscattering system with uncontrolled excitation traffics
Robust-PAC time-critical workflow offloading in edge-to-cloud continuum among heterogeneous resources
Performance analysis model for big data applications in cloud computing
Prediction-based VM provisioning and admission control for multi-tier web applications
Privacy-preserving cloud-edge collaborative learning without trusted third-party coordinator
Privacy-enhanced distributed revocable identity management scheme based self-sovereign identity
A cost-efficient content distribution optimization model for fog-based content delivery networks
A resource competition-based truthful mechanism for IoV edge computing resource allocation with a lowest revenue limit
Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps
SEFSD: an effective deployment algorithm for fog computing systems
Multivariate time series collaborative compression for monitoring systems in securing cloud-based digital twin
An autonomic prediction suite for cloud resource provisioning
ConvLSTMConv network: a deep learning approach for sentiment analysis in cloud computing
Real-time scheduling of power grid digital twin tasks in cloud via deep reinforcement learning
ReactiveFnJ: A choreographed model for Fork-Join Workflow in Serverless Computing
Information-theoretic secure rational secret sharing in asynchronous networks for untrusted cloud environments
An ECC-based mutual data access control protocol for next-generation public cloud
Optimized tourist point-of-interest recommendation through ARIMA and SVD in edge environment
A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC system
Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications
Energy-aware MAC protocol for data differentiated services in sensor-cloud computing
Cloud software code generation via knowledge graphs and multi-modal learning
Trusted framework for online banking in public cloud using multi-factor authentication and privacy protection gateway
Correction to: A cloud-oriented siamese network object tracking algorithm with attention network and adaptive loss function
Securing medical image privacy in cloud using deep learning network
An accurate management method of public services based on big data and cloud computing
Hybrid compression-based routing strategies for enhanced energy efficiency in wireless sensor networks
Managing the integration of teaching resources for college physical education using intelligent edge-cloud computing
Categorizing Malware via A Word2Vec-based Temporal Convolutional Network Scheme
Secure end-to-end processing of smart metering data
IO and data management for infrastructure as a service FPGA accelerators
Prediction and diagnosis of cardiovascular disease using cloud and machine learning design
A Transformer-based network intrusion detection approach for cloud security
An efficient population-based multi-objective task scheduling approach in fog computing systems
Adaptive deduplication of virtual machine images using AKKA stream to accelerate live migration process in cloud environment
Energy-efficient deep learning-based intrusion detection system for edge computing: a novel DNN-KDQ model
A SINS/DVL/USBL integrated navigation and positioning IoT system with multiple sources fusion and federated Kalman filter
DRMaestro: orchestrating disaggregated resources on virtualized data-centers
Google Cloud vs. Azure: sentiment analysis accuracy for Polish and English across content types
Image data model optimization method based on cloud computing
Cost modelling and optimisation for cloud: a graph-based approach
Observing the clouds: a survey and taxonomy of cloud monitoring
Privacy preserving model: a new scheme for auditing cloud stakeholders
Revisiting the power of reinsertion for optimal targets of network attack
Data-intensive workflow scheduling strategy based on deep reinforcement learning in multi-clouds
A service oriented broker-based approach for dynamic resource discovery in virtual networks
A privacy protection approach in edge-computing based on maximized dnn partition strategy with energy saving
Intrusion detection in cloud computing based on time series anomalies utilizing machine learning
Generic SDE and GA-based workload modeling for cloud systems
Studying gas exceptions in blockchain-based cloud applications
Evaluation of AI tools for healthcare networks at the cloud-edge interaction to diagnose autism in educational environments
Tourism cloud management system: the impact of smart tourism
Joint task offloading and resource allocation in mobile edge computing with energy harvesting
A hybrid auto-scaling technique for clouds processing applications with service level agreements
Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps
An efficient hybrid optimization of ETL process in data warehouse of cloud architecture
Energy-aware tasks offloading based on DQN in medical mobile devices
Cloud resource orchestration in the multi-cloud landscape: a systematic review of existing frameworks
Cloud-based bug tracking software defects analysis using deep learning
Hadoop and memcached: Performance and power characterization and analysis
Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions
User-controlled resource management in federated clouds
A convolutional neural network based online teaching method using edge-cloud computing platform
Analysis and prediction of virtual machine boot time on virtualized computing environments
A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach
AI-enabled legacy data integration with privacy protection: a case study on regional cloud arbitration court
Making programmable packet scheduling time-sensitive with a FIFO queue
Blockchain based trusted execution environment architecture analysis for multi - source data fusion scenario
Analyzing the availability and performance of an e-health system integrated with edge, fog and cloud infrastructures
Collaborative smart detectors for edge surveillance in cognitive monitoring systems using Kullback-Leibler divergence
Improving cloud storage and privacy security for digital twin based medical records
Investigating performance metrics for container-based HPC environments using x86 and OpenPOWER systems
Federated learning in cloud-edge collaborative architecture: key technologies, applications and challenges
Scalability analysis comparisons of cloud-based software services
Rate-adaptive RDMA congestion control for AI clusters
Intelligent urbanism with artificial intelligence in shaping tomorrow's smart cities: current developments, trends, and future directions
Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm
FSPLO: a fast sensor placement location optimization method for cloud-aided inspection of smart buildings
RPU-PVB: robust object detection based on a unified metric perspective with bilinear interpolation
EDQWS: an enhanced divide and conquer algorithm for workflow scheduling in cloud
Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models
Graph convolution networks for social media trolls detection use deep feature extraction
DEF - a programming language agnostic framework and execution environment for the parallel execution of library routines
Cloud-based deep learning-assisted system for diagnosis of sports injuries
PPO-based deployment and phase control for movable intelligent reflecting surface
Improving datacenter utilization through containerized service-based architecture
CRUPA: collusion resistant user revocable public auditing of shared data in cloud
Tunable consistency guarantees of selective data consistency model
Enhancement of an IoT hybrid intrusion detection system based on fog-to-cloud computing
Cloud computing and its interest in saving energy: the use case of a private cloud
Intelligent code search aids edge software development
Detecting hidden communication threats in cloud systems using advanced pattern and threat propagation analysis
Demystification and near-perfect estimation of minimum gas limit and gas used for Ethereum smart contracts
An enhanced ordinal optimization with lower scheduling overhead based novel approach for task scheduling in cloud computing environment
A financial brokerage model for cloud computing
A secure user authentication protocol for sensor network in data capturing
Towards full network virtualization in horizontal IaaS federation: security issues
The key security management scheme of cloud storage based on blockchain and digital twins
A placement architecture for a container as a service (CaaS) in a cloud environment
Challenges in remote sensing based climate and crop monitoring: navigating the complexities using AI
Virtual machine introspection: towards bridging the semantic gap
Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform
Using blockchain and AI technologies for sustainable, biodiverse, and transparent fisheries of the future
Study on coupling degree of rail transit capacity and land use based on multivariate data from cloud platform
Optimization of datacenter selection through a genetic algorithm-driven service broker policy
Container cascade fault detection based on spatial-temporal correlation in cloud environment