الرئيسية › دليل الباحثين › Karima Benatchba
Karima Benatchba
الانتماء : École Nationale Supérieure d'Informatique
- 103منشورات (انتماء جزائري)
- 121مجموع المنشورات
- 1203الاستشهادات
- 15مؤشر h
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Metaheuristic Optimization Algorithms Research
- Scheduling and Optimization Algorithms
- Evolutionary Algorithms and Applications
- Advanced Clustering Algorithms Research
- Biometric Identification and Security
المنشورات (103)
- An Unsupervised Data-Driven Framework for Bearing Failure Prognosis via Health Stage Clustering and Artificial Neural Network-Based Remaining Useful Life Estimation
- CHEHAB: Automatic Compiler Code Optimization for Fully Homomorphic Encryption
- Green unrelated parallel machine scheduling problem under availability and energy constraints: a bi-objective approach
- HILAL: Hessian-Informed Layer Allocation for Heterogeneous Analog–Digital Inference
- Q-Learning-Based Parameter Control for Energy-Efficient Permutation Flow Shop Scheduling Under Time-of-Use Tariffs
- Q-Learning-based Operator Selection for Energy-Efficient Non-permutation Flow Shop Under Time-of-Use Electricity Tariffs
- LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
- Transferring clique knowledge in multi-objective bee swarm optimization for dynamic community detection
- Manual vs. Automated QUBO Formulations for Flow Shop Scheduling: A Comparative Study on D-Wave and InfinityQ
- Lightening Encrypted Convolutions: A GPU-Optimized Approach to Private Inference
- Prediction of Community Evolution with Com_Tracker Using Tailored Network Splitting and Community Features’ Change Rates
- Refining Community Boundaries in Bee Swarm Optimization for Enhanced Community Detection in Social Networks
- Piecewise Linear Activations for Efficient and Secure Neural Networks with GPU Acceleration
- MOSA-based Q-Learning for the Unrelated Parallel Machine Scheduling Problem with Maintenance Planning
- A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
- On-Device Deep Learning: Survey on Techniques Improving Energy Efficiency of DNNs
- Com_Tracker: a two-phases framework for detecting and tracking community evolution in dynamic social networks
- On Efficiency of Square-Boundaries Chaff Points Generation With Composite Representation in Fingerprint Fuzzy Vault
- Bi-objective unrelated parallel machine scheduling problem under availability and energy constraints
- StreamDD: Stream clustering with Drift Detection
- Deep Learning-Based Gender Classification by Training With Fake Data
- Cooperative Deep Reinforcement Learning for Dynamic Pollution Plume Monitoring Using a Drone Fleet
- Enhancing Explanaibility in AI: Food Recommender System Use Case
- On data selection for the energy efficiency of neural networks: Towards a new solution based on a dynamic selectivity ratio
- Extraction of Association Rules from Data Stream Using Genetic Algorithm
- A Fitness Approximation Assisted Hyper-heuristic for the Permutation Flowshop Problem
- Offline Substitution Machine Learning Model for the Prediction of Fitness of GA-ARM
- Towards Optimal Frequency Plans: A Survey of Frequency Assignment Strategies, Models, and Methods
- Adaptive search space to generate a per-instance genetic algorithm for the permutation flow shop problem
- A Hybrid Artificial Bee Colony Algorithm with Simulated Annealing for Enhanced Community Detection in Social Networks
- A Deep Learning Based Cost Model for Automatic Code Optimization
- Association Rules Mining
- Tailored Network Splitting for Community Evolution Prediction in Dynamic Social Networks
- Performance assessment of biogeography-based multi-objective algorithm for frequency assignment problem
- Optimized multi‐biometric enhancement analysis
- Impact of Tailored Network Splitting and Community Features’ Change Rates on Prediction Accuracy in Dynamic Social Networks
- EPredictor: An Experimental Platform for Community Evolution Prediction Tests
- Solving the Unrelated Parallel Machine Scheduling Problem with Setups Using Late Acceptance Hill Climbing
- A Learning Variable Neighborhood Search Approach for Induction Machines Bearing Failures Detection and Diagnosis
- Feature selection based bee swarm meta-heuristic approach for combinatorial optimisation problems: a case-study on MaxSAT
- Meta-learning to Select the Best Metaheuristic for the MaxSAT Problem
- Two-level parallel CPU/GPU-based genetic algorithm for association rule mining
- Two-level parallel CPU/GPU-based genetic algorithm for association rule mining
- QBSO-FS: A Reinforcement Learning Based Bee Swarm Optimization Metaheuristic for Feature Selection
- Community evolution prediction in dynamic social networks using community features' change rates
- A New Hyper-Heuristic to Generate Effective Instance GA for the Permutation Flow Shop Problem
- Impact of Genetic Algorithms Operators on Association Rules Extraction
- Induction Machines Bearing Failures Detection and Diagnosis using Variable Neighborhood Search
- Unsupervised Learning Bee Swarm Optimization Metaheuristic
- A scheduler for the National Aures Observatory
- Matching Similarity Scores for a Minutiae-based Palmprint Recognition
- Evaluation of Identity Information Loss in EEG-Based Biometric Systems
- Effective Simulated Annealing for the Unrelated Parallel Scheduling Problem with Machine and Sequence-dependent Setup Times.
- Tracking community evolution in social networks: A survey
- Sensitive Analysis of Timeframe Type and Size Impact on Community Evolution Prediction
- Chaff-Points Generation Method Based on Adaptive Genetic Algorithms and Non-Fixed Size Squares Boundaries for Resource Constrained Devices
- Basketball Analytics. Data Mining for Acquiring Performances
- Similarity Measures for Spatial Clustering
- A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions
- Multibiometrics Enhancement Using Quality Measurement in Score Level Fusion
- Classical mechanics-inspired optimization metaheuristic for induction machines bearing failures detection and diagnosis
- Chaff-Points Generation Using Knapsack Problem Resolution in Fingerprint Fuzzy Vault
- Adaptive and dual data-communication trust scheme for clustered wireless sensor networks
- Game theory-based integration of scheduling with flexible and periodic maintenance planning in the permutation flowshop sequencing problem
- Heuristic Based Routing Algorithm for Network on Chip
- Classical Mechanics Optimization for Image Segmentation
- A Dynamic Model to enhance the Distributed Discovery of services in P2P Overlay Networks
- BSO-FS: Bee Swarm Optimization for Feature Selection in Classification
- Efficient distributed discovery and composition of OWL-S process model in P2P systems
- Score Level Fusion Scheme in Hybrid Multibiometric System
- A Critical Comparison of Fingerprint Fuzzy Vault Techniques
- Similarity Flooding for Efficient Distributed Discovery of OWL-S Process Model in P2P Networks
- Multitasking in emotion modelling: Attention Control
- Game theoretic modelling of the integrated production and preventive maintenance scheduling problem in permutation flowshops
- Adaptive Data-Communication Trust Mechanism for Clustered Wireless Sensor Networks
- A bi-objective heuristic for heterogeneous MPSoC design space exploration
- Efficient P2P Approach for a Better Automation of the Distributed Discovery of SWs
- Towards Efficient and Effective Distributed Discovery of SWs in P2P Overlay Networks
- Approche Bi-objectif pour l’Exploration de l’Espace de Conception dans les MPSoC Hétérogènes.
- Extraction method of Region of Interest from hand palm: Application with contactless and touchable devices
- Hybrid Ontology-Based Matching for Distributed Discovery of SWS in P2P Systems
- Adaptive Data-Communication Trust Mechanism for Clustered Wireless Sensor Networks
- Parallel B&B Algorithm for Hybrid Multi-core/GPU Architectures
- Real-coded genetic algorithm parameter setting for cognitive radio adaptation
- HPS5DSWS: A Hybrid P2P Strategy of the Distributed Discovery Mechanism for Semantic Web Services
- Multi-agent financial market simulation: evolutionist approach
- DA5DCSWS: A Distributed Architecture for semantic Web services Discovery and Composition
- Self Organized Biogeography Algorithm for Clustering
- Drivers’ Behaviour Modelling for Virtual Worlds
- Bees for block matching
- A Cooperative Approach Using Ants and Bees for the Graph Coloring Problem
- Initial Public Offering (IPO) Pricing Using a Multi-agent System
- Threats models on biometri systems: A comparative study
- Multi-Agent Liquidity Risk Management in an Interbank Net Settlement System
- INTERBANK PAYMENT SYSTEM (RTGS) SIMULATION USING MULTI-AGENT APPROACH
- Interbank Payment System (RTGS) Simulation Using a Multi-agent Approach
- Using artificial bees to solve partitioning and scheduling problems in codesign
- AntPart: an algorithm for the unsupervised classification problem using ants
- Image segmentation using quantum genetic algorithms
- Using Bees to Solve a Data-Mining Problem Expressed as a Max-Sat One
المؤلفون المشاركون
- Mouloud Koudil
- Fatima Benbouzid-Si Tayeb
- Leila Hamdad
- Narimene Dakiche
- Amar Balla
- Hachemi Nabil Dellys
- Adel Boukhadra
- Souhila Sadeg
- Saliha Artabaz
- Badiâa Hedjazi
- Mohamed Ahmed‐Nacer
- Ahcène Bendjoudi
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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