ScholarWorks@Gachon: Rehman, Ateeq Ur

Detailed Information

Rehman, Ateeq Ur (Ateeq Ur Rehman)

College of IT Convergence (인공지능학과)

Research Area

Tel
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Machine learning:8||Deep learning:8||Internet of things:5||Artificial intelligence:4||Optimization:4||Convolutional neural network (CNN):3||nonlinear environment:3||Energy efficiency:3||machine learning:3||Transfer learning:3||Resilience:2||Diagnosis:2||Blockchain:2||Feature extraction:2||Wireless sensor networks:2||adaptive system:2||BDI reasoning mechanism:2||Internet of Things:2||Classification:2||intelligent decision support system:2||Random forest:2||Hybrid model:2||multiagent system:2||Accuracy:2||Deep learning (DL):2||Cloud computing:2||Convolutional neural network:2||deep learning:2||ResNet50:2||CNN:1||CNNs:1||COVID19:1||Capsule network (CapsNet):1||Cervical cancer (CC):1||Challenges in statistical methods:1||Channel estimation:1||Chest Xrays:1||Climate change:1||Clustering:1||Coastal cities:1||Colon disease classification:1||Communication networks:1||Communication routing protocol:1||Communication system security:1||Computational efficiency:1||Computational modeling:1||Conditional ensemble method:1||Consensus algorithm:1||Contextawareness:1||Convolutional block attention module (CBAM):1||Convolutional neural networks:1||Convolutional neural networks (CNNs):1||CoordAttention:1||Coplanar waveguides:1||Copyright protection:1||Cyber security:1||Cyber threat detection:1||Cyberphysical system:1||Cybersecurity attack:1||Cybersecurity posture:1||DC rail capacitor:1||DCDC converter:1||DarkNet traffic:1||Data analysis:1||Data models:1||Data privacy:1||Data storage:1||Decision making:1||Decision tree:1||Deep Learning:1||Deep learning (D.L):1||Delays:1||Dermatology:1||Diabetes Mellitus:1||Digital images:1||Digital technologies:1||Distributed Kalman filter:1||Downlink transmission:1||EEG signal analysis:1||Ecological sustainability:1||EfficientNetB7:1||Elastic search:1||Elasticsearch:1||Electronic mail:1||Empowerment:1||Endoscopy:1||Energy Efficiency:1||Energy Pattern Factor (EPF):1||Energy consumption:1||Energy conversion:1||Energy efficiency in higher education:1||Energy efficient:1||Ensemble methods:1||Ensemble technique:1||Ethical AI governance:1||Explainability:1||Explainable AI:1||Feature selection:1||Federated learning:1||Fog computing:1||Forensics:1||Forgery:1||Frequency selective surfaces:1||GCN:1||GEV distribution:1||Gain:1||Gait:1||Generative adversarial networks (GANs):1||Gradient boosting:1||Graph convolutional networks:1||Health:1||Healthcare:1||Heuristic algorithms:1||Human identification:1||IFTTT:1||Image classification:1||Image edge detection:1||Image forensics:1||Image processing:1||Impedance:1||Inclusivity:1||Industry 4.0:1||Insights into customer behavior:1||Intelligent decision support mechanism:1||Internet of Sensor Things:1||Internet of Things (IoT):1||Intrusion detection:1||Intrusion detection system:1||IoT architecture:1||KNearest neighbor:1||KNNAlgorithm:1||Knee osteoarthritis:1||LSTM:1||Lightweight IDS:1||Lithiumion:1||Load aware:1||Localization:1||Location awareness:1||Logistic regression:1||MATLAB:1||MIMO channel estimation:1||Machine Learning:1||Machine learning models:1||Magnetic resonance imaging:1||Mask RCNN:1||Massive MIMO systems:1||Maximum power point tracking (MPPT):1||Medical:1||Medical images:1||Melanoma:1||Metaheuristic algorithms:1||Mobile communication:1||Mobile edge computing:1||MobileNet:1||MobileNetV2:1||Model predictive control:1||Modulation:1||Money plant disease detection:1||Multiagent reinforcement learning:1||Multilevel inverter (MLI):1||NOEPFM:1||NS3:1||Nail classification:1||Nail diseases:1||Naive Bayes:1||Near field communication:1||Network security:1||Neural networks:1||Noninverted and inverted outputs:1||Optical wireless communication:1||Optimal control:1||Outage throughput:1||PDFs:1||Pandemicprone diseases:1||Parallel execution:1||Parallel processing:1||Parkinson disease:1||Persistence behavior:1||Persistent adversary:1||Pneumonia detection:1||Poor:1||Power converters:1||Pretrained model:1||Precision agriculture:1||Prediction:1||Pretrained models:1||Proactive:1||Processor scheduling:1||Prostate Cancer:1||Prostate Segmentation:1||Pulse width modulation:1||Quantum computing:1||Quantum neural network:1||Quantum variational circuit:1||RNN:1||Randomization:1||ReXNet:1||Reconfigurable intelligent surfaces:1||Registry analysis:1||Renewable energy:1||ResNet:1||Residual block:1||Resonant frequency:1||Resource allocation:1||Resource management:1||Resource optimization:1||Reversiblezero watermarking:1||Robotics:1||Routing:1||SIEM:1||SIEM system:1||Scalability:1||Security:1||Security framework:1||Security information and event management:1||Selective harmonics elimination (SHE):1||Servers:1||Sharding:1||SipakMed dataset:1||Situationawareness:1||Skin cancer:1||Skip connection:1||Smart computing devices:1||Smart contract:1||Smart devices:1||SoH:1||Social media:1||Spatial pyramid pooling (SPP):1||Spectral efficiency:1||Sports for <bold>c</bold>limate action (S4CA):1||Squirrel search algorithm (SSA):1||Stacking ensemble:1||Statistical Indicators:1||Statistical analysis:1||Statistical techniques:1||Support vector machine:1||Surface impedance:1||Sustainability:1||Sustainable campus operations:1||Task offloading:1||ThingSpeak:1||Threat hunt:1||Threat hunting:1||Total harmonic distortion (THD):1||Transfer Learning:1||Transforms:1||Transportation:1||Tumors:1||Twilio:1||Types of distributions:1||UNet model:1||UW madison GI tract dataset:1||Ultra wideband antennas:1||Ultrawideband (UWB):1||Underwater wireless sensor network (UWSN):1||Uplink transmission:1||VGG16:1||VGG16:1||VeggNet:1||Voltage and current ripples:1||Voltage and frequency controller:1||Voltage buck operation:1||Weather prediction:1||Weibull Parameters:1||Wind Speed Data:1||Wind power density:1||Wind speed fitting:1||Wireless communication:1||Wireless networks:1||XG boost:1||accuracy rate:1||arithmetic optimization:1||artificial intelligence:1||artificial intelligence (AI):1||artificial neural network:1||attacks in IoT:1||beyond diagonal reconfigurable intelligent surfaces:1||brain disorder:1||classical network:1||cloudfog computing:1||coplanar waveguide (CPW) feed:1||computation offloading:1||convolution neural network:1||cybersecurity:1||deep learning models:1||deep neural network:1||diabetic retinopathy:1||direct acyclic graph:1||energy consumption:1||ensemble model:1||ensemble voting:1||feature extraction:1||feature selection:1||federated learning:1||forensic science:1||frequency selective surface (FSS):1||gain:1||gastrointestinal tract:1||intrusion detection:1||localization:1||machine learning programming:1||maximum power point tracking:1||multi class support vector machine:1||network security:1||oneagainstone:1||oneagainstrest:1||optimization algorithms:1||periodic structure:1||photovoltaic:1||prognostic analysis:1||pulse width modulation:1||quantum circuit:1||quantum transfer learning:1||radiation therapy:1||random forest:1||security:1||segmentation:1||split center resonator (SCR):1||sum rate optimization:1||support vector machine:1||swin transformer:1||transfer learning:1||transportation systems:1||6G:1||zeta c:1||6G mobile communication:1||ACAC converter:1||AIdriven learning:1||Accelerated particle swarm optimization (APSO):1||Acoustic monitoring:1||AdaBoost:1||Adaptive synthetic sampling (ADASYN):1||Algorithmic bias in education:1||Alpha dropout:1||Alzheimer's disease:1||And MobilNet:1||Antennas:1||Artificial fish swarm algorithm (AFSA):1||Atmospheric turbulence:1||Authenticity:1||Batteries:1||Battery management systems:1||Bayesian model averaging:1||Behaviorbased detection:1||Biometric:1||Bipolar output voltage:1||Bit error rate:1||Blockchains:1||Border surveillance:1||Brain modeling:1||Brain tumor:1||Brain tumors:1||CMFD:1||

RSS_1.0 RSS_2.0 ATOM_1.0

1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE