ScholarWorks@Gachon: Khan, Muhammad Adnan

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Khan, Muhammad Adnan (KHAN MUHAMMAD ADNAN)

College of IT Convergence (Department of Software)

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machine learning:28||deep learning:13||Machine learning:13||DELM:8||Encryption:7||transfer learning:6||convolutional neural network:5||image processing:5||prediction:5||Cloud computing:5||artificial intelligence:5||AlexNet:4||data fusion:4||COVID19:4||Deep learning:4||decryption:4||Federated learning:4||Internet of Things:4||Decryption:4||segmentation:4||artificial neural network:4||encryption:4||IoMT:4||ANN:4||DNA:3||healthcare:3||WHO:3||computer vision:3||blockchain:3||Diseases:3||Intrusion detection system:3||chaos:3||Image processing:3||IoT:3||Coronavirus:3||Feature extraction:3||fuzzy logic:3||smart cities:3||software defect prediction:3||feedforward:3||Software:3||support vector machine:3||Support vector machines:3||Assistive devices:2||Devicetodevice communication:2||learning rate:2||Convolutional neural network:2||decisionbased fusion:2||deep extreme learning machine:2||Histopathology:2||machine learning (ML):2||Convolutional neural network (CNN):2||diabetes prediction:2||Convolutional neural networks:2||Natural language processing:2||Navigation:2||Network slicing:2||SVM:2||medical imaging:2||Biological system modeling:2||Disease prediction:2||Data mining:2||Business intelligence:2||Sensitivity:2||IR sensor:2||Organizations:2||Distributed generation:2||MFIS:2||Fuzzy logic:2||Decision making:2||natural language processing:2||network security:2||5G mobile communication:2||neural network:2||big data:2||Machine learning algorithms:2||Ciphers:2||fuzzy system:2||Prediction algorithms:2||privacy:2||breast cancer prediction:2||Predictive models:2||random forest:2||Mathematical models:2||chess:2||Psychology:2||cloud computing:2||Cellular networks:2||Emotions:2||Systematics:2||Energy consumption:2||Estimation:2||security:2||Text mining:2||information systems:2||Breast cancer classification:2||Tools:2||Realtime systems:2||Collaboration:2||simulation:2||Transfer Learning:2||cryptography:2||Heart disease:2||smart city:2||Trust:2||Trustworthiness:2||Detection:2||DevOps:1||Diabetes:1||Diabetes prediction:1||Diabetic prediction:1||Diabetic symptoms:1||Dibenzyltoluene:1||Discrete wavelet transforms:1||Disease gene association:1||Distance metrics:1||Distributed databases:1||DnCNN:1||Dynamic switch probability:1||EDFFMLA:1||EEG data:1||EFMCDM:1||ESR/CRP:1||Edge computing:1||Edit distance:1||Emerging technologies:1||Ensemble machine learning fusion:1||Euclidean distance:1||Explainable artificial intelligence:1||Extremism:1||FIS:1||FML:1||Facial expression:1||Feature fusion:1||FeedForward Propagation:1||Feedforward propagation:1||File organization:1||FinTech:1||Fingerprint recognition:1||Formal Languages Encryption (FLE):1||Fused machine learning:1||Fused machine learning model:1||Fusion:1||Fusion feature:1||Fuzzy logic system:1||Fuzzy system:1||Generative adversarial network:1||Genetic disorder:1||Genetics:1||Genome disorder:1||Genomics:1||GlyLysPred:1||Gradient descent optimization:1||Grammar:1||HMFIS:1||HSPSVM:1||Habit:1||Hadoop distributed file system:1||Healthcare 5:1||Healthcare applications:1||Heatingload prediction:1||HetNet:1||Heterogeneous chronic disease:1||Heuristic algorithms:1||Hidden Markov models:1||Higher education:1||Hill cipher:1||Holdout Validation:1||HomNet:1||Human computer interaction:1||Human psychology:1||Hydrogen production:1||Hydrogen storage:1||Hypertension:1||IADC:1||ID2SCOVID19DL:1||Image Processing:1||Indexes:1||Indexing:1||Influenza pandemic:1||Information security:1||Intelligent energy management system:1||Intelligent routing between capsules:1||Intelligent system:1||Interference:1||Internet of Medical Things:1||IoT (Internet of Things):1||Kmeans clustering:1||Knearest neighbor:1||Kernel methods:1||Keyframe:1||Kidney stones, Explainable artificial intelligence (XAI):1||Kidneyureterbladder (KUB):1||Knight:1||Knowledgebased prediction:1||LA/IS:1||LSTM:1||LUNA16:1||Labeling:1||Laser Scanner:1||Layerwise relevance propagation (LRP):1||LeNet:1||Leaf smut:1||Length of stay:1||LevenbergMarquardt:1||Licenses:1||LoRaWAN:1||Load modeling:1||Logistics:1||Lung:1||Lung Cancer:1||Lysine glycation:1||MCDM:1||MERSCOV:1||MF:1||MITBIH arrhythmia:1||ML:1||MLMFIS:1||MNIST:1||Machine Learning:1||Machine learning (ML):1||Machine learning fusion:1||Manhattan distance:1||Map:1||Markerbased motion capturing system:1||Markerless motion capturing system:1||Mathematical model:1||Medical data privacy:1||Medical diagnostic imaging:1||Medical sensors:1||Metaheuristics:1||Minimum mean channel error:1||Minimum mean square error:1||Minkowski distance:1||Mis rate:1||Misrate:1||Mobility:1||Mode4 communication:1||Multi Carrier Code Division Multiple Access (MCCDMA):1||Multi User Detection (MUD):1||MultiAgent Systems:1||Multiimage cipher:1||Multiobjective index:1||Multimedia security:1||Multiple Input Multiple Output (MIMO):1||Multipleinput and multipleoutput:1||Multisensory integration:1||Naive Bayes:1||Network traffic:1||Network visualization:1||Neural network:1||Neurofuzzy:1||Object detection:1||Online retail:1||Optimal allocation:1||Orthogonal Frequency Division Multiple Access (OFDMA):1||Outbreak:1||Outsourcing:1||Outsourcing software development:1||PIC:1||Parameter estimation:1||Particle measurements:1||Pediatric epilepsy:1||Performance evaluation:1||Perhydrodibenzyltoluene:1||Personnel:1||Planning:1||Position relative features:1||Posttranslational modification:1||Power generation:1||Probabilistic logic:1||Product:1||Proteins:1||PseAAC:1||QoS parameter:1||RFID (Radio Frequency Identification) reader:1||Radicalization:1||Random forest regression:1||Rationality:1||Reactive power:1||RealTime Sequential Deep Extreme Learning Machine:1||Recognition:1||Regionofinterest:1||Resource allocation:1||Resource management:1||Resubstitution Validation:1||Retransmissions:1||Rice:1||Roman urdu:1||SARSCOVID2:1||SDN:1||SEDWFML:1||SERSCoV:1||SMOIKDANN:1||SMOIKDDEML:1||SMOIKDFLS:1||SMOIKDFLSANNDEML:1||Scaled Conjugate Gradient:1||Search engines:1||Search problems:1||Secret key (SK):1||Secure clinical diagnosis:1||Security:1||Semantic error detection:1||Sensor:1||Sensors:1||Sensory enhancement:1||Sentiment analysis:1||Shill Bidding:1||Sign languages:1||Smart cities:1||Smart city:1||Smart parkinglot detection:1||Social media:1||Socio FIS:1||Sociology:1||Software defect prediction:1||Software engineering:1||Software systems:1||Solid modeling:1||Standards organizations:1||Statistics:1||Streaming media:1||Supply chain:1||Support Vector Machine:1||Support vector machine:1||Switches:1||Systematic Literature Review (SLR):1||Systematic literature review (SLR):1||TD:1||TDIEFLES:1||Task analysis:1||Task planning:1||Theory of Computation (ToC):1||Traffic congestion:1||Training:1||Transfer learning (TL):1||Twitter:1||Ultrasonic sensor:1||Uncertainty:1||User context:1||VGG16:1||Vehicular networks:1||Vibrations:1||Virtual 3D chessboard:1||Virtual groups:1||Visually impaired people:1||Wearable:1||Web application:1||Wind speed:1||Wireless fidelity:1||Wireless internet of sensor networks:1||Xray:1||XOR operation:1||adhoc vehicular network:1||adaptive back propagation neural network:1||adaptive feed forwarded neural network:1||agent:1||alzheimer&apos:1||and HSPSWFML:1||and Scaled conjugate gradient:1||android mobile application and university information.:1||angiogenic:1||ann:1||artificial neural network (ANN):1||aspect level sentiment analysis:1||automated horse identification:1||backpropagation algorithm:1||biosignal:1||bioinformatics:1||biological features:1||bitcoin:1||blockchain technology:1||bone age:1||bottomup attention:1||brain tumor:1||breast cancer:1||breast cancer (BC):1||buyer:1||cancer research:1||cardiovascular:1||challenges and vendor organization:1||chaotic system:1||cipher:1||classification:1||cloud service providers:1||cluster:1||cognition:1||cognitive agent:1||color fundus images:1||computational approaches:1||computed tomography (CT scan):1||confusion:1||congestion prediction:1||contextual analysis:1||convolutional neural network (CNN):1||coronavirus:1||crawling:1||cryptosystem:1||cursive characters:1||cyber attack:1||cyber security:1||data science:1||decision tree:1||decision trees:1||deep extreme:1||deep extreme learning:1||deep extreme machine learning:1||deep learning (DL):1||deep learning model:1||deep neural network:1||demand forecasting:1||diabetic retinopathy:1||diagnosis:1||dibenzyltoluene:1||diffusion:1||disease diagnosis:1||eAuction fraud:1||edge computing:1||electrocardiogram:1||electromagnetic radiation (Xray):1||electronion interaction pseudopotential (EIIP):1||energy:1||ensemble classifier:1||ensemble learning:1||equine biometrics:1||extended kernel recursive least squares:1||feature extraction:1||feature selection:1||feature vector (FV):1||federated learning:1||federated machine learning:1||feedbackward propagation:1||fetal disease:1||fetching:1||file organization:1||finite difference method:1||flower pollination algorithm:1||fog computing:1||forecast pandemic influenza:1||forecasting:1||fraud detection:1||fused approach:1||fusion:1||fuzzy:1||givens rotation:1||gradient boosting classifier:1||gradient descent optimization:1||health care:1||heterogeneous network:1||hierarchical kernel spaces:1||horse identification:1||hybrid artificial intelligent systems:1||hybrid classifier:1||hydrogen storage prediction:1||hydrological model:1||hyperconverged:1||hyperthermia:1||hyperthyroidism:1||hypothyroidism:1||image recognition:1||impact indices:1||indexing:1||indoor things:1||infectious disease:1||influenza pandemic prediction:1||information security:1||intelligent:1||intelligent ammunition detection:1||intelligent behaviour:1||intelligent model:1||intelligent smart lockdown:1||interbody body communication network:1||internet of nanomedical things:1||intrusion detection:1||k neighbor:1||knearest neighbor:1||kernel recursive least squares:1||kidney cancer:1||king:1||leaf disease classification:1||learning rate (LR):1||livestock biometrics:1||livestock identification:1||livestock muzzle pattern identification:1||load balancing:1||logistic regression:1||long short term memory:1||loss rate:1||lung cancer:1||machine learning fusion:1||mackey glass time series prediction:1||magnetic resonance images (MRIs):1||magnetic resonance imaging (MRI):1||malicious activity:1||malignant:1||meddling detection:1||medical image analysis:1||medical images:1||medical resonance imagining:1||middle east respiratory syndrome:1||mild demented:1||mitochondrial gene inheritance disorder:1||mobile edge computing:1||models:1||multiagent system:1||multiclass classification:1||multimodal medical image fusion:1||multinomial naive Bayes:1||multiplekernel learning:1||music:1||mutant particle swarm optimization:1||nCoV:1||naive Bayes:1||nano sensor network:1||nanomedicine:1||nanotherapeutic system:1||network slicing:1||neurons:1||news headline classification:1||online fraud detection:1||optimized features:1||oral cancer:1||oral squamous cell carcinoma:1||osteosarcoma cancer:1||parallel selective attention:1||parameter extraction problem:1||particle swarm optimization:1||personality detection:1||port vector machine:1||power plant:1||precipitation:1||prediction influenza:1||proteinprotein interaction network (PPIN):1||psychophysiological states:1||quality of service:1||rainfall:1||rainfall prediction:1||random forest regression:1||ranking:1||realtime sequential analysis:1||recognition:1||recurrent neural network:1||recursive least squares:1||requirement change management:1||review:1||reviews analysis:1||robust model:1||route decision:1||s 5 step rule:1||s disease (AD):1||saarc:1||sale forecasting:1||salp swarm algorithm:1||see and treat technique:1||seller:1||semantic analysis:1||sentiment analysis:1||serverside:1||service level agreement:1||severe acute respiratory syndrome:1||single and double diode models:1||single gene inheritance gene disorder:1||skew:1||smart decision:1||smart home:1||smart homes:1||smart lockdown:1||smart meters:1||software outsourcing vendor organization:1||songs rating:1||songs reviews:1||south asia:1||square root adaptive filtering:1||square root extended kernel recursive least squares algorithm:1||strands:1||success factors:1||sup:1||supply chain collaboration:1||supply chain information collaboration:1||supply chain performance:1||support vector machine (SVM):1||survey:1||swapping:1||symbolic data:1||systematic literature review:1||systematic literature review (SLR):1||technique:1||text classification:1||things indexer:1||threats:1||time series:1||time varying voltage dependent loads:1||topdown attention:1||topic modeling:1||topological features:1||trabecular bone (TB):1||transfer learning (TL):1||world health organization:1||0:1||yolo:1||1D scrambled image:1||2D chaotic map:1||3D:1||3D scrambled image:1||3G mobile communication:1||5Fold Cross Validation:1||5G cellular networks:1||ABD (lgG):1||AES:1||AI:1||AIoT and pen cipher:1||AWS sage maker:1||Accountability:1||Accuracy:1||Adaptive data rate:1||Adaptive interfaces:1||Agent’s behavior:1||Agriculture:1||Alexnet:1||Amino acids:1||Artificial Agent:1||Artificial Intelligence:1||Artificial Neural Network (ANN):1||Artificial intelligence:1||Artificial intelligence (AI):1||Artificial neural networks:1||Artificial neural network:1||Artificial neural networks:1||Asymmetric:1||Attention mechanism:1||Autism spectrum disorder:1||Automated file labeling:1||Backward Propagation:1||Backward propagation:1||Bacterial leaf blight:1||Bayesian Regularization:1||Bibliographies:1||Bibliometric analysis:1||Big5 Personality Traits:1||Bioinformatics:1||Bit error rate:1||Blockchain:1||Breast cancer:1||Brown spot:1||Business:1||CCTV:1||CGMKL:1||CNN:1||CSFs:1||CTscan:1||CV2X:1||Calibration:1||Cameras:1||Cancer:1||Cardiotocography:1||Castle:1||Cervical cancer:1||Challenges:1||Channel State Information (CSI):1||Channel and multiuser detection:1||Chaotic map:1||Chou&apos:1||Chronic kidney disease:1||CiteSpace:1||Clientside:1||Cognitive nodes:1||Colon:1||Colon Cancer:1||Color:1||Competitive analysis:1||Component based software development:1||Computed tomography:1||Computer science:1||Content analysis:1||ContextFree Grammar (CFG):1||ContextSensitive Grammar (CSG):1||Convergence:1||Convergence time:1||Convolutional Neural Networks:1||Costs:1||Coulomb explosion:1||Covid19:1||Cryptography:1||Ctchest:1||Cultural differences:1||Culture:1||Currency:1||Cyberattacks:1||D2D communication:1||DCDANN:1||DCDDEML:1||DCDMFIS:1||DNA encoding:1||Data Security:1||Data augmentation:1||Data fusion:1||Data models:1||Decision support system:1||Deep Extreme Machine Learning (DEML):1||Deep Learning:1||Deep convolutional neural network:1||Deep extreme learning:1||Deep learning (DL):1||Dempster Shafer Theory:1||DenialofService:1||Depression:1||

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

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