| S.No | CODE | Python Projects | |
|---|---|---|---|
| Cancer Oriented | |||
| 1 | PYTHON01 | Automated_Segmentation_of_Brain_Tumor_MRI_Images_using_Deep_Learning | |
| 2 | PYTHON02 | DeepSkin_A_Deep_Learning_Approach_for_Skin_Cancer_Classification | |
| 3 | PYTHON03 | Comprehensive_Readability_Assessment_of_Scientific_Learning_Resources | |
| 4 | PYTHON04 | Decoding_Reinforcement_Learning_for_Newcomers | |
| 5 | PYTHON05 | Early_Predicting_of_Students_Performance_in_Higher_Education | |
| 6 | PYTHON06 | Inferring_Students_Self-Assessed_Concentration_Levels_in_Daily_Life_Using_Biosignal_Data_From_Wearables | |
| 7 | PYTHON07 | Student_Performance_Patterns_in_Engineering_at_the_University_of_Johannesburg_An_Exploratory_Data_Analysis | |
| Cloud Computing | |||
| 8 | PYTHON08 | A_Secure_Cloud-Edge_Collaborative_Fault-Tolerant_Storage_Scheme_and_Its_Data_Writing_Optimization | |
| 9 | PYTHON09 | An_Improved_Design_for_a_Cloud_Intrusion_Detection_System_Using_Hybrid_Features_Selection_Approach_With_ML_Classifier | |
| 10 | PYTHON10 | Energy-Efficient_and_Security-Aware_Task_Offloading_for_Multi-Tier_Edge-Cloud_Computing_Systems | |
| 11 | PYTHON11 | False-Bottom_Encryption_Deniable_Encryption_From_Secret_Sharing | |
| 12 | PYTHON12 | Leveraging_Sparse_Auto-Encoding_and_Dynamic_Learning_Rate_for_Efficient_Cloud_Workloads_Prediction | |
| 13 | PYTHON13 | Precise_Approximation_of_Convolutional_Neural_Networks_for_Homomorphically_Encrypted_Data | |
| Data Science | |||
| 14 | PYTHON14 | Willingness_Maximization_for_Ego_Network_Data_Extraction_in_Multiple_Online_Social_NetworksA_Graph_and_Attentive_Multi-Path_Convolutional_Network_for_Traffic_Prediction | |
| 15 | PYTHON15 | A_Hybrid_Spiking_Neurons_Embedded_LSTM_Network_for_Multivariate_Time_Series_Learning_Under_Concept-Drift_Environment | |
| 16 | PYTHON16 | An_Investigation_of_SMOTE_Based_Methods_for_Imbalanced_Datasets_With_Data_Complexity_Analysis | |
| 17 | PYTHON17 | AutoSrh_An_Embedding_Dimensionality_Search_Framework_for_Tabular_Data_Prediction | |
| 18 | PYTHON18 | BGNN-XML_Bilateral_Graph_Neural_Networks_for_Extreme_Multi-Label_Text_Classification | |
| 19 | PYTHON19 | Bloom_Filter_With_Noisy_Coding_Framework_for_Multi-Set_Membership_Testing | |
| 20 | PYTHON20 | Classification-Labeled_Continuousization_and_Multi-Domain_Spatio-Temporal_Fusion_for_Fine-Grained_Urban_Crime_Prediction | |
| 21 | PYTHON21 | Collecting_Geospatial_Data_Under_Local_Differential_Privacy_With_Improving_Frequency_Estimation | |
| 22 | PYTHON22 | Continuous_Geo-Social_Group_Monitoring_in_Dynamic_LBSNs | |
| 23 | PYTHON23 | Cross-Domain_Meta-Learner_for_Cold-Start_Recommendation | |
| 24 | PYTHON24 | DDRM_A_Continual_Frequency_Estimation_Mechanism_With_Local_Differential_Privacy | |
| 25 | PYTHON25 | Disentangled_Graph_Neural_Networks_for_Session-Based_Recommendation | |
| 26 | PYTHON26 | Finding_High-Quality_Item_Attributes_for_Recommendation | |
| 27 | PYTHON27 | GCCAD_Graph_Contrastive_Coding_for_Anomaly_Detection | |
| 28 | PYTHON28 | Graph_Neural_Networks_for_Missing_Value_Classification_in_a_Task-Driven_Metric_Space | |
| 29 | PYTHON29 | Hierarchical_Adaptive_Temporal_Relational_Interaction_for_Stock_Trend_Prediction | |
| 30 | PYTHON30 | Multi-Faceted_Knowledge-Driven_Pre-Training_for_Product_Representation_Learning | |
| 31 | PYTHON31 | Multiple_Kernel_Subspace_Learning_for_Clustering_and_Classification | |
| 32 | PYTHON32 | Personalized_Dynamic_Counter_Ad-Blocking_Using_Deep_Learning | |
| 33 | PYTHON33 | Profit_Optimization_in_Spatial_Crowdsourcing_Effectiveness_and_Efficiency | |
| 34 | PYTHON34 | Rel-CNN_Learning_Relationship_Features_in_Time_Series_for_Classification | |
| 35 | PYTHON35 | ST-ExpertNet_A_Deep_Expert_Framework_for_Traffic_Prediction | |
| 36 | PYTHON36 | Time-Aware_Context-Gated_Graph_Attention_Network_for_Clinical_Risk_Prediction | |
| 37 | PYTHON37 | Trust-Aware_Multi-Task_Knowledge_Graph_for_Recommendation | |
| 38 | PYTHON38 | Multi-Faceted_Knowledge-Driven_Pre-Training_for_Product_Representation_Learning | |
| Disease oriented | |||
| 39 | PYTHON39 | A_Hybrid_Convolutional_Neural_Network_Model_for_Automatic_Diabetic_Retinopathy_Classification_From_Fundus_Images | |
| 40 | PYTHON40 | A_Novel_Enhanced_VGG16_Model_to_Tackle_Grapevine_Leaves_Diseases_With_Automatic_Method | |
| 41 | PYTHON41 | Automatic_Segmentation_of_Kidney_Volume_Using_Multi-Module_Hybrid_Based_U-Shape_in_Polycystic_Kidney_Disease | |
| 42 | PYTHON42 | Classification_of_Diabetic_Retinopathy_Disease_Levels_by_Extracting_Topological_Features_Using_Graph_Neural_Networks | |
| 43 | PYTHON43 | Corn_Leaf_Diseases_Diagnosis_Based_on_K-Means_Clustering_and_Deep_Learning | |
| 44 | PYTHON44/td> | Crop_Disease_Recognition_Based_on_Modified_Light-Weight_CNN_With_Attention_Mechanism | |
| 45 | PYTHON45 | Date_Fruit_Classification_for_Robotic_Harvesting_in_a_Natural_Environment_Using_Deep_Learning | |
| 46 | PYTHON46 | Deep_Learning_Approach_for_Apple_Edge_Detection_to_Remotely_Monitor_Apple_Growth_in_Orchards | |
| 47 | PYTHON47 | Early_Disease_Classification_of_Mango_Leaves_Using_Feed-Forward_Neural_Network_and_Hybrid_Metaheuristic_Feature_Selection | |
| 48 | PYTHON48 | MLP-UNet_Glomerulus_Segmentation | |
| 49 | PYTHON49 | Multi-Class_Retinal_Diseases_Detection_Using_Deep_CNN_With_Minimal_Memory_Consumption | |
| 50 | PYTHON50 | Same-Subject-Modalities-Interactions_A_Novel_Framework_for_MRI_and_PET_Multi-Modality_Fusion_for_Alzheimers_Disease_Classification | |
| 51 | PYTHON51 | Weed_Density_and_Distribution_Estimation_for_Precision_Agriculture_Using_Semi-Supervised_Learning | |
| 52 | PYTHON52 | Weed_Identification_Using_Deep_Learning_and_Image_Processing_in_Vegetable_Plantation | |
| 53 | PYTHON53 | YOLO-Based_Deep_Learning_Framework_for_Olive_Fruit_Fly_Detection_and_Counting | |
| 54 | PYTHON54 | Glaucoma | |
| Machine Learning | |||
| 55 | PYTHON55 | A_Data-Driven_Smart_Evaluation_Framework_for_Teaching_Effect_Based_on_Fuzzy_Comprehensive_Analysis | |
| 56 | PYTHON56 | Artificial_Neural_Network_Based_Audio_Reinforcement_for_Computer_Assisted_Rote_Learning | |
| 57 | PYTHON57 | Comprehensive_Readability_Assessment_of_Scientific_Learning_Resources | |
| 58 | PYTHON58 | Decoding_Reinforcement_Learning_for_Newcomers | |
| 59 | PYTHON59 | Early_Predicting_of_Students_Performance_in_Higher_Education | |
| 60 | PYTHON60 | Inferring_Students_Self-Assessed_Concentration_Levels_in_Daily_Life_Using_Biosignal_Data_From_Wearables | |
| 61 | PYTHON61 | Student_Performance_Patterns_in_Engineering_at_the_University_of_Johannesburg_An_Exploratory_Data_Analysis | |
| Machine Learning | |||
| 62 | PYTHON62 | Means_Clustering_Machine_Learning_Approach_Reveals_Groups_of_Homogeneous_Individuals_With_Unique_Brain_Activation_Task_and_Performance_Dynamics_Using_fNIRS | |
| 63 | PYTHON63 | MaizeNet_A_Deep_Learning_Approach_for_Effective_Recognition_of_Maize_Plant_Leaf_Diseases | |
| 64 | PYTHON64 | MLP-UNet_Glomerulus_Segmentation | |
| 65 | PYTHON65 | Role_of_Artificial_Intelligence_in_Online_Education_A_Systematic_Mapping_Study | |
| 66 | PYTHON66 | A_3D_Cross-Modality_Feature_Interaction_Network_With_Volumetric_Feature_Alignment_for_Brain_Tumor_and_Tissue_Segmentation | |
| 67 | PYTHON67 | BowelNet_Joint_Semantic-Geometric_Ensemble_Learning_for_Bowel_Segmentation_From_Both_Partially_and_Fully_Labeled_CT_Images | |
| 68 | PYTHON68 | Childhood_Leukemia_Classification_via_Information_Bottleneck_Enhanced_Hierarchical_Multi-Instance_Learning | |
| 69 | PYTHON69 | Deep_Multitask_Learning_by_Stacked_Long_Short-Term_Memory_for_Predicting_Personalized_Blood_Glucose_Concentration | |
| 70 | PYTHON70 | Federated_Learning_With_Privacy-Preserving_Ensemble_Attention_Distillation | |
| 71 | PYTHON71 | Federated_Partially_Supervised_Learning_With_Limited_Decentralized_Medical_Images | |
| 72 | PYTHON72 | FedMix_Mixed_Supervised_Federated_Learning_for_Medical_Image_Segmentation | |
| 73 | PYTHON73 | LE-UDA_Label-Efficient_Unsupervised_Domain_Adaptation_for_Medical_Image_Segmentation | |
| 74 | PYTHON74 | LE-UDA_Label-Efficient_Unsupervised_Domain_Adaptation_for_Medical_Image_Segmentation | |
| 75 | PYTHON75 | SASG-GCN_Self-Attention_Similarity_Guided_Graph_Convolutional_Network_for_Multi-Type_Lower-Grade_Glioma_Classification | |
| 76 | PYTHON76 | Stress_Detection_Through_Wrist-Based_Electrodermal_Activity_Monitoring_and_Machine_Learning | |
| 77 | PYTHON77 | A_Lightweight_and_Multi-Stage_Approach_for_Android_Malware_Detection_Using_Non-Invasive_Machine_Learning_Techniques | |
| 78 | PYTHON78 | A_Stock_Price_Prediction_Model_Based_on_Investor_Sentiment_and_Optimized_Deep_Learning | |
| 79 | PYTHON79 | A_Study_on_the_Optimal_Design_of_PMa-SynRM_for_Electric_Vehicles_Combining_Random_Forest_and_Genetic_Algorithm AEC_GAN_Unbalanced_Data_Processing_Decision-Making_in_Network_Attacks_Based_on_ACGAN_and_Machine_Learning | |
| 80 | PYTHON80 | Detection_of_Application-Layer_DDoS_Attacks_Produced_by_Various_Freely_Accessible_Toolkits_Using_Machine_Learning | |
| 81 | PYTHON81 | Electric_Vehicles_Charging_Sessions_Classification_Technique_for_Optimized_Battery_Charge_Based_on_Machine_Learning | |
| 82 | PYTHON82 | EnGauge_Engagement_Gauge_of_Meeting_Participants_Estimated_by_Facial_Expression_and_Deep_Neural_Network | |
| 83 | PYTHON83 | GNNGLY_Graph_Neural_Networks_for_Glycan_Classification | |
| 84 | PYTHON84 | Intracranial_Haemorrhage_Diagnosis_Using_Willow_Catkin_Optimization_With_Voting_Ensemble_Deep_Learning_on_CT_Brain_Imaging | |
| Network | |||
| 85 | PYTHON85 | Efficient_Cluster_Heads_Selection_Based_on_Index-Modulation_in_Wireless_Sensor_Networks | |
| 86 | PYTHON86 | Low-Latency_Low-Energy_Adaptive_Clustering_Hierarchy_Protocols_for_Underwater_Acoustic_Networks | |
| 87 | PYTHON87 | New_Online_DV-Hop_Algorithm_via_Mobile_Anchor_for_Wireless_Sensor_Network_Localization | |
| 88 | PYTHON88 | SOMACA_A_New_Swarm_Optimization-Based_and_Mobility-Aware_Clustering_Approach_for_the_Internet_of_Vehicles | |
| 89 | PYTHON89 | Transformer_Based_Traffic_Flow_Forecasting_in_SDN-VANET | |
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