yusuke1997/dblp-id-title huggingface dataset:
Analyzing a Computational Infrastructure for Supporting the Design of Group Learning Scenarios
On the Performance of Malleable APGAS Programs and Batch Job Schedulers
Augmented Reality for the Treatment of Hand Arthritis in Military Veterans: Results from a Feasibility Randomized Controlled Trial
Dual-Tree Complex Wavelet Packet Transform Grounded HRV Analysis for Cardiac Risk Prediction
Tracking the Development of Baby Brain Tissue with Color Vision in Magnetic Resonance Imaging
An Intelligent Medical Model for Classification of Brain Tumours and Stroke Lesions Using Machine Learning in Healthcare for Resource-Constrained Devices
Commit2Vec: Learning Distributed Representations of Code Changes
A Programmed Cardiac Arrhythmia Analysis System by Adaptive Cardiac Outlining
Virtual Machine Placement Using Adam White Shark Optimization Algorithm in Cloud Computing
RoLiVit: Feature Fusion Approach for Multimodal Sentiment Analysis Using Deep Learning
In-silico screening of phytocomponents from Phlogacanthus thyrsiformis and Tinospora cordifolia for antiviral efficacy against duck enteritis virus
DITIS: An End-to-End System-Level Simulator and Optimizer for Distributed Tiered Storage
A New Optimization Model for Solving Center-Based Clustering Problem
Cost Efficient Rule Based Soil-Water Kinetics Driven Automated Architecture for Smart Agriculture
Tools for Cloud for Resource Management: NOVA and SNMP
A Comprehensive Survey on Cyber-Physical Systems Towards Healthcare 4.0
Sentiment Thesaurus, Synset and Word2Vec Based Improvement in Bigram Model for Classifying Product Reviews
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?
A Comparative Performance Study on the Time Intervals of Hybrid Brain-Computer Interface Signals
FdAI: Demand Forecast Model for Medical Tourism in India
Enhancing NLP for Low-Resource Language by Developing Deep Learning-Powered Morphological Analysis of Dogri: An End-to-End Pipeline from Corpus Construction and Linguistic Annotation to Model Training and Deployment
Enhanced Cross-Domain Recommendations Using Diverse Non-negative Matrix Factorization Techniques
Development of a Virtual Reality Model Using Digital Twin for Real-Time Data Analysis
Innovative Dual-Objective Framework for Image Captioning: Harmonizing Visual Analysis and Linguistic Precision
Multimodal Search and Visualisation of Movies Based on Emotions Along Time in As Movies Go By
YOLOv8-Based Frameworks for Liver and Tumor Segmentation Task on LiTS
Pedagogical Framework for Technology-Mediated Agile-Blended Learning
Mobile Health from Developers' Perspective
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks
Transformers with Dual Attention for Volumetric Quantification of Pre and Post-operative Brain Tumors with Follow-Up
CAViaR Snow Leopard Optimization Algorithm for Multi-Objective IoT Service Placement Strategy in Fog Computing
A Hybrid Model Combining Improved Weighted Wolf Optimization and Reinforcement Learning for Estimating Electric Vehicle Travel Time
Discoursing Novel Procedure for Segmentation and Classification of Mammograms
A Method to Explore the Connectivity Patterns of Proteins and Drugs for Identifying Disease Communities
DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification
A One-Step Approach to Covariate Shift Adaptation
Protecting Citizens' Personal Data and Privacy: Joint Effort from GDPR EU Cluster Research Projects
Soil Image Classification Using Transfer Learning Approach: MobileNetV2 with CNN
Intelligent Models for Diabetic Prediction Using Conventional Machine Learning Techniques and Ensemble Learning Algorithms
AI-Assisted Annotator Using Reinforcement Learning
Smart Boarding System with e-Passports for Secure and Independent Interoperability
Latent Fingerprint Identification System Based on a Local Combination of Minutiae Feature Points
Proposal for a Digital Twin Approach Based on Uncertainty Management Interactive Optimisation
Performance Analysis of Shallow Convolutional Neural Network-Based Hybrid Model for Image Classification
The Authenticity of Digital News Coverage in the Mainstream Media in Japan
Dynamic Adaptive FedCOM: A Novel Communication-Efficient Approach for Federated Learning
Formalstyler: GPT-Based Model for Formal Style Transfer with Meaning Preservation
Self-Supervised Image Denoiser Design Using Multiscale Bicubic Image Interpolation and U-Net Network
Semantic Tree Based PPDP Technique for Multiple Sensitive Attributes in Inter Cloud
Soft Computing-Based Adaptive Energy Replenishment Via Mobile Charging in Wireless Sensor Networks with Fuzzy Logic and Genetic Algorithms
A Review of Feature Extraction and Classification Techniques in Speech Recognition
Automatic Brain Tumor Detection and Classification Using UNET and Optimized Support Vector Machine
(S 2 M -IQ): Semiotics Similarity Measurement and Information Quantification, Lecture Information Weightage Calculation
Design and Development of Novel Refresh Technique for Gain Cell Embedded DRAM
Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models
Leveraging LSTM and Multinomial Naive Bayes for Nuanced Textual-Based Sentiment Analysis
Enhanced Layer Extraction for Efficient Plant Disease Classification using Efficientnet B1
Statistical Modeling of Discourse Genres: The Case of the Opinion Column in Spanish
Model Order Determination: A Multi-Objective Evolutionary Neural Network Scheme
Structured Watermarks for Structured Software
Data Merger Computing for an Intelligent Report Generation
Facial Micro-expression Modelling-Based Student Learning Rate Evaluation Using VGG-CNN Transfer Learning Model
Implementation of Microgrid Digital Twin System for Unmanned Vehicles with Cloud Computing Techniques
Stride Window Approach with Anomaly Detection for Probability Risk Assessment
VLD2R: A Lightweight Framework for Early Vegetable Leaf Diseases Detection and Recognition
NDDSM: Novel Deep Decision-Support Model for Hate Speech Detection
Soil Moisture Prediction Using NDVI and NSMI Satellite Data: ViT-Based Models and ConvLSTM-Based Model
Design and Development of Artificial Intelligence Knowledge Processing System for Optimizing Security of Software System
Enhanced AI Based Diabetic Risk Prediction Using Feature Scaled Ensemble Learning Technique Based on Cloud Computing
COVID-19 Predictive Models Based on Grammatical Evolution
Voting Classifier-Based Crop Recommendation
Efficient Deep Learning Model for Analyzing Muscle Activity Patterns in Biomechanical Simulations
Formalizing and Integrating User Knowledge into Security Analytics
N-Gram Based Sarcasm Detection for News and Social Media Text Using Hybrid Deep Learning Models
Improving Retinal Vessels Segmentation via Deep Learning in Salient Region
A New Role of Pseudorandom Number as Inductive Inference for Solving Classic Coin-Weighing Puzzles
Complex Human Action Recognition Using a Hierarchical Feature Reduction and Deep Learning-Based Method
Impact Prediction of SGLT2 Inhibitors on Rising UTI Infections among Patients
Modeling a Sequential and Similarity Network Model for Cataract Prediction Using Learning Approaches
The Data Analytics Framework for XDMoD
Static and Dynamic Dependency Visualization in a Layered Software City
Multi Chronic Disease Prediction System Using CNN and Random Forest
Design an Optimum Feature Selection Method to Improve the Accuracy of the Speech Recognition System
Proactive Memory Efficient DDOS Attack Detection at IoT Gateways Through Microneural Networks with Jellyfish Optimizer
A Literature Perspective of Stakeholder's Perceptions of Value and Risks for the Secondary Use of Health Data
Soundtrack Success: Unveiling Song Popularity Patterns Using Machine Learning Implementation
MLP Based on Dissimilarity Features: An Application to Wood Sawing Simulator Metamodeling
Role of Rebooting in PLC Machines Using Inspection Facility
Optimized Approach (SPCA) for Load Balancing in Distributed HDFS Cluster
Tasmanian Devil Sail Fish Optimization with Deep Learning Enabled Macro Block Selection for Video Steganography in Compressed Video Stream
Predictive Data Analytics Using Machine Learning for IoT Sensor Network
Hope Speech Detection for Dravidian Languages Using Cross-Lingual Embeddings with Stacked Encoder Architecture
Prediction of Early Dropouts in Patient Remote Monitoring Programs
Visual Saliency Models Applied to ROI Detection for Brain MR Images: A Critical Appraisal and Future Prospects
A Novel Method for CNN Training Using Existing Color Datasets for Classifying Hand Postures in Bayer Images
HybridNet: Integrating Multiple Approaches for Aerial Semantic Segmentation
Designing a Data Quality Management Framework for CRM Platform Delivery and Consultancy
Weakly Supervised Learning-based Table Detection
Exploring AI-based Computational Models of Novelty to Encourage Curiosity in Student Learning
An Empirical Study on the Use of Quantum Computing for Financial Portfolio Optimization
Automated Recognition of Indian Classical Ragas Using Deep Learning
Significance of Teaching of Microcomputer Technology through Practical Robotic Ground Vehicle Application
Digital Signature-Based Scheme for Secure Cloud Healthcare System
Sentiment Analysis of Finnish Twitter Discussions on COVID-19 During the Pandemic
Mathematically Modified Adaptive Neuro-Fuzzy Inference System for an Intelligent Cyber Security System
AI-Techniques for Re-Identification Attacks on De-Identified Smartwatch Health Data
Defining Parallel Local Search Procedures with Neighborhood Combinators
Engineering Learning Content Through Question and Answer Pairs
Machine Learning for Fault Detection and Diagnosis of Large Photovoltaic Plants Through Internet of Things Platform
Efficient Blood Cell Detection with Detr: A Novel Approach for Automated Hematological Image Analysis
Game Theoretic Defense Framework Against Sybil Attacks
Low Resolution MRI Images Privacy Feature Mapping and Classification Using LSTM-CNN Models in IoMT Healthcare Applications
Fault Tolerant Shared Control for Cooperative Lane-Keeping Systems of Highly Automated Steer-by-Wire Vehicle
Optimization of Flexible Manufacturing Production Line System Based on Digital Twin
Evaluating ASCON Lightweight Encryption Algorithm for Image Encryption
Optimizing Last-Mile Logistics with Digital Twins and Multi-agent Learning: Enhancing Efficiency, Customer Satisfaction, and Urban Integration
Measured Averages and Inferred Extremes: Info-Gap Analysis of Deep Uncertainty
A Blockchain-Assisted Trusted Federated Learning for Smart Agriculture
Intrusion Detection Framework in IoT Networks
SVAD: Stacked Variational Autoencoder Deep Neural Network-Based Dimensionality Reduction and Classification of Small Sample Size and High Dimensional Data
The Effectiveness of a Blended Learning-Based Life Design Course: Implications of Instruction and Application of Technology
Identification of Personality Traits by Machine Learning Analysis of Signatures and Handwriting
Radial Basis Gated Unit-Recurrent Neural Network (RBGU-RNN) Algorithm
DLToDW: Transferring Relational and NoSQL Databases from a Data Lake
Privacy-Preserving Outsourcing Algorithm for Solving Large Systems of Linear Equations
Detecting Speech Disorders Using A Machine-Learning Guided Method in Spontaneous Tunisian Dialect Speech
Provable Data Possession (PDP) and Proofs of Retrievability (POR) of Current Big User Data
(Semi-)automatic Extraction of Urban Planning Rules in French for Better Management of Land Artificialization
Deep Learning-Based Scientific Document Summarization Considering Citation
iTrustBD: Study and Analysis of Bitcoin Networks to Identify the Influence of Trust Behavior Dynamics
Data Integration Using Model-Based Boosting
Detecting Android Malware with Convolutional Neural Networks and Hilbert Space-Filling Curves
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness
Internet of Things (IoT) in Pharmaceutical Manufacturing, Warehousing, and Supply Chain Management
Identifying Contradictions in the Legal Proceedings Using Natural Language Models
DevDynaP: A Dynamic Local Community Detection Algorithm
Integrated Dataset-Preparation System for ML-Based Medical Image Diagnosis with High Clinical Applicability in Various Modalities and Diagnoses
Composition-Nominative Methods and Models in Program Development
Deep Learning-Based Computer-Aided Diagnosis Model for the Identification and Classification of Mammography Images
Modified Leader-Advocate-Believer Algorithm with Clustering-Based Search Space Reduction Method for Solving Engineering Design Problems
UAV Swarm Objectives: A Critical Analysis and Comprehensive Review
Explainable AI Integrated Feature Selection for Landslide Susceptibility Mapping Using TreeSHAP
A Novel and Efficient Spatial-Temporal Saliency-Driven Integrated Video Compression
Exploring Video Captioning Techniques: A Comprehensive Survey on Deep Learning Methods
SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction
Improving Text-Based Depression Analysis Through Hybrid Deep Learning Architectures: A Methodological Framework
DWD-SVM: Support Vector Machines Based on the Distance Weighted Discrimination (DWD) Loss Function to Breast Cancer Diagnosis Classification
Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks
Optimal PV Distributed Generators Allocation Using Firefly Algorithm to Enhance Voltage Profile
Tracking Hate in Social Media: Evaluation, Challenges and Approaches
Towards an Optimal Display of Superimposed Avatars for Motor Feedback
Dare Not to Avoid the Most Probable Ones: An Adaptive Probabilistic Interval-Selection Ensemble of Recurrent Neural Networks for Time Series Forecasting
Algebraic Stability Analysis of Particle Swarm Optimization Using Stochastic Lyapunov Functions and Quantifier Elimination
Efficient AiDS Through Real-Time Insulin Sensitivity Estimation and Energy Management with Event-Triggered MPC
ROS-Enabled Collaborative Navigation and Manipulation with Heterogeneous Robots
Robust Android Malware Detection: Leveraging Generative Transformer-Based Feature Extraction and Hybrid Optimization Techniques
Integration of Deep Learning and Image Segmentation in Computational Modeling for Improved Biospeckle Image Analysis
Data Security and Privacy Protection Scheme Based on EC-ElGamal in Federal Learning
Utilizing Evidential Reasoning (ER) Approach for Software Components Selection
A Novel Deep Learning Language Model with Hybrid-GFX Embedding and Hyperband Search for Opinion Analysis
Exploring Integration of Multimodal Deep Learning Approaches for Enhanced Alzheimer's Disease Diagnosis: A Review of Recent Literature
Mining Discriminative Itemsets Over Data Streams Using Efficient Sliding Window
Fuzzy Logic-Based Energy Management of Dispatchable and Non-dispatchable Energy Units in DC Microgrid with Energy Storage System
Automated Diagnosis of Dental Diseases Using Deep Learning on Radiographic Images
Applying the Deep Learning Method for Simulating Outcomes of Educational Interventions
Optimizing Polynomial and Regularization Techniques for Enhanced Housing Price Prediction Accuracy
Imbalance Data Classification Using Local Mahalanobis Distance Learning Based on Nearest Neighbor
Feature Weighting in Finding Feedback Documents for Query Expansion in Biomedical Document Retrieval
A Real-Time Semantic Annotation to the Sensor Stream Data for the Water Quality Monitoring
A Semisupervised Learning Approach for Code Smell Detection
A Bilateral Assessment of Human Activities Using PSO-Based Feature Optimization and Non-linear Multi-task Least Squares Twin Support Vector Machine
Clustering of Longitudinal Trajectories Using Correlation-Based Distances
P-R-Dash: A Dashboard-Constructing Tool for Twinning Business Processes
BESIEC: An Adaptive Optimized Model for Task Scheduling & Offloading
Advancing Web Browser Forensics: Critical Evaluation of Emerging Tools and Techniques
Dynamic Scheduling for Heterogeneous Multicores
An Efficient 3D Ear Recognition Method Using Point Set Registration Approach
The Hardest Hamiltonian Cycle Problem Instances: The Plateau of Yes and the Cliff of No
Robust Rabin Cryptosystem Biometric Privacy Preserving Authentication Technique for IoT Enabled Devices Over Cloud
Traffic Sign Classification Using Real-Time GPU-Embedded Systems
Offline Signature Recognition Using Image Processing Techniques and Back Propagation Neuron Network System
Pyramid based Progressive Transmission System with Hybrid Compression Scheme for Medical Images
Development of a Graph-Based Model for Trust Management in Collaborative Work
A Comprehensive Fraud Detection for Credit Card Transactions in Federated Averaging
No Sum (NS) Sequence Based Post-Quantum Cryptography
Women Infertility: A Systematic Review of Effects and Causes
Digital Signature Schemes Based on Group Ring
A Steady-State Grouping Genetic Algorithm for the Rainbow Spanning Forest Problem
Saliency from High-Level Semantic Image Features
GPU-Optimized Deep Learning Methods for Single-Cell Protein Localization Classification: A Comparative Analysis
EIMF: An Enhanced Iterative Mean Filter for Effective Denoising of Medical CT Images
Optimizing the Sensory Apparatus of Voxel-Based Soft Robots Through Evolution and Babbling
Fast Algorithms for Computing Fixed-Length Round Trips in Real-World Street Networks
An Efficient Hybrid Classifier for MRI Brain Images Classification Using Machine Learning Based Naive Bayes Algorithm
Recognition of Off-line Handwritten Uyghur Words Using Bayesian Networks with Grapheme Nodes
Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests
Human Activity Recognition Using Smartphone Sensors: Focusing on Fall Detection with the UNIBA Dataset
User-Centric IoT Service Placement in Shared Edge Computing Infrastructures
Detection of Heart Disease Utilising a Feature Fusion Technique and Machine Learning-Augmented Classification
Sentinel-2 Data for Land Use/Land Cover Mapping: A Meta-analysis and Review
Study on Different Approaches for Breast Cancer Detection: A Review
An Ensemble Machine Learning Method Highlights Possible Parkinson's Disease Genes and Accessing Performance of Re-sampling Techniques
A Variational Optical Flow Model for Accurate Motion Estimation from Rotational Image Sequences
Self-Adaptive Incremental PCA-Based DBSCAN of Acoustic Features for Anomalous Sound Detection
Integration of a Powerful Future Construct into the Taskflow System
Predictive Supervised Machine Learning Models for Diabetes Mellitus
Representing and Expressing Measurement Data in Digital Systems
Shadow AI: Cyber Security Implications, Opportunities and Challenges in the Unseen Frontier
Security and Privacy Issues in Deep Learning: A Brief Review
Lung Cancer Detection by Employing Adaptive Entropy Variance Dropout Regularization in GAN Variants
Formal Verification of Database Applications Using Predicate Abstraction
Ensuring Privacy in Smart Healthcare Systems: A Generalized Data Transmission Perspective
A Review on Data Access Control Schemes in Mobile Cloud Computing: State-of-the-Art Solutions and Research Directions
Blockchain-Enabled Intelligent Solution Using Structured Equation Modelling Based on the UTAUT Framework
User Preferences for AI-based Healthcare Apps: an Association Mining Analysis
Improving Consistency of Viewpoint Selection for Molecules
A Note on the Stable Marriage Problem
RCAM: Resource Constraint Approximate Multiplier Design for Deep Convolutional Neural Network Accelerator
Mobile Interface Attentional Priority Model
User Task Priority Based Resource Allocation with Multi Class Task Scheduling Strategy and Load Balancing in Cloud Environment
Prediction of Cardiovascular Disease using XGBoost with OPTUNA
A Diabetic Retinopathy Classification and Analysis Towards the Development of a Computer-Aided Medical Decision Support System
Smart E-Learning, Smarter SEO: The Winning Formula
Blockchain Enabled Supply Chain Management
Stratification of Hardware Attacks: Side Channel Attacks and Fault Injection Techniques
A Novel Image Encryption Technique Using Multi-Coupled Map Lattice System with Generalized Symmetric Map and Adaptive Control Parameter
A Deep Learning Approach for Digital Color Reconstruction of Van Gogh's Paintings Using Unpaired Areas Under the Frame
Enhancing Prediction Accuracy with an Innovative Hybrid Fuzzy Time Series Framework
Candidate-Label Learning: A Generalization of Ordinary-Label Learning and Complementary-Label Learning
Detection of Drowsiness Using the Pulse Rate Variability of Finger
Medical Lesion Segmentation Using Deep Learning Technique for Multiple Sclerosis Disease
Tasks Scheduling Through Hybrid Genetic Algorithm in Real-Time System on Heterogeneous Environment
Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices
Clusters of COVID-19 Indicators in India: Characterization, Correspondence and Change Analysis
Does Climate Variability Impact COVID-19 Outbreak? An Enhanced Semantics-Driven Theory-Guided Model
Optimizing Indoor Positioning: ANN-GD Fusion for Enhanced Accuracy in WiFi Fingerprint-Based Surveillance Systems
Blokchain-Based Trust and AI-Driven Water Quality Prediction in River Systems
Evaluation of Bayesian Deep Learning Methods for Quantifying Uncertainties in Forecasting Deaths from COVID-19
A Novel Transformer Based Unified Framework for Sentence-Level Sentiment Analysis
Registration of Lung CT-Images Affected with Covid-19 Using Centroid Opposition-Based Multiverse Optimizer
Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things
PneumoNet: A VGG16 Based CNN Model for Pneumonia Prediction
ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans
Monitoring and Sensing of Real-Time Data with Deep Learning Through Micro- and Macro-analysis in Hardware Support Packages
Dynamic Modeling, Analysis of Tuberculosis Infection Among Diabetic Patients and Parameters Estimation Using Physics Informed Neural Networks
Optimizing Hydrogen Refueling Station Recommendations: A Comparative Analysis Between Genetic Algorithm and Particle Swarm Optimization
Prediction of Epidemic Disease Dynamics on the Infection Risk Using Machine Learning Algorithms
A Modified Intuitionistic Fuzzy Clustering Approach for Sclera Segmentation
Development of Smart Healthcare Monitoring System in IoT Environment
Artificial Intelligence to Combat the Sting of the Pandemic on the Psychological Realms of Human Brain
Enhanced Local Pattern Transformation Based Feature Extraction for Identification of Parkinson's Disease Using Gait Signals
Exploring the Effectiveness of Deep Learning Architectures for Colorectal Polyp Detection: Performance Analysis and Insights
Hybrid Noise Reduction Filter Using the Gaining-Sharing Knowledge-Based Optimization and the Whale Optimization Algorithms
A Robust Data Anonymization Approach Based on Enhanced Starfish Optimization and Levy Flight for Social Networks
Text Analysis on Early Reactions to ChatGPT as a Tool for Academic Progress or Exploitation
Student-Led Live Broadcast Tour: An Elevated Learning Journey for Tourism Students
Evaluating Shallow and Deep Learning Strategies for Legal Text Classification of Clauses in Non-Disclosure Agreements
Leveraging Machine Learning: Advanced Algorithms for Soil Data Analysis and Feature Extraction in Arid and Semi-arid Regions with Expert Systems
VR Chiriyakhana: A Virtual Zoo Using Google Cardboard
Influence Maximization in Dynamic Networks Using Reinforcement Learning
Detection and Classification of Malignant Melanoma Using Deep Features of NASNet
DconvNET Based Detection and Classification of Lung Diseases for Pneumonia
Fully Responsive Image and Speech Detection Artificial Yankee (FRIDAY): Human Assistant
An Efficient Delay Centric Speed and Directional Routing (DMDR) for Improved Routing in MANET
Gaussian Based Non-linear Function Approximation for Reinforcement Learning
Detection of Inconsistencies in SysML/OCL Models Using OWL Reasoning
Automatic Number Plate Recognition Using Random Forest Classifier