yusuke1997/dblp-id-title huggingface dataset:
The Analysis of Device-to-Device (D2D) Communication System Operating in 5G Underlaying Cellular Networks on Multiple Bands over Nakagami-m Fading Channels
An Intelligent and Scalable Framework for Early Heart Disease Detection Using Multimodal Health Data and Optimized Deep Learning Strategies
Diagnosing Optic Neuritis in Neuromyelitis Optica Spectrum Disorders (NMOSD) Using 6 Machine Learning Models with MRI
Adaptation of a Temperature Model for Semi Continuous Anaerobic Digestion Reactor
Cyber Incidents Risk Assessments Using Feature Analysis
A survey on Motion Artifact Correction in Magnetic Resonance Imaging for Improved Diagnostics
The Hot Hand in Esports
Light Coded Language (LCL): Infrared-Thermography* based 3D Interactive Touch Sensing Display for Handling Medical Emergencies
Identifying the Software Quality Attributes that Affect Patient Portal Adoption in Trinidad and Tobago
Deep Learning-Based Pertinent Video Frame Detection to Compressed Surveillance Video
Area Coverage Strategy in IoT Networks Based on Redeployment, Descriptive Statistics, Correlation and Regression Parameters
Heart Disease Prediction Using CNN Algorithm
Analysis of Digitization Impact on Indian Economy in the Context of COVID Pandemic
Spatio-temporal Crime Analysis and Forecasting on Twitter Data Using Machine Learning Algorithms
Benchmarks for Designing a Secure Devanagari CAPTCHA
Diagnosis Approaches for Colorectal Cancer Using Manifold Learning and Deep Learning
A Novel Approach for Optimal Cluster Identification and N-Order Hesitation Based Time Series Forecasting
Analysis of Watermarked Video Optimization and Training Based on Classification Using Deep Learning Techniques
Impact of Human Resource Analytics Adoption on Organizational Agility and Operational Performance: Examining TOIE Model
Within Host Dynamics of SARS-CoV-2 in Humans: Modeling Immune Responses and Antiviral Treatments
Proactive Dynamic Frequency Reuse Technique (PDFRT) Based on Optimal Channel Selection Using Backhaul Link Stability Frequency Switch-Over Algorithm (BLSFSOA) to Improve the Performance of LTE
Factors Affecting College Students' Continuous Intention to Use Online Course Platform
An Operative Expectation of Parkinson's Ailment Using a Hybrid Machine Learning and Artificial Intelligence Systems
Breast Cancer Mass Detection in Mammograms Using Gray Difference Weight and MSER Detector
Design and Development of a Mobile Application for Teaching Triple Multiplication to Preschool Children
Event-Scheduling Algorithms with Kalikow Decomposition for Simulating Potentially Infinite Neuronal Networks
Enabling the Translation of Electromyographic Signals Into Speech: A Neural Network Based Decoding Approach
New Method for Automatic Recognition of Mexican Indigenous Languages: Comparative Performance of Classifiers
Human Motion Detection Using Spatio-Temporal Volumes in Virtual Reality Environments
Development of an Adaptive Optimization ANN Model for an Automatic Identification and Classification of Stuttering in Speech
Taxonomy of Opinion Mining, Approaches and Domain Applications: Future Research Direction
A Miniscule and Self-Adaptive Autoregressive Dragonfly Optimization for Secrecy Conserved Data Publication in Mobile Cloud Computing
Diagnosis of Cardiac Disease Utilizing Machine Learning Techniques and Dense Neural Networks
Quality and Security Frameworks for IoT-Architecture Models Evaluation
Application of AI-Based Algorithms for Industrial Photovoltaic Module Parameter Extraction
ROI and Non-ROI Image Compression Using Optimal Zero Tree Wavelet and Enhanced Convolutional Neural Network for MRI Images
Enhancing Pattern Classification Accuracy Through Customer Segmentation-Using Machine Learning Algorithms
Land Cover Mapping and Change Analysis Using Optimized Random Forest Classifier Incorporating Fusion of Texture and Gabor Features
A Multimodal, Usable, and Flexible Clinical Decision-Support System for Breast Cancer Diagnosis and Reporting
Adaptive Jensen-Shannon Divergence BA and ELU-BiLSTM: Advanced Techniques for Feature Selection and Cloud Security
To Design and Develop the IoT Board to Retrieve NPK Data and Predict the Banana Leaf Diseases(BLS) Using SVM with Newtons Optimization Algorithm
Machine Learning: Algorithms, Real-World Applications and Research Directions
Deep Leaning Based Static Indian-Gujarati Sign Language Gesture Recognition
Revolutionizing Heart Attack Prevention: Machine Learning Models in Smart Healthcare
Stability Analysis of Supervised Decision Boundary Maps
A Survey on Mobile Applications for Smart Agriculture
Context Aware Hybrid Network Architecture for Iot with Machine Learning Based Intelligent Gateway
COVID-19 Detection Ensemble Analysis with Advanced Feature Descriptors (CODEX-AFD) Using Machine Learning Techniques
Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning
Anonymous Attribute-Based Searchable Encryption for Smart Health System
Training Neural Networks on Top of Support Vector Machine Models for Classifying Fingerprint Images
Fine-Tuning Llama 3 for Sentiment Analysis: Leveraging AWS Cloud for Enhanced Performance
SAFER: Sentiment Analysis-Based FakE Review Detection in E-Commerce Using Deep Learning
A Hybrid Model for Sentiment, Emotion, and Bloom's Taxonomy Analysis
Federated Intrusion Detection in IoT with Local Data Augmentation Using Wasserstein GANs
Enhancing Deep Reinforcement Learning with Scenario-Based Modeling
Tracing Information Flow in Clustered Complex Networks: Unraveling Centrality Patterns with m-PageRank
An Integrated ELM Based Feature Reduction Combination Detection for Gene Expression Data Analysis
Implementation and Manufacturing of DT Sensor Ecosystem for Real-Time Monitoring of Virtual 3D Printers
Design and Optimization of Feedback Controllers for Motion Control in the Manufacturing System for Digital Twin
Real-Time Human Detection for Intelligent Video Surveillance: An Empirical Research and In-depth Review of its Applications
Meta-learning in Healthcare: A Survey
Metric Learning with Self-Adjusting Memory for Explaining Feature Drift
Introducing the Cosine Clustering Index (CCI): A Balanced Approach to Evaluating Deep Clustering
A New Execution Model and Executor for Adaptively Optimizing the Performance of Parallel Algorithms Using HPX Runtime System
Forecasting Government Project Costs in Colombia: Combining Regression-Based and Text-Mining Approaches for Predictive Analysis
Enhancing Mass Customization Manufacturing: Multiobjective Metaheuristic Algorithms for Flow Shop Production in Smart Industry
Exploring ISIS' Takfir Discourse: A BERT-Based Entity Level Sentiment Analysis Approach
Protecting Systems from Violating Constraints Using Reference Governors
A Retrospective Analysis of a Rapid Review on Fuzz Security Testing for Software Implementation of Communication Protocols
Forecasting Post-Harvest Tomato Shelf Life with Recurrent Neural Networks and Electronic Nose Data
Energy Efficient Mathematical Model for Cyber-Physical Systems: A Model for Industrial Internet of Things
An Efficient Approach to Detect and Predict the Tomato Leaf Disease Using Enhance Segmentation Neural Network
Decentralization System Using Smart Blockchain with Secure Hash
Automatic and Accurate Repositioning of C-Arm Prototype Using Motion Capture Systems and Deep Learning
A Fuzzy-Based Greedy Behaviour Attack Detection Approach in VANETs
Random Neural Networks with Hierarchical Committees for Improved Routing in Wireless Mesh Networks with Interference
Correction: MC-NN: An End-to-End Multi-Channel Neural Network Approach for Predicting Influenza A Virus Hosts and Antigenic Types
Designing of Lightweight Deep Learning Framework for Plant Disease Detection
Beyond Classical Definition: The Non-definition of Gamification
Co-Yudh: A Convolutional Neural Network (CNN)-Inspired Platform for COVID Handling and Awareness
IVE-MDNet: Intensity Value Estimation Model Combined with a Transfer Learning Approach for Melanoma Skin Cancer Diagnosis
Multi-Sensor Data Fusion-based Parallel Manipulator with IoT Monitoring Employing Machine Learning
Hate Speech Detection on Code-Mixed Dataset Using a Fusion of Custom and Pre-trained Models with Profanity Vector Augmentation
A Reference Architecture for IoT-Enabled Smart Buildings
Human Activity Behavioural Pattern Recognition in Smart Home with Long-Hour Data Collection
Engineering Students' Perception of Online Learning During the Emergency Nationwide Lockdown in Nigeria
An Experimental Study of Noisy Optimization with RPS Over Different Distributions
Fr-WCSO- DRN: Fractional Water Cycle Swarm Optimizer-Based Deep Residual Network for Pulmonary Abnormality Detection from Respiratory Sound Signals
Automated Analysis of Access Control Policies Based on Model Checking
Chest X-ray Classification Using Deep Learning for Automated COVID-19 Screening
Information Extraction from Public Meeting Articles
CHC-Based Verification of Programs Through Graph Decompositions
Decentralizing Commercial Property Registration and Bidding Process with Smart Contracts
Identification of Gestational Risk Factors for daASD Using Hybrid Deep Learning Approach
A Comparative Study of the Some Methods Used in Constructing Coresets for Clustering Large Datasets
Grayscale Image Statistical Attributes Effectively Distinguish the Severity of Lung Abnormalities in CT Scan Slices of COVID-19 Patients
Enhanced Resolution and Accuracy in Software Defined Radio Applications Using a SAR ADC with Integrated ECC Mechanism and Dual-Stage SAR Architecture
Interpretation of Swedish Sign Language Using Convolutional Neural Networks and Transfer Learning
Differential Privacy-Based Social Network Detection Over Spatio-Temporal Proximity for Secure POI Recommendation
Optimized Machine Learning Techniques for Precise Breast Cancer Detection in Mammograms
Software Enhancement Effort Prediction Using Machine-Learning Techniques: A Systematic Mapping Study
AI-Based Learning Techniques for Sarcasm Detection of Social Media Tweets: State-of-the-Art Survey
ABE Cloud Privacy Improvisation on Healthcare Systems Using Trained Neural Networking Technique
A Comprehensive Review of Emotion Recognition Using Multimedia Parameters: Challenges, Computational Intelligence and Applications
Implications on Feature Detection When Using the Benefit-Cost Ratio
A Lifelong Learnable Hybrid Controller for Autonomous Driving
Analyzing the Formation Strategy in Tennis Doubles Game
Model of Load Distribution Between Web Proxy Servers Using Network Traffic Analysis
1D Convolutional Neural Architecture Search for sEMG Hand Gesture Recognition
Generation of Dynamic Table Using Magic Square to Enhance the Security for the ASCII CODE Using RSA
Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together
Iterative Dichotomiser Maximum Posteriori Active Selection Algorithm for Analysis of Coma Patient's Brain Waves Through WSN
Robotics in Healthcare: A Survey
LJST: A Semi-supervised Joint Sentiment-Topic Model for Short Texts
Hybrid Sampling Technique for Imbalanced Android Malware Family Classification
Monitoring a CI/CD Workflow Using Process Mining
DeepMultiMI: An Improved Approach for Ethnicity Classification Based on Face Images Using Deep Learning
An Experimental Evaluation of Summarisation-Based Frequent Subgraph Mining for Subgraph Searching
Subclass Classification of Gliomas Using MRI Fusion Technique
A Deep Learning GRU-BiLSTM for DDoS Attack Detection
Interdisciplinary Implementation of Supervised Real-Time Waste Management
Integrated Architecture for Smart Grid Energy Management: Deep Attention-Enhanced Sequence-to-Sequence Model with Energy-Aware Optimized Reinforcement Learning for Demand Response
Performance and Efficiency Exploration of Hardware Polynomial Multipliers for Post-Quantum Lattice-Based Cryptosystems
Local Binary Pattern Based Robust Coverless Information Hiding Approach
Ubiquitous Secure Communication in a Future Internet Architecture
Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques
Adding Dimensionality Reduction analysis of Texture descriptors for Tourette's Syndrome classification
Analysis and Implementation of Disease Detection in Leafs and Fruit Using Image Processing and Machine Learning
MMOF: A Multi-Metric Objective Function for Congestion Detection Under Varying Transmission Ranges in RPL-Based WSN
Imputation Method for Fetal Heart Rate Signal Evaluation Based on Optimal Transport Theory
A Novel and Optimized Collaborative Diversity-Driven Routing Mechanism in MANETs
COVID-19 Pandemic: ARIMA and Regression Model-Based Worldwide Death Cases Predictions
An Enhanced Approximation Algorithm Using Red Black Tree and HashMap for Virtual Machine Placement Problem
Tight-ES-TRNG: Improved Construction and Robustness Analysis
Time-Series Analysis of Ball Carrier Open-Space (BCOS) in Association Football
Two Class Pruned Log Message Anomaly Detection
Faster R-CNN Deep Learning Model for Pedestrian Detection from Drone Images
Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms
The STIRData Approach to Interoperability of European Company High-Value Datasets
DeDER: Detecting Deepfakes with EfficientNetB0 and ResNet50 on Celeb-DF
Domain Adaptation for Learning from Label Proportions Using Domain-Adversarial Neural Network
The Influence of Data Preparation on Outlier Detection in Driveability Data
Predicting the Academic Performance of the Students: Machine Learning Algorithms
Designing Autotuned Student Models by Knowledge Distillation from Self-Supervised Teacher Models
Supplier Satisfaction as a Mediating Effect on Delivery and Service: A PLS-SEM Approach in India During COVID-19 Pandemic
Detection and Segmentation of Rice Diseases Using Deep Convolutional Neural Networks
Deep Open Set Recognition Using Dynamic Intra-class Splitting
Machine Learning for Unmanned Aerial Vehicles Navigation: An Overview
An Efficient User Authentication and Key Agreement Scheme Wireless Sensor Network and IOT Using Various Security Approaches
Assessing the Effects of Delay to NMP via Audio Analysis
DOA Estimation in the Presence of Doppler Shifts Using Quantum-Inspired Swarm Intelligence Algorithms
An Enhanced IoT Based Tracing and Tracking Model for COVID -19 Cases
Access Controls for IoT Networks
Hybrid Deep Stacking Ensemble for Accurate Fruit Disease Classification in Precision Agriculture
Lessons Learned from Older Adults Fusing of an Augmented Reality, Assisted Living and Social Interaction Platform
Explainable ML Models for E-commerce Ad Optimization
Organisational Security Dependent on Individual Privacy
Comprehensive Analysis on Hardware Trojans in 3D ICs: Characterization and Experimental Impact Assessment
A Novel Multi-camera Fusion Approach at Plant Scale: From 2D to 3D
A Survey on Error-Correcting Codes for Digital Video Broadcasting
Self-Playing RNA Inverse Folding
Demographic-Adapted ROC Curve for Assessing Automated Matching of Latent Fingerprints
Training, Optimization and Validation of a CNN for Room Retrieval and Description of Omnidirectional Images
Deep Learning-Based Acoustic Feature Representations for Dysarthric Speech Recognition
Fault Tolerant Decentralized Cooperative Target Tracking Using Event-Based Communications
RAG-Enhanced Spam Detection Framework: A Synergy of Cloud Scalability and Adaptive AI Models
Privacy Enforced Access Control Model for Secured Data Handling in Cloud-Based Pervasive Health Care System
Using Dominated Solutions at Edges to the Diversity and the Uniformity of Non-dominated Solution Distributions in NSGA-II
Application of Geometric Modeling in Visualizing the Medical Image Dataset
An Energy Efficient IPv6 Packet Delivery Outline for Industrial IoT Over G.9959 Protocol Based Wireless Sensor Network (WSN)
Mobile Agent and ACO Based Data Aggregation for Wireless Sensor Network
Off-the-Shelf Deep Features for Saliency Detection
Deep Learning Models for Early Identification of Learning Disorders in Children with Autism Spectrum Disorder
Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression
Video Recommendation System Using Convolutional Kronecker Forward Harmonic Network
An Integrated Approach for Lossless Image Compression Using CLAHE, Two-Channel Encoding and Adaptive Arithmetic Coding
A Clustering-Based 3D Localization in Wireless Sensor Networks Using RSSI and AoA
Potato Leaf Disease Classification Using Transfer Learning and Reweighting-Based Training with Imbalanced Data
Lower-Bound Study for Function Computation in Distributed Networks via Vertex-Eccentricity
Generative AI and Gamification for Personalized Learning: Literature Review and Future Challenges
Novel Secure MTJ/CMOS Logic (SMCL) for Energy-Efficient and DPA-Resistant Design
Designing of Energy-Efficient Approximate Multiplier Circuit for Processing Unit of IoT Devices
An Elastic Data Conversion Framework: A Case Study for MySQL and MongoDB
Hybrid Heuristic for Solving the Euclidean Travelling Salesman Problem
Software Product System Model: A Customer-Value Oriented, Adaptable, DevOps-Based Product Model
Deting Connectivity Patterns in Nordic Twittersphere by Cluster Analysistec
CrazyKhoreia: A Robotic Perception System for MAV Path Planning From Digital Images
An Extended Isomap Approach for Nonlinear Dimension Reduction
Customer Experience Survey Management Software: A Secure and Scalable Multi-Tenant Architecture
Comparative Study on Evaluating the Performance of Automated Bacterial Colony Counting with Available APP and Software on Generated Image Dataset
Traffic Rerouting Optimization Using Scheduling Algorithms
A Novel Parallel Hybrid k-Means and HGSO Based Approach for Detecting Fake Reviews in Social Media
Beta Function Based Compression Method for Crop Image Using Singular Vector Sparse Reconstruction
Aligning Frameworks: Identifying Compatible Pairs of Digital Transformation and Maturity Models
Data Analytics in Healthcare: A Tertiary Study
Predictive Analytics of Crime Data in Social Media: A Systematic Review, Incorporating Framework, and Future Investigation Schedule
Technology-Enabled Institutional Readiness for Agile-Blended Learning: A Framework for Educational Innovation
Biological Sequence Clustering: Novel Approaches and a Comparative Study
An Efficient Real Time Anomaly Detection in Surveillance Videos Using PRU-DPCN Classifier
Estimation of the Randomness of Continuous and Discrete Signals Using the Disentropy of the Autocorrelation
Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review
Plant Leaf Disease Detection Using XGBoost with OPTUNA Hyperparameter Optimization
Tiling and PCA Strategy for Clustering-Based High-Dimensional Gaussian Filtering
Editorial for the Topical Issue "Evolution, the New AI Revolution"
Atlas of Science Collaboration, 1971-2020
Early Prediction of Diabetic Using Data Mining
Heart Disease Prediction using Machine Learning Techniques
A Model for Detecting Type 2 Diabetes Using Mixed Single-Cell RNA Sequencing with Optimized Data
Exploring the Relation Between Co-changes and Architectural Smells
Automatic Building of a Large Arabic Spelling Error Corpus
Correction: Alzheimer Disease Detection Using MRI: Deep Learning Review
CRIDS: Correlation and Regression-Based Network Intrusion Detection System for IoT
Strategic Proxy Voting on the Line
Agile Blended Learning: A Promising Approach for Higher Education in the UAE
Strengthening Digital Security through a Hybrid Encryption Algorithm for Messages on WhatsApp
BXtendDSL at Work: Combining Declarative and Imperative Programming of Bidirectional Model Transformations
A Hybrid KNN-MHWS-NNAR Univariate time Series Model for Anomaly Detection and Prediction of Relative Humidity Data
Occupancy Detection for Emergency Management of Smart Building Based on Indoor Localization
Multi-robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
Deep Encoder-Decoder Model (Deep-EDM) for Efficient CSI Feedback in MIMO Systems
Cyber Security Focused Deepfake Detection System Using Big Data
Advances in Multi-agent Systems Research: EUMAS 2020 Extended Selected Papers
Correction: Framework for Agent-Based Multistage Application Partitioning Algorithm in Mobile Cloud Computing
Robotic Technology-Based Cloud Computing for Improved Services
Preliminary Step for Implementing Cognitive Internet of Things Through Software-Defined Radio
LDPC Codes Based on α-Resolvable Designs
Dynamic Mutation Strategy Selection in Differential Evolution Using Perturbed Adaptive Pursuit
A Study on Machine Learning and Deep Learning Techniques for Identifying Malicious Web Content
Efficient Breast Cancer Classification Using a Hybrid CNN-Attention-Residual Connection (CAR) Model
A Deep Learning-Based Method for Forecasting Gold Price with Respect to Pandemics
Blockchain-Based Privacy-Aware Voting System
Secure Data Storage in Cloud Computing Using Code Based McEliece and NTRU Cryptosystems
A Smartphone Enabled Approach to Manage COVID-19 Lockdown and Economic Crisis
Collaborative Representation for Visible to Band Gender Classification Using Multi-spectral Imaging: Extensive Evaluations by Exploring 22 Photometric Normalization Methods
Working Memory for Online Memory Binding Tasks: A Hybrid Model
Modelling and Impact Analysis of Antipode Attack in Bufferless On-Chip Networks
The Randomness and Robustness of Triadic, Tetradic, and Pentadic Evolution Patterns in a Large-Scale Mobile Phone Network
Data-Driven Requirements Elicitation: A Systematic Literature Review
Real-Time-Based Blood Wastage Management Using IoT and Blockchain Technology
The Improved Depression Recovery Motivation Recommendation System (I-DRMRS) in Online Social Networks
Enhancing Data Trustworthiness in Explorative Analysis: An Interactive Approach for Data Quality Monitoring
Determining Twitter Trending Hashtags and Sentiments Associated via Machine Learning Approaches
Application of Tolerance Graphs to Combat COVID-19 Pandemic
A Scoping Review of Virtual and Augmented Reality in Palliative & Supportive Care: Implications for the Future Metaverse
Event Management System Using Spatial and Event Attribute Information
Hierarchical Clustering of Spectral Images with Spatial Constraints for the Rapid Processing of Large and Heterogeneous Data Sets
Effective Anomaly Detection Approach to Classify Noisy Data Using Robust Noise Detection and Removal Technique in IoT Healthcare Data
A Novel Sampling Technique for Multistart-Based Methods
Correction to: Fraud Detection Using Machine Learning and Deep Learning
Designing a UI Template for Student Connect Application Using Neumorphic Components
Analysis of Melanoma Cancer Detection Techniques
Deep Learning-Based Medicinal Plant Identification Using Optimized CNN Architectures
Electronic Waste Management Using Smart Contracts on the Blockchain Platform
Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches
Efficient Order Batching Optimization Using Seed Heuristics and the Metropolis Algorithm
Centrality-Based Approach for Identifying Essential Cancer Proteins in PPI Networks
Clustering and Association Rules for Web Service Discovery and Recommendation: A Systematic Literature Review
Enhancing Women's Fecundity Prediction in Time Series Data Using Encoder-LSTM Model Integration
TriModNet: A Hybrid View-Invariant Three-Pronged Model for Patient Activity Monitoring in Indoor Environment
Breathe-Run-Guide: A Review of Personal Breathing Guidance Systems in Running
Designing an Intelligent Contract with Communications and Risk Data
The Effects of Class Imbalance and Training Data Size on Classifier Learning: An Empirical Study
Augmented Reality and Mobile Augmented Reality in Education: A Thematic Analysis of Studies in Turkey
Development of Novel Framework for Identifying Anomalies in High Volume of Data Using Robust Machine Learning Algorithm
Designed Features for Improving Openness, Scalability and Programmability in the Fog Computing-Based IoT Systems
Study of AI-Driven Fashion Recommender Systems
Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders
Enhancement of Medical Images Using Lifting Wavelet Transform and Dynamic Stochastic Resonance