yusuke1997/dblp-id-title huggingface dataset:
A survey on graph neural networks, machine learning and deep learning techniques for time series applications in industry
Hybrid deep layered network model based on multi-scale feature extraction and deep feature optimization for acute lymphoblastic leukemia anomaly detection
Effective attributed network embedding with information behavior extraction
LSTMDD: an optimized LSTM-based drift detector for concept drift in dynamic cloud computing
Intersection collision prediction and prevention based on vehicle-to-vehicle (V2V) and cloud computing communication
Modular automatic design of collective behaviors for robots endowed with local communication capabilities
Towards survival prediction of cancer patients using medical images
Foreground separation knowledge distillation for object detection
Data aggregation algorithm for wireless sensor networks with different initial energy of nodes
An improved termite life cycle optimizer algorithm for global function optimization
Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique
Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach
Topic adversarial neural network for cross-topic cyberbullying detection
BEPCD: an ensemble learning-based intrusion detection framework for in-vehicle CAN bus
Fine-art recognition using convolutional transformers
Trajectory planning for uncrewed combat aircraft penetration with dynamic radar cross section constraint
Accessible interactive learning of mathematical expressions for school students with visual disabilities
Adaptive resilient containment control using reinforcement learning for nonlinear stochastic multi-agent systems under sensor faults
Adaptive quality of service for packet loss reduction using OpenFlow meters
Auditory-GAN: deep learning framework for improved auditory spatial attention detection
GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement
A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach
Computer model of a spectrum analyzer for a virtual laboratory: development and introduction to the educational process
Enhancing the performance of the aggregated bit vector algorithm in network packet classification using GPU
Emotion recognition of social media users based on deep learning
A novel approach to secure communication in mega events through Arabic text steganography utilizing invisible Unicode characters
TCellR2Vec: efficient feature selection for TCR sequences for cancer classification
SFedChain: blockchain-based federated learning scheme for secure data sharing in distributed energy storage networks
Design and optimization of dynamic reliability-driven order allocation and inventory management decision model
Dataset construction method of cross-lingual summarization based on filtering and text augmentation
Hybrid computational and real data-based positioning of small cells in 5G networks
BDMCA: a big data management system for Chinese auditing
Demystifying diagnosis: an efficient deep learning technique with explainable AI to improve breast cancer detection
Aligning restricted access data with FAIR: a systematic review
A DBULSTM-Adaboost Model for Sea Surface Temperature Prediction
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
Artificial neural network-based ground reaction force estimation and learning for dynamic-legged robot systems
Leveraging deep learning for toxic comment detection in cursive languages
Pre-touch reaction is preferred over post-touch reaction in interaction with displayed agent
BMDD: a novel approach for IoT platform (broker-less and microservice architecture, decentralized identity, and dynamic transmission messages)
Decoupling facial motion features and identity features for micro-expression recognition
Paragraph-level attention based deep model for chapter segmentation
Performance analysis for similarity data fusion model for enabling time series indexing in internet of things applications
A hybrid feature selection algorithm and its application in bioinformatics
Formal modeling of a causal consistent distributed system and verification of its history via model checking using colored Petri net
The application of blockchain technology in data trading: a systematic review
Reconstructing unreadable QR codes: a deep learning based super resolution strategy
Blockchain based general data protection regulation compliant data breach detection system
Special issue on software citation, indexing, and discoverability
Constructing marine expert management knowledge graph based on Trellisnet-CRF
Forecasting stock indices with the COVID-19 infection rate as an exogenous variable
DPWSS: differentially private working set selection for training support vector machines
A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes
NIPS4Bplus: a richly annotated birdsong audio dataset
Design of public cultural sign based on Faster-R-CNN and its application in urban visual communication
Multi-user conflict resolution mechanisms for smart home environments
Multilabel convolution neural network for facial expression recognition and ordinal intensity estimation
Efficient hybrid CNN-transformer model for accurate blood cancer detection
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities
Estimation of lower limb torque: a novel hybrid method based on continuous wavelet transform and deep learning approach
Adaptive gamification in collaborative virtual classroom: a systematic review
Multilayered digital image encryption approach to resist cryptographic attacks for cybersecurity
Distribution-preserving data augmentation
Fatal injection: a survey of modern code injection attack countermeasures
Facial expression recognition using visible and IR by early fusion of deep learning with attention mechanism
A longitudinal study of topic classification on Twitter
Guiding the retraining of convolutional neural networks against adversarial inputs
UMEDNet: a multimodal approach for emotion detection in the Urdu language
Synthetic data analysis for early detection of Alzheimer progression through machine learning algorithms
A secure healthcare data transmission based on synchronization of fractional order chaotic systems
A comparison of vehicle emissions control strategies for smart cities
Evaluation of transformer models for financial targeted sentiment analysis in Spanish
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans
RSRNeT: a novel multi-modal network framework for named entity recognition and relation extraction
Secure biometric authentication with de-duplication on distributed cloud storage
Pairing algorithm for varying data in cluster based heterogeneous wireless sensor networks
Identification of soil type in Pakistan using remote sensing and machine learning
Automatic distractor generation in multiple-choice questions: a systematic literature review
A systematic review of routing attacks detection in wireless sensor networks
Quantum readout and gradient deep learning model for secure and sustainable data access in IWSN
Robust metabolic syndrome risk score based on triangular areal similarity
Joint intent detection and slot filling with syntactic and semantic features using multichannel CNN-BiLSTM
Intelligent real-life key-pixel image detection system for early Arabic sign language learners
Learning of the user behavior structure based on the time granularity analysis model
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis
Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task
A method for creating interactive, user-resembling avatars
Comparative analysis of deep learning algorithms for dental caries detection and prediction from radiographic images: a comprehensive umbrella review
Development of a coded suite of models to explore relevant problems in logistics
Defining and measuring microservice granularity - a literature overview
Identifying optical microscope images of CVD-grown two-dimensional MoS 2 by convolutional neural networks and transfer learning
Secure software development: leveraging application call graphs to detect security vulnerabilities
Syntax and prejudice: ethically-charged biases of a syntax-based hate speech recognizer unveiled
Machine learning models and dimensionality reduction for improving the Android malware detection
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches
Petri Net based modeling and analysis for improved resource utilization in cloud computing
Intelligent decision making for energy efficient fog nodes selection and smart switching in the IOT: a machine learning approach
Random k conditional nearest neighbor for high-dimensional data
DTS-AdapSTNet: an adaptive spatiotemporal neural networks for traffic prediction with multi-graph fusion
Data-driven flight path monitoring technique using recurrent neural network for the safety management of commercial aircraft
Experimental interpretation of adequate weight-metric combination for dynamic user-based collaborative filtering
Green city logistics path planning and design based on genetic algorithm
Ten quick tips for improving estimated time of arrival predictions using machine learning in logistics and transportation systems
Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios
A novel privacy protection method of residents' travel trajectories based on federated blockchain and InterPlanetary file systems in smart cities
Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques
Research on quality evaluation of innovation and entrepreneurship education for college students based on random forest algorithm and logistic regression model
Palmprint recognition based on principal line features
Research on melanoma image segmentation by incorporating medical prior knowledge
SA-FLIDS: secure and authenticated federated learning-based intelligent network intrusion detection system for smart healthcare
Multiresolution dendritic cell algorithm for network anomaly detection
Two-stage multi-objective evolutionary algorithm for overlapping community discovery
A hybrid GA-PSO strategy for computing task offloading towards MES scenarios
A novel transformer-based stacking ensemble method with multi-model integration for cancer classification
Multi-modal sentiment analysis framework for Urdu language opinion videos
Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance
FG-Droid: Grouping based feature size reduction for Android malware detection
Reconfigurable monitoring for telecommunication networks
Real-time path planning for autonomous vehicle off-road driving
Distributed search and fusion for wine label image retrieval
Movie recommendation model based on probabilistic matrix decomposition using hybrid AdaBoost integration
AMSF: attention-based multi-view slice fusion for early diagnosis of Alzheimer's disease
The analysis of the structural parameter influences on measurement errors in a binocular 3D reconstruction system: a portable 3D system
Design of sports training information analysis system based on a multi-target visual model under sensor-scale spatial transformation
Random forests with parametric entropy-based information gains for classification and regression problems
Improvement of deep cross-modal retrieval by generating real-valued representation
Identifying topology of distribution substation in power Internet of Things using dynamic voltage load fluctuation flow analysis
TCP adaptation with network coding and opportunistic data forwarding in multi-hop wireless networks
A novel air quality monitoring and improvement system based on wireless sensor and actuator networks using LoRa communication
A Viterbi decoder and its hardware Trojan models: an FPGA-based implementation study
Clustering-based Failed goal Aware Hindsight Experience Replay
A destructive active defense algorithm for deepfake face images
Rapid global path planning algorithm for unmanned surface vehicles in large-scale and multi-island marine environments
Optimization study of intelligent accounting manager system modules in adaptive behavioral pattern learning and simulation
ResMem-Net: memory based deep CNN for image memorability estimation
A new imperialist competitive algorithm with spiral rising mechanism for solving path optimization problems
Predicting bankruptcy of firms using earnings call data and transfer learning
Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning
Lean thinking by integrating with discrete event simulation and design of experiments: an emergency department expansion
Blockchain technology in the pharmaceutical industry: a systematic review
pyVHR: a Python framework for remote photoplethysmography
Using application benchmark call graphs to quantify and improve the practical relevance of microbenchmark suites
A systematic review of automated pre-processing, feature extraction and classification of cardiotocography
Modular inverse visual cryptography for balancing security, quality, and efficiency in image transmission
Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems
Collaborative filtering based on GNN with attribute fusion and broad attention
Wireless optimization for sensor networks using IoT-based clustering and routing algorithms
DeepEMPR: coffee leaf disease detection with deep learning and enhanced multivariance product representation
Mining known attack patterns from security-related events
A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks
Healthy-unhealthy animal detection using semi-supervised generative adversarial network
LSTM-based sentiment analysis for stock price forecast
Residual block fully connected DCNN with categorical generalized focal dice loss and its application to Alzheimer's disease severity detection
Data leakage detection in machine learning code: transfer learning, active learning, or low-shot prompting?
A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model
An evolutionary decomposition-based multi-objective feature selection for multi-label classification
A dual-population Constrained Many-Objective Evolutionary Algorithm based on reference point and angle easing strategy
Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers
Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles
AI in dermatology: a comprehensive review into skin cancer detection
Collective view: mapping Sargassum distribution along beaches
Context-based sentiment analysis on customer reviews using machine learning linear models
RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data
An enhanced lightweight T-Net architecture based on convolutional neural network (CNN) for tomato plant leaf disease classification
Computational linguistics based text emotion analysis using enhanced beetle antenna search with deep learning during COVID-19 pandemic
Efficient data transmission on wireless communication through a privacy-enhanced blockchain process
Federated learning for millimeter-wave spectrum in 6G networks: applications, challenges, way forward and open research issues
An effective classification framework for brain-computer interface system design based on combining of fNIRS and EEG signals
An effective transformer based on dual attention fusion for underwater image enhancement
An ensemble approach for imbalanced multiclass malware classification using 1D-CNN
Dense symmetric temporal alignment learning for human pose estimation
Integrated multi-task feature learning and interactive active optimization for scene retargeting in preschool educational applications
Predicting academic performance for students' university: case study from Saint Cloud State University
Selection on X 1 + X 2 + ⋯ + X m via Cartesian product trees
An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism
A secure cross-domain interaction scheme for blockchain-based intelligent transportation systems
Lightweight-CancerNet: a deep learning approach for brain tumor detection
Stock market trading via actor-critic reinforcement learning and adaptable data structure
Navigating the amino acid sequence space between functional proteins using a deep learning framework
A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis
Parallelisation of equation-based simulation programs on heterogeneous computing systems
The role of GPT in promoting inclusive higher education for people with various learning disabilities: a review
Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development
A comprehensive review of deep learning-based single image super-resolution
Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability
A new parametric information-gain criterion for tree-based machine learning algorithms
Multi-class waste segregation using computer vision and robotic arm
A Baybayin word recognition system
From attributes to communities: a novel approach in social network generation
Performance evaluation of frequency division duplex (FDD) massive multiple input multiple output (MIMO) under different correlation models
Forecasting Bitcoin closing price series using linear regression and neural networks models
A railway monitoring data sharing incentive scheme based on reputation value and smart contracts
Attenuated and normalized item-item product network for sequential recommendation
Service humanoid robotics: a novel interactive system based on bionic-companionship framework
Research on emotion classification technology of movie reviews based on topic attention mechanism and dual channel long short term memory
A selective approach to stemming for minimizing the risk of failure in information retrieval systems
A hybrid scheduling approach for mega event transportation: integrating harmony search and black widow optimization
Crossfire: cross-domain feature integration for robust time series classification
Fast and accurate face recognition system using MORSCMs-LBP on embedded circuits
A survey of streaming data anomaly detection in network security
Understanding hate speech: the HateInsights dataset and model interpretability
Empirical copula-based data augmentation for mixed-type datasets: a robust approach for synthetic data generation
Introducing ProsperNN - a Python package for forecasting with neural networks
LEMABE: a novel framework to improve analogy-based software cost estimation using learnable evolution model
Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities
Adaptive prototype few-shot image classification method based on feature pyramid
Revolutionizing market surveillance: customer relationship management with machine learning
Exploring Twitter communication dynamics with evolving community analysis
Distributed ledger technology based robust access control and real-time synchronization for consumer electronics
TransGraphNet: robust detection of malicious encrypted network traffic via transformer and graph neural models
Application of improved fuzzy best worst analytic hierarchy process on renewable energy
Latest advancements and prospects in the next-generation of Internet of Things technologies
The impact of supply chain management on a company's operation and decision based on the multidimensional data analysis of upstream and downstream industry market states
Bayesian network model structure based on binary evolutionary algorithm
Machine learning analysis of TCGA cancer data
A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents
A neural machine translation method based on split graph convolutional self-attention encoding
Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning
Fast and exact fixed-radius neighbor search based on sorting
Neural network assisted Kalman filter for INS/UWB integrated seamless quadrotor localization
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition
Introductory programming course: review and future implications
Multi-FusNet: fusion mapping of features for fine-grained image retrieval networks
Vehicle target detection method based on improved YOLO V3 network model
A keyless multimodal-based user authentication scheme using generative adversarial networks
Deep convolutional neural networks for regular texture recognition
A block cipher algorithm identification scheme based on hybrid k-nearest neighbor and random forest algorithm
Developing a blockchain-based digitally secured model for the educational sector in Saudi Arabia toward digital transformation
Predicting energy use in construction using Extreme Gradient Boosting
Assessment of college students' mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
SignVLM: a pre-trained large video model for sign language recognition
Research on license plate recognition based on graphically supervised signal-assisted training
Enhancement of small doppler frequencies detection for LFMCW radar
Optimized virtual reality design through user immersion level detection with novel feature fusion and explainable artificial intelligence
Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection
Towards boosting unlabeled text corpora for Arabic dialect identification
Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble
Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels
Delegated multi-party private set intersections from extendable output functions
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks
Self voting classification model for online meeting app review sentiment analysis and topic modeling
A new affinity matrix weighted k-nearest neighbors graph to improve spectral clustering accuracy
Unveiling the hidden depths: advancements in underwater image enhancement using deep learning and auto-encoders
Predicting student success in MOOCs: a comprehensive analysis using machine learning models
MSKT: multimodal data fusion for improved nursing management in hemorrhagic stroke
UCA-YOLOv8n: a real-time and efficient fruit chunks detection algorithm for meal-assistance robot
Overcoming the IOTLB wall for multi-100-Gbps Linux-based networking
Secure 3D data hiding through cryptographic steganalysis resistance: reducing geometric inconsistency vulnerabilities
Windows malware detection based on static analysis with multiple features
Quantifying the effect of sentiment on information diffusion in social media
A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas
Ten quick tips for electrocardiogram (ECG) signal processing
Control and benchmarking of a 7-DOF robotic arm using Gazebo and ROS