yusuke1997/dblp-id-title huggingface dataset:
A literature review of research on question generation in education
Artificial intelligence-driven insights into Arab media's sustainable development goals coverage
FedDL: personalized federated deep learning for enhanced detection and classification of diabetic retinopathy
R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks
A survey on modeling dynamic business processes
Impact analysis of keyword extraction using contextual word embedding
A cosine adaptive particle swarm optimization based long-short term memory method for urban green area prediction
Observer based robust H ∞ fuzzy tracking control: application to an activated sludge process
A novel human-inspired solution to high-dimensional optimization problems
Symbolic model checking quantum circuits in Maude
Three-layer heterogeneous network based on the integration of CircRNA information for MiRNA-disease association prediction
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters
An efficient multi-factor authentication scheme based CNNs for securing ATMs over cognitive-IoT
An introduction of preference based stepping ahead firefly algorithm for the uncapacitated examination timetabling
An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets
Seamless transformation from use case to sequence diagrams
Adaptive divergence for rapid adversarial optimization
A new lattice-based password authenticated key exchange scheme with anonymity and reusable key
A learning-based synthesis approach of reward asynchronous probabilistic games against the linear temporal logic winning condition
A novel facial expression recognition framework using deep learning based dynamic cross-domain dual attention network
SAFE-CAST: secure AI-federated enumeration for clustering-based automated surveillance and trust in machine-to-machine communication
Deep convolutional neural network architecture for facial emotion recognition
An intelligent zero trust secure framework for software defined networking
The effects of mismatched train and test data cleaning pipelines on regression models: lessons for practice
Research on the control strategies of data flow transmission paths for MPTCP-based communication networks
Online suicide ideation detection (OnSIDe): a context-aware transfer learning approach using BERT-CNN
Deep learning for aspect-based sentiment analysis: a review
Named entity recognition and emotional viewpoint monitoring in online news using artificial intelligence
Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model
Solution strategy based on Gaussian mixture models and dispersion reduction for the capacitated centered clustering problem
Comparison of various approaches to tagging for the inflectional Slovak language
RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction
Research artifacts and citations in computer systems papers
Efficient context-aware computing: a systematic model for dynamic working memory updates in context-aware computing
Identification of significant features and machine learning technique in predicting helpful reviews
Predicting amyloid proteins using attention-based long short-term memory
A review on recent studies utilizing artificial intelligence methods for solving routing challenges in wireless sensor networks
Deep learning in time series forecasting with transformer models and RNNs
MLitB: machine learning in the browser
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images
An optimized deep learning approach for suicide detection through Arabic tweets
JDroid: Android malware detection using hybrid opcode feature vector
An ensemble learning based IDS using Voting rule: VEL-IDS
Web application firewall based on machine learning models
The distributed ledger technology as a measure to minimize risks of poor-quality pharmaceuticals circulation
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
Sentiment classification for employees reviews using regression vector- stochastic gradient descent classifier (RV-SGDC)
Assessing anthropogenic heat flux of public cloud data centers: current and future trends
Fake news detection: state-of-the-art review and advances with attention to Arabic language aspects
Predicting emerging trends: a machine learning approach to topic popularity on social media
A systematic review of deep learning techniques for apple leaf diseases classification and detection
MSCDNet-based multi-class classification of skin cancer using dermoscopy images
Fuzzy inference rule based task offloading model (FI-RBTOM) for edge computing
Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum
A novel IoT-based health and tactical analysis model with fog computing
A hybrid path planning algorithm combining A * and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments
Deep fake detection using a sparse auto encoder with a graph capsule dual graph CNN
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets
Short-term wind power forecasting through stacked and bi directional LSTM techniques
WASPAS method and Aczel-Alsina aggregation operators for managing complex interval-valued intuitionistic fuzzy information and their applications in decision-making
A novel autoencoder approach to feature extraction with linear separability for high-dimensional data
Enhancing Alzheimer's disease classification through split federated learning and GANs for imbalanced datasets
Proj2Proj: self-supervised low-dose CT reconstruction
AutoWIG: automatic generation of python bindings for C++ libraries
Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input
Visual design of green information in urban environment based on global similarity calculation and multi-dimensional visualization technology
Self-supervised recurrent depth estimation with attention mechanisms
LC-TMNet: learned lossless medical image compression with tunable multi-scale network
Resolving ambiguity in natural language for enhancement of aspect-based sentiment analysis of hotel reviews
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
Enhanced analysis of large-scale news text data using the bidirectional-Kmeans-LSTM-CNN model
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network
Machine learning-assisted genomic profiling to identify differences between Bacillus Calmette-Guérin (BCG) vaccine strains and non-BCG wild-type Mycobacterium bovis
An integrated three-tier trust management framework in mobile edge computing using fuzzy logic
Hand gesture recognition via deep data optimization and 3D reconstruction
An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications
Deep learning-based anomaly-onset aware remaining useful life estimation of bearings
LOGIC: LLM-originated guidance for internal cognitive improvement of small language models in stance detection
High throughput resource efficient reconfigurable interleaver for MIMO WLAN application
Componentizing autonomous underwater vehicles by physical-running algorithms
A bilateral employment situation prediction model for college students using GCN and LSTM
A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer
A knowledge graph algorithm enabled deep recommendation system
Slovak morphological tokenizer using the Byte-Pair Encoding algorithm
Economic insights into credit risk: a deep learning model for predicting loan repayment capacity
An artificial intelligence-based classifier for musical emotion expression in media education
Effectiveness of real-time classroom interactive competition on academic performance: a systematic review and meta-analysis
Evaluating named entity recognition tools for extracting social networks from novels
Anomaly detection method for power system information based on multimodal data
Federated proximal learning with data augmentation for brain tumor classification under heterogeneous data distributions
Reconstruction of super-resolution from high-resolution remote sensing images based on convolutional neural networks
Feature extraction from customer reviews using enhanced rules
Analysis of the performance of Faster R-CNN and YOLOv8 in detecting fishing vessels and fishes in real time
Design and analysis of teaching early warning system based on multimodal data in an intelligent learning environment
Classification of divorce causes during the COVID-19 pandemic using convolutional neural networks
HierbaNetV1: a novel feature extraction framework for deep learning-based weed identification
Design of adaptive ensemble classifier for online sentiment analysis and opinion mining
An interactive and integrated framework for collaborative product development in cloud manufacturing using STEP standard-based ontology model
Remote sensing image analysis and prediction based on improved Pix2Pix model for water environment protection of smart cities
Temporal fusion transformer-based strategy for efficient multi-cloud content replication
Physical human locomotion prediction using manifold regularization
Optimally selecting the top k values from X + Y with layer-ordered heaps
Addressing religious hate online: from taxonomy creation to automated detection
Intrinsic RGB and multispectral images recovery by independent quadratic programming
A user satisfaction model for mobile government services: a literature review
Normalized effect size (NES): a novel feature selection model for Urdu fake news classification
Downscaling MODIS land surface temperature to 90 m using random forest regression to assess transferability
Swarm intelligence-based packet scheduling for future intelligent networks
Fast binary logistic regression
An adaptive congestion control algorithm for improving Transmission Control Protocol performance over cellular-to-cloud networks
A GPU-based solution for fast calculation of the betweenness centrality in large weighted networks
Personalized movie recommendations based on deep representation learning
Leveraging large language models for spelling correction in Turkish
Manifold-adaptive dimension estimation revisited
Research on air quality prediction based on improved long short-term memory network algorithm
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
Multi-modal deep learning framework for damage detection in social media posts
An extended DeLone and McLean's model to determine the success factors of e-learning platform
FrameAxis: characterizing microframe bias and intensity with word embedding
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs
LazyFox: fast and parallelized overlapping community detection in large graphs
Intelligent reflective surfaces in 5G and beyond: optimizing uplink satellite connectivity for IoT
High-fidelity steganography in EEG signals using advanced transform-based methods
Explainable stock prices prediction from financial news articles using sentiment analysis
Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions
Neural noiseprint transfer: a generic noiseprint-based counter forensics framework
DANNP: an efficient artificial neural network pruning tool
MPV: a density-peak-based method for automated cluster number detection
Sonification of reference markers for auditory graphs: effects on non-visual point estimation tasks
Identifying multiscale spatio-temporal patterns in human mobility using manifold learning
Recognition of multi-modal fusion images with irregular interference
Traffic data imputation via knowledge graph-enhanced generative adversarial network
SNF: synthesizing high performance NFV service chains
MSCHF algorithm for minimizing signaling costs and enhancing vertical handover efficiency in wireless communications networks
Semi-supervised associative classification using ant colony optimization algorithm
News sensitive stock market prediction: literature review and suggestions
Predicting cervical cancer risk probabilities using advanced H20 AutoML and local interpretable model-agnostic explanation techniques
Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics
A pan-sharpening network using multi-resolution transformer and two-stage feature fusion
HSDNet: a poultry farming model based on few-shot semantic segmentation addressing non-smooth and unbalanced convergence
Designing spaces to support collaborative creativity in shared virtual environments
Blood cell image segmentation and classification: a systematic review
Challenges and opportunities for Arabic question-answering systems: current techniques and future directions
Gender differences and bias in open source: pull request acceptance of women versus men
Comparative evaluation of machine learning algorithms for phishing site detection
Transformers and capsule networks vs classical ML on clinical data for alzheimer classification
CGCNImp: a causal graph convolutional network for multivariate time series imputation
Applying the S-O-R model to explore impulsive buying behavior driven by influencers on social commerce websites
Clustering uncertain overlapping symptoms of multiple diseases in clinical diagnosis
Gated attention based generative adversarial networks for imbalanced credit card fraud detection
Location decision of low-altitude service station for transfer flight based on modified immune algorithm
Social-aware trajectory prediction using goal-directed attention networks with egocentric vision
Energy consumption analysis of power grid distribution transformers based on an improved genetic algorithm
Attention-based BiLSTM-XGBoost model for reliability assessment and lifetime prediction of digital microfluidic systems
A method of water resources accounting based on deep clustering and attention mechanism under the background of integration of public health data and environmental economy
Enhancing neural collaborative filtering using hybrid feature selection for recommendation
Empirical mode decomposition using deep learning model for financial market forecasting
DISGROU: an algorithm for discontinuous subgroup discovery
2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction
A machine-learning scraping tool for data fusion in the analysis of sentiments about pandemics for supporting business decisions with human-centric AI explanations
Accelerating covering array generation by combinatorial join for industry scale software testing
Scaling laws for Haralick texture features of linear gradients
Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM
Multi-step partitioning combined with SOM neural network-based clustering technique effectively improves SAT solver performance
Image enhancement with art design: a visual feature approach with a CNN-transformer fusion model
Evaluation of feature projection techniques in object grasp classification using electromyogram signals from different limb positions
Enhancing colorectal polyp classification using gaze-based attention networks
What should we know to develop an information robot?
Leveraging deep contrastive learning for semantic interaction
Unbiased machine learning-assisted approach for conditional discretization of human performances
An online intelligent detection method for slurry density in concept drift data streams based on collaborative computing
Automated machine learning for fabric quality prediction: a comparative analysis
Continuous authentication using deep neural networks ensemble on keystroke dynamics
Dynamic prediction of carbon prices based on the multi-frequency combined model
A comprehensive survey of techniques for developing an Arabic question answering system
Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis
lab: an R package for generating analysis-ready data from laboratory records
A robust graph-based computational model for predicting drug-induced liver injury compounds
Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model
A machine learning based framework for IoT devices identification using web traffic
Increasing the explainability and success in classification: many-objective classification rule mining based on chaos integrated SPEA2
Generative artificial intelligence in topic-sentiment classification for Arabic text: a comparative study with possible future directions
Visual resource extraction and artistic communication model design based on improved CycleGAN algorithm
Generative named entity recognition framework for Chinese legal domain
Research on remote sensing image extraction based on deep learning
ConBGAT: a novel model combining convolutional neural networks, transformer and graph attention network for information extraction from scanned image
Learner question's correctness assessment and a guided correction method: enhancing the user experience in an interactive online learning system
Automatic cassava disease recognition using object segmentation and progressive learning
A technology prototype system for rating therapist empathy from audio recordings in addiction counseling
Lightweight multi-scale network for small object detection
Improving word embeddings in Portuguese: increasing accuracy while reducing the size of the corpus
Cloud-to-Thing continuum-based sports monitoring system using machine learning and deep learning model
Offline prompt reinforcement learning method based on feature extraction
Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review
Knowledge enhanced bottom-up affordance grounding for robotic interaction
Optimized Gaussian naïve Bayes for prostate cancer detection in White patients using gene expression data
An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation
A deep learning-based ensemble method for helmet-wearing detection
HTCNN-Attn: a fine-grained hierarchical multi-label deep learning model for disaster emergency information intelligent extraction from social media
Ant colony optimization-based adjusted PID parameters: a proposed method
An adaptive cryptosystem on a Finite Field
On the interpretability of fuzzy knowledge base systems
Malware propagation model for cluster-based wireless sensor networks using epidemiological theory
Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm
A data-driven artificial neural network approach to predict make-up exam participation in higher education
A lightweight segmentation network for endoscopic surgical instruments based on edge refinement and efficient self-attention
Persistent homology classification algorithm
Trajectory classification to support effective and efficient field-road classification
A machine learning-based hybrid recommender framework for smart medical systems
Check-worthy claim detection across topics for automated fact-checking
Deep learning methods for inverse problems
Analysis of the mixed teaching of college physical education based on the health big data and blockchain technology
Communication behavior recognition using CNN-based signal analysis
Prediction method of particle size qualification rate of high-pressure roller mill based on end-edge-cloud synergy
A novel IoT-device management platform for on-the-fly generation of user interface via manifest-file addressing heterogeneity
A multi-scale convolutional neural network-based model for clustering economic risk detection
A hybrid anomaly detection method for high dimensional data
A feature boosted deep learning method for automatic facial expression recognition
Spatial-temporal hypergraph convolutional network for traffic forecasting
Automated generation of process simulation scenarios from declarative control-flow changes
A fast region-based active contour for non-rigid object tracking and its shape retrieval
Long-term forecasting of solar and wind energy patterns using deep learning
Cursive character prediction using a deep learning model
Towards a general application programming interface (API) for injection molding machines
Research on the relationship and prediction model between nighttime lighting data, pm2.5 data, and urban GDP
Saliency detection of textured 3D models based on multi-view information and texel descriptor
YOLOv8-POS: a lightweight model for coal-rock image recognition
Automatic nutrient estimator: distributing nutrient solution in hydroponic plants based on plant growth
Multidimensional solution of fuzzy linear programming
A comparative study of different variable selection methods based on numerical simulation and empirical analysis
A multi-intent based multi-policy relay contrastive learning for sequential recommendation
Lightweight and efficient neural network with SPSA attention for wheat ear detection
SocioPedia+: a visual analytics system for social knowledge graph-based event exploration
Architecture and enhanced-algorithms to manage servers-processes into network: a management system
Semi or fully automatic tooth segmentation in CBCT images: a review
Performance impact of precision reduction in sparse linear systems solvers
Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages
Transfer learning-based English translation text classification in a multimedia network environment
AdvFaceGAN: a face dual-identity impersonation attack method based on generative adversarial networks
Improved object detection approach employing adaptive padding and Viola-Jones algorithm
MultCPM: a multi-omics cancer recurrence prediction model utilizing a multi-head attention mechanism
Data mining-based recommendation system using social networks - an analytical study
Cardiotoxicity detection tool for breast cancer chemotherapy: a retrospective study
Allocating constraint tasks schedules to promote on-demand cloud services by utilizing the Hungarian Algorithm
Accelerated implementation for testing IID assumption of NIST SP 800-90B using GPU
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
Transfer learning approaches for EfficientNetV2 B0 and ImageNet skin cancer classification in a convolutional neural network
Ship detection based on semantic aggregation for video surveillance images with complex backgrounds
Knowledge distillation in deep learning and its applications
ECAsT: a large dataset for conversational search and an evaluation of metric robustness
Achievable rate as affected by active elements distribution in reconfigurable intelligent surfaces for wireless communication
Special issue on analysis and mining of social media data
Design and implementation of the international news commentary Data Intelligent Processing System
Evaluation of unsupervised static topic models' emergence detection ability
Multimodal multi-objective optimization algorithm based on hierarchical environment selection strategy
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms
Proposal for an objective binary benchmarking framework that validates each other for comparing MCDM methods through data analytics
A structured multi-head attention prediction method based on heterogeneous financial data