yusuke1997/dblp-id-title huggingface dataset:
Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture
Context-aware IoT-enabled framework to analyse and predict indoor air quality
A hybrid machine learning framework by incorporating categorical boosting and manifold learning for financial analysis
Tree boosting methods for balanced and imbalanced classification and their robustness over time in risk assessment
Application of metaheuristic optimization based support vector machine for milling cutter health monitoring
Yogurt classification using an electronic tongue system and machine learning techniques
Scheduling choice method for flexible job shop problems using a fuzzy decision maker
Hybrid intelligent algorithm aided energy consumption optimization in smart grid systems with edge computing
Enhancements in encoded noisy speech data by background noise reduction
Multi-tiered Artificial Neural Networks model for intrusion detection in smart homes
Real-time impulse response: a methodology based on Machine Learning approaches for a rapid impulse response generation for real-time Acoustic Virtual Reality systems
Intelligent gear decision method for vehicle automatic transmission system based on data mining
A pilot exploration on the use of NIR monitored haemodynamics in gesture recognition for transradial prosthesis control
Thermal coal price forecasting via the neural network
Advancements in end-to-end isolated Kannada ASR system by combining robust noise elimination technique and TDNN
Combined extreme learning machine and max pressure algorithms for traffic signal control
A data-driven optimization approach for automated reviewer assignment using natural language processing
CORPURES: Benchmark corpus for urdu extractive summaries and experiments using supervised learning
Fighting for a future free from violence: A framework for real-time detection of "Signal for Help"
From pixels to pathology: A novel dual-pathway multi-scale hierarchical upsampling network for MRI-based prostate zonal segmentation
AGU: Adaptive gradient unlearning for efficient machine unlearning
A privacy-preserving dialogue system based on argumentation
Improved session-based recommender systems using curriculum learning
Small object detection: A comprehensive survey on challenges, techniques and real-world applications
Minimum cost of job assignment in polynomial time by adaptive unbiased filtering and branch-and-bound algorithm with the best predictor
Microexpression recognition model based on non negative matrix decomposition in intelligent classroom
Deep learning-based dot and globule segmentation with pixel and blob-based metrics for evaluation
Leveraging asynchronous federated learning to predict customers financial distress
An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification
Society sync - Digitalize society management systems with artificial intelligence technologies
Predicting gross domestic product to macroeconomic indicators
Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images
Automated pneumothorax segmentation and quantification algorithm based on deep learning
Concepts and experiments on psychoanalysis driven computing
Design and implementation of EventsKG for situational monitoring and security intelligence in India: An open-source intelligence gathering approach
Weather Conditions and COVID-19 Cases: Insights from the GCC Countries
Improving graph embeddings via entity linking: A case study on Italian clinical notes
A conceptual framework for supply chain digitalization using integrated systems model approach and DIKW hierarchy
GastroVRG: Enhancing early screening in gastrointestinal health via advanced transfer features
A novel binary Stellar Oscillation Optimizer for feature selection optimization problems
Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell
Comprehensive analysis on laser spots adversarial attacks using genetic algorithm
Claude 2.0 large language model: Tackling a real-world classification problem with a new iterative prompt engineering approach
Reinforcement learning-based alpha-list iterated greedy for production scheduling
Optimization of input parameters of ANN-driven plasma source through nature-inspired evolutionary algorithms
Darknet traffic detection and characterization with models based on decision trees and neural networks
Enhancing lung disease diagnosis with deep-learning-based CT scan image segmentation
Using feature maps to unpack the CNN 'Black box' theory with two medical datasets of different modality
Application of computer vision algorithm in ceramic surface texture analysis and prediction
Multisource neural network feature map fusion: An efficient strategy to detect plant diseases
Virtualization resource scheduling and optimization method based on swarm intelligent systems
Using Generative Adversarial Networks for the synthesis of emotional facial expressions in virtual educational environments
Multi-modal document classification in AEC asset management
A novel dataset and lightweight detection system for broken bars induction motors using optimizable neural networks
Multiobjective reverse logistics model for inventory management with environmental impacts: An application in industry
Emotion recognition in the times of COVID19: Coping with face masks
A new local search for the bees algorithm to optimize multiple traveling salesman problem
Visual question answering for medical diagnosis
A GPU-based accelerated ELM and deep-ELM training algorithms for traditional and deep neural networks classifiers
Speech emotion recognition using machine learning - A systematic review
Efficient intent classification and entity recognition for university administrative services employing deep learning models
Similarity index of the STFT-based health diagnosis of variable speed rotating machines
Forensic detection of heterogeneous activity in data using deep learning methods
High-dimensional expensive multi-objective optimization via additive structure
Benchmarking deep neural representations for synthetic data evaluation
Application of improved BP neural network model in bank financial accounting
An adaptive cost-sensitive learning approach in neural networks to minimize local training-test class distributions mismatch
Generalisable deep Learning framework to overcome catastrophic forgetting
AI-predictive vaccine stability: a systems biology framework to modernize regulatory testing and cold chain equity
The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots
Soft prompt enhanced joint learning for cross-domain aspect-based sentiment analysis
Machine-learning methods for detecting tuberculosis in Ziehl-Neelsen stained slides: A systematic literature review
Vehicle route optimizer for waste collection and routing optimization problem
Generative AI for autonomous data analytics
MLMSign: Multi-lingual multi-modal illumination-invariant sign language recognition
Liver cirrhosis prediction: The employment of the machine learning-based approaches
A Q-learning approach to the continuous control problem of robot inverted pendulum balancing
Transferring knowledge between topics in systematic reviews
A three-layer architecture to support disparity map construction in stereo vision systems
Automatic driver distraction detection using deep convolutional neural networks
Early-stage cardiomegaly detection and classification from X-ray images using convolutional neural networks and transfer learning
Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries
Towards efficient wafer visual inspection: Exploring novel lightweight approaches for anomaly detection and defect segmentation
Multi-scale transformer network for super-resolution of visible and thermal air images
The Role and Applications of Semantic Interoperability Tools and eXplainable AI in the Development of Smart Food Systems: Findings from a Systematic Literature Review
Exploration of advancements in handwritten document recognition techniques
MuSeFFF: Multi-stage feature fusion framework for traffic prediction
OPT-IQA: Automated camera parameters tuning framework with IQA-guided optimization
Quantum computing and neuroscience for 6G/7G networks: Survey
Normalized flow networks and generalized information aided PR dynamic analysis
Meta-heuristic approaches for the University Course Timetabling Problem
Robust vector-weighted and matrix-weighted multi-view hard c-means clustering
The assessment model of online vocal music teaching quality under the optimized DL model
Artificial intelligence-driven green innovation in packaging: A systematic review of adoption and diffusion challenges
Visual representation learning using graph-based higher-order heuristic distillation for cell detection in blood smear images
Attention-enhanced LSTM for high-value customer behavior prediction: Insights from Thailand's E-commerce sector
Machine learning for predicting propensity-to-pay energy bills
Artificial intelligence in digital image processing: A bibliometric analysis
Attention-based fuzzy neural networks for self-supervised data annotation
A comprehensive review on multiple hybrid deep learning approaches for stock prediction
AdaFN-AG: Enhancing multimodal interaction with Adaptive Feature Normalization for multimodal sentiment analysis
Novel deep learning approach to model and predict the spread of COVID-19
A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture
Sequence-wise multimodal biometric fingerprint and finger-vein recognition network (STMFPFV-Net)
Attention mechanism enhanced LSTM networks for latency prediction in deterministic MEC networks
Power quality disturbances categorization using Identity Feature Vector and Extreme Learning Machine
An intelligent bankruptcy prediction model using a multilayer perceptron
Stable heuristic miner: Applying statistical stability to discover the common patient pathways from location event logs
Differentially private de-identifying textual medical document is compliant with challenging NLP analyses: Example of privacy-preserving ICD-10 code association
Detection of arrhythmia using weightage-based supervised learning system for COVID-19
Memetic micro-genetic algorithms for cancer data classification
Beyond algorithms: Artificial intelligence driven talent identification with human insight
A systematic literature review of quantum object detection and recognition: research trend, datasets, topics and methods
Efficient fragile watermarking for image tampering detection using adaptive matrix on chaotic sequencing
Development of a novel robot-assisted vocabulary learning system using pure synthetic data
Creative Design of Motion Graphics Based on BicycleGAN Algorithm
Improving the quality of service indices of task allocation in mobile crowd sensing with fuzzy-based inverse stackelberg game theory
Attention-effective multiple instance learning on weakly stem cell colony segmentation
MapReduce teaching learning based optimization algorithm for solving CEC-2013 LSGO benchmark Testsuit
Enhancing latent palmprints using frequency domain analysis
A novel DCNN-ELM hybrid framework for face mask detection
LWR-Net: Learning without retraining for scalable multi-task adaptation and domain-agnostic generalisation
Optimizing the organization of the first mile in agri-food supply chains with a heterogeneous fleet using a mixed-integer linear model
A sentiment analysis approach for understanding users' perception of metaverse marketplace
Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis
Apache Flink and clustering-based framework for fast anonymization of IoT stream data
Distributed artificial intelligence: Taxonomy, review, framework, and reference architecture
Masked face image segmentation using a multilevel threshold with a hybrid fitness function
Novel optimization method for unbalanced assignment problems with multiple jobs: The Dhouib-Matrix-AP2
Approximating stability for applied argument-based inquiry
Human detection on antistatic floors
GAN-ViT-CMFD: A novel framework integrating generative adversarial networks and vision transformers for enhanced copy-move forgery detection and classification with spectral clustering
A corporate credit evaluation method considering strong feature privacy with non-private label: A vertical heterogeneous feature fusion approach
CTR-Net: Scalable safe reinforcement learning via neural approximations of control theoretic regulators
Ideological orientation and extremism detection in online social networking sites: A systematic review
IoT data sharing technology based on blockchain and federated learning algorithms
NSS-MDL: Natural Scene Statistics-guided multi-task deep learning for no-reference point cloud quality assessment
Detecting new obfuscated malware variants: A lightweight and interpretable machine learning approach
Advanced AI techniques for root disease classification in dental X-rays using deep learning and metaheuristic approach
Artificial intelligent solvers for the HIV-1 system including AIDS based on the cancer cells
Association rules combined fuzzy decision quality control technology in intelligent manufacturing
From detection to intervention: An end-to-end system for recognizing the "signal for help" gesture in real-time
Anti-drone systems: An attention based improved YOLOv7 model for a real-time detection and identification of multi-airborne target
XBNet: An extremely boosted neural network
Explainable AI based LightGBM prediction model to predict default borrower in social lending platform
Analysis of the application of path finding system based on efficiency improvement in smart tourism
Mimicking human attention in driving scenarios for enhanced Visual Question Answering: Insights from eye-tracking and the human attention filter
MNC: A multi-agent framework for complex network configuration
Robust pooling through the data mode
Remote supervised relationship extraction method of clustering for knowledge graph in aviation field
Multi-objective optimization of power networks integrating electric vehicles and wind energy
Deep learning-based CAD diagnosis using CNNs
AIOps for log anomaly detection in the era of LLMs: A systematic literature review
Deep learning for automated encrustation detection in sewer inspection
Content moderation assistance through image caption generation
Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension
DeLiVoTr: Deep and light-weight voxel transformer for 3D object detection
UAV exploration for indoor navigation based on deep reinforcement learning and intrinsic curiosity
Temporal event localization in sports videos via self-supervised proposal generation and cross-modal fusion
Artificial Intelligence applications in healthcare: A bibliometric and topic model-based analysis
Multiocular disease detection using a generic framework based on handcrafted and deep learned feature analysis
A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture
Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis
Nonlinear system identification using modified variational autoencoders
Dynamic economic dispatch using hybrid CSAJAYA algorithm considering ramp rates and diverse wind profiles
A comparative evaluation of intrusion detection systems on the edge-IIoT-2022 dataset
Recognition of printed Urdu script in Nastaleeq font by using CNN-BiGRU-GRU Based Encoder-Decoder Framework
Design of a real-time crime monitoring system using deep learning techniques
Synthetic generated data for intelligent corrosion classification in oil and gas pipelines
Next level of hospitalisation through smart ICU
An effective explainable food recommendation using deep image clustering and community detection
Q-learning global path planning for UAV navigation with pondered priorities
Fuzzy rule based classifier model for evidence based clinical decision support systems
Exploring the VAK model to predict student learning styles based on learning activity
Effect of image binarization thresholds on breast cancer identification in mammography images using OTSU, Niblack, Burnsen, Thepade's SBTC
The effect of perturbation and noise folding on the recovery performance of low-rank matrix via the nuclear norm minimization
Knowledge graph learning algorithm based on deep convolutional networks
Review of artificial intelligence-based applications for money laundering detection
A GCN and Graph Self-Attention Contemporary Network with Temporal Depthwise Convolutions for Gait Recognition
Liquefaction susceptibility using machine learning based on SPT data
Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in predicting wind speed and energy generation
Combined learning models for survival analysis of patients with pulmonary hypertension
Binary classification with Fuzzy-Bayesian logistic regression using Gaussian fuzzy numbers
Design and development of a dexterous soft-robotics based assistive exoglove with kinematic modeling
Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study
Automated MeSH term suggestion for effective query formulation in systematic reviews literature search
Deep Residual Network and Transfer Learning-based Person Re-Identification
Improving long-term prediction in industrial processes using neural networks with noise-added training data
Innovative hybrid algorithm for efficient routing of limited capacity vehicles
A novel SCNN-LSTM model for predicting the SNR confidence interval in wearable wireless sensor network
Multi-Agent Reinforcement Learning for Cybersecurity: Classification and survey
A survey on Relation Extraction
STL-ELM: A computationally efficient hybrid approach for predicting high volatility stock market
Latent code-based fusion: A Volterra neural network approach
Prediction of microstrip antenna dimension using optimized auto-metric Graph Neural Network
Argumentation approaches for explanaible AI in medical informatics
Personalized privacy in OSNs: Evaluating deep learning models for context-aware image editing
Enhancing Word Sense Disambiguation for Amharic homophone words using Bidirectional Long Short-Term Memory network
Probability propagation for path planning in unknown environments
Federated learning for cyber attack detection to enhance security in protection schemes of cyber-physical energy systems
Efficient combination of deep learning and tree-based classification models for solar panel dust detection
Development of MCS based-ensemble models using CEEMDAN decomposition and machine intelligence
Natural disasters detection using explainable deep learning
MedWGAN based synthetic dataset generation for Uveitis pathology
Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps
Tiny object detection model based on competitive multi-layer neural network (TOD-CMLNN)
Novel uterine contraction signals decomposition for enhanced preterm and birth imminency prediction
Intelligent device recognition of internet of things based on machine learning
Detection of human emotions through facial expressions using hybrid convolutional neural network-recurrent neural network algorithm
A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement
In-depth investigation of speech emotion recognition studies from past to present -The importance of emotion recognition from speech signal for AI-
Time efficient variants of Twin Extreme Learning Machine
Determinates of investor opinion gap around IPOs: A machine learning approach
RPS: Portfolio asset selection using graph based representation learning
Classification of Vascular Dementia on magnetic resonance imaging using deep learning architectures
Advancements and challenges of deep learning architectures for aerial image analysis: A systematic review
Distribution path optimization of carbon emission-reducing agricultural products in the cold chain from a green economy perspective
Machine learning and knowledge engineering for cognitive memory assessment of age groups by anomalies in a serious game
An effective approach for early fuel leakage detection with enhanced explainability
Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach
Detection model based on improved faster-RCNN in apple orchard environment
Leveraging hybrid machine learning and data fusion for accurate mapping of malaria cases using meteorological variables in western India
Optimized CNN-RNN architecture for rapid and accurate identification of hazardous bacteria in water samples
Thank you for attention: A survey on attention-based artificial neural networks for automatic speech recognition
Integrated multi-strategy sand cat swarm optimization for path planning applications
Using 5G in smart cities: A systematic mapping study
FCOSH: A novel single-head FCOS for faster object detection in autonomous-driving systems
Metaheuristics in automated machine learning: Strategies for optimization
Search strategy formulation for systematic reviews: Issues, challenges and opportunities
Deep Learning-based Bangla Sign Language Detection with an Edge Device
ABARC: An agent-based rough sets clustering algorithm
Enhanced Online Grooming detection employing Context Determination and Message-Level Analysis
Decoding legal processes: AI-driven system to streamline processing of the criminal records in Moroccan courts
Why do consumers adopt smart voice assistants for shopping purposes? A perspective from complexity theory
Overhead object projector: OverProjNet
PKNN-MIFS: A Parallel KNN Classifier over an Optimal Subset of Features
A systematic survey on multimodal emotion recognition using learning algorithms
Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading
Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques
Systematic review of predictive maintenance practices in the manufacturing sector
Integrating explainable machine learning and user-centric model for diagnosing cardiovascular disease: A novel approach
A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field
Continual learning for predictive maintenance: Overview and challenges
Pretraining instance segmentation models with bounding box annotations
Cognitive map formation under uncertainty via local prediction learning
History matching of petroleum reservoirs using deep neural networks
A multi-class hybrid variational autoencoder and vision transformer model for enhanced plant disease identification
Scalable and Adaptive Large-Scale Group Decision Making in Dynamic Social Networks via Graph Convolutional Neural Networks#
An optimization method based on improved ant colony algorithm for complex product change propagation path
Assessing operational accuracy of CNN-based image classifiers using an oracle surrogate
An automatic system to detect colorectal polyp using hybrid fused method from colonoscopy images
Optimizing production efficiency in semiconductor enterprises by an improve and optimized biogeographical optimization algorithm based on three-layer coding
Cluster-based oversampling with area extraction from representative points for class imbalance learning
Fusing explainable deep learning ensembles and LLM recommendations for real-time plant leaf disease diagnosis
Variational AutoEncoder for synthetic insurance data
A Meyer wavelet neural networks procedure for prediction, pantograph and delayed singular models
Deep learning for precision agriculture: A bibliometric analysis
Authenticating devices based on audio feature selection with scene-specific tuning and landmark augmentation