yusuke1997/dblp-id-title huggingface dataset:
An ensemble approach based on transformation functions for natural gas price forecasting considering optimal time delays
Enhancing machine learning-based forecasting of chronic renal disease with explainable AI
A survey on server-based electronic identification and signature schemes to improve eIDAS: with a new proposal for Turkey
A transformer-based framework for enterprise sales forecasting
Advancing thyroid diagnosis: integrating AI-driven CAD framework with numerical data and ultrasound images
Steady state particle swarm
Mobile-UI-Repair: a deep learning based UI smell detection technique for mobile user interface
Performance enhancement in hydroponic and soil compound prediction by deep learning techniques
Applying auxiliary supervised depth-assisted transformer and cross modal attention fusion in monocular 3D object detection
Quantum-effective exact multiple patterns matching algorithms for biological sequences
A step toward building a unified framework for managing AI bias
Protein-protein interaction prediction using enhanced features with spaced conjoint triad and amino acid pairwise distance
Modelling, simulation and performance evaluation of the IEEE 802.11e protocol with station mobility
STP4: spatio temporal path planning based on pedestrian trajectory prediction in dense crowds
A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection
Adaptive learning algorithm based price prediction model for auction lots - deep clustering based interval quoting
A pre-averaged pseudo nearest neighbor classifier
S-Swin Transformer: simplified Swin Transformer model for offline handwritten Chinese character recognition
Enhanced industrial text classification via hyper variational graph-guided global context integration
New media art design based on fast visual segmentation and 3D image processing
A novel adaptive weight bi-directional long short-term memory (AWBi-LSTM) classifier model for heart stroke risk level prediction in IoT
Comprehensive review of dimensionality reduction algorithms: challenges, limitations, and innovative solutions
Equilibrial service composition model in Cloud manufacturing (ESCM) based on non-cooperative and cooperative game theory for healthcare service equipping
Designing a novel technique for evaluation of tourism informatization in scenic spots from a big data perspective
Smart apiculture management services for developing countries - the case of SAMS project in Ethiopia and Indonesia
Multi-objective genetic programming strategies for topic-based search with a focus on diversity and global recall
Efficient video face recognition based on frame selection and quality assessment
Comparison of EfficientNet CNN models for multi-label chest X-ray disease diagnosis
Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation without the selected completely at random assumption
Automatic emotion recognition in healthcare data using supervised machine learning
Towards suitable description of reference architectures
Emerging IoT domains, current standings and open research challenges: a review
The application of the propensity score matching method in stock prediction among stocks within the same industry
A new smart healthcare framework for real-time heart disease detection based on deep and machine learning
Consensus-based clustering and data aggregation in decentralized network of multi-agent systems
A dynamic features method for retrieval and emotional polarity of digital media images
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study
A computer vision-based system for recognition and classification of Urdu sign language dataset
Adapting multilingual vision language transformers for low-resource Urdu optical character recognition (OCR)
FV-EffResNet: an efficient lightweight convolutional neural network for finger vein recognition
FogFrame: a framework for IoT application execution in the fog
Real time anatomical landmarks and abnormalities detection in gastrointestinal tract
Data privacy during pandemics: a systematic literature review of COVID-19 smartphone applications
Research on the prediction of English topic richness in the context of multimedia data
Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome
A methodological approach for inferring causal relationships from opinions and news-derived events with an application to climate change
DNN-based multi-output model for predicting soccer team tactics
Efficient sepsis detection using deep learning and residual convolutional networks
Adaptive multitask emotion recognition and sentiment analysis using resource-constrained MobileBERT and DistilBERT: an efficient approach for edge devices
Application of visual communication in digital animation advertising design using convolutional neural networks and big data
Connect attack in IoT-WSN detect through cyclic analysis based on forward and backward elimination
A review on abusive content automatic detection: approaches, challenges and opportunities
SENSH: a blockchain-based searchable encrypted data sharing scheme in smart healthcare
CFSAN SNP Pipeline: an automated method for constructing SNP matrices from next-generation sequence data
Implementation of the computer tomography parallel algorithms with the incomplete set of data
Edge computing resource scheduling method based on container elastic scaling
An Urdu speech corpus for emotion recognition
Class incremental learning of remote sensing images based on class similarity distillation
Decomposed multi-objective bin-packing for virtual machine consolidation
RetinoNet: an EfficientNet and feature pyramid network-based framework for accurate diabetic retinopathy classification
A storage-efficient ensemble classification using filter sharing on binarized convolutional neural networks
A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks
Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques
Online painting image clustering for the mental health of college art students based on improved CNN and SMOTE
Detecting malicious code variants using convolutional neural network (CNN) with transfer learning
An LSTM-based optimization algorithm for enhancing quantitative arbitrage trading
Security risk models against attacks in smart grid using big data and artificial intelligence
ST-AFN: a spatial-temporal attention based fusion network for lane-level traffic flow prediction
LSB-based pre-embedding video steganography with rotating & shifting poly-pattern block matrix
A novel approach for yoga pose estimation based on in-depth analysis of human body joint detection accuracy
Intelligent algorithmic framework for detection and mitigation of BeiDou spoofing attacks in vehicular ad hoc networks (VANETs)
Using algorithmic trading to analyze short term profitability of Bitcoin
Malware homology determination using visualized images and feature fusion
Eliciting and modeling emotional requirements: a systematic mapping review
Stock price movement prediction based on Stocktwits investor sentiment using FinBERT and ensemble SVM
Technology investigation on time series classification and prediction
Dynamic decoding and dual synthetic data for automatic correction of grammar in low-resource scenario
SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm
A forensic-driven data model for automatic vehicles events analysis
A literature survey of shapelet quality measures for time series classification
Empirical evaluation of an architectural technical debt index in the context of the Apache and ONAP ecosystems
A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images
DGCFNet: Dual Global Context Fusion Network for remote sensing image semantic segmentation
Enhanced transformer for length-controlled abstractive summarization based on summary output area
A multi-objective algorithm for virtual machine placement in cloud environments using a hybrid of particle swarm optimization and flower pollination optimization
Unlocking insights: integrated text mining and interpretive structural modeling for enhanced user review analysis
Blockchain technology and its impact on sustainable supply chain management in SMEs
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
A social recommendation model based on adaptive residual graph convolution networks
DeepFND: an ensemble-based deep learning approach for the optimization and improvement of fake news detection in digital platform
Interaction and psychological characteristics of art teaching based on Openpose and Long Short-Term Memory network
Morphological and structural complexity analysis of low-resource English-Turkish language pair using neural machine translation models
A progressive decay Mixup data augmentation for long-tailed image classification
Renyi entropy driven hierarchical graph clustering
Beyond buzzwords: NLP reveals common threads in sustainable and circular construction discourse
PAME: plasmonic assay modeling environment
Acoustic Sensors data transmission integrity and endurance with IoT-enabled location-aware framework
Ensembles of decision trees and gradient-based learning for employee turnover rate prediction
A novel framework for three-dimensional electrical impedance tomography reconstruction of maize ear via feature reconfiguration and residual networks
Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction
An End-to-End autonomous driving model based on visual perception for temporary roads
A new cooperative control solution of subway BAS: an improved fuzzy PID control algorithm
Abstractive text summarization of low-resourced languages using deep learning
Generalized relational tensors for chaotic time series
Prescriptive process monitoring: Quo vadis ?
A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting
Lcapy: symbolic linear circuit analysis with Python
Asymptotic stabilization of underactuated surface vehicles with actuator saturation
An autoregressive integrated moving average and long short-term memory (ARIM-LSTM) hybrid model for multi-source epidemic data prediction
Analyzing the critical steps in deep learning-based stock forecasting: a literature review
A fine-tuned YOLOv5 deep learning approach for real-time house number detection
MAC protocol with grouping awareness GMAC for large scale Internet-of-Things network
The Modern Research Data Portal: a design pattern for networked, data-intensive science
Detecting images generated by diffusers
The role of objectively recorded smartphone usage and personality traits in sleep quality
piRNA-disease association prediction based on multi-channel graph variational autoencoder
Quantification of left ventricular mass in multiple views of echocardiograms using model-agnostic meta learning in a few-shot setting
MCV-UNet: a modified convolution & transformer hybrid encoder-decoder network with multi-scale information fusion for ultrasound image semantic segmentation
Augmenting healthy brain magnetic resonance images using generative adversarial networks
A survey on exponential random graph models: an application perspective
A deep learning method for the recognition of solar radio burst spectrum
Solving the inverse heat conduction problem using NVLink capable Power architecture
Mam-Incept-Net: a novel inception model for precise interpretation of mammography images
Composite learning tracking control for underactuated marine surface vessels with output constraints
Efficiently handling constraints in mixed-integer nonlinear programming problems using gradient-based repair differential evolution
Ensemble machine learning reveals key features for diabetes duration from electronic health records
A comparative analysis on question classification task based on deep learning approaches
An empirical Bayes approach to stochastic blockmodels and graphons: shrinkage estimation and model selection
Students' performance in interactive environments: an intelligent model
A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions
Output voltage control of DAB converters based on uncertainty and disturbance estimation
Combining convolutional neural network with transformer to improve YOLOv7 for gas plume detection and segmentation in multibeam water column images
Enhancing river and lake wastewater reuse recommendation in industrial and agricultural using AquaMeld techniques
Deep learning-based dimensional emotion recognition for conversational agent-based cognitive behavioral therapy
Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover
Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning
Enhancing e-learning through AI: advanced techniques for optimizing student performance
Allocation algorithms for multicore partitioned mixed-criticality real-time systems
Are you ashamed? Can a gaze tracker tell?
Detecting security attacks in cyber-physical systems: a comparison of Mule and WSO2 intelligent IoT architectures
An improved image processing algorithm for visual characteristics in graphic design
A sentiment analysis approach for travel-related Chinese online review content
Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data
Comparison of deep learning models in automatic classification of coffee bean species
BSEFNet: bidirectional self-attention edge fusion network salient object detection based on deep fusion of edge features
An empirical study of software ecosystem related tweets by npm maintainers
Effectiveness and optimization of bidirectional long short-term memory (BiLSTM) based fast detection of deep fake face videos for real-time applications
A target tracking method based on adaptive occlusion judgment and model updating strategy
Enhanced detection of accounting fraud using a CNN-LSTM-Attention model optimized by Sparrow search
Real-time biodiversity analysis using deep-learning algorithms on mobile robotic platforms
Deepfake attack prevention using steganography GANs
Grammatical error correction for low-resource languages: a review of challenges, strategies, computational and future directions
A novel automated Parkinson's disease identification approach using deep learning and EEG
Exploring advanced techniques for enhancing CapsNet: custom squashing, pretraining, and routing in large-scale unbalanced data
LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images
Automated composition of Galician Xota - tuning RNN-based composers for specific musical styles using deep Q-learning
Connecting virtual reality and ecology: a new tool to run seamless immersive experiments in R
A review on cultivating effective learning: synthesizing educational theories and virtual reality for enhanced educational experiences
Counting people inside a region-of-interest in CCTV footage with deep learning
Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction
A hybrid ABC-based online evolving spiking neural network for unsupervised anomaly detection in streaming data
Compacting oblivious agents on dynamic rings
Blockchain and smart contract for IoT enabled smart agriculture
Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches
BrainNet: a custom-designed CNN and transfer learning-based models for diagnosing brain tumors from MRI images
Disentangled self-attention neural network based on information sharing for click-through rate prediction
Tuning of controller parameters using Pythagorean fuzzy similarity measure for stable and time delayed unstable plants
Adaptive classification of artistic images using multi-scale convolutional neural networks
System recovery of MIMO nonlinear systems against false data injection attack
AMCFCN: attentive multi-view contrastive fusion clustering net
A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks
Improving the accuracy of soil texture determination using pH and electro conductivity values with ultrasound penetration-based digital soil texture analyzer
The impact of advance organizers in virtual classrooms on the development of integrated science process skills
Two novel outlier detection approaches based on unsupervised possibilistic and fuzzy clustering
Malware detection framework based on graph variational autoencoder extracted embeddings from API-call graphs
Human pose estimation in physiotherapy fitness exercise correction using novel transfer learning approach
Comparative study of SPI success factors in global and in-house environment for large-scale software companies
Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm
A natural language processing based technique for sentiment analysis of college english corpus
The k conditional nearest neighbor algorithm for classification and class probability estimation
You Only Look Once 11 (YOLO11) optimization for lightweight and accurate plant detection in uncrewed aerial vehicle imagery
An Al-BERT-Bi-GRU-LDA algorithm for negative sentiment analysis on Bilibili comments
Graph coloring using the reduced quantum genetic algorithm
Unified extractive-abstractive summarization: a hybrid approach utilizing BERT and transformer models for enhanced document summarization
An agent-based secure privacy-preserving decentralized protocol for sharing and managing digital health passport information during crises
A remaining useful life estimation method based on long short-term memory and federated learning for electric vehicles in smart cities
Matching sensor ontologies through siamese neural networks without using reference alignment
CapPlant: a capsule network based framework for plant disease classification
Dynamic mutual manufacturing and transportation routing service selection for cloud manufacturing with multi-period service-demand matching
Event detection in finance using hierarchical clustering algorithms on news and tweets
CAPN: a Combine Attention Partial Network for glove detection
Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms
A video summarization framework based on activity attention modeling using deep features for smart campus surveillance system
Modularization in Belief-Desire-Intention agent programming and artifact-based environments
A flexible perception method of thin smoke based on patch total bounded variation for buildings
Patent lifetime prediction using LightGBM with a customized loss
A comparative study of feature selection and feature extraction methods for financial distress identification
Evaluation of predictive maintenance efficiency with the comparison of machine learning models in machining production process in brake industry
Design of intelligent financial data management system based on higher-order hybrid clustering algorithm
Predicting software developer sentiment on self-admitted technical debt
Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Cword2vec: a novel morphological rule-based word embedding approach for Urdu text sentiment analysis
Data driven healthcare insurance system using machine learning and blockchain technologies
How does serif vs sans serif typeface impact the usability of e-commerce websites?
Online shopping consumer perception analysis and future network security service technology using logistic regression model
TaGra: an open Python package for easily generating graphs from data tables through manifold learning
Optimal placement of tsunami sensors with depth constraint
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators
CSA-DE-LR: enhancing cardiovascular disease diagnosis with a novel hybrid machine learning approach
Your blush gives you away: detecting hidden mental states with remote photoplethysmography and thermal imaging
On parsimony and clustering
Hybrid ARIMA-LSTM for COVID-19 forecasting: a comparative AI modeling study
A review of organization-oriented phishing research
Designing AI-powered translation education tools: a framework for parallel sentence generation using SauLTC and LLMs
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
Immersive virtual environments and embodied agents for e-learning applications
Implementing generalized deep-copy in MPI
A generalized fuzzy clustering framework for incomplete data by integrating feature weighted and kernel learning
Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review
Tibyan corpus: balanced and comprehensive error coverage corpus using ChatGPT for Arabic grammatical error correction
Towards optimal sparse CNNs: sparsity-friendly knowledge distillation through feature decoupling
Deep learning-based methodology for vulnerability detection in smart contracts
A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model
An automated AI-powered IoT algorithm with data processing and noise elimination for plant monitoring and actuating
Analysis on the impact of dynamic innovation investment strategy of green supply chain enabled by blockchain
A novel approach to recognition of Alzheimer's and Parkinson's diseases: random subspace ensemble classifier based on deep hybrid features with a super-resolution image
An activity theory-based exploration of "Eyeland", a task-based serious game for EFL visually impaired students
Increasing fault tolerance of data plane on the internet of things using the software-defined networks
Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization
Avoiding "conflicts of interest": a computational approach to scheduling parallel conference tracks and its human evaluation
Sequence-based undersampling: an algorithm for managing imbalanced datasets
Text-image semantic relevance identification for aspect-based multimodal sentiment analysis
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?
Impact of COVID-19 lockdown on air quality analyzed through machine learning techniques
Optimal power allocation for a wireless cooperative network with UAV
Lightweight graph convolutional network with multi-attention mechanisms for intelligent action recognition in online physical education
Design and research of automated warehouse simulation platform based on virtual visualization framework
Filipino sign language alphabet recognition using Persistent Homology Classification algorithm
A systematic literature review of lightweight YOLO models for object detection
A systematic metadata harvesting workflow for analysing scientific networks
A knowledge graph embedding model based attention mechanism for enhanced node information integration
Diagnosis of dengue virus infection using spectroscopic images and deep learning
Adaptive control for uncrewed aerial vehicles based on communication information optimization in complex environments
Identification of core sub-team on scientific collaboration networks with Shapley method
Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm
Swarm algorithms for sustainable dynamic flexible job shop rescheduling under machine breakdown in smart manufacturing plants
Isolation of multiple electrocardiogram artifacts using independent vector analysis
Hybrid state analysis with improved firefly optimized linear congestion models of WSNs for DDOS & CRA attacks