yusuke1997/dblp-id-title huggingface dataset:
A model based LSTM and graph convolutional network for stock trend prediction
Efficient-gastro: optimized EfficientNet model for the detection of gastrointestinal disorders using transfer learning and wireless capsule endoscopy images
Algorithm based on normal coordinate vectors with 16 segments for the data fusion from hand-written Arabic text implemented with MATLAB
Semi-2DCAE: a semi-supervision 2D-CNN AutoEncoder model for feature representation and classification of encrypted traffic
3D point cloud lossy compression using quadric surfaces
Investigating the effect of the reality gap on the human psychophysiological state in the context of human-swarm interaction
OncoLnc: linking TCGA survival data to mRNAs, miRNAs, and lncRNAs
MSR-UNet: enhancing multi-scale and long-range dependencies in medical image segmentation
Optimizing marine vehicles industry: a hybrid analytical hierarchy process and additive ratio assessment approach for evaluating and selecting IoT-based marine vehicles
Optimizing multimodal feature selection using binary reinforced cuckoo search algorithm for improved classification performance
Linear B-cell epitope prediction for SARS and COVID-19 vaccine design: Integrating balanced ensemble learning models and resampling strategies
Optimization of the image acquisition procedure in low-field MRI for non-destructive analysis of loin using predictive models
Genome assembly composition of the String "ACGT" array: a review of data structure accuracy and performance challenges
Understanding the black-box: towards interpretable and reliable deep learning models
A detailed study of resampling algorithms for cyberattack classification in engineering applications
Clawpack: building an open source ecosystem for solving hyperbolic PDEs
A novel hybrid algorithm based on Harris Hawks for tumor feature gene selection
DDoS attack detection in Edge-IIoT digital twin environment using deep learning approach
Towards a component-based system model to improve the quality of highly configurable systems
Visual emotional resource extraction and communication design based on improved style transfer algorithm
Integrating User eXperience practices into software development processes: implications of the UX characteristics
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Towards ubiquitous requirements engineering through recommendations based on context histories
Robustness of privacy-preserving collaborative recommenders against popularity bias problem
A survey of Sybil attack countermeasures in IoT-based wireless sensor networks
Using artificial intelligence to explore sound symbolic expressions of gender in American English
Packaging style design based on visual semantic segmentation technology and intelligent cyber physical system
Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline
Diversified caching algorithm with cooperation between edge servers
Heterogeneous mission planning for a single unmanned aerial vehicle (UAV) with attention-based deep reinforcement learning
Computational approach for counting of SISH amplification signals for HER2 status assessment
A strong construction of S-box using Mandelbrot set an image encryption scheme
Self-supervised learning methods and applications in medical imaging analysis: a survey
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Laser communications system with drones as relay medium for healthcare applications
Multimodal image fusion for enhanced vehicle identification in intelligent transport
Contradiction in text review and apps rating: prediction using textual features and transfer learning
Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline
A systematic review on machine learning models for online learning and examination systems
Recurrent attention U-Net for segmentation and quantification of breast arterial calcifications on synthesized 2D mammograms
Identify devices and events from non-IP heterogeneous IoT network traffic
Hybrid quantum search with genetic algorithm optimization
Prediction model of stock return on investment based on hybrid DNN and TabNet model
SSMFN: a fused spatial and sequential deep learning model for methylation site prediction
Classification of Curcuma longa and Curcuma zanthorrhiza using transfer learning
Level up your coding: a systematic review of personalized, cognitive, and gamified learning in programming education
Semantic approaches for query expansion: taxonomy, challenges, and future research directions
A new deep learning-based technique for rice pest detection using remote sensing
A novel hybrid face mask detection approach using Transformer and convolutional neural network models
Attention-aware with stacked embedding for sentiment analysis of student feedback through deep learning techniques
fMRI-based Alzheimer's disease detection via functional connectivity analysis: a systematic review
Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
Recent advances in the inverse design of silicon photonic devices and related platforms using deep generative models
A systematic literature review on spam content detection and classification
Tuning path tracking controllers for autonomous cars using reinforcement learning
Data-driven remaining useful life prediction based on domain adaptation
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation
Enhancing task execution: a dual-layer approach with multi-queue adaptive priority scheduling
Comprehensive empirical evaluation of feature extractors in computer vision
Improved transfer learning using textural features conflation and dynamically fine-tuned layers
Solving the clustered traveling salesman problem via traveling salesman problem methods
A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network
Classifier uncertainty: evidence, potential impact, and probabilistic treatment
Ensemble learning approach for distinguishing human and computer-generated Arabic reviews
Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning
Mechanical fault diagnosis of high voltage circuit breaker using multimodal data fusion
On the development of diagnostic support algorithms based on CPET biosignals data via machine learning and wavelets
Majority clustering for imbalanced image classification
Deep learning and support vector machines for transcription start site identification
Enhanced information cross-attention fusion for drug-target binding affinity prediction
EvoNEST, a modular application for comprehensive species-based sampling and data management in comparative biology
Hybrid deep learning approach for brain tumor classification using EfficientNetB0 and novel quantum genetic algorithm
Improving Gaussian Naive Bayes classification on imbalanced data through coordinate-based minority feature mining
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Aczel Alsina t-norm and t-conorm-based aggregation operators under linguistic interval-valued intuitionistic fuzzy setting with application
One for "All": a unified model for fine-grained sentiment analysis under three tasks
Adaptive machine learning approaches utilizing soft decision-making via intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices
Numerical dispersed flow simulation of fire-flake particle dynamics and its learning representation
MFAM-AD: an anomaly detection model for multivariate time series using attention mechanism to fuse multi-scale features
Efficiency aware scheduling techniques in cloud computing: a descriptive literature review
A zero-trust based scheme for detecting illegal terminals in the Internet of Things of smart grid
Efficient security level in wireless sensor networks (WSNs) using four-factors authentication over the Internet of Things (IoT)
A survey of accepted authors in computer systems conferences
Design of tennis auxiliary teaching system based on reinforcement learning and multi-feature fusion
SMAD-LDS: enhanced secure message authentication and dissemination with lightweight digital signature in the Internet of Vehicles
COVID-19: a new deep learning computer-aided model for classification
A prediction and imputation method for marine animal movement data
DANNET: deep attention neural network for efficient ear identification in biometrics
An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
Two-degree of freedom Mahalanobis classifier for smartphone-camera identification from natural digital images
A machine learning assistant for detecting fraudulent activities in synchronous online programming exams
Enhancing the prediction of vitamin D deficiency levels using an integrated approach of deep learning and evolutionary computing
Particle swarm optimization framework for Parkinson's disease prediction
Correlation coefficients on normal wiggly dual hesitant fuzzy sets: an application in the selection of real estate agents
An efficient combined intelligent system for segmentation and classification of lung cancer computed tomography images
Performance and simulation analysis of 802.11ax OFDMA in contention-driven scenarios
Detection of partial discharge patterns in hybrid high voltage power transmission lines based on parallel recognition method
Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies
MonoPhy : a simple R package to find and visualize monophyly issues
X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution
Research on multi-object detection technology for road scenes based on SDG-YOLOv5
An approach for semantic integration of heterogeneous data sources
Intelligent search system for resume and labor law
Intelligent reflecting surface backscatter-enabled physical layer security enhancement via deep reinforcement learning
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language
Transfer learning based approach for lung and colon cancer detection using local binary pattern features and explainable artificial intelligence (AI) techniques
Categorization of Alzheimer's disease stages using deep learning approaches with McNemar's test
Plagiarism detection across languages: a comprehensive study of Arabic and English-to-Arabic long documents
Offloading the computational complexity of transfer learning with generic features
Urban public bicycle dispatching optimization method
A knowledge graph based question answering method for medical domain
SENSES-ASD: a social-emotional nurturing and skill enhancement system for autism spectrum disorder
On the influence of artificially distorted images in firearm detection performance using deep learning
An innovative artificial neural network model for smart crop prediction using sensory network based soil data
Construction of a user-friendly software-defined networking management using a graph-based abstraction layer
Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks
Mobile-assisted and gamification-based language learning: a systematic literature review
A novel method for credit scoring based on feature transformation and ensemble model
Using social media and personality traits to assess software developers' emotional polarity
Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
A novel intelligent agent-based framework for appropriate stream selection from perceptive of career counseling
An optimization algorithm for maximum quasi-clique problem based on information feedback model
Topological insights and hybrid feature extraction for breast cancer detection: a persistent homology classification approach
Full depth CNN classifier for handwritten and license plate characters recognition
Persona2vec: a flexible multi-role representations learning framework for graphs
Detection of offensive terms in resource-poor language using machine learning algorithms
IoT based smart home automation using blockchain and deep learning models
Optimizing transformer-based prediction of human microbe-disease associations through integrated loss strategies
A lightweight framework for cyber risk management in Western Balkan higher education institutions
Background segmentation in difficult weather conditions
EquiRate : balanced rating injection approach for popularity bias mitigation in recommender systems
Generative AI and future education: a review, theoretical validation, and authors' perspective on challenges and solutions
Real-time DDoS flood attack monitoring and detection (RT-AMD) model for cloud computing
Deep learning based Sequential model for malware analysis using Windows exe API Calls
Coordinated ramp signal optimization framework based on time series flux-correlation analysis
Estimation of deracinated trees area in temperate forest with satellite images employing machine learning methods
Musculoskeletal modeling and humanoid control of robots based on human gait data
Multi-sensor network tracking research utilizing searchable encryption algorithm in the cloud computing environment
Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control
An adaptive method for determining the optimal number of topics in topic modeling
Deep ensemble learning for gastrointestinal diagnosis using endoscopic image classification
Double layer steganography technique using DNA sequences and images
Automatic spread factor and position definition for UAV gateway through computational intelligence approach to maximize signal-to-noise ratio in wooded environments
3D texture-based face recognition system using fine-tuned deep residual networks
A novel evidence combination method based on stochastic approach for link-structure analysis algorithm and Lance-Williams distance
A modular software framework for the design and implementation of ptychography algorithms
Instance attack: an explanation-based vulnerability analysis framework against DNNs for malware detection
Log-based software monitoring: a systematic mapping study
Estimation of simultaneous equation models by backpropagation method using stochastic gradient descent
SEF-UNet: advancing abdominal multi-organ segmentation with SEFormer and depthwise cascaded upsampling
Are suggestions from coupled file changes useful for perfective maintenance tasks?
Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms
A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks
Word embedding for social sciences: an interdisciplinary survey
AMPLIFY: attention-based mixup for performance improvement and label smoothing in transformer
Classification of breast cancer using a manta-ray foraging optimized transfer learning framework
Modeling emotional contagion in the COVID-19 pandemic: a complex network approach
Assessing English language sentences readability using machine learning models
Investigating the correspondence between driver head position and glance location
Predicting social media users' indirect aggression through pre-trained models
KECO: toward efficient task offloading in mobile edge computing with federated knowledge distillation
Social media network public opinion emotion classification method based on multi-feature fusion and multi-scale hybrid neural network
Performance evaluation of the inverse real-valued fast Fourier transform on field programmable gate array platforms using open computing language
NepAES: exploring the promise of automated essay scoring for Nepali essays
A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
An intelligent diabetes classification and perception framework based on ensemble and deep learning method
Outlier detection for keystroke biometric user authentication
Loitering behavior detection by spatiotemporal characteristics quantification based on the dynamic features of Automatic Identification System (AIS) messages
Application of collaborative filtering algorithm based on time decay function in music teaching recommendation model
Methods to achieve effective web-based learning management modules: MyGJU versus Moodle
Feature extraction and pattern recognition of gas pipeline flow noise signals in a strong noisy background
Mining software insights: uncovering the frequently occurring issues in low-rating software applications
YOLOv8-Coal: a coal-rock image recognition method based on improved YOLOv8
Unlocking the potential of LSTM for accurate salary prediction with MLE, Jeffreys prior, and advanced risk functions
Enabling personalized smart tourism with location-based social networks
Joint user grouping and power control using whale optimization algorithm for NOMA uplink systems
Design and analysis of management platform based on financial big data
Investigating smart city adoption from the citizen's insights: empirical evidence from the Jordan context
A systematic literature review on meta-heuristic based feature selection techniques for text classification
Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic
Using machine learning analysis to interpret the relationship between music emotion and lyric features
Optimal wideband digital fractional-order differentiators using gradient based optimizer
Charting new territories: fuzzy systems in English language teaching and learning
A planning model for dedicated tourist bus routes based on an improved genetic-greedy algorithm and machine learning
A systematic review of literature on credit card cyber fraud detection using machine and deep learning
Proportional feature pyramid network based on weight fusion for lane detection
A novel deep autoencoder based survival analysis approach for microarray dataset
A recurrent neural network for network-based intrusion detection
Ultrasound image segmentation based on Transformer and U-Net with joint loss
Prediction of perinatal depression among women in Pakistan using Hybrid RNN-LSTM model
SANgo: a storage infrastructure simulator with reinforcement learning support
Algorithm design of a combinatorial mathematical model for computer random signals
AI-SPedia: a novel ontology to evaluate the impact of research in the field of artificial intelligence
A theory on individual characteristics of successful coding challenge solvers
R-package LNIRT for joint modeling of response accuracy and times
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
A survey on surface reconstruction based on 3D Gaussian splatting
Laser-based machine vision and volume segmentation algorithm for equal weight portioning of poultry and fish
The effect of big data technologies usage on social competence
Improved temporal IoT device identification using robust statistical features
Parametric art creation platform design based on visual delivery and multimedia data fusion
Compi: a framework for portable and reproducible pipelines
Prediction of stock price direction using the LASSO-LSTM model combines technical indicators and financial sentiment analysis
Facial expression recognition based on active region of interest using deep learning and parallelism
A novel device-free Wi-Fi indoor localization using a convolutional neural network based on residual attention
Heterogeneous feature-aware Transformer-CNN coupling network for person re-identification
Exclusive use and evaluation of inheritance metrics viability in software fault prediction - an experimental study
A novel approach to texture recognition combining deep learning orthogonal convolution with regional input features
A systematic literature review on the usability of mobile applications for visually impaired users
Classification model for accuracy and intrusion detection using machine learning approach
Attention-enhanced gated recurrent unit for action recognition in tennis
Large-scale comparative visualisation of sets of multidimensional data
Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics
Deep learning-based recognition system for pashto handwritten text: benchmark on PHTI
YH-RTYO: an end-to-end object detection method for crop growth anomaly detection in UAV scenarios
Computational testing for automated preprocessing: a Matlab toolbox to enable large scale electroencephalography data processing
Enhancing book genre classification with BERT and InceptionV3: a deep learning approach for libraries
Linking emotions to behaviors through deep transfer learning
Multi-strategy synthetized equilibrium optimizer and application
A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN
Representation of negative numbers: point estimation tasks using multi-reference sonification mappings
DMPNet: densely connected multi-scale pyramid networks for crowd counting
Sliding window higher-order cumulants for detection of eye blink artifact from short segments of single-channel EEG
Remaining useful life prediction for turbofan engines using an attention-based data-driven deep-learning approach
Integrating hybrid transfer learning with attention-enhanced deep learning models to improve breast cancer diagnosis
Inverse kinematics for cooperative mobile manipulators based on self-adaptive differential evolution
Deep learning in finance assessing twitter sentiment impact and prediction on stocks
A multi-division convolutional neural network-based plant identification system
AI augmented edge and fog computing for Internet of Health Things (IoHT)
A double-decomposition based parallel exact algorithm for the feedback length minimization problem
Automated evaluation systems to enhance exam quality and reduce test anxiety
Meniscus injury prediction model based on metric learning
Enhancing fraud detection in the Ethereum blockchain using ensemble learning
An efficient transfer learning based cross model classification (TLBCM) technique for the prediction of breast cancer
PODE: privacy-enhanced distributed federated learning approach for origin-destination estimation
Computer vision-based algorithm for precise defect detection and classification in photovoltaic modules
LightFIG: simplifying and powering feature interactions via graph for recommendation
Video captioning with stacked attention and semantic hard pull
DBFU-Net: Double branch fusion U-Net with hard example weighting train strategy to segment retinal vessel
Predicting the final grade using a machine learning regression model: insights from fifty percent of total course grades in CS1 courses
Heterogeneous network propagation with forward similarity integration to enhance drug-target association prediction
Discrete two dimensional Fourier transform in polar coordinates part II: numerical computation and approximation of the continuous transform
KomoTrip: a multi-day travel itinerary recommendation method based on the discrete komodo mlipir algorithm
Native language identification from text using a fine-tuned GPT-2 model
Music audio emotion regression using the fusion of convolutional neural networks and bidirectional long short-term memory models
Hierarchical multi-label classification model for science and technology news based on heterogeneous graph semantic enhancement
RBI: a novel algorithm for regulatory-metabolic network model in designing the optimal mutant strain
Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems
An integrative decision-making framework to guide policies on regulating ChatGPT usage