yusuke1997/dblp-id-title huggingface dataset:
Engineering the application of machine learning in an IDS based on IoT traffic flow
Alert correlation for intelligent threat detection and response
Stock movement prediction model based on gated orthogonal recurrent units
A parameter optimizer based on genetic algorithm for the simulation of carbonate facies
Ontology-based BIM-AMS integration in European Highways
The fluctuation analysis of public opinion energy: Modeling social group opinion base on the event of social networks
Investigating the role of data preprocessing, hyperparameters tuning, and type of machine learning algorithm in the improvement of drowsy EEG signal modeling
Can large language models autonomously generate unique and profound insights in fundamental analysis?
Intelligent attribution modeling for enhanced digital marketing performance
MalHyStack: A hybrid stacked ensemble learning framework with feature engineering schemes for obfuscated malware analysis
An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers
Online clustering with interpretable drift adaptation to mixed features
Mask usage recognition using vision transformer with transfer learning and data augmentation
UAV-based Internet of Vehicles: A systematic literature review
Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants
Ultrasound detection of subquadricipital recess distension
An efficient facial expression recognition system with appearance-based fused descriptors
Two-stage system using item features for next-item recommendation
Emotion recognition and forecasting from wearable data via cluster-guided attention with cross-species pretraining
New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
Design of an online education student learning status evaluation model based on dual-improved neural networks
Enhancing smart grid load forecasting: An attention-based deep learning model integrated with federated learning and XAI for security and interpretability
A review of neuro-symbolic AI integrating reasoning and learning for advanced cognitive systems
Coffee plant disease identification with an attentive multi-image segmentation framework (MISF) with CycleGAN
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods
Application of deep reinforcement learning in asset liability management
Predictive analysis of cardiovascular disease using gradient boosting based learning and recursive feature elimination technique
Special issue on technology assisted review systems
Wireless federated learning for PR identification and analysis based on generalized information
Detecting the overfilled status of domestic and commercial bins using computer vision
Emulating fundamental analysts: Analytical stage-based multi-agent framework enhanced with expert guidance and Preference-Anchored Likelihood Adjustment
FireBoost: A new bio-inspired approach for feature selection based on firefly algorithm and optimized XGBoost
Context-enhanced concept disambiguation in Wikification
A hybrid Dragonfly algorithm for the vehicle routing problem with stochastic demands
On optimal and varying decompositions for transradial contraction force prediction in upper-limb prosthesis
Predicting systemic risk in financial systems using Deep Graph Learning
A reinforcement Learning approach to resource allocation in genomic selection
Efficient deep learning models based on tension techniques for sign language recognition
Nature-Inspired DBN based Optimization Techniques for Image De-noising
Hidden-layer configurations in reinforcement learning models for stock portfolio optimization
A novel technique for detecting electricity theft in secure smart grids using CNN and XG-boost
Process mining embeddings: Learning vector representations for Petri nets
A survey on traffic flow prediction and classification
A higher order portfolio optimization model incorporating information entropy
Enhancing Blockchain-based Ride-Sharing Services using IPFS
Maximizing the spread of information through content optimization
Real-time cyber/physical interplay in scheduling for peak load optimisation in Cyber-Physical Energy Systems
Integrated framework of fragment-based method and generative model for lead drug molecules discovery
Disruptive situation detection on public transport through speech emotion recognition
AI-based model for Prediction of Power consumption in smart grid-smart way towards smart city using blockchain technology
Musipainter: A music-conditioned generative architecture for artistic image synthesis
AI-driven ensemble three machine learning to enhance digital marketing strategies in the food delivery business
Enhancing car damage repair cost prediction: Integrating ontology reasoning with regression models
Machine learning alloying design of biodegradable zinc alloy for bone implants using XGBoost and Bayesian optimization
Detection of glaucoma using three-stage training with EfficientNet
Image data privacy protection technology based on reversible information hiding and robust secret sharing
DE/current-to-better/1: A new mutation operator to keep population diversity
CNN-LSTM and post-processing for EMG-based hand gesture recognition
Re-constructing the interbank links using machine learning techniques. An application to the Greek interbank market
An intelligent recommendation strategy for integrated online courses in vocational education based on short-term preferences
AL-ViT: Label-efficient Robusta coffee-bean defect detection in Thailand using active learning vision transformers
Sentiment analysis: From rule-based lexicons to large language models
Leveraging social networks as an optimization approach
Explainable artificial intelligence for investigating the effect of lifestyle factors on obesity
Role-based lateral movement detection with unsupervised learning
Enhancement of the Direct Torque Control by using Artificial Neuron Network for a Doubly Fed Induction Motor
A comprehensive approach to detecting chemical adulteration in fruits using computer vision, deep learning, and chemical sensors
Paranasal sinus analysis based on deep learning and machine learning techniques: A comprehensive survey
AI safety practices and public perception: Historical analysis, survey insights, and a weighted scoring framework
Advancing Forex prediction through multimodal text-driven model and attention mechanisms
Enhancing token boundary detection in disfluent speech
Investigating the optimisation of real-world and synthetic object detection training datasets through the consideration of environmental and simulation factors
Intelligent fuzzy decision-making system of afforestation in new cities: A case study of the New Administrative Capital, Egypt
Safe deployment of a reinforcement learning robot using self stabilization
Mixed inference machine reading comprehension method based on symbolic logic
An adjustable machine learning gradient boosting-based controller for PV applications
ChainSure: Agent free insurance system using blockchain for healthcare 4.0
Click prediction boosting via Bayesian hyperparameter optimization-based ensemble learning pipelines
Exploring the application of teaching evaluation models incorporating association rules and weighted naive Bayesian algorithms
GIRCS: An effective evolutionary scheme to solve SBM-RCPSP scheduling problems for industrial production planning
Neural network-based liquidity risk prediction in Indian private banks
MaCOnto: A robust maize crop ontology based on soils, fertilizers and irrigation knowledge
A Predictive Model for Weld Properties in AA-7075-FSW: A Heterogeneous AMIS-Ensemble Machine Learning Approach
Artificial intelligence-based masked face detection: A survey
Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques
Enhanced radiology report: Leveraging image enhancement and multi-label transfer learning with attention-based text generation
Improved multi-classification of breast cancer histopathological images using handcrafted features and deep neural network (dense layer)
Deep learning for network intrusion: A hierarchical approach to reduce false alarms
A new BRB model for technical analysis of the stock market
Computationally Efficient Deep Federated Learning with Optimized Feature Selection for IoT Botnet Attack Detection
Butterfly detection and classification techniques: A review
Activity recognition using a combination of high gain observer and deep learning computer vision algorithms
Investigation of deep learning for whitefly identification in coconut tree leaves
Chi 2 -MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease
The application of HMM algorithm based music note feature recognition teaching in universities
EfficientCovNet: A CNN-based approach to detect various pulmonary diseases including COVID-19 using modified EfficientNet
Chinese corporate fraud risk assessment with machine learning
Improved risk minimization algorithms for technology-assisted review
An efficient approach for multi-label classification based on Advanced Kernel-Based Learning System
A hierarchical heterogeneous ant colony optimization based fingerprint recognition system
DL-AMDet: Deep learning-based malware detector for android
Indoor staircase detection for supporting security systems in autonomous smart wheelchairs based on deep analysis of the Co-occurrence Matrix and Binary Classification
An artificial neural network optimized by grey wolf optimizer for prediction of hourly wind speed in Tamil Nadu, India
Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm
DeepInvesting: Stock market predictions with a sequence-oriented BiLSTM stacked model - A dataset case study of AMZN
Using fused Contourlet transform and neural features to spot COVID19 infections in CT scan images
Explaining Semantics and Extension Membership in Abstract Argumentation
Semantic SLAM: A comprehensive survey of methods and applications
EHR-protect: A steganographic framework based on data-transformation to protect electronic health records
Optimizing the distribution of tasks in Internet of Things using edge processing-based reinforcement learning
CfCV: Towards algorithmic debiasing in machine learning experiment
FocusAugMix: A data augmentation method for enhancing Acute Lymphoblastic Leukemia classification
Noise estimation based on optimal smoothing and minimum controlled through recursive averaging for speech enhancement
Blind steganalysis-driven secure transmission validation using feature-based classification in JPEG images
Neural Koopman forecasting for critical transitions in infrastructure networks
A new hybrid particle swarm optimizationalgorithm for optimal tasks scheduling in distributed computing system
An improved DNN with FFCM method for multimodal brain tumor segmentation
Application analysis of heuristic algorithms integrating dynamic programming in RNA secondary structure prediction
A novel meta-heuristic approach for optimal RPP using series compensated FACTS controller
A novel improved horned lizard optimization algorithm to identify optimal parameters of adaptive fuzzy logic MPPT for performance boosting of PEM fuel cell
Cardiac disease detection using cuckoo search enabled deep belief network
Neural network for archaeological glyph detection
Digital twins: Recent advances and future directions in engineering fields
Evaluation model and algorithm optimization of intelligent manufacturing system on the basis of BP neural network
ARIANNA: A novel deep learning-based system for fin contours analysis in individual recognition of dolphins
Anomaly classification in industrial Internet of things: A review
An Improved Fuzzy Deep Learning (IFDL) model for managing uncertainty in classification of pap-smear cell images
Gradient-enhanced evolutionary multi-objective optimization (GEEMOO): Balancing relevance, learning outcomes, and diversity in educational recommendation systems
Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans
Cyber security of robots: A comprehensive survey
MultiResEdge: A deep learning-based edge detection approach
Multimodal deep learning for predicting the choice of cut parameters in the milling process
A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound imaging
Cancelable random masking with deep learning for secure and interpretable finger vein authentication
Automatic damaged vehicle estimator using enhanced deep learning algorithm
Fusion of residual network and t-SNE-CS for 2D visualization of open set recognition
Optimization of inventory management through computer vision and machine learning technologies
Wind turbine fault detection and identification using a two-tier machine learning framework
Air quality monitoring using statistical learning models for sustainable environment
Identification and classification of road traffic incidents in Panama City through the analysis of a social media stream and machine learning
A multi-stage machine learning approach for stock price prediction: Engineered and derivative indices
Application of LSTM and GRU neural networks to improve peristaltic pump dosing accuracy
Modified online sequential extreme learning machine algorithm using model predictive control approach
Neural network based autonomous control of a speech synthesis system
Online estimation of unknown aerodynamic forces acting on AWE systems
Vision-based housing price estimation using interior, exterior & satellite images
A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM
Agile neural expert system for managing basic education
Review of ambiguity problem in text summarization using hybrid ACA and SLR
OWAE-Net: COVID-19 detection from ECG images using deep learning and optimized weighted average ensemble technique
Enhanced set-based particle swarm optimization for portfolio management in a walk-forward paradigm
Multimodal fusion: A study on speech-text emotion recognition with the integration of deep learning
DSG-GAN: Multi-turn text-to-image synthesis via dual semantic-stream guidance with global and local linguistics
End-to-end semantically aware tactile generation
Machine learning methods for sign language recognition: A critical review and analysis
LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery
Unsupervised domain adaptation with self-training for weed segmentation
Interpretable event diagnosis in water distribution networks
A stacked ensemble model for automatic stroke prediction using only raw electrocardiogram
Ordered iterative colour channel selection enhances segmentation of brain slice image neurons of the sham fetal sheep model
New Harris Hawks algorithms for the Close-Enough Traveling Salesman Problem
Shrinkage estimation with reinforcement learning of large variance matrices for portfolio selection
A learning system-based soft multiple linear regression model
A Novel Method for Estimating Parameters of Battery Electric Vehicles
Federated learning using quality-based aggregation method for brain tumour segmentation on multimodality medical images
Learning heuristics for arc routing problems
Camera-based interactive wall display using hand gesture recognition
Order planning for networked make-to-order enterprises - a case study
Exploring data conditions to improve business performance
A graphical method for valuing switching options
The irregular nesting problem: a new approach for nofit polygon calculation
A hybrid simulated annealing and column generation approach for capacitated multicommodity network design
A web-based methodology for product design evaluation and optimisation
A zero-one model for project portfolio selection and scheduling
Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process
Integrating approaches to revitalise a church's mission strategy
Ranking products through online reviews: A novel data-driven method based on interval type-2 fuzzy sets and sentiment analysis
Scheduling ambulance crews for maximum coverage
Enabling better management of patients: discrete event simulation combined with the STAR approach
The application of a vehicle routing model to a waste-collection problem: two case studies
Book Selection
Stochastic analysis of ordered median problems
Time to default in credit scoring using survival analysis: a benchmark study
Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
Fast and effective algorithms for the liquid crystal display module (LCM) scheduling problem with sequence-dependent setup time
Optimising container storage processes at multimodal terminals
CAMP: A context-aware cricket players performance metric
The dynamics of brand equity: a hedonic regression approach to the laser printer market
A novel generalised extreme value gradient boosting decision tree for the class imbalanced problem in credit scoring
The anatomy of complex societal problems and its implications for OR
An extension of Sharpe's single-index model: portfolio selection with expert betas
Generating feasible strategies in nuclear emergencies - a constraint satisfaction problem
The next 50 years of OR
Ranking intervals for two-stage production systems
Metrics for bullwhip effect analysis
The multi-item newsvendor problem with a budget constraint and fixed ordering costs
To charge or not to charge?
The effect of risk aversion on a supply chain with postponed pricing
Solving the vehicle routing problem with lunch break arising in the furniture delivery industry
Cynefin: uncertainty, small worlds and scenarios Open
Application-driven sequential designs for simulation experiments: Kriging metamodelling
A multi-fidelity modelling approach for airline disruption management using simulation
Type α and type γ consensus for multi-stage emergency group decision making based on mining consensus sequences
Forecasting retail fuel demand in Chinese gasoline stations: a structural (double) damped trend approach
Development of improved adaptive approaches to electricity demand forecasting
Assessing hyper-heuristic performance
Performance criteria for plastic card fraud detection tools
The practice of UK OR practitioners
Sample average approximation for a two-echelon inventory system with service-level constraints
A novel framework for selecting sustainable healthcare waste treatment technologies under Z-number environment
Explaining choice quality with decision style, cognitive reflection and decision environment
An algorithm to locate perinatal facilities in the municipality of Rio de Janeiro
Determining an economic production quantity under a zero defects policy
An exploration into the influence of psychological profiles upon group decision making
PSMs are dead; long live PSMs
A comparison of several enumerative algorithms for Sudoku
Optimal product line design using Tabu Search
Multi-level scheduling decisions in a class of FMS using simulation based metamodels
How to treat strict preference information in multicriteria decision analysis
User-friendly statistical concepts for process monitoring
Solving a multi-objective simulation model using a hybrid response surface method and lexicographical goal programming approach - a case study on integrated circuit ink-marking machines
Downward migration credit risk problem: a non-homogeneous backward semi-Markov reliability approach
Using revenue management to improve pricing and capacity management in programme management
Systems Analysis and Modeling: A Macro-to-Micro Approach with Multidisciplinary Applications
Risk sharing in the supplier relations for the Taiwanese automotive industry
Platform retailing with slotting allowance and revenue sharing
Two-stage cross-efficiency evaluation based on prospect theory
Journey Making group workshops as a research tool
Set covering location models with stochastic critical distances
An advanced tabu search for solving the mixed payload airlift loading problem
Group model building: problem structuring, policy simulation and decision support
Quadratic programming applications in finance using Excel
Multi-objective optimisation of risk and business strategy in real-world supply networks in the presence of uncertainty
A prioritisation index for blight intervention strategies in residential real estate
Determining a subsidy rate for Taiwan's recycling glass industry: an application of bi-level programming
Scheduling and control, performance measures and discrete event simulation
Linear programming based meta-heuristics for the weighted maximal planar graph
Single criterion vs. multi-criteria optimal stopping methods for portfolio management
Exact simulation of gamma-driven Ornstein-Uhlenbeck processes with finite and infinite activity jumps
Modelling and solving environments for mathematical programming (MP): a status review and new directions
A hybrid algorithm for task sequencing problems with iteration in product development
Reflections on 40 years in the management field: A Parthian shot (friendly)
The boundary-to-boundary p -dispersion configuration problem with oval objects
Determining a sequence of targets in DEA
Multi-objective optimization of the auto-carrier loading and routing problem in an automotive logistics company
Community operational research issues and public art practice: the art director system
'More dangerous than an unanswered question is an unquestioned answer': a contribution to the Ulrich debate
Optimal heterogeneous search and rescue asset location modeling for expected spatiotemporal demands using historic event data
Single criterion for rating confidence interval procedures: a generalization to stochastic stopping rules
Some evidence on forecasting time-series with support vector machines
Renewing the critique of the theory of knowledge-constitutive interests: a reply to Martin Reynolds
A new approach of forecasting intermittent demand for spare parts inventories in the process industries
Subsidizing strategies in a sustainable supply chain
Optimal production run length for deteriorating production system with a two-state continuous-time Markovian processes under allowable shortages
Proactive expediting policies for recoverable manufacturing
Media selection in the presence of flexible factors and imprecise data
Predicting customer attrition using binge trading patterns: Implications for the financial services industry
A comprehensive study on the interplay between dataset characteristics and oversampling methods
Fuzzy measures of supplier evaluation under lean concepts
Editorial - January 1998
Batching and resource allocation decisions on an m-machine proportionate flowshop
Response to Mingers and O'Brien
Design of the drop-off-pick-up zones in buildings: the case of private transportation at the female university of Riyadh
Deterministic economic order quantity models with partial backlogging when demand and cost are fluctuating with time
n -person 'soft' games
An integer programming approach to short-term production scheduling in a tobacco plant
Disruption management of the vehicle routing problem with vehicle breakdown
An integrated material handling system for a truck assembly plant
Novel approach to deal with demand volatility on fleet assignment models
A basis for modelling the costs of supplier selection: the economic tender quantity
Response to Mingers - an overarching philosophy for OR/MS - Sed Quis Custodet Custodies? [But who is to guard the guards themselves] (Juvenal, c. AD 60-130)
Covariate balancing for high-dimensional samples in controlled experiments
A parallel improved ant colony optimization for multi-depot vehicle routing problem
Iterative algorithms for the curfew planning problem
Profiles in Operations Research - Pioneers and Innovators
Heuristical labour scheduling to optimize airport passenger flows
Solving resource-constrained project scheduling problem with evolutionary programming