yusuke1997/dblp-id-title huggingface dataset:
An Agile Approach to Student Consulting Projects: Iteration and Communication to Improve Decision Making, Presentations, and Teamwork
Case - GAP: A Humanitarian Initiative of Ramakrishna Mission for Underprivileged Children
Case Article - Blending Statistics, Optimization, and Simulation in a Multiphase Case
Add or Multiply? A Tutorial on Ranking and Choosing with Multiple Criteria
Solving the U2 Brainteaser with Integer and Dynamic Programming
An Exercise for Teaching Transportation Problem Using Spatial Data
Case Article - Converting NFL Point Spreads into Probabilities: A Case Study for Teaching Business Analytics
Case Article - Coastal Shipping for Automobile Distribution
Case - Suncrest AgriBusiness Company: Exploiting the Flexibility of Backup Capacity
Case Article - Medication Waste Reduction in an In-Hospital Pharmacy: A Case That Bridges Problem Solving Between a Traditional Case and an Industry Project
Case - Agile Auto Sub Assemblies: Challenges in Managing Growth, Resource Productivity, and Demand Variability
Case - You Can't Take It with You
Introducing and Integrating Machine Learning in an Operations Research Curriculum: An Application-Driven Course
Schedule-Based Group Assignment Using Constraint Programming
Case - Take Me Out Of The Ball Game
The Appointment Scheduling Game
Case Article - Production Scheduling at Falcon Die Casting: A Comprehensive Example on the Application of Linear Programming and Its Extensions
Teaching Health-Care Operations in the MBA Program at Vanderbilt University Owen Graduate School of Management
Let's Put the Seasonality and Trend in Decomposition
Numerous Sigma Level Tables Need Correction: Commonly Used Tables Ignore Permitted "Left-Side" Defects
A Survey of Research in Field-Based Education: A Summary of Process, Best Practices, and Lessons Learned
Teaching Note - The MotoTech Manufacturing Company: Design of Experiments/ANOVA
Case - Analysis of Call Center Data at Patelco Credit Union
Advising Student-Driven Analytics Projects: A Summary of Experiences and Lessons Learned
Case - Inkjet Printer Pricing
A Student-Centered Approach to the Business School Management Science Course
Case - RED Loudspeakers
Designing and Assessing a Multidisciplinary Service-Learning Course in Supply Chain Management
Case - Production Scheduling at DeLand Crayon Company
Introduction to the ITED Special Section Cases Based on Real-World Projects from the INFORMS Journal on Applied Analytics
How Big Should My Dot Be? Using Spreadsheet Simulation to Evaluate Process Improvement Data Collection Strategies
A Teaching Supplement on Sensitivity Analysis for Linear Programming in Undergraduate Business Programs
Incorporating Unusual Fonts and Planned Mistakes in Study Materials to Increase Business Student Focus and Retention
Japanese IPs
Case - Medication Waste Reduction in an In-Hospital Pharmacy, Part C
Modeling Multi-Objective Multi-Stakeholder Decisions: A Case-Exercise Approach
Engaging Students in Optimization Modeling: Gaining Business Disruption Insights
Special Issue Dedicated to the Memory of Paul A. Jensen
Kaizen Events at the University of St. Thomas: Experiential Learning for Students
Teaching Critical Chain Project Management: The Academic Debate and Illustrative Examples
Puzzle - Knight Domination of 2-D Surfaces: A Spreadsheet Approach
Using AMPL for Teaching the TSP
Using Digital Video Technology to Reduce Communication Apprehension in Business Education
A Survey of Linear and Mixed-Integer Optimization Tutorials
Case Article - All of Britain Must Be Stoned! An Effective Introductory Probability Case
An Interactive Spreadsheet Model for Teaching Classification Using Logistic Regression
Case Article - Bidding on Priceline
STRATA: A Spreadsheet Tool for Multidimensional Analysis of Operations Research/Management Science Assessment Test Data
Case Article - Optimizing Food Donation Delivery for the Nonprofit Company Logica&Co
Case Article - Flight Delays at RegionEx
Active Game-Based Learning of Dynamics Modeling and Simulation in Biomedical Systems Engineering
Teaching Note - Fitting a Theoretical Model to a Real Queue
Case Article - Business Value in Integrating Predictive and Prescriptive Analytics Models
Center for Productivity Innovation's Student Project with Industry Program at the University of Tennessee, Department of Industrial and Systems Engineering
Immersive Learning with Virtual Field Visits: Spherical Video-Based Virtual Reality of Factory Environments
Teaching Nonzero Sum Games Using a Diagrammatic Determination of Equilibria
Case - U.S. Army Deployment to the Middle East
An Operations Research-Based Teaching Unit for Grade 11: The ROAR Experience, Part II
Case Article - Bayer New Drug Development Decision Making
From the Desk of the Editor-in-Chief
Teaching Note - Spreadsheet Modeling to Determine the Optimum Hotel Room Rate for a Short High-Demand Period
Case Article - Growing Pains: A Case Study for Large-Scale Vehicle Routing
Game - The Beer Transportation Game: How to Decarbonize Logistics by Moving Freight to Sustainable Transport Modes
Web-based Simulations for Teaching Queueing, Little's Law, and Inventory Management
Deal or No Deal: A Spreadsheet Game to Introduce Decision Making Under Uncertainty
Teaching Systems Thinking in Higher Education
Teaching Demand Management and Price Optimization in the MBA Program at the Carnegie Mellon University Tepper School of Business
Case - Route Planning at an Animal Husbandry Department
Introducing Prescriptive and Predictive Analytics to MBA Students with Microsoft Excel
Analytics, Pedagogy and the Pass the Pigs Game
The Effectiveness of Using a Web-Based Applet to Teach Concepts of Linear Programming: An Experiment in Active Learning
Using the Learning Assistant Model in an Undergraduate Business Analytics Course
Case Article - DeLand Crayon Company: An Application of the Traveling Salesman Problem to Production Scheduling with Sequence-Dependent Setup Times
Case Article - GreatDeal and NewChicken Merger: Designing an Omni-Channel Supply Chain
Case Article - Quantifying Operational Risk in Financial Institutions
Inventory Control at Spiegel Grove
Case - Optimizing Transportation and Equity in a District Zoning Problem for ORville Public Schools
Teaching Note - Learning Outcome Assessment Using an Integrative Assignment on Location Decision Making
Student Peer Evaluated Line Balancing Competition
Case Article - Three Mountain Communications: Considerations for Workplace Task Allocation
How Has the COVID-19 Pandemic Affected Students' Online Social Presence?
Case - Coastal Shipping for Automobile Distribution
Case - MotherLand Air: Using Experiential Learning to Teach Revenue Management Concepts
Teaching Integer Programming Starting From an Energy Supply Game
An Interactive Spreadsheet-Based Tool to Support Teaching Design of Experiments
Case - Revenue Management at the Hong Kong Grand: The Dine in Grandeur Dilemma
Case Article - Locating a Truck Terminal in Texas
Optimal Mix of Operations Management Contents for a Blended Course for Teaching Healthcare MBA Students
Academic Motivation in Introductory Business Analytics Courses: A Bayesian Approach
Dynamic Interactive Visualizations: Implications of Seeing, Doing, and Playing for Quantitative Analysis Pedagogy
Case Article - Process Control and Design of Experiments/ANOVA
Case - Vermillion OVA1 Test, Part B
Using Homemade, Short, Fictional Cases for Teaching the Theory of Constraints
Case Article - Miller Pain Treatment Center - Eastern Hospital Outpatient Center
Teaching Note - Revenue Management at Harrah's Entertainment, Inc
Integrating Spreadsheet Engineering in a Management Science Course: A Hierarchical Approach
Case - Workforce Scheduling for Airport Immigration on the Island of Tropical Paradise
Recommendations for an Undergraduate Curriculum at the Interface of Operations Research and Computer Science
Teaching Note - Teaching Project Simulation in Excel Using PERT-Beta Distributions
Case - Bidding on Priceline
Operations Management Curriculum Development Under Uncertain Situations: Lessons Learned From the Pandemic
A Comparative Study of Learning Styles and Motivational Factors in Traditional and Online Sections of a Business Course
Case Series - BlueSky Airlines: Single-Leg Revenue Management
Case Article - Forecasting Beer Demand at Anadolu Efes
Editorial - Introduction to the Special Issue: Student Projects with Industry
Case Article - The Fendt VarioTakt: Revolutionizing Mixed-Model Assembly Line Production
Puzzle - Solving Smartphone Puzzle Apps by Mathematical Programming
Case - Vermillion OVA1 Test, Part A
Case Article - Class Scheduling with Linear Programming
Game - Constructivist Exercises to Enhance Teaching of Probability and Statistics for Engineers
Five Pat Hands
Case Article - Assigning Regions to Sales Representatives at Pfizer Turkey
Case Article - Forward-Reserve Storage Design: A Case of Carriage Repair Workshop, Indian Railways
Spreadsheet Inventory Simulation and Optimization Models and Their Application in a National Pharmacy Chain
Case Article - Revenue Management at Harrah's Entertainment, Inc
SCOTS: The Searchable Collection of Time Series
Getting Beyond the First Result of Solving a Vehicle Routing Problem
Which Data Sets Are Preferred by University Students in Learning Analytics Dashboards? A Situated Learning Theory Perspective
Who's Cheating? Mining Patterns of Collusion from Text and Events in Online Exams
Game - A Carbon Emissions Game
Case Article - Swirltubs After-Market Product Inventory and Service Case
Case - Production and Distribution Optimization of Beach Equipment for the Marinero Company
Game - How to Share the Gains of Collaboration?
Teaching Note - Revenue Management at the Hong Kong Grand: The Dine in Grandeur Dilemma
A Tale of Two Linear Programming Formulations for Crashing Project Networks
Integer Poetry
Teaching Note - Active Learning Exercise: Newspaper Page Layout
Case Article - Optimal Movement Plan of Rice in the State of Andhra Pradesh
Case Article - School Timetabling Problem: A Scheduling Problem for High-School Institutions
Puzzle - IP Satisfied
Case Article - The Rise and Fall of Taxi Club Management in New York
Captivate Your Students' Minds: Developing Interactive Tutorials to Support the Teaching of Spreadsheet Modeling Skills
Case - Flight Delays at RegionEx
An Update to Converting Zip Code Data into Distances Using Microsoft Excel Geography Data Type, Maps, and Including Driving Distances
Comparison of an Introductory Level Undergraduate Statistics Course Taught with Traditional, Hybrid, and Online Delivery Methods
Game - The Online Wood Supply Game
Case - Optimizing Food Donation Delivery for Nonprofit Company Logica&Co
Puzzle - Chain-Reaction: A Puzzle to Demonstrate TSP Formulation
Case Article - Acusis: Medical Transcription Outsourcing
Teaching OR/MS with Cases: A Review and New Suggestions
Multi topological approximations of rough set theory
A granular hardware/software system: pervasive distributed dynamic sensor data mining system for effective commerce
Rough approximations of multi-fuzzy sets
Matrix approaches to rough sets through vector matroids over fields
DRSA and reductions in incomplete fuzzy information system
Associative classification using patterns from nested granules
Assessment of candidate information models for granular computing
Fuzzy rough data reduction in large datasets with building application software (FRDRS)
Optimum weights and biases for feed forward neural network by particle swarm optimisation
Refinement of Bayesian network structures upon new data
Association rule mining algorithm DB-growth based on relational database
Drawing reasonable conclusions from information under similarity modelled contexts
An efficient clustering-based retrieval framework for real crime scene footwear marks
Time series data analysis in multiple granularity levels
Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump
Network hierarchical algorithm based on granular computing
On relationships between revised rough fuzzy approximation operators and fuzzy topological spaces
RCBM: a rough content-based image quality assessment metric
Granular computing in privacy-preserving data mining
Common visual representation protocol, a language independent protocol for websites
Condition for covering-based upper approximation operators to be closure operators of matroids
Hyper-textual language model for web information retrieval
A steganography system and implementation utilising pseudo random number embedding and dynamic image production with graphs
The optimum genetic operators' selection method in genetic algorithm for the space allocation problem
A probabilistic approach to apriori algorithm
On rough multiset relations
Parallel non-linear dimension reduction algorithm on GPU
Granular problem solving and its applications in software engineering
A multi-class boosting method for learning from imbalanced data
The hierarchical structure analysis of intuitionistic fuzzy tolerance relations
Modelling steel heat treatment data using granular data compression and multiple granularity modelling
Elements of sketching with words
Intelligent technique and its application in fault diagnosis based on granular computing
Non-persistent stratified sampling based IQRA_IG for scalable reduct generation
The relationship between coverings and tolerance relations
Fuzzy functions
Generalisation of rough set for rule induction in incomplete system
Comparison between rough set approximations based on different topologies
Towards real-time performance of data privacy protection
ℓ-valued automata and associated ℓ-valued topologies
Effective web personalisation based on rough biclustering
Matroidal structure of covering-based rough sets through the upper approximation number
Condition for neighbourhoods induced by a covering to be equal to the covering itself
Endomorphic structures of approximation operators
Experiments on mining inconsistent data with bagging and the MLEM2 rule induction algorithm
Comparisons between near open sets and rough approximations
An improved statistical disclosure attack
Approximate equalities using topological space
Efficient photometric feature extraction in a hierarchical learning scheme for nodule detection
A new fuzzy k-modes clustering algorithm for categorical data
Adaptive and iterative least squares support vector regression based on quadratic Renyi entropy
A logical formulation of the granular data model
A non-linear multi-regression model based on the Choquet integral with a quadratic core
Algebraic approach to dependency of knowledge on rough set
The granular perspective as semantically enriched granulation hierarchy
Data mining in rough relational databases by attribute generalisation
A novel measure of knowledge granularity in rough sets
MBGrCA and its application in RST and fuzzy modelling
k-anonymised reducts
A trust evaluation model for web service with domain distinction
The theory and application of tolerance relations
Acquisition, representation of characteristics of prescription samples of Chinese medicine and experiments on knowledge mining
Reducing dendrogram instability using clustering based on indiscernibility and indiscernibility level
Automated real-time vehicle classifier development based on vehicle signature
Algorithms for discovering potentially interesting patterns
Tolerance granular computing towards incomplete information system
A lattice computing algorithm for granular reasoning based on trapezoidal fuzzy numbers
Management and discovery research of semantic web service based on concept lattice
Granular computing I: the concept of granulation and its formal model
Mining classification rules for gene expression data using enhanced quickreduct fuzzy-rough feature selection and ant colony optimisation
Selective sampling-based training schemes for core vector machines
Assessment of emergency response policy based on Markov process
Some topological properties of rough sets and their applications
A weighted bee colony optimisation hybrid with rough set reduct algorithm for feature selection in the medical domain
Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation
6G digital twin and CPS system promote the development of rural architectural planning
Stride towards aging problem in face recognition by applying hybrid local feature descriptors
Hunger games search with crisscross selection and positive greedy selection mechanism and its application in feature selection in gene datasets
An improved K-means clustering and optimal random forest for scheduling workloads in virtual servers
Kernel averaged gradient descent subtractive clustering for exemplar selection
Recurrent neural network with contextual attention for prognostics
Self-organized direction aware for regularized fuzzy neural networks
A multi-agent reinforcement learning based approach for intelligent traffic signal control
Predictive intelligence to the edge: impact on edge analytics
Self-* programming: run-time parallel control search for reflection box
An evolving classification cascade with self-learning
Multiple attribute group decision making based on p,q-quasirung orthopair Bonferroni mean operators and their applications
Solving the task assignment problem using Harmony Search algorithm
Immersive visualisation of 3-dimensional spiking neural networks
A novel approach using incremental oversampling for data stream mining
Microbe-drug association prediction using metapath aggregated node embeddings and self-supervised learning
Fuzzy PROMETHEE model for public transport mode choice analysis
Special issue: applications, results & future direction (EAIS 12): 2
Anomaly process detection using negative selection algorithm and classification techniques
Correction: AFLF: a defensive framework to defeat multi-faceted adversarial attacks via attention feature fusion
Study on population dynamics for triple-linked food chain using a simulation-based approach
Extended sequential adaptive fuzzy inference system for classification problems
Information dynamics based self-adaptive reservoir for delay temporal memory tasks
RVFLN-CDFPA: a random vector functional link neural network optimized using a chaotic differential flower pollination algorithm for day ahead Net Asset Value prediction
Empirical mode decomposition-based biometric identification using GRU and LSTM deep neural networks on ECG signals
A hybrid jumping swarm optimization based local search approach for minimum weighted dominating set problem
Enhancing water potability classification using a hybrid GRU with LSTM deep learning models based on relief algorithm and bayesian optimization
Spiking neural networks: a comprehensive review of diverse applications, research progress, challenges and future research directions
A dynamic split-and-merge approach for evolving cluster models
An effective undersampling method for biomedical named entity recognition using machine learning
Multistatic radar classification of armed vs unarmed personnel using neural networks
Adaptive complex event processing for harmful situation detection
Measuring the curse of population size over swarm intelligence based algorithms
An evolutionary algorithm-based approach for efficient design of Wiener spline non-linear adaptive filter and its experimental validation
Gathers: genetic algorithm-based transmission through heterogeneous energy efficient cluster-based routing for mobile sink in wireless sensor networks
PLANT Detect Net: a hybrid IoT and deep learning framework for secure plant disease detection and classification
A comprehensive evaluation of Marine predator chaotic algorithm for feature selection of COVID-19
Parallelization of filtered back-projection algorithm for computed tomography
ETC-Net: an efficient collaborative transformer and convolutional network combining edge constraints for medical image segmentation
Facial emotion recognition and music recommendation system using CNN-based deep learning techniques
A recommendation system based on mining human portfolio for museum navigation
Weighted FedCOM: a communication efficient approach to federated learning
Designing multi-layer quantum neural network controller for chaos control of rod-type plasma torch system using improved particle swarm optimization
Classification of breast mass in mammography using anisotropic diffusion filter by selecting and aggregating morphological and textural features
DBF-Net: a semi-supervised dual-task balanced fusion network for segmenting infected regions from lung CT images
An efficient convolutional global gated recurrent-based adaptive gazelle algorithm for enhanced disease detection and classification
Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments
Fuzzy-statistical prediction intervals from crisp regression models
Short-term electric load forecasting using empirical mode decomposition based optimized extreme learning machine
EDUC8 pathways: executing self-evolving and personalized intra-organizational educational processes
Environmental economic dispatch using improved artificial bee colony algorithm
EVE: a framework for event detection
Classification of mammography images based on cellular automata and Haralick parameters
Understanding and modeling the complex dynamics of the online social networks: a scalable conceptual approach
A self tuning regulator design for nonlinear time varying systems based on evolving linear models
Hybrid dynamic data-driven approach for drift-like fault detection in wind turbines
Comparative study of existing personalized approaches for identifying important gene markers and for risk estimation in Type2 Diabetes in Italian population
Obituary Edwin Lughofer (1972-2023)
Improving mass discrimination in mammogram-CAD system using texture information and super-resolution reconstruction
Multitask learning applied to evolving fuzzy-rule-based predictors
Reconstruction of catadioptric omnidirectional images using dual alternating total variation minimization
Colon disorder classification using altruistic genetic algorithm based fused deep feature selection method
Sleep apnea detection from ECG signal using deep CNN-based structures
Restoration of artwork using deep neural networks
Adaptive particle swarm optimization model for resource leveling
Neutrality in evolutionary algorithms... What do we know?
On ensemble techniques of weight-constrained neural networks
Cluster head selection using hesitant fuzzy and firefly algorithm in wireless sensor networks
Dynamic adaptation of scan rates for efficient and congestion-aware internet-wide scanning in IoT security
Information diffusion prediction using hybrid GCNN-LSTM and stock market based sentiment analysis in social media
Modified handoff algorithm for providing optimization in heterogeneous wireless networks
Feature point matching based on ABC-NCC algorithm
Fuzzy cognitive maps as a decision support tool for container transport logistics
A novel adaptive output feedback control for DC-DC boost converter using immersion and invariance observer
A method for the detection of the most suitable fuzzy implication for data applications
A random deep neural system for heartbeat classification
A one stream three-dimensional convolutional neural network for fire recognition based on spatio-temporal fire analysis
A combined grey multi criteria decision making model to evaluate public transportation systems
Sliding mode incremental learning algorithm for interval type-2 Takagi-Sugeno-Kang fuzzy neural networks
Energy efficient clustering protocol for WSNs based on bio-inspired ICHB algorithm and fuzzy logic system
Exploiting cepstral coefficients and CNN for efficient musical instrument classification
Application of deep reinforcement learning in various image processing tasks: a survey
DeepNet-WI: a deep-net model for offline Urdu writer identification
FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images
Particle swarm optimization algorithms for autonomous robots with deterministic leaders using space filling movements
Integrating sparse graph convolution and capsule networks for superior breast cancer diagnosis
Heuristic and metaheuristic solutions of pickup and delivery problem for self-driving taxi routing