Some solutions for specific cases

Solutions

Some solutions for specific cases

Linear Optimization

Invention of intensity modulated radiation therapy (IMRT)
Maximize revenue
Price and Demand Optimization
Transportation Problem (Distribution Network)
Assignment Problem
Transshipment problem
Combinational Problem
Scenario Analysis

Integer Optimization

Scheduling
Knapsack problem

Spatial Development and Optimization

Location Optimization Using Weighted Parameters
- Street network isochrones
- Population Density (35%)
- Accessibility weighted (25%)
- Coverage gaps (15%)
- Constain areas - Competitor and own-brand (25% if absence)
Real World Facility Location Problem
- Location Set Covering Problem (LSCP)
- Maximal Coverage Location Problem (MCLP)
- P-Center Problem
- P-Median Problem
Asset Management and Optimizing Development
1. Land and Infrastructure Management
  - Slope Area
  - Soil Categories
  - Mapping ecosystems of mining sites
2. Land and Infrastructure Development
3. Lifetime Maintenance Assets
4. Forecast Management
5. Spatial-Temporal Development
6. Digital Twin
7. Weather and Environment Monitoring
8. Monitoring of Sustainable Development
Fleet Management
1. Movement
2. Location
3. Territory adherence
4. Geofencing
5. Incident detection and reporting
6. Destiny, Capacity, Speed, Time estimation
7. Safety management
8. Realtime report
9. Security and quality report and analysis
Visual Management
1. Worker Activity and Safety
Routing Management
- Scheduling
- Safety
Risk Management
1. Disaster Management
2. Realtime Feedback
3. Impact Area
Sustainability Management
1. Recovery
2. Revegetation
Spatial hypotesis and autocorrelation Analysis
Distribution and Density
- Heatmap Distribution
- H3 Spatial Index
- Topological Measures
Regionalization and Coverage Area
- Covering Radius Method
- Voronoi Diagram
- Clustering and Segmentation
- Isochrone
- Location Revenue Prediction
- Colopriming Analysis (visual diagnostic)
  - Hexagon grid
Spatial Regression Prediction
Species Distribution Modeling (SDMs)
- Unsupervised Learning
- Supervised Learning
- Maxent Model
Spatial Interpolation
- Nearest ND Interpolator
- Inverse Distance Weighted (IDW) interpolation
- Kriging-based interpolation
Geocoding
Analyze Distance and Attractiveness
- Huff Model
Change Predition at Spatial and Temporal
- Cellular Automata-Markov Model

Propensity / Churn / CLTV

Buy Till You Die (BTYD) Models
Behavioral & Sequence-Based Models
- RFM + ML classifier
- RFM scoring
Survival Analysis
- Time-to-Event Models
- Hazard Models
Machine Learning
Deep Learning
Hybrid & Business-Oriented Models
- Rule-Based + ML Hybrid
- Customer Scoring Systems
Markov Chain Models
Causal & Uplift Models
Cross-sales Models
- Next-product-to-buy algorithms

Recommendation System

Market Basket analysis
- APRIORI
- Eclat
- FP-Growth
Classic algorithms
- Baseline
- NormalPredictor
- SVD and SVD++ algorithm
- Non-negative Matrix Factorization
- Stochastic Gradient Descent (SGD)
- Weighted Alternating Least Squares (WALS)
- SlopeOne algorithm
- WARP (Weighted Approximate-Rank Pairwise)
- BPR (Bayesian Personalized Ranking)
Machine Learning
- Classification models
- Logistic regression
- Logistic matrix factorization
- SVM
- Tree based model
- Ensemble model
- LightGBM / XGBoost
- Clustering techniques
- K-means clustering
- Co-clustering
Deep Learning
- Neural Collaborative Filtering
- Wide & Deep
- Two-Tower Models (User tower + Item tower)
- Transformer-based session models
Graph-Recommendation Engine model
- Graph-based recommender
Learning-to-Rank Models
- LambdaMART
- RankNet
- XGBoost ranking
- LightGBM ranking

Demand-Supply (Supply Chain)

Optimizing Supply and Demand Matchmaking (Weight Scoring)
Optimization Problem
Route-based combinatorial optimization problems
- TSP
- VSP
  - Deep Reinforcement Learning
    - Constrained sequential decision-making task and implementing policy-gradient methods (REINFORCE) for heterogeneous fleets with time window constraints.

Inventory and Warehouse

ABC analysis

Segmentation

Clustering
- Centroid-Based
  - K-means, K-means++, MK-means
  - K-modes, K-medians, K-prototypes
  - Clara, Clarans
  - CentNN
  - Mean Shift
- Graph-Based
  - K-spanning Tree
  - Shared Nearest Neighbor
  - Betweenness Centrality Based
  - Highly Connected Components
  - Maximal CLique
  - Spectral Co-clustering
  - Spectral Bi-clustering
  - Hierarchical Clustering
  - Spectral Clustering
  - Agglomerative Clustering
- Kernel-Based
  - SOM and minisom
  - Neural Gas
  - Fuzzy C-means
  - Probabilistic C-Means
- Grid-Based
  - Wavecluster
  - Sting
  - CLIQUE
  - VBSCAN
- Density-Based
  - DBSCAN
  - AD, FD, LD, OD, PD - DBSCAN
  - OPTICS
  - Denclue
- Connectivity-Based
  - Birch
  - UPGMA
  - AGNES
  - DIANA
  - Chameleon
  - BICO
  - CURE
  - Affinity Propagation
- Distribution-Based
  - Gaussian Mixture
  - EM
  - DMM
  - DBCLASD
  - Hidden Markov Models (HMM)
- Fractal-Based
  - FractStream
  - FC
RFM (recency, frequency, monetary)
Hyperpersonalized marketing campaigns

Marketing budget allocation

Media Mix Modeling

Marketing strategic

Online learning - Thompson Sampling

Market Research Analysis

Crawling POI data
Market sharing
Market expansion and competition

Anomaly and Fraud Detection

Statistical Tests and Visualization
Proximity and Clustering
- KNN
Time Series
- STL Decomposition
Machine Learning
- Isolation Forest

Behavioral Modeling

Survival Analysis
- Applications: engagement retention, churn prediction, time-to-first-action
- Time-to-event modeling
- Kaplan-Meier estimators
- Cox proportional hazards
Time Series
- Applications: temporal engagement patterns, lagged effects, sequence prediction
- ARIMA
- autocorrelation (ACF/PACF)
- Granger causality
- state-space models
Causal Inference
- Applications: measure impact of interventions, A/B test analysis, policy evaluation
- Difference-in-differences
- propensity score matching
- instrumental variables
- regression discontinuity
Network Analysis
- Applications: information spread, influencer identification, network effects
- Graph theory
- diffusion models
- centrality measures
- community detection
Sequential/Longitudinal Modeling
- Applications: user journey modeling, state transitions, behavioral sequences
- Markov chains
- Hidden Markov Models
- panel data methods
- mixed effects models

Ifluential Features

Feature Importance
- Machine Learning + Interpretable model
Statistic Test

Scoring

Linear Regression
Beta weight

Credit Scoring

Scoring type A
- Rule based
- Scorecard
- Machine learning
- Deep Learning
Scoring type B
- Bayesian Approximation + custome scoring

Data collection

Scraping data

Prediction (binary or multiclass)

Logistic Regression

Time Series Prediction

Distance Measurement

Spatial Distance Metrics
1. Manhattan Distance
2. Euclidean Distance
3. Chebyshev Distance
4. Minkowski Distance
5. Mahalanobis Distance
6. Minimum-Maximum Coordinate Distance
7. Centroid Distance
Vector Similarity Metrics
1. Cosine Similarity
2. Jaccard Similarity
3. Sorensen-Dice Coefficient
4. Levenshtein Distance (Edit Distance)
5. Hamming Distance

Computer Vision

Image Classification
Object Detection
- Object Counting
- Object Tracking
Semantic Segmentation / Pixel Classification
- Object Measurement
Instance Segmentation / Object Segmentation
Panoptic Segmentation
Change Detection
Image Translation
Object Tracker
Image Captioning
Pose Estimation
Face Detection
- Facial Recognition
- Emotion Detection
Anomaly Detection
Optical Character Recognition (OCR)

GeoAI

Vegetation and Natural Environment
- Object Detection - Counting
- Segmentation - cover area
- Distribution and Density
  - Forest Canopy Density - AVI + SSI + BI = Vegetation Density
- Forcasting Area
- Sustainability
- Indexs
- Estimating flashflood likelihood
- Species Distribution Modeling (SDMs)
- Change Predition at Spatial and Temporal
  - Deforestation monitoring
  - Vegetation phenology variation study
  - Coastal and Ecosystem monitoring
  - Predicting Vegetation Dynamics
Urban, Bussiness and Building
- Object Detection - Counting
- Segmentation - cover area
- Distribution and Density
- Accessibility
- Spatial-Temporal Development
- Encroachment - Change Detection
- Zoning and Regulatory Mapping
- Property Value Mapping (Predict House Price)
  - House photos (interior/exterior visuals)
  - Street view images (neighborhood context)
  - Human mobility patterns (visitor foot traffic and travel times)
  - Socioeconomic indicators (census level demographics)
  - Spatial location and proximity to POIs
- POI Prediction for Business Opportunity Mapping
- Service Area Optimization
- Geotagged social media activity
- Indexs
  - Demographic and Economic Index
  - Market Expansion Index
  - Market Sharing Index
  - Livability Index
  - Hyperscale Infrastructure Intelligence Index
    - Electricity resources accessibility
      - High-voltage transmission adjacency
      - Substation and generation proximity
    - Land-use and protected areas
      - Urban or Human Settlement
      - Water area
      - Forest area
    - Terrain and topography
    - Climate exposure and cooling risk
- Spatial Regression Prediction
- Monitoring of Sustainable Development
- Species Distribution Modeling (SDMs)
- Analyze Distance and Attractiveness
- Change Detection and Predition at Spatial and Temporal
  - Urban Sprawl
    - ML / DL + Cellular Automata
  - Post-disaster event (damage assessment)
Mining
- Detection and Segmentation mining pits and tailing dams
- Interactive querying data
  - LLM
- Mineral Detection
  - Lineament analysis
  - Automated spectral mapping system using ASTER data on Google Earth Engine (GEE)
  - Machine Learning
  - Lithological and Structural Mapping
  - Iron Oxide and Clay Mapping
- Alteration Zone Mapping
  - Mixture-Tuned Matched Filtering (MTMF)
  - Spectral Angle Mapper (SAM)
- Geochemical Anomaly Detection
Improvements
- Automated cloud and shadow mask segmentation
- Measurement distance to specific object or area - create grids

LLM and Gen AI

Telecomunication
- Voice identification for prioritization
- Chatbot for Q&A
- Autonomous assistants
- Predict network issues
- Cloud management
- Network Anamolies Resolution
  - Reduce manual effort
  - Speed up fault detection
  - Improve network reliability
  - Real-time recommendations
  - Address problems before they escalate
  - Ensuring a more stable and efficient network
- Network Optimization
- Capacity Management
- Real-time Issue Detection
Marketing
- Targeted offers and recommendations (hyper-Personalization)
- Generates personalized messages
- Automated Content Creation
RAG
- Knowledge Management
- Customer Support (FAQs, User Manuals and troubleshooting guides)
- Research Assistance
- Content Curation
- Summarisation
- Language Translation