Data Processing Applications TRIZ Cases

Signaling pathway activity scores reveal immune cell functional status, enabling faster and more reliable immunotherapy response monitoring.

Multiple voice recognizers are selected from content and chat context, then filtered with a weight matrix to improve chat message accuracy.

Mounted 3D cameras or lidar compare original, actual, and target terrain to calculate excavation volume and support accurate billing during operation.

A two-tier HES adapter flow unifies AMI events inside SAP CIS, cutting MDM sync complexity while improving billing and real-time analytics.

Automated tray transfer through vertical towers and treatment stations improves sterile crop handling and controlled-environment growth.

An intermediary wireless EMS interface formats monitor data into incident-based objects for faster selective retrieval and real-time sharing.

Unique authentication data and authenticity checks help verify avatars in network services while reducing misuse and photo-data exposure.

Maps learner progress to prerequisite concept mastery through a dynamic visual knowledge structure that exposes gaps and guides advancement.

Predefined POI-specific regions help parse natural language housing queries and return nearby dwellings more accurately and efficiently.

Combines virtual flight-path noise maps with mobile audio recordings to validate complaints and improve airport noise impact tracking.

Bulk funding and on-demand retail account creation reduce repeated transfers and computational load in frequent gaming transactions.

Social media content is used as a game-linked reward to personalize player loyalty programs and boost engagement without separate reward systems.

Automated anomaly warnings and targeted device checks improve refueling station inspection coverage while cutting manual time and labor.

A cryptographically immutable event ledger verifies contract amendments, preserves traceable history, and reduces third-party negotiation delays.

Bulk-loaded retail account funds and reused user data reduce transfer load after refund events while keeping gaming transactions available.

Faces in a group photo are matched to stored contacts so an electronic group can be created quickly without manual entry errors.

Sensor fusion tracks livestock movement, head posture, and feeding behavior to flag health deviations early in confined herds.

A focal group overlay adds trusted, relevant recommendations to web browsing by filtering social network information through user associations.

Automatically detects problematic code libraries, recommends substitutes, and updates source code to address vulnerabilities and compliance issues.

Tracks gaming device activity through ticket vouchers to refund transfer fees, reducing cash handling risk and fee friction.

Area-based weighting and hierarchical processing help smart city platforms prioritize urgent emergency data and guide patrol frequency by risk.

Cross-platform learning data is analyzed to detect unproductive behaviors and deliver real-time personalized recommendations during study sessions.

Guided prompts, adaptive selection, and automated content pools help AI learning systems personalize content in real time as user needs evolve.

Integrated control and information processing let industrial machines join electronic meetings while simplifying management and data exchange.

Allocates SAF and default fuel across aircraft missions to minimize fleetwide nvPM impact under limited fuel availability constraints.

Communication-history scoring ranks content by user relationship strength in virtual space, reducing overload and surfacing relevant information.

Share and rank calculations by technical classification reveal a specific applicant's patent portfolio focus and relative standing.

Biometric recognition, cloud records, and automated locks replace paper logs to verify facility entry and reduce pathogen intrusion.

Automated knowledge morph generation turns compliance requirements into engineering project artifacts, cutting manual coding while preserving standards.

Real-time LCA inside 3D-CAD lets designers recalculate product and component impact before completion, cutting rework and design time.

Contralateral wearable sensors turn autonomic signals into objective pain scores, improving diagnosis, treatment validation, and home monitoring.

Audio signals and incident data are classified to match users with relevant legal representatives faster and with higher relevance.

Switching between private use and share ride or share vehicle modes helps raise vehicle utilization without giving up convenient access.

Timed credential-based locking and retrieval sensing help secure medication, prevent misuse, and support dosage schedule compliance.

Deep learning predicts current-year cropland layers and management zones from satellite imagery to verify regenerative tillage practices sooner.

Recent aircraft location data is used to estimate current airport taxi times, helping crews manage fuel, engine start, and de-icing.

Real-time transport data is translated, rendered into visual and voice content, and streamed with low latency across platforms for live traveler updates.

Infrared and visible-light imaging tracks chips under varied lighting, improving betting data accuracy and casino table monitoring.

Real-time zoning and environmental feedback with 3D building envelope views helps teams adjust land development plans faster.

Centralized pari-mutuel pools let players rank past-event outcomes and enable efficient odds and prize calculation based on prediction accuracy.

A unified canvas with event and action registration lets users build interactive 2D and 3D content together with less authoring complexity.

A masked tapering plan uses personalized dosing and pill splitting to reduce placebo and nocebo effects during sedative withdrawal.

Encoder-decoder reconstruction of time-series population data improves detection of sudden events and high concentrations for disaster response.

OCR, AI, and blockchain automate real estate data extraction, fraud checks, and compliance updates to speed secure transactions.

Multi-source machine learning combines property, tenant, and market data to predict occupancy and revenue more accurately than intuition.

User surveys after in-person meetings feed offline experience data back into matching, improving recommendation reliability and profile accuracy.

Role-based virtual desktops and filtered access enable secure prison education without sacrificing learner engagement or progress tracking.

Hierarchical memory, multimodal learning, and parallel AI oversight let digital doubles adapt in real time while preserving privacy and response integrity.

Hierarchical map channels link multiple social post layers into a clearer mobile view, reducing clutter while preserving location context.

Vibration, light, and sound cues correct a user's direction in smoke and darkness while helping rescuers prioritize people by position and status.