TS-072175 — The Need Modern industrial and energy systems are increasingly complex, making timely fault detection and discrimination critical for safety, reliability, and cost control. Existing fault diagnosis methods often struggle with transient states, require extensive historical data, or lack interpretabil…

TS-071915 — An ultra‑efficient probit‑space ensemble expansion approach triples the size of weather‑forecast ensembles by producing hundreds of realistic “virtual” members from existing runs using minimal compute time and expert statistical knowledge.

TS-071386 — The Need The search for sustainable, high-performance battery materials is hindered by reliance on finite metal-based resources and slow, trial-and-error development cycles. Organic electrode materials (OEMs), composed of earth-abundant elements, offer a more sustainable path but present challenges …

TS-071385 — The Need Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories. Public databases often fail to identify all affected versions of software, leaving organizations exposed. With vulne…

TS-071267 — The Need Modeling solvent effects on catalytic surfaces is critical for designing industrial processes like biomass conversion, fuel synthesis, and electrocatalysis. Traditional multiscale simulations combining density functional theory (DFT) and molecular dynamics (MD) offer accuracy but are comp…

TS-070971 — The Need Modern gas turbines and compressors rely on bladed disks, which are highly sensitive to mistuning caused by manufacturing tolerances, wear, or damage. Existing modeling tools are fragmented, complex, and often limited to specific mistuning types. Industry will greatly benefit from a unified…

TS-070954 — The Need Intersections are among the most dangerous areas on U.S. roadways, accounting for approximately 25% of traffic fatalities and nearly half of all injuries annually. Vulnerable Road Users (VRUs), including pedestrians and cyclists, face increasing risk due to complex traffic dynamics and limi…

TS-070331 — Accelerate discovery and streamline workflows with a next-generation platform for high-throughput nanopore data extraction.

TS-070310 — An integrated soil health assessment and management platform that empowers growers to boost yields and sustainability through data-driven decisions.

TS-069654 — Technology bundle containing T2025-148 and T2024-150.

TS-069523 — The Need In many scientific and industrial fields, there is a critical need for interpretable and accurate models that can be derived from complex datasets. Traditional machine learning methods often produce black-box models that lack transparency and interpretability, making it difficult to unders…

TS-068440 — Accurate measurement of physical attributes, such as dimensions, alignments, and surface features, is essential for ensuring quality and consistency across industries. Traditional measurement methods, often reliant on manual tools and human oversight, are time-intensive, prone to errors, and lac…

TS-067792 — A software tool for optimizing the manufacturing process for metal alloys.

TS-067434 — The Need Spatial aggregation is crucial in numerous industries where data from low-level spatial units, such as census blocks, must be grouped into larger, meaningful regions. Traditional approaches often struggle with the computational complexity of these tasks and tend to focus on finding a singl…

TS-066058 — By adopting our AI-driven solution, engineering teams can achieve more in less time, push the boundaries of innovation, and significantly cut down costs, all while maintaining or increasing the reliability and accuracy of their structural and material analysis. This is not just an evolution in FEM technology—it's a revolution.

TS-065446 — The Need: In today's fast-paced commercial landscape, there's an increasing demand for rapid processing of complex data sets. Traditional computing methods often struggle to keep pace with real-time requirements, leading to inefficiencies and missed opportunities. Addressing this need for sw…

TS-065412 — The Need: In contemporary cybersecurity landscapes, the conventional methods of employing Physically Unclonable Functions (PUFs) necessitate maintaining a secure challenge-response database. However, this practice poses significant security risks as access to this database could lead to the comprom…

TS-064578 — This software solution revolutionizes the process of tolerance stack analysis in mechanical assemblies. It automatically detects and extracts tolerance stacks as the foundational step for precise tolerance analysis and schema generation.

TS-063911 — Porosity formation during the solidification of aluminum-based alloys, induced by hydrogen gas and alloy shrinkage, presents a significant challenge for industries relying on high-performance solidification products such as castings, welds, and additively manufactured components. This issue advers…

TS-063308 — In today’s world, privacy and safety are paramount. Being followed by other vehicles during driving can be unnerving and potentially dangerous, leading to privacy leakage and even significant traffic accidents. There is a pressing need for a solution that can detect abnormal following vehicl…

TS-063239 — The Ohio State University has developed a vulnerability analysis technique for connected and autonomous vehicles that assesses the vulnerability and attackability of the automotive controllers to determine the security of the system. The Need Automated vehicle technologies improve safety, assis…

TS-063238 — A novel regularization technique applicable for medical imaging applications that leverages conditional generative adversarial networks (cGANs) to generate reconstructed images in significantly shorter timeframes. The Need Several techniques are used for image reconstruction in the medical aren…

TS-063154 — Worldwide, 686,000 new head and neck (H&N) cancers are diagnosed yearly, and 375,000 people will die annually. Human papillomavirus (HPV) is responsible for an increasing subset of H&N malignancies called oropharyngeal squamous cell carcinomas (OPSCC). Although it has a better prognosis than…

TS-063038 — The Need In the era of machine learning, high-stakes decisions are increasingly being made by black box models, leading to concerns about accountability and fairness. These models can exhibit inherent biases, raising the need for a system that ensures accountability and fairness in decision-making …

TS-063027 — The Need Smart contracts have revolutionized the way transactions are conducted, but their unique nature makes them susceptible to exploitation. Despite extensive efforts in vulnerability identification, exploitable vulnerabilities persist, resulting in substantial financial losses. To mitigate thi…

TS-063024 — The Need In today's data-driven world, efficient caching of dynamic content is crucial for delivering timely and responsive services. Conventional caching methods struggle to adapt to frequent updates in the back-end database, leading to suboptimal system costs and decreased user satisfaction. …

TS-063007 — The Need In disaster-stricken areas, timely and accurate reconnaissance is paramount for effective response and recovery efforts. Traditional methods of assessing damage to critical infrastructure, such as power distribution poles, often involve time-consuming manual inspections, leading to delays …

TS-062335 — The Need: In the field of ophthalmology and vision care, there is a critical need for accurate and comprehensive measurements of visual function over the entire visual field. Conditions such as glaucoma, age-related macular degeneration (AMD), diabetes, stroke, pituitary disease, brain tumors, and n…

TS-062332 — The Need: In the fast-paced and ever-evolving landscape of graduate education, universities and academic institutions face mounting challenges in efficiently managing their graduate students' academic journeys. With diverse departmental requirements, it becomes crucial to have a centralized solu…

TS-057129 — Algorithm for extracting 3D models, indexing them using a value-insensitive normalization algorithm, and comparing the model indexes to detect cloned 3D models.

TS-054005 — This technology is a Vehicle-in-Virtual Environment (VVE) method for testing and evaluating Autonomous Vehicles (AV). The VVE approach is a safe, reliable, repetitive, and scalable method of testing AVs, decreasing the risks and costs of testing AVs on public roads.

TS-051417 — Traditional regression analysis has been a staple in predicting cause-effect relationships. Counltess industries use these methods to predict rare events, from economic issues to cancer research, causality is often a desired result. Given the vast amount of potential variables it sometimes becomes…

TS-050856 — A better way for systems to organize, file, or index documents or content based on actual or anticipated information needed in the form of a user query or natural language question.

TS-049903 — A scalable, adaptive computational platform (software) that performs accurate, predictive computer simulations in less time, with the end goal of supporting a decision-making agency

TS-047605 — An ensemble kamlan filter (EnKF) state observer algorithm and process monitoring method for more quickly and accurately estimating the internal temperature gradient of Powder Bed Fusion parts for enhanced process monitoring and control.

TS-042856 — A Framework and Automatization process designed to determine the functionality of Embedded Digital Devices.

TS-042266 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.

TS-041844 — Artificial intelligence software for making risk-informed decisions to prevent and mitigate emergencies.

TS-040341 — A software solution designed to optimize cyber security decision making and reduce maintenance costs.

TS-040259 — A matchmaking app designed for university research personnel, trainees, equipment, and funding opportunities.

TS-039992 — Transportation Asset Management Program offers a unique bridge condition index (BCI) and management solution for large bridge inventories to be used as a reliable metric and asset management framework

TS-039781 — Realistic immunohistochemical stained tissue section databases for training, certification, and machine standards.

TS-039164 — A new tool that can quantify the sensory maps of the human brain. The tool can be used to quantify plasticity and pathology in the sensory areas of the human brain that are associated with normal and abnormal development, aging, and diseases in sensory systems. The first application of the tool, on retinotopic maps of the visual cortex, has generated excellent results.

TS-039058 — DG­WAVE is a simple and efficient (finite element­-based) wave modeling software package for simulating wind-driven waves in marine environments. Model input, execution and visualization of output, which includes time series of significant wave heights, are handled through an easy-­to-­use graphical user interface (GUI).

TS-039030 — The Conforming to Interface Structured Adaptive Mesh Refinement (CISAMR) automated modeling technique creates high quality periodic meshes for modeling materials with complex microstructures.

TS-038429 — An automated image analysis system for the recognition and quantification of skin disease

TS-038074 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.

TS-037930 — Data-Driven Inspection, Alerts, Maintenance, Observable Network Decision Control System with Cyber Action Taker to Address Less Inspected Hosts Including Cell Phones

TS-037839 — A way to use audio systems to send information to select locations and people, without the public hearing it.

TS-036544 — An algorithm that processes aerial images to provide farmers with data on crop emergence needed for improving crop management decisions.