这是我们最新精选的有关开源情报（OSINT）的全球出版物和专利，涉及许多科学在线期刊，分类集中于开源情报、数据挖掘、社交媒体分析、网络搜索、地理定位、元数据分析、威胁情报和开放数据。.
Enhanced geolocation cache service
Patent published on the 2026-10-01 in US under Ref US20260304068 by ZSCALER INC [US] (Selvarajan Gopi [us], Chhabra Pankaj [ca], Tellakula Sreeni [us])
Abstract: Systems and methods for geolocating an Access Point (AP) based on network identifiers and external data sources includes caching the AP s location by associating it with one or more network identifiers, deriving an egress IP address of the AP from an external tool or service, and generating a unique key based on the egress IP address. The unique key can be used to geolocate the AP. Such systems and methods can be incorporated with location based services.[...]
Our summary: This service geolocates Access Points using network identifiers and external data. It caches the AP s location and derives an egress IP address from external sources. A unique key generated from the egress IP enables accurate geolocation.
Geolocation, Caching, Access Point, Network Identifiers
Patent
Threat assessment using artificial intelligence
Patent published on the 2026-10-01 in US under Ref US20260303642 by RAKUTEN SYMPHONY INC [JP] (Gupta Ashutosh [in])
Abstract: [0000] A system is configured to obtain domain-specific data from a remote source and input the domain-specific data to a first generative artificial intelligence (AI) model. Processed data is received from the first generative AI model in response to the threat intelligence data. A second generative AI model is trained to make threat assessments according to the domain-specific data and the processed data. The domain-specific data may be threat intelligence data that lists at least one of hardw[...]
Our summary: A system collects domain-specific threat intelligence data from remote sources. It utilizes a first generative AI model to process this data and a second model to assess threats. The data includes information on hardware, software, tactics, techniques, and vulnerabilities.
threat assessment, artificial intelligence, generative AI, domain-specific data
Patent
A natural language processing based multipurpose summarizer system for online video transcripts and textual contents
Patent published on the 2026-09-30 in ZA under Ref ZA202600634 by VISHWAKARMA INST OF TECHNOLOGY [IN] (Poyam Nirbhay Pundlik [in], Pawar Pradhumna [in], Singh Pragathi [in], Shinde Shalakha Sandeep [in], Mahadik Dhruti Vinay [in], Patil Kushagra Chandrashekhar [in], Rajput Vaishali [in], Joshi Swati [in])
Abstract: The present invention is related to a natural language processing based multipurpose summarizer system for online video transcripts and textual contents. The invention discloses a multipurpose summarizer that leverages transformer-based Natural Language Processing (NLP) models to generate concise and coherent summaries of both YouTube video transcripts and online textual content such as news articles and blogs. The system incorporates a data acquisition module for retrieving transcripts via APIs[...]
Our summary: The invention is a multipurpose summarizer system for online video transcripts and textual contents. It utilizes transformer-based NLP models to generate concise summaries and incorporates modules for data acquisition, preprocessing, and summarization. The system evaluates performance using various metrics and delivers summarized content in real time through a web interface.
Natural Language Processing, Summarization, Transformer Models, Web Scraping
Patent
A systematic review of supervised machine learning for CO2 storage performance prediction in deep saline sandstone formations
Published on 2026-09-26 by @OXFORD
Abstract: AbstractCarbon capture and storage (CCS) is a key mitigation strategy for industrial CO2 emissions, with deep saline sandstone formations widely investigated because of their large storage capacity and multiple trapping mechanisms. Captured CO2 streams often contain impurities such as N2, CH4, H2S, SO2, NOx, Ar, and CO, which can affect density, viscosity, interfacial tension, geochemical reactions, injectivity, plume migration, and trapping behavior. This systematic literature review followed a[...]
Our summary: This systematic review analyzes the use of supervised machine learning for predicting CO2 storage performance in deep saline sandstone formations. It highlights the impact of impurities on various physical properties and identifies common machine learning models used in the field. The review emphasizes the need for improved datasets and methodologies to enhance the applicability of these models in real-world scenarios.
machine learning, CO2 storage, sandstone formations, systematic review
Publication
Overlay network modification
Patent published on the 2026-09-24 in US under Ref US20260291855 by CLOUDBRINK INC [US] (Ponnuswamy Subbu [us])
Abstract: Techniques for modifying a data transmission overlay network are disclosed. Specifically, systems and methods for modifying the data transmission overlay network over a physical communications network are disclosed. The overlay network comprises multiple forwarding nodes configured to transmit data between a source and a destination. The method includes identifying a forwarding node within a predetermined attribute range of the source based on the source s geolocation and associated access polic[...]
Our summary: Techniques for modifying an overlay network for data transmission are described. The method identifies forwarding nodes based on geolocation and access policies. If no suitable node exists, a new one is provisioned within the required range.
Overlay network, data transmission, forwarding nodes, geolocation
Patent
Method for reconstructing lane lines, corresponding system and vehicle
Patent published on the 2026-09-23 in EP under Ref EP4810917 by STELLANTIS EUROPE SPA [IT] (Borrello Giulio [it], Acernese Antonio [it], Girardi Delia [it], Lorusso Luca [it], Trotta Antonino [it])
Abstract: [0001] Method for reconstructing lane lines (814a, 814b) of a lane along which a vehicle is moving without computer vision apparatus, wherein the vehicle includes a control system comprising: - a geolocation module configured to locate the geographic position of the vehicle, and - a control unit configured to receive output data from said geolocation module, and to access geographic indications (810; 811) of road segments and lanes into which the road segments are divided; said method comprises [...]
Our summary: The method reconstructs lane lines for a vehicle without using computer vision. It utilizes a geolocation module to determine the vehicle s position. The control system accesses geographic data to identify the vehicle s location relative to road segments.
lane reconstruction, geolocation module, control system, vehicle navigation
Patent
Unified business operations and management suite
Patent published on the 2026-09-10 in US under Ref US20260270516 by LEISER WAYNE R [US] (Leiser Wayne R [us])
Abstract: A system and method for managing business operations through a unified software platform. It features a global customer behavior list with multi-factor searches, automated alerts, and decision-making tools. A collaborative marketing success sharing module collects and distributes anonymized performance data for lead generation and marketing campaigns. The multi-payment invoicing system includes a feature called “Autoset”, an automatic payment scheduler that configures payment plans based on [...]
Our summary: The system manages business operations through a unified software platform. It features automated alerts, decision-making tools, and a collaborative marketing module for performance data sharing. The platform enhances operational efficiency by centralizing data, automating tasks, and optimizing resources.
business operations, software platform, automated alerts, collaborative marketing
Patent
integrating MT-InSAR with physics-based and data-driven models for scalable structural health monitoring
Published on 2026-09-02 by @OXFORD
Abstract: AbstractMulti-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) has matured into a credible, non-contact technique for monitoring bridge deformation from individual structures to regional portfolios. The main challenge for routine engineering use is no longer measuring millimetre-scale line-of-sight (LOS) displacement, but interpreting those measurements into defensible statements about structural condition. This review addresses that interpretation problem by synthesising the physica[...]
Our summary: This review synthesizes the fundamentals of MT-InSAR for bridge deformation monitoring and addresses the interpretation of measurements for structural condition assessment. It proposes a hybrid framework combining physics-based and data-driven methods to enhance the scalability and interpretability of monitoring efforts. The synthesis identifies current strengths, limitations, and future research needs in the field.
MT-InSAR, structural health monitoring, physics-based models, data-driven models
Publication
