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Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches
land water segmentation remote sensing deep learning sparse labels
2023/12/5
Precise coastal shoreline mapping is essential for monitoring changes in erosion rates, surface hydrology, and ecosystem structure and function. Monitoring water bodies in the Arctic National Wildlife...
Brown researchers develop new, automated, powerful diagnostic tool for drug detection(图)
药物检测 诊断工具 生物医学 抗抑郁药
2023/6/26
A comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
棉花 纤维品质 QTL 遗传基因组
2024/4/16
Underwater robot takes first known automated sample from ocean(图)
Underwater robot takes automated sample ocean
2020/1/19
A hybrid remotely operated vehicle developed by NSF-funded Woods Hole Oceanographic Institution researchers took the first known automated ocean sample performed by a robotic arm. Last ...
Automated Probe Repositioning for On-Die EM Measurements
side-channel analysis EM probe machine learning
2019/8/14
In side-channel analysis attacks, on-die localized EM monitoring enable high bandwidth measurements of only a relevant part of the Integrated Circuit (IC). This can lead to improved attacks compared t...
Seems Legit: Automated Analysis of Subtle Attacks on Protocols that Use Signatures
signature schemes symbolic models formal methods
2019/7/10
The standard definition of security for digital signatures---existential unforgeability---does not ensure certain properties that protocol designers might expect. For example, in many modern signature...
Related-Key Boomerang Attacks on GIFT with Automated Trail Search Including BCT Effect
Boomerang connectivity table GIFT Automatic search
2019/6/10
In Eurocrypt 2018, Cid et al. proposed a novel notion called the boomerang connectivity table, which formalised the switch property in the middle round of boomerang distinguishers in a unified approac...
Contingent payments on a public ledger: models and reductions for automated verification
fair exchange security models blockchain
2019/5/9
We study protocols that rely on a public ledger infrastructure, concentrating on protocols for zero-knowledge contingent payment, whose security properties combine diverse notions of fairness and priv...
AUTOMATED DETECTION AND LAYOUT REGULARIZATION OF SIMILAR FEATURES IN INDOOR POINT CLOUD
Layout regularization Pattern detection Point cloud analysis Indoor modeling
2019/3/4
Automated identification of high-level structures in unorganized point cloud of indoor spaces Indoor space is an important aspect of scene analysis that provides essential information for many applica...
A FULLY AUTOMATED INCREMENTAL PHOTOGRAMMETRIC PROCESSING DEDICATED FOR COLLABORATIVE REMOTE-COMPUTING WORKFLOW
Close-Range Photogrammetry Structure From Motion MicMac
2019/3/4
Image based-modeling practices in the field of Cultural Heritage studies are nowadays no longer seen as one-shot applications but as various and complex multimodal scenarios. Current use of SFM and ph...
Automated software protection for the masses against side-channel attacks
Side-channel attack hiding polymorphism
2018/12/19
We present an approach and a tool to answer the need for effective, generic and easily applicable protections against side-channel attacks. The protection mechanism is based on code polymorphism, so t...
SEMI-AUTOMATED CEMETERY MAPPING USING SMARTPHONES
Cemetery Graves Smartphone mapping Geo-tagging OCR
2019/2/27
Cemeteries are being considered as a symbol of love, religion, and culture across the globe. The maps of cemetery and grave are the interest of individuals and communities, who wants to identify the r...
Automated Penalization of Data Breaches using Crypto-augmented Smart Contracts
Data leakage Oblivious transfer Smart Contracts
2018/11/2
This work studies the problem of automatically penalizing intentional or unintentional data breach (APDB) by a receiver/custodian receiving confidential data from a sender. We solve this problem by au...
AUTOMATED BUILDING DETECTION USING RANSAC FROM CLASSIFIED LIDAR POINT CLOUD DATA
LiDAR RANSAC Building Detection Plane Detection Python LAS Point Cloud
2018/11/8
For the past 10 years, the Philippines has seen and experienced the growing force of different natural disasters and because of this the Philippine governement started an initiative to use LiDAR techn...
AUTOMATED BUILDING DETECTION IN DENSE POINT CLOUD AND UPDATE OF OPEN SOURCE DATA BASES
Dense matching, Building detection Classification Digital Terrain Model openstreetmap point cloud
2018/11/9
In this paper a method of detecting buildings in dense populated city areas using a three-dimensional model, produced by aerial images, is described. Further to the detection of the outline of the bui...