Hoshizaki ice maxhine…
Can someone help me identify this model, this is the best image I have of the model tag! Any help appreciated! ...
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
In recent years, visual forgery has reached a level of sophistication that humans cannot identify fraud, which poses a significant threat to information security. A wide range of malicious applications have emerged, such as fake news, defamation or b...
RandomPoints package for Macaulay2
We present {\tt RandomPoints}, a package in \emph{Macaulay2} designed mainly to identify rational and geometric points in a variety over a finite field. We provide tools to estimate the dimension of a variety. We also present methods to obtain non-va...
Recognizing Apple Pay Fraud Report Scams - Apple Community
Sep 10, 2025 · Other Apple resources: Identify legitimate emails from the App Store or iTunes Store. Recognize and avoid social engineering schemes including phishing messages, phony support calls, …
Twitch Plays Pokemon, Machine Learns Twitch: Unsupervised Context-Aware Anomaly Detection…
With the increasing importance of online communities, discussion forums, and customer reviews, Internet "trolls" have proliferated thereby making it difficult for information seekers to find relevant and correct information. In this paper, we conside...
Design of Breathing-states Detector for m-Health Platform using Seismocardiographic Signal
In this work, a seismocardiogram (SCG) based breathing-state measuring method is proposed for m-health applications. The aim of the proposed framework is to assess the human respiratory system by identifying degree-of-breathings, such as breathlessne...
Pretty good measurement for bosonic Gaussian ensembles
The pretty good measurement is a fundamental analytical tool in quantum information theory, giving a method for inferring the classical label that identifies a quantum state chosen probabilistically from an ensemble. Identifying and constructing the...
A Taxonomy of Errors in English as she is spoke: Toward an AI-Based Method of Error Analys…
This study describes the development of an AI-assisted error analysis system designed to identify, categorize, and correct writing errors in English. Utilizing Large Language Models (LLMs) like Claude 3.5 Sonnet and DeepSeek R1, the system employs a...
Should Citations be Counted Separately from Each Originating Section
Articles are cited for different purposes and differentiating between reasons when counting citations may therefore give finer-grained citation count information. Although identifying and aggregating the individual reasons for each citation may be im...
Towards half-metallic interfaces: the Co$_2$CrAl/InP contacts
Although the interest on half-metallic Heusler alloys, susceptible to be used in spintronic applications, has considerably grown, their interfaces with semiconductors show very low spin-polarization. I identify mechanisms which can keep the high sp...
Crime against nature - Wikipedia
The crime against nature or unnatural act has historically been a legal term in English-speaking states identifying forms of sexual behavior not considered
Using Search Engine Technology to Improve Library Catalogs
This chapter outlines how search engine technology can be used in online public access library catalogs (OPACs) to help improve users experiences, to identify users intentions, and to indicate how it can be applied in the library context, along with...
The emergence and diversification of dog morphology
Dogs exhibit an exceptional range of morphological diversity as a result of their long-term association with humans. Attempts to identify when dog morphological variation began to expand have been constrained by the limited number of Pleistocene spec...
Epstein Library - United States Department of Justice
3 days ago · In audio files, redactions of victim names and other identifying information have been implemented through the use of a steady, solid tone. The House Committee on Oversight and …
Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method
Recent deep learning approaches in table detection achieved outstanding performance and proved to be effective in identifying document layouts. Currently, available table detection benchmarks have many limitations, including the lack of samples diver...
Tolerance and Prediction Intervals for Non-normal Models
A prediction interval covers a future observation from a random process in repeated sampling, and is typically constructed by identifying a pivotal quantity that is also an ancillary statistic. Analogously, a tolerance interval covers a population pe...
mjones029/WhiteTailedDeer_Dispersal
Public repository for code identifying and analyzing dispersal events from white tailed deer movement data (⭐ 0)
A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening
There is an unmet clinical need for developing novel methods to complement and replace the current radiation-emitting imaging-based methods for the detection of loose pedicle screws as a complication after spinal fusion surgery which fail to identify...
An Investigation Into Secondary School Students' Debugging Behaviour in Python
Background and context: Debugging is a common and often frustrating challenge for beginner programmers. Understanding students' debugging processes can help us identify the difficulties and misunderstandings they possess. However, we currently have l...
Evaluating Link-Based Techniques for Detecting Fake Pharmacy Websites
Fake online pharmacies have become increasingly pervasive, constituting over 90% of online pharmacy websites. There is a need for fake website detection techniques capable of identifying fake online pharmacy websites with a high degree of accuracy. I...