A plugin for Pentaho's Kettle which allows users to make data forecasts based on Recurrent Neural Network models trained on Weka using the wekaDeeplearning4j package. Code based on the Weka Scoring plugin by Mark Hall. (⭐ 3)
End-to-end production of object tracklets from high resolution video in real-time and with high accuracy remains a challenging problem due to the cost of object detection on each frame. In this work we present Localization-based Tracking (LBT), an ex...
A calico cat is a domestic cat of any breed with a tricolor coat of black-based and red-based pigments with white. Outside of North American English,
Mar 27, 2025 · Sideline cheer includes recreational, youth, and team-based forms, while competitive cheer encompasses school-based and All-Star varieties. In this article, we’ll break down these types, …
Current network-based methods for detecting coordinated inauthentic behaviour on social media focus primarily on inferring links between accounts based on common "behavioural traces" [19], such as retweeting the same tweet or posting the same URL. As...
A Java console-based project developed in IntelliJ IDEA for paramedic trainees. It presents patient cases with symptoms, allowing users to diagnose conditions based on given clues. The program helps improve critical thinking and medical decision-making skills.…
6 days ago · The broader Ethereum ecosystem trend and cross-L2 interoperability standards may influence Taikoâs competitive positioning. If interoperability improves, the based rollup model could â¦
Variational data assimilation in ocean models depends on the ability to model general correlation operators in the presence of coastlines. Grid-point filters based on diffusion operators are widely used for this purpose, but come with a computational...
5 days ago · Forum Topics Posts Last post Tacoma Baseball Post Post your team news, tryouts, tournaments etc..
Jun 26, 2021 · Tacoma Baseball Club is looking for players for our 2021/2022 13u season that starts this Oct 2021. Our club offers year round indoor training with professional instructors at least two days a …
Jun 26, 2021 · Tacoma Baseball Club is looking for one player for our 13u 2021/2022 season. Our club offers year round indoor training with professional instructors at least two days a week starting …
Jun 26, 2021 · Tacoma Baseball Club is looking for players for our 2021/2022 13u season that starts this Oct 2021. Our club offers year round indoor training with professional instructors at least two days a …
Jun 26, 2021 · Tacoma Baseball Club is looking for three players for our 2021/2022 13u season that starts this Oct 2021. Our club offers year round indoor training with professional instructors at least …
based on the 2023 address-based population registration system data. "TÜİK Kurumsal". data.tuik.gov.tr. Retrieved 2024-08-26. 28 teşrinievvel 1927 umumî nüfus
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
Superconductivity has been discovered recently in nickel based 112 infinite thin films $R_{1-x}$A$_x$NiO$_2$ ($R$ = La, Nd, Pr and A = Sr, Ca). They are isostructural to the infinite-layer cuprate (Ca,Sr)CuO$_2$ and are supposed to have a formal Ni 3...
We present a survey on the developments related to Groebner bases, and show explicit examples in CoCoA. The CoCoA project dates back to 1987: its aim was to create a "mathematician"-friendly computational laboratory for studying Commutative Algebra,...
Reinforcement Learning (RL) has become a compelling way to strengthen the multi step reasoning ability of Large Language Models (LLMs). However, prevalent RL paradigms still lean on sparse outcome-based rewards and limited exploration, which often dr...
This paper analyzes execution instability in traditional cost-based database management systems (DBMS) and identifies a structural timing misalignment between optimization and execution stages that contributes to tail-latency amplification. Beyond es...
The main task of personalized recommendation is capturing users' interests based on their historical behaviors. Most of recent advances in recommender systems mainly focus on modeling users' preferences accurately using deep learning based approaches...