github.com/liuxu77/LargeST
liuxu77/LargeST
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023) (⭐ 271)
arxiv.org/abs/1711.08767v1
Microsoft Academic: A multidisciplinary comparison of citation counts with Scopu…
Microsoft Academic is a free citation index that allows large scale data collection. This combination makes it useful for scientometric research. Previous studies have found that its citation counts tend to be slightly larger than those of Scopus but...
github.com/vista-simulator/vista
vista-simulator/vista
Data-driven simulation for training and evaluating full-scale autonomous vehicles. (⭐ 409)
arxiv.org/abs/physics/0607152v1
The intersecting brane world
The scales of the Standard Model correspond to the positions of domain wall intersections on a straight line in a noncompact two-dimensional extra space. The domain walls partition an Anti-de Sitter spacetime. We show that domain wall intersections...
arxiv.org/abs/cs/0111018v1
Data Acquisition and Database Management System for Samsung Superconductor Test…
In order to fulfill the test requirement of KSTAR (Korea Superconducting Tokamak Advanced Research) superconducting magnet system, a large scale superconducting magnet and conductor test facility, SSTF (Samsung Superconductor Test Facility), has be...
arxiv.org/abs/2211.12732v3
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured N…
Many existing datasets for lidar place recognition are solely representative of structured urban environments, and have recently been saturated in performance by deep learning based approaches. Natural and unstructured environments present many addit...
arxiv.org/abs/2512.19982v1
WSD-MIL: Window Scale Decay Multiple Instance Learning for Whole Slide Image Cla…
In recent years, the integration of pre-trained foundational models with multiple instance learning (MIL) has improved diagnostic accuracy in computational pathology. However, existing MIL methods focus on optimizing feature extractors and aggregatio...
arxiv.org/abs/2105.04886v1
Hydrothermal liquefaction of sewage sludge; energy considerations and fate of mi…
The beneficial use of sewage sludge for valorization of carbon and nutrients is of increasing interest while micropollutants in sludge are of concern to the environment and human health. This study investigates the hydrothermal liquefaction (HTL) of...
arxiv.org/abs/2507.04434v1
Street design and driving behavior: evidence from a large-scale study in Milan,…
In recent years, cities have increasingly reduced speed limits from 50 km/h to 30 km/h to enhance road safety, reduce noise pollution, and promote sustainable modes of transportation. However, achieving compliance with these new limits remains a key...
arxiv.org/abs/2210.05144v1
Mixture of Attention Heads: Selecting Attention Heads Per Token
Mixture-of-Experts (MoE) networks have been proposed as an efficient way to scale up model capacity and implement conditional computing. However, the study of MoE components mostly focused on the feedforward layer in Transformer architecture. This pa...
arxiv.org/abs/2404.14700v4
FlashSpeech: Efficient Zero-Shot Speech Synthesis
Recent progress in large-scale zero-shot speech synthesis has been significantly advanced by language models and diffusion models. However, the generation process of both methods is slow and computationally intensive. Efficient speech synthesis using...
arxiv.org/abs/2601.19103v2
Glance and Focus Reinforcement for Pan-cancer Screening
Pan-cancer screening in large-scale CT scans remains challenging for existing AI methods, primarily due to the difficulty of localizing diverse types of tiny lesions in large CT volumes. The extreme foreground-background imbalance significantly hinde...
www.reddit.com/r/flashlight/comments/1ptr6ms/i_analyzed_147895_reddit_across_10543_reddit/
I analyzed 147,895 reddit across 10543 Reddit discussions in /r/flashlight ranke…
Built a tool to analyze Reddit sentiment at scale. Pulled 10,543 threads from r/flashlight, ran sentiment analysis on 147,895 comments. **How scoring works:** Fine-tuned RoBERTa model (trained on 38k...
arxiv.org/abs/1504.00806v1
Synergy of Volunteer Measurements and Volunteer Computing for Effective Data Col…
The paper concerns the hype idea of "Citizen Science" and the related paradigm shift: to go from the passive "volunteer computing" to other volunteer actions like "volunteer measurements" under guidance of scientists. They can be carried out by ordin...
arxiv.org/abs/2206.10435v2
Graphical Join: A New Physical Join Algorithm for RDBMSs
Join operations (especially n-way, many-to-many joins) are known to be time- and resource-consuming. At large scales, with respect to table and join-result sizes, current state of the art approaches (including both binary-join plans which use Nested-...
arxiv.org/abs/1709.10119v1
Distributed Join-the-Idle-Queue for Low Latency Cloud Services
Low latency is highly desirable for cloud services. To achieve low response time, stringent timing requirements are needed for task scheduling in a large-scale server farm spanning thousands of servers. In this paper, we conduct an in-depth analysis...
arxiv.org/abs/2103.08751v1
An N-body approach to modeling debris and ejecta off small bodies: Implementatio…
We introduce here our new approach to modeling particle cloud evolution off surface of small bodies (asteroids and comets), following the evolution of ejected particles requires dealing with various time and spatial scales, in an efficient, accurate...
arxiv.org/abs/1211.7037v1
Length sensing and control of a Michelson interferometer with Power Recycling an…
The techniques of power recycling and signal recycling have proven as key concepts to increase the sensitivity of large-scale gravitational wave detectors by independent resonant enhancement of light power and signal sidebands within the interferomet...
www.bing.com/ck/a?!&&p=0171bd6e71e33393adcadda51c62bc2c22cf80951fa1b2f04ee14a57a9e362d0JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=27f6b0e6-c965-61ad-12e4-a7f7c8c460ac&u=a1aHR0cHM6Ly9uZXdzLmxlbm92by5jb20vcHJlc3Nyb29tL3ByZXNzLXJlbGVhc2VzL3RydXN0ZWQtYWktcG93ZXJlZC1idXNpbmVzcy1jb21wdXRpbmctbW9kdWxhci1lbnRlcnByaXNlLW13Yy8&ntb=1
Lenovo Scales Trusted AI-Powered Business Computing Through ...
1 day ago · Thunderbolt™ 4 connectivity, fast charging, and business-grade security make it a reliable everyday workhorse. The ThinkBook portfolio is further extended through Magic Bay Tiko 7, an …
arxiv.org/abs/2208.12029v2
Singly-excited resonant open quantum system Tavis-Cummings model with quantum ci…
Tavis-Cummings (TC) cavity quantum electrodynamical effects, describing the interaction of $N$ atoms with an optical resonator, are at the core of atomic, optical and solid state physics. The full numerical simulation of TC dynamics scales exponentia...