674 citations
- High Energy Accelerator Research OrganizationJP65 papers
- The University of TokyoJP61 papers
- National Institute for Materials ScienceJP39 papers
- Tokyo Institute of TechnologyJP39 papers
- Kyoto UniversityJP38 papers
- Saitama UniversityJP38 papers
- Osaka City UniversityJP37 papers
- Tokyo University of ScienceJP37 papers
- Kanagawa UniversityJP35 papers
- University of UtahUS35 papers
- Hanyang UniversityKR33 papers
- Institute of Particle and Nuclear Studies33 papers
256 papers
Indexing Range Maximum-Sum Segment Queries with Offsets
Seungbum Jo, Dominik Köppl
Given an array of real numbers, the maximum segment sum (MSS) problem is to find a contiguous subarray that has the largest sum. While the MSS problem can be solved optimally w…
LZ78 Substring Compression in Compressed Space
Hiroki Shibata, Dominik Köppl
The Lempel--Ziv 78 (LZ78) factorization is a well-studied technique for data compression. It and its derivatives are used in compression formats such as "compress" or "gif". Althou…
Beyond 350 GHz: Single-channel 112 Gbps photonic wireless transmission at 560 GHz using soliton microcombs
Yu Tokizane, Hiroki Kishikawa, Takumi Kikuhara +11
Sixth-generation (6G) back-haul links will require terahertz (THz) carriers above 350 GHz to escape the congested 300 GHz band and support >100 Gbps data rates. Photonic THz transm…
The ASP-based Nurse Scheduling System at the University of Yamanashi Hospital
Hidetomo Nabeshima, Mutsunori Banbara, Torsten Schaub +1
We present the design principles of a nurse scheduling system built using Answer Set Programming (ASP) and successfully deployed at the University of Yamanashi Hospital. Nurse sche…
Revisiting the physical properties of (LaS)1+d(NbS2) misfit-layered compounds
Masanori Nagao, Dan Mouri, Yuki Maruyama +3
Electrical transport in polycrystalline and single-crystalline (LaS)1+d(NbS2) misfit-layered compounds was measured. Polycrystalline samples were synthesized using S raw materials…
Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation
Hisashi Johno, Yuki Johno, Akitomo Amakawa +9
Purpose: Retrieval-augmented generation (RAG) is a technology to enhance the functionality and reliability of large language models (LLMs) by retrieving relevant information from r…