Most of our work has resulted in scholarly publications. On this page you can review our publications to get an idea about our work.
astroautomata/PySR: v2.7.0
October, 2026 • Software
Miles Cranmer, MilesCranmerBot, Dhananjay Ashok, tttc3, William Booth-Clibbornet al.
2.7.0 (2026-10-07)
Dependencies
update backend to v2.7.0 (#1411) (baa4bb4)
Documentation
point coding agents to llms.txt from docstring (#1408) (4e31441)
The influence of subsurface heterogeneity and fluid source location in volcano hydromechanical unrest models; application to Deception Island, Antarctica
Supplementary materials for "The influence of subsurface heterogeneity and fluid source location in volcano hydromechanical unrest models; application to Deception Island, Antarctica", including COMSO…
Supplementary materials for "The influence of subsurface heterogeneity and fluid source location in volcano hydromechanical unrest models; application to Deception Island, Antarctica", including COMSOL Multiphysics model base files (.mph) for set up types with and without a ring fault. Submitted to Journal of Volcanology and Geothermal Research.
The Institute of Chartered Accountants of Bangladesh (ICAB)
The Bangladesh Accountant, a quarterly journal of ICAB, contains articles by ICAB members, members from other accountancy bodies, academics, and business leaders from home and abroad.
PORTIA: A Large-Scale Port Acoustic Dataset with AISGrounded Annotations for AI-Based Vessel Monitoring
October, 2026 • Journal article • Scientific Data (Sci Data)
Anaida Fernández García, Alberto Belmonte Hernández, Jose Miguel Higon, RAFAEL COMPANY, FRANCISCO JOSE PEREZ CARRASCOet al.
Monitoring underwater anthropogenic noise in busy commercial ports is critical for marine spatial planning, yet the development of AI-based tools is often limited by the scarcity of large-scale, annot…
Monitoring underwater anthropogenic noise in busy commercial ports is critical for marine spatial planning, yet the development of AI-based tools is often limited by the scarcity of large-scale, annotated acoustic datasets from realistic high-traffic environments. We present PORTIA, a passive acoustic dataset collected over a 26-day campaign in the Port of Valencia, Spain. It comprises 260,932 three-second audio windows paired with synchronized Automatic Identification System (AIS) metadata. To facilitate direct reuse, we provide three task-oriented benchmarks: a Binary Detection subset (36,148 samples), a Single-Vessel Classification subset (39,125 samples), and a Multi-Label Monitoring subset (34,996 samples) explicitly designed to handle concurrent acoustic scenes and source proximity. All benchmarks were constructed using Maritime Mobile Service Identity (MMSI)-aware splitting to prevent identity leakage across partitions and utilized stratified sampling to preserve representative vessel-class distributions while remaining manageable for research. PORTIA serves as a realistic benchmark for vessel detection, typological classification, and proximity estimation in dense Mediterranean port soundscapes.
Research Output on Big Data: A Scientometric Analysis Using SCOPUS 2001 – 2025
October, 2026 • Journal article • Journal of Advances in Library and information Science
Valampuri Moorthy, S, Devika S S
The present paper presents a scientometric analysis of research output on Big Data using Scopus 2001-2025. The data collected from the Scopus Database during 2001-2025. The search keywords “Big …
The present paper presents a scientometric analysis of research output on Big Data using Scopus 2001-2025. The data collected from the Scopus Database during 2001-2025. The search keywords “Big Data” were found in 1,15,4142 records in the study. The study focuses on the year's publications, research output, RGR, DT, document types, top authors, source titles, keywords, subject areas, source types, affiliations, languages, funding sponsors, and country-wise distribution. The data analysis uses Microsoft Excel for calculations, percentages, tables, and bar diagrams, as well as VOSviewer. The Big Data analysis's year-to-year growth trend is beginning to slow after a period of accelerating growth. The Relative Growth Rate is starting years are decreasing in order from year 2001 to 2008, it has no growth. In the coming years, the increase in 2025 is 18.66 per cent. The doubling time growth in 2003 is 0.88 and the increase in the year is 3.36.
Big Data; Scopus Database; Relative Growth Rate; Doubling Time and Scientometric Study
Zeta potential data for the publication "Influence of deposition time and aging on the wettability, zeta potential and adhesive properties of thin polydopamine films"
5 YOSHGACHA BOLALARDA RESPIRATOR INFEKSIYALARNING RIVOJLANISHI VA OG'IR KECHISHIGA TA'SIR QILUVCHI XAVF OMILLARI
October, 2026 • Dataset
Murtazayeva Zilola Faxriddinovna, Worldly Knowledge Publishing Centre
5 yoshgacha bo‘lgan bolalarda respirator infeksiyalarning klinik kechishi bir xil emas. Ayrim bolalarda kasallik yengil rinofaringit ko‘rinishida o‘tsa, boshqalarda qisqa vaqt ichida…
5 yoshgacha bo‘lgan bolalarda respirator infeksiyalarning klinik kechishi bir xil emas. Ayrim bolalarda kasallik yengil rinofaringit ko‘rinishida o‘tsa, boshqalarda qisqa vaqt ichida bronxiolit, pnevmoniya, gipoksemiya yoki nafas yetishmovchiligi rivojlanishi mumkin. Bu tafovut kasallik qo‘zg‘atuvchisidan tashqari, bolaning yoshi, tug‘ilish anamnezi, ovqatlanish holati, premorbid fon va tashqi muhit omillari bilan ham bog‘liq. Shu sababli respirator infeksiyalarning rivojlanishi va og‘ir kechishiga sabab bo‘luvchi xavf omillarini aniqlash kasallikni erta prognozlash uchun muhim hisoblanadi.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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