Results 41 to 50 of about 120,891 (289)

Time-frequency catalogue: JSON implementation and python library

Frontiers in Astronomy and Space Sciences, 2023
TFCat (Time-Frequency Catalogue) is a data interchange format based on JSON (JavaScript Object Notation), which has been initially designed for exchanging low frequency radio events and features.
Baptiste Cecconi, Corentin K. Louis, Xavier Bonnin, Alan Loh, Mark B. Taylor   +4 more
doaj   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Implementasi Web Push Notification pada Sistem Informasi Manajemen Arsip Menggunakan PUSHJS

Jurnal Teknologi Informasi dan Ilmu Komputer, 2019
Teknologi terus menerus berkembang, berbagai jenis teknologi terus bermunculan seperti sistem informasi manajemen arsip, masalahnya para pekerja kadang melakukan pekerjaan lain di komputer sehingga arsip tidak terkontrol.
Alam Rahmatulloh, Andi Nur Rachman, Fahmi Anwar   +2 more
doaj   +1 more source

White Mirror: Leaking Sensitive Information from Interactive Netflix Movies using Encrypted Traffic Analysis

, 2019
Privacy leaks from Netflix videos/movies is well researched. Current state-of-the-art works have been able to obtain coarse-grained information such as the genre and the title of videos by passive observation of encrypted traffic.
Chandrachoodan, Nitin, Mitra, Gargi, SLPSK, Patanjali, V, Kamakoti, Vairam, Prasanna Karthik   +4 more
core   +1 more source

Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach. [PDF]

, 2016
Large-scale analysis of EEG and other physiological measures promises new insights into brain processes and more accurate and robust brain-computer interface models.
Bigdely-Shamlo, Nima, Makeig, Scott, Robbins, Kay A   +2 more
core   +1 more source

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

Component-aware Orchestration of Cloud-based Enterprise Applications, from TOSCA to Docker and Kubernetes

, 2020
Enterprise IT is currently facing the challenge of coordinating the management of complex, multi-component applications across heterogeneous cloud platforms.
Antonio Brogi, Brogi A, Chekin P, Cochrane K, Davide Neri, Erl T, Hightower K, Jacopo Soldani, Matteo Bogo, Matthias K, Mitchell M, Stefan K, Tozzi C, Wurster M, Wurster M   +14 more
core   +1 more source

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Advanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit, Irini Furxhi, Penny Nymark, Antreas Afantitis, Ammar Ammar, Monica J. B. Amorim, Dalila Antunes, Svetlana Avramova, Chiara L. Battistelli, Gianpietro Basei, Cecilia Bossa, Emil Cimpan, Mihaela Roxana Cimpan, Dmitri Ciornii, Anna Costa, Camilla Delpivo, Maria Dusinska, Ana Sofia Fonseca, Steffi Friedrichs, Vasile‐Dan Hodoroaba, Danail Hristozov, Panagiotis Isigonis, Nina Jeliazkova, Nikolay Kochev, Eva Kranjc, Dieter Maier, Georgia Melagraki, Anastasios G. Papadiamantis, Tomasz Puzyn, Hubert Rauscher, Katie Reilly, Araceli Sánchez Jiménez, Janeck J. Scott‐Fordsmand, Neeraj Shandilya, Hyun Kil Shin, Gergana Tancheva, Jeaphianne P. M. van Rijn, Egon L. Willighagen, Ewelina Wyrzykowska, Martine I. Bakker, Damjana Drobne, Thomas E. Exner, Martin Himly, Iseult Lynch   +43 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Benchmarking JSON BinPack

, 2022
In this paper, we present benchmark results for a pre-production implementation of a novel serialization specification: JSON BinPack. JSON BinPack is a schema-driven and schema-less sequential binary serialization specification based on JSON Schema.
Viotti, Juan Cruz, Kinderkhedia, Mital
openaire   +2 more sources