23 papers · ranked by Valyu relevance
Mohammad Hosseini
—Today, with the growing demands of information storage and data transfer, data compression is becoming increasingly important. Data Compression is a technique which is used to decrease the size of data. This is very useful when some huge files have to be transferred over networks or being stored on a data storage…
Milan Klöwer, Miha Razinger, Juan J. Dominguez, Peter D. Düben + 1 more
'Tim N. Palmer'] Hundreds of petabytes are produced annually at weather and climate forecast centers worldwide. Compression is essential to reduce storage and to facilitate data sharing. Current techniques do not distinguish the real from the false information in data, leaving the level of meaningful precision…
Changqing Zhao, Ling Xia Liao, Guomin Chen, Han-Chieh Chao + 2 more
'Javier Prieto' 'Mehmet Rasit Yuce'] The accurate and efficient classification of network traffic, including malicious traffic, is essential for effective network management, cybersecurity, and resource optimization. However, traffic classification methods in modern, complex, and dynamic networks face significant…
Minsoo Kim, Hyubjin Lee, Yon Dohn Chung
This work was supported in part by the National Research Foundation of Korea (NRF) funded by the Korean Government [Ministry of Science and ICT (MIST)] under Grant NRF-2020R1A2C2013286, in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of…
Mateen Ulhaq
| Name: | Mateen Ulhaq | | --- | --- | | Degree: | Master of Applied Science (Engineering) | | Thesis title: | Learned Compression for Images and Point Clouds | | Committee: | Chair: Andrew Rawicz | | | Professor, Engineering Science | | | Ivan V. Bajić | | | Supervisor | | | Professor, Engineering Science | | | Mirza…
M Baritha Begum, N. Deepa, Mueen Uddin, Rajesh Kaluri + 2 more
'Maha Abdelhaq' 'Raed Alsaqour'] Data stored on physical storage devices and transmitted over communication channels often have a lot of redundant information, which can be reduced through compression techniques to conserve space and reduce the time it takes to transmit the data. The need for adequate security…
David Podgorelec, Damjan Strnad, Ivana Kolingerová, Borut Žalik + 1 more
'Jun Chen'] After a boom that coincided with the advent of the internet, digital cameras, digital video and audio storage and playback devices, the research on data compression has rested on its laurels for a quarter of a century. Domain-dependent lossy algorithms of the time, such as JPEG, AVC, MP3 and others…
Senik Matinyan, Jan Pieter Abrahams
High-throughput data collection in crystallography poses significant challenges in handling massive amounts of data. Here, we present TERSE, a novel lossless compression algorithm specifically designed for diffraction data. We compare TERSE with the established lossless compression algorithms implemented in gzip, CBF…
Oscar W. Savolainen, Zheng Zhang, Timothy G. Constandinou
Recent years have demonstrated the feasibility of using intracortical Brain-Machine Interfaces (iBMIs), by decoding thoughts, for communication and cursor control tasks. iBMIs are increasingly becoming wireless due to the risk of infection and mechanical failure, typically associated with percutaneous connections. The…
Anas Al-okaily, Abdelghani Tbakhi
Data compression is a challenging and increasingly important problem. As the amount of data generated daily continues to increase, efficient transmission and storage have never been more critical. In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated…
Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Anan Li + 7 more
Efficient storage and sharing of massive biomedical data would open up their wide accessibility to different institutions and disciplines. However, compressors tailored for natural photos/videos are rapidly limited for biomedical data, while emerging deep learning based methods demand huge training data and are…
Oscar W. Savolainen, Zheng Zhang, Peilong Feng, Timothy G. Constandinou
Recent advances in intracortical brain machine interfaces (iBMIs) have demonstrated the feasibility of using our thoughts; by sensing and decoding neural activity, for communication and cursor control tasks. It is essential that any invasive device is completely wireless so as to remove percutaneous connections and the…
Yang Han, Guangjun Qin, Yongqing Hu
In data storage and transmission, file compression is a common technique for reducing the volume of data, reducing data storage space and transmission time and bandwidth. However, there are significant differences in the compression performance of different types of file formats, and the benefits vary. In this paper…
Jiujing Zhang, Zhitao Shen, Shiyu Yang, Lingkai Meng + 6 more
'Jia Wang' 'Yue Li' 'Qinhui Sun' 'Wenjie Zhang' 'Xuemin Lin'] JIUJING ZHANG∗ , Guangzhou University & University of New South Wales, China & Australia ZHITAO SHEN, Ant Group, China SHIYU YANG† , Guangzhou University, China LINGKAI MENG, Ant Group & Antai College of Economics and Management, Shanghai Jiao Tong…
Giacomo Chiarot, Claudio Silvestri
Smart objects are increasingly widespread and their ecosystem, also known as the Internet of Things, is relevant in many application scenarios. The huge amount of temporally annotated data produced by these smart devices demands efficient techniques for the transfer and storage of time series data. Compression…
Miaoshan Lu, Junjie Tong, Ruimin Wang, Shaowei An + 2 more
Mass spectrum (MS) data volumes increase with an improved ion acquisition ratio and a highly accurate mass spectrometer. However, the most widely used data format, mzML, does not take advantage of compression methods and improved read performances. Several compression algorithms have been proposed in recent years, and…
Vasileios Alevizos, Nikitas Gerolimos, Sabrina Edralin, C. J. Xu + 4 more
'Akebu Simasiku' 'Georgios Priniotakis' 'George A. Papakostas' 'Zongliang Yue'] Abstract—One requirement of maintaining digital information is storage. With the latest advances in the digital world, new emerging media types have required even more storage space to be kept than before. In fact, in many cases it is…
Mukesh Mishra, Gourab Sen Gupta, Xiang Gui, Óscar García
The exponential growth in remote sensing, coupled with advancements in integrated circuits (IC) design and fabrication technology for communication, has prompted the progress of Wireless Sensor Networks (WSN). WSN comprises of sensor nodes and hubs fit for detecting, processing, and communicating remotely. Sensor nodes…
Emir Öztürk, Altan Mesut, Stefano Cirillo
Learning-based data compression methods have gained significant attention in recent years. Although these methods achieve higher compression ratios compared to traditional techniques, their slow processing times make them less suitable for compressing large datasets, and they are generally more effective for short…
Daniel Probst
Last year, a preprint gained notoriety, proposing that a k-nearest neighbour classifier is able to outperform large-language models using compressed text as input and normalised compression distance (NCD) as a metric. In chemistry and biochemistry, molecules are often represented as strings, such as SMILES for small…
Jan Weinreich, Daniel Probst
In recent years, natural language processing approaches to machine learning, most prominently deep neural network-based transformers, have been extensively applied to molecular classification and regression tasks, including the prediction of pharmacokinetic and quantum-chemical properties. However, models based on deep…
Anders Andreasen, Maria Bonto, Fernando Montero
– This paper presents a framework for optimisation and techno-economic analysis of various pressurisation pathways for CO2 pipeline transportation. The pressurisation pathways include a conventional compression only case from initial to final pressure, a sub-critical compression part followed by cooling, liquefaction…
Authors not listed
Cost effective and reliable hydrogen compression remains a challenging barrier in the wide-spread adoption of hydrogen as an energy carrier. The prevailing technology of mechanical compression suffers from several drawbacks, some of which can be addressed by non-mechanical compression strategies (e.g., electrochemical…