ESPRIT: The European Strategic Programme for Research and development in Information Technology

O'Farrell, John

doi:10.1177/016555158400800305

Cited by 3 publications

(1 citation statement)

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“…In addition to the aforementioned works, several other works have also been done in this regard, such as European Strategic program on Research, EU [17], Digital Film Manipulation Platform [18], PrestoSpace (Preservation towards storage and access, Standardised Practices for Audiovisual Contents in Europe, EU) [19, 20] etc. However, the main shortcoming of these methods is the absence of any mechanism to detect the Betacam dropout error, which is our main concern.…”

Section: Introductionmentioning

confidence: 99%

Structural pattern‐based approach for Betacam dropout detection in degraded archived media

Song

Roy

Ahn³

et al. 2019

IET Image Processing

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Section: Introductionmentioning

confidence: 99%

Structural pattern‐based approach for Betacam dropout detection in degraded archived media

Song

Roy

Ahn³

et al. 2019

IET Image Processing

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An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis

Al Bataineh,

Jalali,

Mousavirad

et al. 2024

Expert Systems

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Integrating machine learning techniques into medical diagnostic systems holds great promise for enhancing disease identification and treatment. Among the various options for training such systems, the extreme learning machine (ELM) stands out due to its rapid learning capability and computational efficiency. However, the random selection of input weights and hidden neuron biases in the ELM can lead to suboptimal performance. To address this issue, our study introduces a novel approach called modified Harris hawks optimizer (MHHO) to optimize these parameters in ELM for medical classification tasks. By applying the MHHO‐based method to seven medical datasets, our experimental results demonstrate its superiority over seven other evolutionary‐based ELM trainer models. The findings strongly suggest that the MHHO approach can serve as a valuable tool for enhancing the performance of ELM in medical diagnosis.

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Digital communication of voice: development of Integrated Services Digital Networks (ISDN) and its implications for Information Management

Philip¹

1985

Journal of Information Science

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The implementation of a digital switched transmission net work, whilst primarily for voice, offers several advantages over the traditional analogue mode of transmission. One of the most important benefits to be offered by digital switched networks is that they provide the opportunity for the integration of a whole range of voice and non-voice traffic on an end-to-end digital link. Indeed, the facility to access information in a wide variety of formats and media through integrated networks is becoming increasingly important for information services. Most leading industrialized nations are developing such Integrated Services Digital Networks (ISDN). Developments in the UK and the RACE (R&D in Advanced Communications Technol ogy for Europe) programme initiated by the EEC are discussed to give a taste of things to come. The implications of the availability of ISDN for information management are also examined very briefly.

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ESPRIT: The European Strategic Programme for Research and development in Information Technology

Cited by 3 publications

References 0 publications

Structural pattern‐based approach for Betacam dropout detection in degraded archived media

Structural pattern‐based approach for Betacam dropout detection in degraded archived media

An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis

Digital communication of voice: development of Integrated Services Digital Networks (ISDN) and its implications for Information Management

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