Results 321 to 330 of about 9,132,693 (375)

Survey of systematic reviews in dentistry

The Journal of the American Dental Association, 2004
Although systematic reviews are the backbone of evidence-based dentistry, they have appeared infrequently in the clinical dental literature and their importance may not be recognized by dentists. The authors describe the steps taken in systematic reviews and perform a literature survey to identify published systematic reviews of topics relevant to ...
James, Bader, Amid, Ismail
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Conclusions from surveys may not consider important biases: a systematic survey of surveys

Journal of Clinical Epidemiology, 2020
Surveys can inform important health care questions. However, should decision-makers believe strong conclusions that authors of surveys report? Objectives of this systematic survey of surveys are to describe the characteristics and conduct of surveys and investigate the association of the conduct with the conclusions.We randomly selected 180 surveys ...
Santesso, Nancy, Barbara, Angela M., Kamran, Rakhshan, Akkinepally, Sita, Cairney, John, Akl, Elie A., Schünemann, Holger J.   +6 more
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Crowdsourcing in Systematic Reviews: A Systematic Mapping and Survey

2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2020
Context: Systematic reviews (SRs) have been adopted in the Software Engineering (SE) field for more than a decade to provide synthesis of evidence on various topics. However, the process in conducting an SR remains laborious-intensive and expensive, specially in terms of hours that SR researchers dedicate.
Katia R. Felizardo, Erica F. de Souza, Rafael Lopes, Geovanne J. Moro, Nandamudi L. Vijaykumar   +4 more
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A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

arXiv.org
Prompt engineering has emerged as an indispensable technique for extending the capabilities of large language models (LLMs) and vision-language models (VLMs). This approach leverages task-specific instructions, known as prompts, to enhance model efficacy
Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Vinija Jain, S. Mondal, Aman Chadha   +5 more
semanticscholar   +1 more source

Systematic Survey on Sentiment Analysis

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), 2018
Sentiment Analysis and Opinion Mining have been of great interest to the researchers during recent years. It is the process of classifying the opinions or sentiments according to the polarity of the text into positive, neutral and negative. Most of the organizations and industries highly depend on data analytics for their planning and decisionmaking ...
Shubham Kumar Jain, Pardeep Singh
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Self-supervised Learning for Electroencephalogram: A Systematic Survey

ACM Computing Surveys
Electroencephalography (EEG) is a non-invasive technique to record bioelectrical signals. Integrating supervised deep learning techniques with EEG signals has recently facilitated automatic analysis across diverse EEG-based tasks.
Weining Weng, Yang Gu, Shuai Guo, Yuan Ma, Zhaohua Yang, Yuchen Liu, Yiqiang Chen   +6 more
semanticscholar   +1 more source

A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models

ACM Computing Surveys
Text summarization research has undergone several significant transformations with the advent of deep neural networks, pre-trained language models (PLMs), and recent large language models (LLMs).
Haopeng Zhang, Philip S. Yu, Jiawei Zhang   +2 more
semanticscholar   +1 more source

Image demosaicing: a systematic survey

SPIE Proceedings, 2008
Image demosaicing is a problem of interpolating full-resolution color images from so-called color-filter-array (CFA) samples. Among various CFA patterns, Bayer pattern has been the most popular choice and demosaicing of Bayer pattern has attracted renewed interest in recent years partially due to the increased availability of source codes ...
Xin Li, Bahadir Gunturk, Lei Zhang
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A Systematic Survey on Large Language Models for Algorithm Design

ACM Computing Surveys
Algorithm design is crucial for effective problem-solving across various domains. The advent of Large Language Models (LLMs) has notably enhanced the automation and innovation within this field, offering new perspectives and promising solutions.
Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang   +9 more
semanticscholar   +1 more source

Systematic and Morphological Survey

2013
To work with mites (Fig. 3.1), one must first understand their morphology and classification. Other than the need for a good microscope, the major hurdle to mite identification is the scattered nature of the literature. This disarray includes both the variety of languages and locations of the relevant papers and the babel of jargon used to describe ...
David Evans Walter, Heather C. Proctor
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