Abstract: Additive noise suppression is a critical challenge for achieving high-accuracy demodulation in fiber Bragg grating (FBG) sensing systems, particularly under low signal-to-noise ratio (SNR) ...
Abstract: Enhancing the resolution and contrast of ultrafast ultrasound imaging is imperative for the accuracy of clinical diagnostics. Null subtraction imaging (NSI) is a nonlinear beamforming ...
Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...
Scientists may have found a new weapon in their fight against an invasive insect species in an unexpected place: stink bugs. Specifically, Carolina and Chinese mantises and soldier bugs, a form of ...
Binary News Network is a Content Syndication Platform that allows businesses or proprietary newswires to bring visibility to their content by syndicating it to premium, high-visibility networks and ...
Binary decision diagrams (BDDs) are directed acyclic graphs used to represent functions over boolean variables. They have enjoyed widespread success in a number of domains, including hardware ...
Cluster analysis can be used on symptom and behavior data to identify groups of similar individuals who may share underlying disease etiology or health risks. However, there are few clustering methods ...
State Key Laboratory of Cryogenic Science and Technology, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, P.O. Box 2711, Beijing 100190, China University of Chinese Academy ...
ABSTRACT: In this study, a hybrid machine learning (HML)-based approach, incorporating Genetic data analysis (GDA), is proposed to accurately identify the presence of adenomatous colorectal polyps ...
Department of Chemistry, Faculty of Basic Sciences, Azarbaijan Shahid Madani University, 35 km Tabriz-Maraghe Road, P.O. Box 53714161, Tabriz, Iran Article Views are the COUNTER-compliant sum of full ...
Pretrained large language models (LLMs) boast remarkable language processing abilities but require substantial computational resources. Binarization, which reduces model weights to a single bit, ...
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