Results 51 to 60 of about 206,444 (292)

Buffered Reset Leads to Improved Compression in Fuzzy ARTMAP Classification of Radar Range Profiles [PDF]

open access: yes, 1996
Fuzzy ARTMAP has to date been applied to a variety of automatic target recognition tasks, including radar range profile classification. In simulations of this task, it has demonstrated significant compression compared to k-nearest-neighbor classifiers ...
Grossberg, Stephen   +2 more
core   +1 more source

Alternating High‐Fat and Polysaccharide Diets Modulates Gut Phage‐Bacterial Interplay

open access: yesAdvanced Science, EarlyView.
This study reveals how alternating high‐fat and polysaccharide diets reshape the human gut virome and enhance phage‐bacteria interactions. Using large‐scale metagenomic meta‐analysis and a time‐resolved mouse model, the authors show that diets strongly modulate phage abundance, lifestyle, and gene exchange, offering new insights into nutrition‐guided ...
Fengxiang Zhao   +6 more
wiley   +1 more source

Bayesian approach to SETI

open access: yes, 2018
The search for technosignatures from hypothetical galactic civilizations is going through a new phase of intense activity. For the first time, a significant fraction of the vast search space is expected to be sampled in the foreseeable future ...
Anderson   +24 more
core   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

open access: yesAdvanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang   +14 more
wiley   +1 more source

Detection Range Performance of AESA Radar with Variable Search Frame Time [PDF]

open access: yesJournal of Electromagnetic Engineering and Science
Modern radars with active electronically scanned array (AESA) are capable of performing multi-functions, such as search, acquisition, and track for multiple targets.
Ji Hwan Yoon   +3 more
doaj   +1 more source

A Joint Allocation Method of Multi-Jammer Cooperative Jamming Resources Based on Suppression Effectiveness

open access: yesMathematics, 2023
This paper studies the resource allocation problem when multiple jammers follow the aircraft formation to support ground penetration. A joint optimization allocation method of multi-jammer beam-power based on the improved artificial bee colony (IABC ...
Huaixi Xing, Qinghua Xing, Kun Wang
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Fusion of IRST and Radar Measurements for 3D Target Tracking [PDF]

open access: yes, 2009
Two different types of measurement fusion methods for fusing IRST (infrared search and track) and radar measurements to track a target in 3D Cartesian coordinates are evaluated and discussed in this paper.
Naidu, VPS
core  

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

Radar-based Feature Design and Multiclass Classification for Road User Recognition

open access: yes, 2019
The classification of individual traffic participants is a complex task, especially for challenging scenarios with multiple road users or under bad weather conditions.
Appenrodt, Nils   +3 more
core   +1 more source

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