Results 61 to 70 of about 10,957 (282)

The adaptive constant false alarm rate for sonar target detection based on back propagation neural network access

IET Signal Processing, 2023
With oceanic reverberation and a large amount of data being the main sources of interference for underwater acoustic target detection, it is difficult to obtain a more robust detection performance by relying on the traditional constant false alarm rate ...
Zhou Chen, Xianwen Zhao, Ziqi Zhou, Xuefei Ma, Qi Cheng, Xuan Cai, Bowang Jiang, Rahim Khan, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba   +10 more
doaj   +1 more source

From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley   +1 more source

Fit to Perfection? How Regulatory Fit Affects Consumer Adoption of Innovations

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Understanding how regulatory focus shapes consumer responses is critical to explaining innovation adoption. Existing research has primarily examined chronic regulatory focus, product message‐related regulatory focus, and temporary regulatory focus in isolation, thereby neglecting their interplay and the role of regulatory fit in shaping ...
Slawka Jordanow, Nina Gospodinova, Sven Heidenreich, Benedikt Schnellbächer   +3 more
wiley   +1 more source

Features requirement elicitation process for designing a chatbot application

IET Networks, EarlyView., 2022
This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari, Puteri N. E. Nohuddin, Ahmad Hanif Ahmad Baharin, Noor Azuddin Yakob, Mohammad Javad Ebadi   +4 more
wiley   +1 more source

Algorithm for False Alarm Stabilization against the Background of Nonstationary Noise with Trend Estimation

Известия высших учебных заведений России: Радиоэлектроника
Introduction. A detection algorithm that ensures a constant value of the false alarm rate against the background of nonstationary noise, whose average value varies within a sliding window.
V. A. Belokurov, T. Q. Nguyen
doaj   +1 more source

Fungal Antimicrobial Resistance: Mechanisms, Drivers, and Global Clinical Burden

ChemFoodChem, EarlyView.
ABSTRACT Fungal antimicrobial resistance (AMR) is a growing concern for world health caused by an increase in multidrug‐resistant infections, an increase in environmental reservoirs, and the ineffectiveness of current antifungal treatments. Fungal infections continue to be largely excluded from AMR initiatives while causing over 1.6 million deaths ...
Bikash Baral
wiley   +1 more source

Adaptive Constant False Alarm Rate Detector Based on Long Short-term Memory Network [PDF]

Radioengineering
To solve the problem of degradation of detection performance of adaptive constant false alarm rate (CFAR) detectors due to low accuracy of environment recognition, an automatic clipping adaptive CFAR detector based on long short-term memory (LSTM ...
C. Xiu, Y. Li
doaj  

Matched Direction Detection in Unknown Gaussian Thermal Noise

IEEE Access
This paper addresses the problem of detecting a distributed target embedded in Gaussian thermal noise with an unknown variance, in the presence of structured interference.
Haibo Tong, Peng Wu, Hai Sha, Mingyue Yin, Yang Wan   +4 more
doaj   +1 more source

An Adaptive Autogram Approach Based on a CFAR Detector for Incipient Cavitation Detection

Sensors, 2020
Cavitation failure often occurs in centrifugal pumps, resulting in severe harm to their performance and life-span. Nowadays, it has become crucial to detect incipient cavitation ahead of cavitation failure.
Ning Chu, Linlin Wang, Liang Yu, Changbo He, Linlin Cao, Bin Huang, Dazhuan Wu   +6 more
doaj   +1 more source

Statistical models for constant false alarm rate ship detection with the sublook correlation magnitude

, 2012
This paper presents statistical models for the subaperture cross-correlation magnitude (SCM), a test statistic for ship detection which can be produced from single-look complex (SLC) synthetic aperture radar (SAR) data.
Camilla Brekke, Stian Normann Anfinsen
core   +1 more source