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Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops,...
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Development of a leech-inspired peristaltic crawling soft robot for intestine inspection
The development of a non-destructive and patient-friendly method for examining the intestines is crucial for early prevention and timely diagnosis of...
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Presentation of metastatic carotid body paraganglioma on F-18 FDG PET/CT: a rare disease
Carotid body paraganglioma is a slow growing tumor of head and neck region. It can rarely be malignant in nature which is characterized by distant...
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Seracam: characterisation of a new small field of view hybrid gamma camera for nuclear medicine
BackgroundPortable gamma cameras are being developed for nuclear medicine procedures such as thyroid scintigraphy. This article introduces Seracam® –...
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Domain independent heuristics for online stochastic contingent planning
Partially observable Markov decision processes (POMDP) are a useful model for decision-making under partial observability and stochastic actions....
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[18F]-D3FSP β-amyloid PET imaging in older adults and alzheimer’s disease
Purpose[ 18 F]-D3FSP is a new β-amyloid (Aβ) PET imaging tracer designed to decrease nonspecific signals in the brain by reducing the formation of the...
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Video anomaly localization using modified faster RCNN with soft NMS algorithm
Localization of anomalies in surveillance videos is a critical component of smart and intelligent surveillance systems. The goal of anomaly detection...
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Prospective investigation of amino acid transport and PSMA-targeted positron emission tomography for metastatic lobular breast carcinoma
PurposeTo explore the feasibility of imaging amino-acid transport and PSMA molecular pathways in the detection of metastatic breast invasive lobular...
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Real-time water surface target detection based on improved YOLOv7 for Chengdu Sand River
It has been a challenge to obtain accurate detection results in a timely manner when faced with complex and changing surface target detection....
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Mirror game as a tool to influence interpersonal spontaneous behavior after performance
Mirror game (MG) is an exercise in which participants imitate each other. Our study explored its spontaneous behavioral consequences after...
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Boosting person ReID feature extraction via dynamic convolution
Extraction of discriminative features is crucial in person re-identification (ReID) which aims to match a query image of a person to her/his images,...
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A. Proof of Thm. 4.34
Abstract not available
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Machine Shop I
The queuing system in this chapter is shown in Fig. 11.1. This application was adopted from a problem in ([1], p.594). We continue this problem in...
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From Genetic Variation to Probabilistic Modeling
Genetic algorithms ⦓GAs) [53, 83] are stochastic optimization methods inspired by natural evolution and genetics. Over the last few decades, GAs have...
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Inventory Control II
This chapter continues the inventory control problem studied in the previous chapter. The new system is shown in Fig. 17.1. We have added two things...
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Project Network Model
The project network diagram is in Fig. 26.1. This problem is modelled after an example in [2]. The project consists of various jobs that must be...
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Queuing II: No One-Step Calculations
In this chapter we will study the fuzzy system shown in Fig. 5.1 now reproduced as Fig. 9.1. This example was adapted from an example in [1]. The...
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Modular Neural Networks
We describe in this chapter the basic concepts, theory and algorithms of modular and ensemble neural networks. We will also give particular attention...
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Type-1 Fuzzy Logic
This chapter introduces the basic concepts, notation, and basic operations for the type-1 fuzzy sets that will be needed in the following chapters....