Computational Methods for Deep Learning
Theory, Algorithms, and Implementations
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94 Result(s)
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Article
An enhanced multi-scale weight assignment strategy of two-exposure fusion
Multi-exposure image fusion (MEF) is a convenient way to get high dynamic range (HDR) images. However, when the input sequence with a large difference in exposure time, the existing MEF algorithms cannot well ...
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Article
Open AccessBesicovitch Almost Anti-periodic Solution of Octonion-Valued Cohen–Grossberg Neural Networks with Delays on Time Scales
In this work, we put forward a concept of Besicovitch almost anti-periodic functions on time scales, which is new even when time scale $$\math...
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Article
Multiple palm features extraction method based on vein and palmprint
Contactless acquisition enables palm identification device to be more easily accepted by people who worry about hygiene problems. The uncertainty of the position between the palm and the device leads to the ho...
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Chapter and Conference Paper
Kiwifruit Counting Using Kiwidetector and Kiwitracker
Efficient fruit detection and counting are crucial to improve fruit industrial efficiency and assist the farmers to develop reasonable harvesting strategies in advance while significantly reducing human labors...
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Chapter and Conference Paper
Dynamic Output-Feedback Control for Multirate Positive Systems Under Round-Robin Protocol
This article is devoted to the problem of dynamic output-feedback control for a class of discrete-time multirate systems under the scheduling of the Round-Robin (R-R) communication protocol. In order to reflec...
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Article
Enhancing embedded systems development with TS \(^-\)
The lack of flexibility and safety in C language development has been criticized for a long time, causing detriments to the development cycle and software quality in the embedded systems domain. TypeScript, as...
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Article
Fuzzy Inference Soil Analysis System for Automated Vehicles in Honey Tangerine Orchards
In recent years, agriculture has incorporated various sensors to obtain crop data. Nutrients, conductivity, and pH in soil are the key factors affecting the growth of crops. Before using fertilizers, farmers n...
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Article
Open AccessFruit ripeness identification using transformers
Pattern classification has always been essential in computer vision. Transformer paradigm having attention mechanism with global receptive field in computer vision improves the efficiency and effectiveness of ...
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Article
Human identification based on Gait Manifold
Gait-based pedestrian identification has important applications in intelligent surveillance. From anatomical viewpoint, the physical uniqueness of human gait is physiological discriminative of individuals. The...
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Chapter and Conference Paper
Analysis of Driver Navigation Software Use Experience Based on Structural Equation Model
To explore the key factors affecting drivers’ experience of using navigation software, 306 valid questionnaires about basic personal attributes, perceptual experience, interactive experience, and emotional exp...
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Chapter and Conference Paper
Visualization Method of Urban Motor Vehicle Trajectory Based on License Plate Recognition Data
With the advent of the era of big data, efficient transportation plan decision-making and management are inseparable from the support of traffic big data. The license plate recognition data of road intersectio...
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Chapter and Conference Paper
Enhancing Privacy Protection in Intelligent Surveillance: Video Blockchain Solutions
Blockchain has emerged as a contemporary innovation that ensures secure operations in distributed networks, including decentralized applications, finance, logistics, and cross-border organizational control. In...
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Chapter
Transfer Learning and Ensemble Learning
In this chapter, we start from transfer learning and introduce the relationship between learners. We use ensemble learning to combine them together and hope to get a strong learner from a weak learner by chang...
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Chapter and Conference Paper
Design of a Highway Traffic Safety Assessment System Based on Crash Data Mining and Modeling
With the advent of the era of traffic information technology, traffic data appears to be extremely large, and the traditional way of managing highway crashes has become difficult to adapt to the many implicati...
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Chapter
Deep Learning Platforms
There are a plethora of deep learning platforms available at present. The famous one is MATLAB deep learning toolbox developed by MathWorks which simplifies deep learning computations and reduces the workload ...
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Chapter
Generative Adversarial Networks and Siamese Nets
In this chapter, we will emphasize computational iterations in GANs (i.e., generative adversarial networks) [46] and Siamese nets [3, 6, 15] . In deep learning, these models are named as contrastive networks [3]...
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Chapter
Manifold Learning and Graph Neural Network
In this chapter, we will introduce manifold learning and graph neural networks. We hope to introduce graphical probability models as the starting point of basestone. We need to introduce our readers why we sho...
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Book
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Chapter
Introduction
This chapter covers the fundamentals of deep learning, therefore, we present relevant knowledge in chronological order so as to fully introduce the history of deep learning development; meanwhile, we review ho...
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Article
Open AccessA deep ensemble learning method for colorectal polyp classification with optimized network parameters
Colorectal Cancer (CRC), a leading cause of cancer-related deaths, can be abated by timely polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely without submitting the sample...
