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Chapter and Conference Paper
Traffic Signal Control Optimization Based on Deep Reinforcement Learning with Attention Mechanisms
Deep reinforcement learning (DRL) methodology with traffic control systems plays a vital role in adaptive traffic signal controls. However, previous studies have frequently disregarded the significance of vehi...
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Chapter and Conference Paper
Task Scheduling with Improved Particle Swarm Optimization in Cloud Data Center
This paper proposes an improved particle swarm optimization algorithm with simulated annealing (IPSO-SA) for the task scheduling problem of cloud data center. The algorithm uses Tent chaotic map** to make th...
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Chapter and Conference Paper
Q-Learning Based Adaptive Scheduling Method for Hospital Outpatient Clinics
Proper selection of the number of Service Providers (SPs) such as doctors, registration windows, and examination equipments in outpatient clinics can improve the efficiency of services and promote the sharing ...
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Chapter and Conference Paper
Advanced State-Aware Traffic Light Optimization Control with Deep Q-Network
The former traffic light control (TLC) system cannot effectively regulate the traffic conditions dynamically in real time due to urban growth. The Dueling Double Deep Recurrent Q-Network with Attention Mechani...
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Chapter and Conference Paper
Traffic Signal Optimization at T-Shaped Intersections Based on Deep Q Networks
In this paper traffic signal control strategies for T-shaped intersections in urban road networks using deep Q network (DQN) algorithms are proposed. Different DQN networks and dynamic time aggregation were us...
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Chapter and Conference Paper
Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters
How to efficiently schedule tasks is the focus of cloud computing. Combining the task scheduling characteristics of the cloud computing environment, a multi-strategy improved sparrow search algorithm (MISSA) t...
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Article
Influence of comonomer DCA on thermal, crystallization, and mechanical characteristics of bio-based semi-aromatic PA10T
In this study, the semi-aromatic poly (decamethylene terephthalamide) acid (PA10T) and an array of PA10T/1010 with various copolymerization content of the third monomer 1,10-decanedioic acid (DCA) were synthes...
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Chapter and Conference Paper
A Study on Improving ALBERT with Additive Attention for Text Classification
The Transformer has made significant advances in various fields, but high computational costs and lengthy training times pose challenges for models based on this architecture. To address this issue, we propose...
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Chapter and Conference Paper
Optimal Overbooking Appointment Scheduling in Hospitals Using Evolutionary Markov Decision Process
This research proposes an algorithm to solve overbooking scheduling problem for outpatient hospitals with multiple providers and high patient demand. Assuming there is reward and system cost for serving each p...
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Chapter and Conference Paper
A Study on Japanese Text Multi-classification with ALBERT-TextCNN
Text classification is an essential task in the domain of natural language processing (NLP), which involves assigning a sentence or document to an appropriate category. This paper mainly focuses on using ALBER...
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Chapter and Conference Paper
Fitness Landscape Analysis: From Problem Understanding to Design of Evolutionary Algorithms
As an effective kind of optimization technique, evolutionary algorithms (EAs) have been widely used in many fields. In the context of EAs, to determine which algorithm would be the most appropriate for the spe...
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Chapter and Conference Paper
Optimal Resource Allocation for Brokers in Media Cloud
Due to the rapid increases in the population of mobile social users, providing the users with satisfied multimedia services has become an important issue. Media cloud has been shown to be an efficient solution...
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Article
The potential geographic distribution of Bactrocera correcta (Diptera: Tephrididae) in China based on eclosion rate model
The guava fruit fly, Bactrocera correcta (Bezzi) (Diptera: Tephritidae), is an invasive pest of fruit and vegetable crops that primarily inhabits Southeast Asia and which has the potential to become a major threa...
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Chapter and Conference Paper
The Potential Geographical Distribution of Locusta migratoria tibetensis Chen (Orthoptera: Acrididae) in Qinghai-Tibet Plateau
Locusta migratoria tibetensis Chen (Orthoptera: Acrididae) is one of the most harmful species of Acrididae. It causes extensive damage to gramineous crops. The climate map** program, CLIMEX 3.0, ...
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Chapter and Conference Paper
The Current and Future Potential Geographical Distribution of the Solanum Fruit Fly, Bactrocera latifrons (Diptera: Tephritidae) in China
The solanum fruit fly, Bactrocera latifrons (Hendel), is a major pest throughout South and South East Asia, including very few parts of southern China, and has invaded Hawaii and recently the cont...
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Chapter and Conference Paper
Maximum Entropy Niche-Based Modeling (Maxent) of Potential Geographical Distributions of Lobesia Botrana (Lepidoptera: Tortricidae) in China
Lobesia botrana (Denis & Schiffermüller, 1775) (Lepidoptera: Tortricidae) is one of the most destructive pests of grape in the Palearctic region. The potential geographical distribution o...
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Chapter and Conference Paper
Optimal Expected Discounted Reward of a Wireless Network with Award and Cost
In this paper, we extend our previous optimization investigation on a single cell (IEEE Transactions on Wireless Communications, vol. 8, no. 2, pp. 1038-1044, 2009) to a whole network with multiple cells and f...
