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Kang Niu, Xu Bai, Xi Chen, Di Yang, Jiaxun Li and Jianqiao Yu
To improve the performance of intercepting a target with different maneuvering modes and changing the mode suddenly during the interception, a new adaptive control algorithm for the IGC (Integrated Guidance and Control) system is proposed, using the glob...
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Haochen Li, Haibing Chen, Chengpeng Tan, Zaiming Jiang and Xinyi Xu
Optimal entry flight of hypersonic vehicles requires achieving specific mission objectives under complex nonlinear flight dynamics constraints. The challenge lies in rapid generation of optimal or near-optimal flight trajectories with significant changes...
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Arghavan Asad, Rupinder Kaur and Farah Mohammadi
From self-driving cars to detecting cancer, the applications of modern artificial intelligence (AI) rely primarily on deep neural networks (DNNs). Given raw sensory data, DNNs are able to extract high-level features after the network has been trained usi...
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Youngmin Park, Euihyun Kim, Youngjin Choi, Gwangho Seo, Youngtaeg Kim and Hokyun Kim
Typhoon attacks on the Korean Peninsula have recently become more frequent, and the strength of these typhoons is also gradually increasing because of climate change. Typhoon attacks cause storm surges in coastal regions; therefore, forecasts that enable...
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Jae Joong Kang, Hyun Ju Oh, Seok-Hyun Youn, Youngmin Park, Euihyun Kim, Hui Tae Joo and Jae Dong Hwang
The size of phytoplankton (a key primary producer in marine ecosystems) is known to influence the contribution of primary productivity and the upper trophic level of the food web. Therefore, it is essential to identify the dominant sizes of phytoplankton...
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Mashael Aldayel, Mourad Ykhlef and Abeer Al-Nafjan
This article presents an application of deep learning in preference detection performed using EEG-based BCI.
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Wan-Ju Lin, Shih-Hsuan Lo, Hong-Tsu Young and Che-Lun Hung
The use of surface roughness (Ra) to indicate product quality in the milling process in an intelligent monitoring system applied in-process has been developing. From the considerations of convenient installation and cost-effectiveness, accelerator vibrat...
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Iqra Hameed, Pham-Viet Tuan and Insoo Koo
In this paper, we propose a learning-based solution for resource allocation in a wireless powered communication network (WPCN). We provide a study and analysis of a deep neural network (DNN) which can reasonably effectively approximate the iterative opti...
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Min-Kyung Lee and Inwon Lee
In this study, deep neural network (DNN) and transfer learning (TL) techniques were employed to predict the viscous resistance and wake distribution based on the positions of flow control fins (FCFs) applied to containerships of various sizes. Both metho...
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Noel Daniel Gundi, Pramesh Pandey, Sanghamitra Roy and Koushik Chakraborty
Increasing processing requirements in the Artificial Intelligence (AI) realm has led to the emergence of domain-specific architectures for Deep Neural Network (DNN) applications. Tensor Processing Unit (TPU), a DNN accelerator by Google, has emerged as a...
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Roxana-Elena Mihaescu, Mihai Chindea, Constantin Paleologu, Serban Carata and Marian Ghenescu
Solving the person re-identification problem involves making associations between the same person?s appearances across disjoint camera views. Further, those associations have to be made on multiple surveillance cameras in order to obtain a more efficient...
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Zexin Hu, Yiqi Zhao and Matloob Khushi
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable area of study. Deep learning applications have been proven to yield better accuracy and return in the field of financial prediction and forecasting. In this survey, w...
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Kanghyeok Lee, Changhyun Choi, Do Hyoung Shin and Hung Soo Kim
Heavy rain damage prediction models were developed with a deep learning technique for predicting the damage to a region before heavy rain damage occurs. As a dependent variable, a damage scale comprising three categories (minor, significant, severe) was ...
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Kaito Furuhashi and Takashi Nakaya
Global warming is currently progressing worldwide, and it is important to control greenhouse gas emissions from the perspective of adaptation and mitigation. Occupant behavior is highly individualized and must be analyzed to accurately determine a buildi...
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Zilin Zhao, Yuanying Chi, Zhiming Ding, Mengmeng Chang and Zhi Cai
Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time. Most of the existing methods in this scenario rely on shallow ...
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Yuzhi Zhang, Shumin Zhang, Bin Wang, Yang Liu, Weigang Bai and Xiaohong Shen
Orthogonal time frequency space (OTFS) is a novel two-dimensional (2D) modulation technique that provides reliable communications over time- and frequency-selective channels. In underwater acoustic (UWA) channel, the multi-path delay and Doppler shift ar...
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Kaya ter Burg and Heysem Kaya
Classifying facial expressions is a vital part of developing systems capable of aptly interacting with users. In this field, the use of deep-learning models has become the standard. However, the inner workings of these models are unintelligible, which is...
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Dian Yu and Shouqian Sun
Subject-independent emotion recognition based on physiological signals has become a research hotspot. Previous research has proved that electrodermal activity (EDA) signals are an effective data resource for emotion recognition. Benefiting from their gre...
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Bin Liu, Zhexi Zhang, Junchi Yan, Ning Zhang, Hongyuan Zha, Guofu Li, Yanting Li and Quan Yu
Risk control has always been a major challenge in finance. Overdue repayment is a frequently encountered discreditable behavior in online lending. Motivated by the powerful capabilities of deep neural networks, we propose a fusion deep learning approach,...
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Sang Hoon Lee, Kwang-Yul Kim and Yoan Shin
Recently, in order to satisfy the requirements of commercial communication systems and military communication systems, automatic modulation classification (AMC) schemes have been considered. As a result, various artificial intelligence algorithms such as...
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