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Showing 48810 results for "deepesh data" · Peer-Reviewed
AI & Data Science Peer-Reviewed PDF DOI

Anti-Periodic Synchronization of Clifford-Valued Neutral-Type Recurrent Neural Networks With D Operator

Jin Gao, Lihua Dai · 2022

In this paper, a class of Clifford-valued neutral-type recurrent neural networks with D operator is explored. By using non-decomposition method and the Banach fixed point theorem, we obtain severa…

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AI & Data Science Peer-Reviewed PDF DOI

Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey

Huiliang Zhang, Sayani Seal, Di Wu, Francois Bouffard, Benoit Boulet · 2022

Building energy management has been recognized as of significant importance on improving the overall system efficiency and reducing the greenhouse gas emission. However, the building energy management…

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AI & Data Science Peer-Reviewed PDF DOI

An Accurate Matching Query Method of Natural Language Knowledge Graph Based on Hierarchical Graph Topological Sequence

Qifeng Zou, Chaoze Lu · 2022

In recent years, although the application of knowledge graph in natural language processing has made some progress, there are still some key problems to be solved, especially the matching query proble…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem

Abeer S. Desuky, Yomna M. Elbarawy, Samina Kausar, Asmaa Hekal Omar, Sadiq Hussain · 2022

The imbalanced datasets and their classification has pulled in as a hot research topic over the years. It is used in different fields, for example, security, finance, health, and many others. The imba…

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AI & Data Science Peer-Reviewed PDF DOI

Deep Reinforcement Learning-Based Routing on Software-Defined Networks

Gyungmin Kim, Yohan Kim, Hyuk Lim · 2022

With an exponential increase in network traffic demands requiring quality of services, the need for routing optimization has become more prominent. Recently, the advent of software-defined networking …

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AI & Data Science Peer-Reviewed PDF DOI

Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review

Fang Li, Xueyuan Li, Qi Liu, Zirui Li · 2022

Pedestrian detection is an important branch of computer vision, and has important applications in the fields of autonomous driving, artificial intelligence and video surveillance. With the rapid devel…

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AI & Data Science Peer-Reviewed PDF DOI

State-Dependent Parameter Tuning of the Apparent Tardiness Cost Dispatching Rule Using Deep Reinforcement Learning

Byungwook Min, Chang Ouk Kim · 2022

The apparent tardiness cost (ATC) is a dispatching rule that demonstrates excellent performance in minimizing the total weighted tardiness (TWT) in single-machine scheduling. The ATC rule’s performanc…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Data Dissemination in VANETs Using Clustering and Probabilistic Forwarding Based on Adaptive Jumping Multi-Objective Firefly Optimization

Mustafa Maad Hamdi, Lukman Audah, Sami Abduljabbar Rashid · 2022

Data dissemination in a VANETs network requires a meticulous process to ensure a high quality of service and eliminate hazardous conditions due to congestion or a broadcast storm. Considering multi-me…

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Computer Science Peer-Reviewed PDF DOI

Seismic Random Noise Removal Based on a Multiscale Convolution and Densely Connected Network for Noise Level Evaluation

Liang Guo, Renze Luo, Xingyu Li, Yang Zhou, Tuo Juanjuan, Canru Lei · 2022

Traditional denoising methods for seismic exploration data design a corresponding mathematical denoising model batch according to the different properties of different random noises, which is a tediou…

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AI & Data Science Peer-Reviewed PDF DOI

Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding

Seongbin Oh, Dongseok Kwon, Gyuho Yeom, Won-Mook Kang, Soochang Lee, Sung Yun Woo, Jaehyeon Kim, Jong-Ho Lee · 2022

Hardware-based Spiking Neural Networks (SNNs) are regarded as promising candidates for the cognitive computing system due to its low power consumption and highly parallel operation. In this paper, we …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

RESHAPE: Reverse-Edited Synthetic Hypotheses for Automatic Post-Editing

Wonkee Lee, Baikjin Jung, Jaehun Shin, Jong-Hyeok Lee · 2022

Synthetic training data has been extensively used to train Automatic Post-Editing (APE) models in many recent studies because the quantity of human-created data has been considered insufficient. Howev…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

PersianQuAD: The Native Question Answering Dataset for the Persian Language

Arefeh Kazemi, Jamshid Mozafari, Mohammad Ali Nematbakhsh · 2022

Developing Question Answering systems (QA) is one of the main goals in Artificial Intelligence. With the advent of Deep Learning (DL) techniques, QA systems have witnessed significant advances. Althou…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads

Mohammad Amin Rezaei, Majid Nayeripour, Jiefeng Hu, Shahab S. Band, Amir Mosavi, Mohammad-Hassan Khooban · 2022

This multilevel inverter type summarizes an output voltage of medium voltage based on a series connection of power cells employing standard configurations of low-voltage components. The main problems …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

How Does Proximity Affect the Dual Innovation of Alliance Partner? The Role of Knowledge Coupling

Yongbo Sun, Ying Sun, Jiajia Zhang · 2022

Recent work on alliance partner selection focuses on the relationship between partner features and alliance performance, while ignoring the influence mechanism of alliance partner features on differen…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Estimating the Bot Population on Twitter via Random Walk Based Sampling

Mei Fukuda, Kazuki Nakajima, Kazuyuki Shudo · 2022

The rise of social bots, which contribute to marketing, political intervention, and the spread of fake news, has been noted. Analysis methods for the characteristics of Twitter bots have been develope…

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Engineering Peer-Reviewed PDF DOI

Automated Prescreening of Mild Cognitive Impairment Using Shank-Mounted Inertial Sensors Based Gait Biomarkers

Ahsan Shahzad, Aresh Dadlani, Hyeonil Lee, Kiseon Kim · 2022

The mild symptoms in Mild Cognitive Impairment (MCI), a precursor of dementia, often go unnoticed and are assumed as normal aging signs. Such negligence result in late visits which consequently, lead …

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AI & Data Science Peer-Reviewed PDF DOI

LOTR: Face Landmark Localization Using Localization Transformer

Ukrit Watchareeruetai, Benjaphan Sommana, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly, Aubin Samacoits, Samuel W. F. Earp, Nakarin Sritrakool · 2022

This paper presents a novel Transformer-based facial landmark localization network named Localization Transformer (LOTR). The proposed framework is a direct coordinate regression approach leveraging a…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Multiscale Anisotropic Morphological Directional Derivatives for Noise-Robust Image Edge Detection

Xiaohang Yu, Xinyu Wang, Jie Liu, Rongrong Xie, Yunhong Li · 2022

Different types of noise interference lead to low accuracy of image edge detection and severe loss of feature extraction details. A new noise-robust edge detection method is proposed, which uses a set…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control

Maryam Yalsavar, Paknoosh Karimaghaee, Akbar Sheikh-Akbari, Mohammad-Hassan Khooban, Jamshid Dehmeshki, Salah Al-Majeed · 2022

Support Vector Machine (SVM) is a supervised machine learning algorithm, which is used for robust and accurate classification. Despite its advantages, its classification speed deteriorates due to its …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture

Phu N. Tran, Hoang Q. V. Nguyen, Duc-Thinh Pham, Sameer Alam · 2022

Aircraft trajectory prediction is a challenging problem in air traffic control, especially for conflict detection. Traditional trajectory predictors require a variety of inputs such as flight-plans, a…

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