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Showing 48810 results for "deepesh data" · Peer-Reviewed
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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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

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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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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Computer Science Peer-Reviewed PDF DOI

Automated Software Test Data Generation With Generative Adversarial Networks

Xiujing Guo, Hiroyuki Okamura, Tadashi Dohi · 2022

With the rapid increase of software scale and complexity, the cost of traditional software testing methods will increase faster than the scale of software. In order to improve test efficiency, it is p…

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Computer Science Peer-Reviewed PDF DOI

Configurable Mixed-Radix Number Theoretic Transform Architecture for Lattice-Based Cryptography

Phap Duong-Ngoc, Hanho Lee · 2022

Lattice-based cryptography continues to dominate in the second-round finalists of the National Institute of Standards and Technology post-quantum cryptography standardization process. Computational ef…

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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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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

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

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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AI & Data Science Peer-Reviewed PDF DOI

Using HW/SW Codesign for Deep Neural Network Hardware Accelerator Targeting Low-Resources Embedded Processors

Erez Manor, Shlomo Greenberg · 2022

The usage of RISC-based embedded processors, aimed at low cost and low power, is becoming an increasingly popular ecosystem for both hardware and software development. High performance yet low power e…

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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

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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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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AI & Data Science Peer-Reviewed PDF DOI

Neural Network Approach to Program Synthesis for Tabular Transformation by Example

Yoshifumi Ujibashi, Atsuhiro Takasu · 2022

Data transformation is a laborious and time-consuming task for analysts. Programming by example (PBE) is a technique that can simplify this difficult task for data analysts by automatically generating…

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AI & Data Science Peer-Reviewed PDF DOI

Comparative Study of Optimum Medical Diagnosis of Human Heart Disease Using Machine Learning Technique With and Without Sequential Feature Selection

Ghulab Nabi Ahmad, Shafi Ullah, Abdullah Algethami, Hira Fatima, Syed Md. Humayun Akhter · 2022

Predicting heart disease is regarded as one of the most difficult challenges in the health-care profession. To predict cardiac disease, researchers employed a variety of algorithms including LDA, RF, …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

On the Scalability of Vision-Based Drone Swarms in the Presence of Occlusions

Fabian Schilling, Enrica Soria, Dario Floreano · 2022

Vision-based drone swarms have recently emerged as a promising alternative to address the fault-tolerance and flexibility limitations of centralized and communication-based aerial collective systems. …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

A Novel Moving Target Defense Scheme With Physical Unclonable Functions-Based Authentication

Chuan-Gang Liu · 2022

Recent studies have discovered possible security issues on Supervisory Control and Data Acquisition systems (SCADA) in the critical architecture and focus on developing protection mechanisms on this s…

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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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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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