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American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation

Sensors (Basel, Switzerland), 2021-08, Vol.21 (17), p.5856

2021

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Identification of RNA pseudouridine sites using deep learning approaches

PloS one, 2021-02, Vol.16 (2), p.e0247511-e0247511

2021

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Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models

Scientific reports, 2022-08, Vol.12 (1), p.13963-13963, Article 13963

2022

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Dynamic Hand Gesture Recognition Using Multi-Branch Attention Based Graph and General Deep Learning Model

IEEE access, 2023, Vol.11, p.4703-4716

2023

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Carbon nanotube forest based electrostatic capacitor with excellent dielectric performances

Carbon (New York), 2017-05, Vol.116, p.648-654

2017

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Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques

IEEE access, 2023, Vol.11, p.33570-33583

2023

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Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal

Computers, materials & continua, 2022, Vol.72 (3), p.5179-5195

2022

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Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset

IEEE access, 2024, Vol.12, p.34553-34569

2024

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predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance

PloS one, 2021-04, Vol.16 (4), p.e0249396-e0249396

2021

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Fitness Movement Types and Completeness Detection Using a Transfer-Learning-Based Deep Neural Network

Sensors (Basel, Switzerland), 2022-07, Vol.22 (15), p.5700

2022

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Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis

Applied sciences, 2022-03, Vol.12 (5), p.2737

2022

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Computational identification of multiple lysine PTM sites by analyzing the instance hardness and feature importance

Scientific reports, 2021-09, Vol.11 (1), p.18882-18882, Article 18882

2021

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BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition

Applied sciences, 2021-08, Vol.11 (15), p.6845

2021

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Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8407

2021

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Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network

IEEE open journal of the Computer Society, 2024, Vol.5, p.144-155

2024

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Engineering Self-Assembly of a High‑χ Block Copolymer for Large-Area Fabrication of Transistors Based on Functional Graphene Nanoribbon Arrays

Chemistry of materials, 2019-05, Vol.31 (9), p.3154-3162

2019

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Multistage Spatial Attention-Based Neural Network for Hand Gesture Recognition

Computers (Basel), 2023-01, Vol.12 (1), p.13

2023

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Ensembled Transfer Learning Based Multichannel Attention Networks for Human Activity Recognition in Still Images

IEEE access, 2022, Vol.10, p.47051-47062

2022

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Korean Sign Language Recognition Using Transformer-Based Deep Neural Network

Applied sciences, 2023-03, Vol.13 (5), p.3029

2023

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Handwriting-based ADHD Detection for Children Having ASD using Machine Learning Approaches

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Important Features Selection and Classification of Adult and Child from Handwriting Using Machine Learning Methods

Applied sciences, 2022-05, Vol.12 (10), p.5256

2022

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Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

Genes, 2020-08, Vol.11 (9), p.1023

2020

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Feature Fusion Based Ensemble of Deep Networks for Acute Leukemia Diagnosis Using Microscopic Smear Images

IEEE access, 2024, Vol.12, p.54758-54771

2024

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Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning

Scientific reports, 2023-03, Vol.13 (1), p.3771-3771, Article 3771

2023

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Identifying ADHD for Children With Coexisting ASD From fNIRs Signals Using Deep Learning Approach

IEEE access, 2023, Vol.11, p.82794-82801

2023

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American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation

Identification of RNA pseudouridine sites using deep learning approaches

Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models

Dynamic Hand Gesture Recognition Using Multi-Branch Attention Based Graph and General Deep Learning Model

Carbon nanotube forest based electrostatic capacitor with excellent dielectric performances

Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques

Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal

Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset

predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance

Fitness Movement Types and Completeness Detection Using a Transfer-Learning-Based Deep Neural Network

Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis

Computational identification of multiple lysine PTM sites by analyzing the instance hardness and feature importance

BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition

Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique

Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network

Engineering Self-Assembly of a High‑χ Block Copolymer for Large-Area Fabrication of Transistors Based on Functional Graphene Nanoribbon Arrays

Multistage Spatial Attention-Based Neural Network for Hand Gesture Recognition

Ensembled Transfer Learning Based Multichannel Attention Networks for Human Activity Recognition in Still Images

Korean Sign Language Recognition Using Transformer-Based Deep Neural Network

Handwriting-based ADHD Detection for Children Having ASD using Machine Learning Approaches

Important Features Selection and Classification of Adult and Child from Handwriting Using Machine Learning Methods

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

Feature Fusion Based Ensemble of Deep Networks for Acute Leukemia Diagnosis Using Microscopic Smear Images

Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning

Identifying ADHD for Children With Coexisting ASD From fNIRs Signals Using Deep Learning Approach

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