On the public citation graph
Improved Recognition of Kurdish Sign Language Using Modified CNN
0 signed · 52 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s00500-019-04342-3openalex-snapshot
Research on key issues of gesture recognition for artificial intelligence
inferredcites →https://doi.org/10.1016/j.dib.2019.103777openalex-snapshot
ArASL: Arabic Alphabets Sign Language Dataset
inferredcites →https://doi.org/10.1016/j.engappai.2018.09.006openalex-snapshot
American Sign Language alphabet recognition using Convolutional Neural Networks with multiview augmentation and inference fusion
inferredcites →https://doi.org/10.1016/j.eswa.2010.08.056openalex-snapshot
Persian sign language (PSL) recognition using wavelet transform and neural networks
inferredcites →https://doi.org/10.1016/j.ins.2017.10.046openalex-snapshot
Independent Bayesian classifier combination based sign language recognition using facial expression
inferredcites →https://doi.org/10.1016/j.measurement.2020.108471openalex-snapshot
Persian sign language recognition using IMU and surface EMG sensors
inferredcites →https://doi.org/10.1016/j.neucom.2014.06.086openalex-snapshot
Feature learning based on SAE–PCA network for human gesture recognition in RGBD images
inferredcites →https://doi.org/10.1093/deafed/enu005openalex-snapshot
Technology Use Among Adults Who Are Deaf and Hard of Hearing: A National Survey
inferredcites →https://doi.org/10.1109/access.2019.2938829openalex-snapshot
User-Independent American Sign Language Alphabet Recognition Based on Depth Image and PCANet Features
inferredcites →https://doi.org/10.1109/cisim.2010.5643519openalex-snapshot
ArSLAT: Arabic Sign Language Alphabets Translator
inferredcites →https://doi.org/10.1109/crv.2014.20openalex-snapshot
Sign Language Fingerspelling Classification from Depth and Color Images Using a Deep Belief Network
inferredcites →https://doi.org/10.1109/cvprw.2009.5204291openalex-snapshot
Automatic recognition of fingerspelled words in British Sign Language
inferredcites →https://doi.org/10.1109/cvprw.2018.00280openalex-snapshot
Recognizing American Sign Language Gestures from Within Continuous Videos
inferredcites →https://doi.org/10.1109/iccnc.2019.8685536openalex-snapshot
Fine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time
inferredcites →https://doi.org/10.1109/icct.2011.6157974openalex-snapshot
Real time Indian Sign Language Recognition System to aid deaf-dumb people
inferredcites →https://doi.org/10.1109/icenco.2016.7856452openalex-snapshot
Arabic sign language fingerspelling recognition from depth and intensity images
inferredcites →https://doi.org/10.1109/icoase.2018.8548840openalex-snapshot
Dynamic Hand Gesture Recognition System for Kurdish Sign Language Using Two Lines of Features
inferredcites →https://doi.org/10.1109/ict.2019.8798856openalex-snapshot
Deep Learning for American Sign Language Fingerspelling Recognition System
inferredcites →https://doi.org/10.1109/ipta.2019.8936081openalex-snapshot
Recognizing Non-Manual Signs in Turkish Sign Language
inferredcites →https://doi.org/10.1109/tsp.2018.8441304openalex-snapshot
A Real-Time System for Recognition of American Sign Language by using Deep Learning
inferredcites →https://doi.org/10.1145/2735952openalex-snapshot
A Real-Time Hand Posture Recognition System Using Deep Neural Networks
inferredcites →https://doi.org/10.14500/aro.10827openalex-snapshot
Efficient Kinect Sensor-based Kurdish Sign Language Recognition Using Echo System Network
inferredcites →https://doi.org/10.14500/aro.10837openalex-snapshot
Kurdish Dialect Recognition using 1D CNN
inferredcites →https://doi.org/10.2478/acss-2021-0002openalex-snapshot
Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features
inferredcites →https://doi.org/10.25079/ukhjse.v2n1y2018.pp1-6openalex-snapshot
Kurdish Sign Language Recognition System
inferredcites →https://doi.org/10.25271/sjuoz.2022.10.1.870openalex-snapshot
Microcontroller-Based Kurdish Understandable and Readable Digital Smart Clock
inferredcites →https://doi.org/10.26480/aim.01.2023.08.14openalex-snapshot
A COMPARATIVE STUDY USING 2D CNN AND TRANSFER LEARNING TO DETECT AND CLASSIFY ARABIC-SCRIPT-BASED SIGN LANGUAGE
inferredcites →https://doi.org/10.3390/app10072591openalex-snapshot
Using 2D CNN with Taguchi Parametric Optimization for Lung Cancer Recognition from CT Images
inferredcites →https://doi.org/10.3390/e20110809openalex-snapshot
Multi-Modal Deep Hand Sign Language Recognition in Still Images Using Restricted Boltzmann Machine
inferredcites →https://doi.org/10.3390/electronics10091035openalex-snapshot
Spelling Correction Real-Time American Sign Language Alphabet Translation System Based on YOLO Network and LSTM
inferredcites →https://doi.org/10.3390/jimaging8040098openalex-snapshot
A Comparative Review on Applications of Different Sensors for Sign Language Recognition
inferredcites →https://doi.org/10.3390/s18072208openalex-snapshot
A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017
inferredcites →https://doi.org/10.3390/s23249646openalex-snapshot
Bioinspired Photoreceptors with Neural Network for Recognition and Classification of Sign Language Gesture
inferredcites →https://doi.org/10.3390/s23249847openalex-snapshot
Give Me a Sign: Using Data Gloves for Static Hand-Shape Recognition
inferredcites →https://doi.org/10.3390/s24020453openalex-snapshot
American Sign Language Recognition and Translation Using Perception Neuron Wearable Inertial Motion Capture System
inferredcites →https://doi.org/10.52547/jist.16060.10.39.211openalex-snapshot
Rough Sets Theory with Deep Learning for Tracking in Natural Interaction with Deaf
inferredcites →https://doi.org/10.5815/ijigsp.2014.01.06openalex-snapshot
Persian Sign Language Recognition Using Radial Distance and Fourier Transform
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781394302734.ch9openalex-snapshot
Future Direction in Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/s11042-024-20165-3openalex-snapshot
A multi-lingual sign language recognition system using machine learning
inferred← citeshttps://doi.org/10.1007/s44163-025-00629-7openalex-snapshot
A comprehensive survey on recent advances and challenges in sign language recognition systems
inferred← citeshttps://doi.org/10.1016/j.mex.2025.103374openalex-snapshot
KuSL2023: A standard for Kurdish sign language detection and classification using hand tracking and machine learning
inferred← citeshttps://doi.org/10.1038/s41598-025-01588-wopenalex-snapshot
ASLDetect: Arabic sign language detection using ResNet and U-Net like component
inferred← citeshttps://doi.org/10.1108/sr-01-2026-0064openalex-snapshot
Data glove sign language recognition based on expanded WDCNN fusioned with GRU
inferred← citeshttps://doi.org/10.1109/access.2024.3420776openalex-snapshot
Hybrid InceptionNet Based Enhanced Architecture for Isolated Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/iciscn64258.2025.10934412openalex-snapshot
Computer-Aided English Translation system based on Text-to-Text Transfer Transformer model
inferred← citeshttps://doi.org/10.1142/s0219843625400055openalex-snapshot
Multimodal Feature Fusion with Hybrid CNN for Real-Time Sign Language Recognition in Human–Robot Interaction
inferred← citeshttps://doi.org/10.1177/1088467x261475001openalex-snapshot
A contrastive enhancement and context guided fusion network for carotid plaque classification
inferred← citeshttps://doi.org/10.14500/aro.11897openalex-snapshot
The Improved Kurdish Dialect Classification Using Data Augmentation and ANOVA-Based Feature Selection
inferred← citeshttps://doi.org/10.25271/sjuoz.2024.12.2.1263openalex-snapshot
ENHANCING KURDISH SIGN LANGUAGE RECOGNITION THROUGH RANDOM FOREST CLASSIFIER AND NOISE REDUCTION VIA SINGULAR VALUE DECOMPOSITION (SVD)
inferred← citeshttps://doi.org/10.3390/app152312622openalex-snapshot
Optimizing Sign Language Recognition Through a Tailored MobileNet Self-Attention Framework
inferred← citeshttps://doi.org/10.53759/7669/jmc202505185openalex-snapshot
Develop an Ensemble Transfer Learning with Hybrid Vision Transformers with Convolutions for Enhancing Indian Sign Language Recognition
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.